A print friendly PDF version is available from this Communicable Diseases Intelligence issue's table of contents.
Introduction | Methods | Results | Discussion | Acknowledgements | References
The OzFoodNet Working Group
Abstract
In 2006, OzFoodNet sites reported 24,598 notifications of seven diseases or conditions that are commonly transmitted by food, representing an increase of 2.5% over the mean of the previous five years. The most frequently notified aetiological agents were Campylobacter (15,492 notifications) and Salmonella (8,331 notifications). Salmonella notifications increased in 2006 by 5.2% when compared to historical reports. The most common Salmonella serotype notified in Australia during 2006 was Salmonella Typhimurium, as in previous years. S. Saintpaul was the second most common serotype notified during 2006 as a result of a large multi-state outbreak associated with rockmelons. During 2006, OzFoodNet sites reported 1,544 outbreaks of gastrointestinal illness including those transmitted by contaminated food. In total, these outbreaks affected 34,916 people and resulted in 769 people being admitted to hospital and 27 deaths. Food was suspected or confirmed as the primary cause for 115 of these outbreaks and affected 1,522 persons, hospitalised 146 persons but did not result in any deaths. S. Typhimurium was the most common aetiological agent in foodborne outbreaks and restaurants were the most common setting for foods implicated in foodborne outbreaks. Sixteen outbreaks were related to eggs during 2006 compared to five outbreaks in 2005. Eighty-one per cent (13/16) of these egg-associated outbreaks were due to various phage types of S. Typhimurium. Fresh fruits and vegetables, categorised as fresh produce were responsible for four outbreaks, all due to salmonellosis. Public health laboratories provided complete serotype and phage type information on more than 97% of all Salmonella notifications during 2006. Completeness of reporting for Salmonella was equivalent to 2005 and was essential to identifying and investigating outbreaks. This report demonstrates OzFoodNet’s ability to detect and investigate the burden and causes of foodborne disease in Australia. OzFoodNet efforts assist agencies to develop food safety policy and prevent foodborne illness. Commun Dis Intell 2007;31:345–366.
Introduction
Foodborne illnesses are a substantial burden in Australia, with an estimated 5.4 million cases occurring annually, costing an estimated $1.2 billion dollars per year.1 Most foodborne illnesses are mild and do not require medical attention, with the majority of cost associated with the large number of affected people taking time from work to recover or care for affected family members. There are numerous enteric pathogens commonly transmitted through food that may cause illness; only a handful of these illnesses are specifically notifiable to health departments.2 Most foodborne illnesses are under-reported in surveillance statistics collected by health departments.3 The proportion of cases that are notified varies considerably by disease, as the severity of various illnesses differ markedly.4,5
Health departments use surveillance of infectious diseases for monitoring trends in illness, detecting outbreaks, and monitoring the effects of interventions.6 The source of infection can be difficult to determine in sporadic cases of enteric diseases, that is, cases not associated with an outbreak, as they may be acquired through a variety of transmission routes including contaminated water or foods, other infected persons, animals, or other sources within the environment. In outbreaks of enteric infections, the mode of transmission is more likely to be determined, allowing development of policy to prevent further disease.7
In 2000, the Australian Government Department of Health and Ageing established OzFoodNet to provide national intelligence on foodborne disease.8 OzFoodNet was modelled on the Centers for Disease Control and Prevention’s FoodNet surveillance system.9 The OzFoodNet network consists of epidemiologists employed by each state and territory health department to conduct investigations and applied research of foodborne disease. The network involves many different collaborators, in addition to OzFoodNet site staff, including the National Centre for Epidemiology and Population Health and the Public Health Laboratory Network. OzFoodNet has a member on the Communicable Diseases Network Australia, which is Australia’s peak body for communicable disease control.10 The Australian Government Department of Health and Ageing funds OzFoodNet and convenes committees to manage the network and review the scientific basis for various research projects.
This is the sixth annual report of OzFoodNet and covers data and activities for 2006.
Methods
Population under surveillance
In 2006, the coverage of the network included the entire Australian population, which was estimated to be 20,605,488 persons.11 All states and territories in Australia (New South Wales, Victoria, Queensland, South Australia, Western Australia, Tasmania, the Northern Territory, and the Australian Capital Territory) participated in OzFoodNet in 2006. In addition, surveillance in New South Wales was supplemented by an additional OzFoodNet site hosted by the Hunter New England Area Health Service.
Data sources
Notified infections
All Australian states and territories require doctors and/or pathology laboratories to notify patients with infectious diseases that are important to public health. OzFoodNet aggregated and analysed data on the following seven diseases or conditions, a proportion of which may be acquired from food:
- non-typhoidal Salmonella infections;
- Campylobacter infections (except in New South Wales);
- Listeria infections;
- Shigella infections
- typhoid; and
- Shiga toxin-producing Escherichia coli (STEC) infections and haemolytic uraemic syndrome (HUS).
To compare notifications in 2006 to historical totals, crude numbers and rates of notification were compared with either the mean of the previous five years or with data from the previous year. Specific sub-types of infecting organisms were analysed using data from the National Notifiable Diseases Surveillance System (NNDSS) and OzFoodNet sites. This report used a NNDSS dataset provided in June 2007 and was analysed by the date a notification was received by a jurisdiction. Numbers and rates may vary from those in the NNDSS 2006 annual report, which used a later NNDSS dataset and was analysed by date of diagnosis. The estimated resident populations for each state or territory as at June 200611 was used to calculate rates of notification. Birth data from the Australian Institute of Health and Welfare, National Perinatal Statistics Unit was used to calculate the incidence of neonatal listeriosis.12
Gastrointestinal and foodborne disease outbreaks
OzFoodNet collected information on gastrointestinal and foodborne disease outbreaks that occurred in Australia during 2006. An outbreak of foodborne disease was defined as two or more people with a particular infection or illness associated with a common food or meal. A cluster was defined as an increase in infections that were epidemiologically related in time, place or person where investigators were unable to implicate a vehicle or determine a mode of transmission.
OzFoodNet epidemiologists collated summary information about the setting where the outbreak occurred, where food was prepared, the month the outbreak occurred, the aetiological agent, the number of persons affected, the type of investigation conducted, the level of evidence obtained, and the food vehicle responsible for the outbreak. To summarise the data, outbreaks were categorised by aetiological agents, food vehicles and settings where the implicated food was prepared. Data on outbreaks due to transmission from water or from investigation of a cluster were also summarised. The number of outbreaks and documented causes reported here may vary from summaries previously published by individual jurisdictions as these can take time to finalise.
Results
Rates of notified infections
In 2006, OzFoodNet sites reported 24,598 notifications of seven diseases or conditions that are commonly transmitted by food. This represents a 2.5% increase from the mean of 24,020 notifications for the previous five years. Reports of these seven diseases make up almost a fifth of the notifications to the NNDSS.2 A summary of the number and rate of notification of these is shown in Table 1.
Table 1. Number of notified cases, rate and 5-year mean rate per 100,000 population of potentially foodborne diseases, Australia, 2001 to 2006, by disease and state or territory
Disease |
State or territory | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
ACT | NSW | NT | Qld | SA | Tas | Vic | WA | Aust | ||
Salmonella | Notified cases, 2006 | 125 |
2,081 |
399 |
2,749 |
574 |
193 |
1,406 |
804 |
8,331 |
Rate, 2006 | 38.0 |
30.5 |
193.0 |
67.8 |
36.9 |
39.5 |
27.6 |
39.2 |
40.4 |
|
Mean rate, 2001–2005 | 26.9 |
29.9 |
187.2 |
65.7 |
35.3 |
37.5 |
25.2 |
37.3 |
38.4 |
|
Campylobacter | Notified cases, 2006 | 414 |
* |
272 |
4,006 |
2491 |
598 |
5,710 |
2001 |
15,492 |
Rate, 2006 | 125.9 |
* |
131.6 |
98.8 |
160.2 |
122.3 |
112.1 |
97.6 |
112.4 |
|
Mean rate, 2001–2005 | 122.0 |
* |
123.0 |
106.5 |
155.8 |
136.9 |
116.0 |
113.9 |
118.5 |
|
Listeria | Notified cases, 2006 | 1 |
24 |
0 |
3 |
5 |
0 |
13 |
13 |
59 |
Rate, 2006 | 0.30 |
0.35 |
0.00 |
0.07 |
0.32 |
0.00 |
0.26 |
0.63 |
0.29 |
|
Mean rate, 2001–2005 | 0.37 |
0.33 |
0.10 |
0.34 |
0.24 |
0.29 |
0.28 |
0.44 |
0.32 |
|
Typhoid | Notified cases, 2006 | 0 |
32 |
3 |
6 |
2 |
1 |
18 |
12 |
74 |
Rate, 2006 | 0.00 |
0.47 |
1.45 |
0.15 |
0.13 |
0.20 |
0.35 |
0.59 |
0.36 |
|
Mean rate, 2001–2005 | 0.19 |
0.43 |
0.20 |
0.21 |
0.20 |
0.08 |
0.34 |
0.42 |
0.33 |
|
Shigella | Notified cases, 2006 | 2 |
74 |
123 |
98 |
38 |
4 |
77 |
136 |
552 |
Rate, 2006 | 0.61 |
1.08 |
59.5 |
2.42 |
2.44 |
0.82 |
1.51 |
6.63 |
2.68 |
|
Mean rate, 2001–2005 | 1.12 |
1.53 |
65.3 |
2.11 |
2.57 |
0.75 |
1.56 |
5.91 |
2.77 |
|
Shiga toxin-producing E. coli | Notified cases, 2006 | 0 |
13 |
2 |
15 |
37 |
0 |
3 |
3 |
73 |
Rate, 2006 | 0.0 |
0.2 |
1.0 |
0.4 |
2.4 |
0.0 |
0.1 |
0.1 |
0.4 |
|
Mean rate, 2001–2005 | 0.00 |
0.08 |
0.00 |
0.23 |
2.23 |
0.08 |
0.10 |
0.23 |
0.29 |
|
Haemolytic uraemic syndrome | Notified cases, 2006 | 0 |
15 |
0 |
0 |
1 |
0 |
1 |
0 |
17 |
Rate, 2006 | 0.00 |
0.22 |
0.00 |
0.00 |
0.06 |
0.00 |
0.02 |
0.00 |
0.08 |
|
Mean rate, 2001–2005 | 0.00 |
0.10 |
0.30 |
0.03 |
0.12 |
0.08 |
0.05 |
0.03 |
0.07 |
* Campylobacter is not a notifiable disease in New South Wales.
Salmonella infections
In 2006, OzFoodNet sites reported 8,331 cases of Salmonella infection, a crude rate of 40.4 cases per 100,000 population. The 2006 rate was a 5.2% increase over the mean of the previous five years (Table 1). Notification rates ranged from 27.6 cases per 100,000 population in Victoria to 193 cases per 100,000 population in the Northern Territory, which usually has the highest rate of salmonellosis. The male to female ratio for salmonellosis was 1:1. The highest age-specific rate of Salmonella infection was 203 cases per 100,000 population in males aged from 0–4 years. Notifications were also elevated for both males and females in the 5–9 year age group and in the 20–29 year age group.
In 2006, the most commonly reported Salmonella serotype was S. Typhimurium. The most commonly notified phage type was S. Typhimurium 135 (including S. Typhimurium 135a), with 751 notifications in 2006 (Table 2). S. Saintpaul was the second most common serotype notified in Australia and featured in the top five for all jurisdictions except South Australia. During 2006, there was a large multi-state outbreak of Salmonella Saintpaul associated with rockmelons, which contributed to the widespread notification of this serotype.
The highest specific rates for a single serotype were for Salmonella Mississippi (13.1 cases per 100,000 population) in Tasmania and S. Saintpaul (16 cases per 100,000 population) and S. Ball (15 cases per 100,000 population) in the Northern Territory.
Table 2. Numbers, rates and proportions of the top 5 Salmonella infections, Australia, 2005 to 2006, by OzFoodNet site*
OzFoodNet site |
Salmonella sero/phage type | 2006 n |
2006 rate† | Proportion‡ (%) |
2005 n |
2005 rate | 2006/2005 ratio† |
---|---|---|---|---|---|---|---|
Australian Capital Territory | Saintpaul | 14 |
4.3 |
11 |
3 |
0.9 |
4.7 |
Typhimurium 135 | 12 |
3.6 |
10 |
13 |
4.0 |
0.9 |
|
Typhimurium 170/108 | 11 |
3.3 |
9 |
14 |
4.3 |
0.8 |
|
Typhimurium 9 | 7 |
2.1 |
6 |
10 |
3.1 |
0.7 |
|
Typhimurium 44 | 7 |
2.1 |
6 |
4 |
1.2 |
1.8 |
|
New South Wales | Typhimurium 170/108 | 223 |
3.3 |
11 |
375 |
5.5 |
0.6 |
Typhimurium 135 | 210 |
3.1 |
10 |
180 |
2.7 |
1.2 |
|
Birkenhead | 105 |
1.5 |
5 |
82 |
1.2 |
1.3 |
|
Saintpaul | 103 |
1.5 |
5 |
42 |
0.6 |
2.5 |
|
Typhimurium 9 | 77 |
1.1 |
4 |
155 |
2.3 |
0.5 |
|
Northern Territory | Saintpaul | 33 |
16.0 |
8 |
49 |
24.1 |
0.7 |
Ball | 31 |
15.0 |
8 |
48 |
23.6 |
0.6 |
|
Typhimurium 135 | 21 |
10.2 |
5 |
1 |
0.5 |
21.0 |
|
Chester | 17 |
8.2 |
4 |
12 |
5.9 |
1.4 |
|
Muenchen | 16 |
7.7 |
4 |
9 |
4.4 |
1.8 |
|
Infantis | 16 |
7.7 |
4 |
8 |
3.9 |
2.0 |
|
Queensland | Saintpaul | 267 |
6.6 |
10 |
274 |
6.9 |
1.0 |
Virchow 8 | 215 |
5.3 |
8 |
190 |
4.8 |
1.1 |
|
Typhimurium 135 | 177 |
4.4 |
6 |
136 |
3.4 |
1.3 |
|
Birkenhead | 154 |
3.8 |
6 |
128 |
3.2 |
1.2 |
|
Aberdeen | 136 |
3.4 |
5 |
136 |
3.4 |
1.0 |
|
South Australia | Typhimurium 135 | 79 |
5.1 |
14 |
47 |
3.0 |
1.7 |
Typhimurium 170/108 | 62 |
4.0 |
11 |
36 |
2.3 |
1.7 |
|
Typhimurium 9 | 58 |
3.7 |
10 |
57 |
3.7 |
1.0 |
|
Infantis | 37 |
2.4 |
6 |
48 |
3.1 |
0.8 |
|
Anatum | 22 |
1.4 |
4 |
6 |
0.4 |
3.7 |
|
Tasmania | Mississippi | 64 |
13.1 |
33 |
59 |
12.1 |
1.1 |
Typhimurium 135 | 40 |
8.2 |
21 |
176 |
36.2 |
0.2 |
|
Typhimurium 170/108 | 15 |
3.1 |
8 |
7 |
1.4 |
2.1 |
|
Typhimurium 9 | 15 |
3.1 |
8 |
10 |
2.1 |
1.5 |
|
Saintpaul | 6 |
1.2 |
3 |
2 |
0.4 |
3.0 |
|
Victoria | Typhimurium 135 | 158 |
3.1 |
11 |
191 |
3.8 |
0.8 |
Typhimurium 9 | 125 |
2.5 |
9 |
118 |
2.3 |
1.1 |
|
Typhimurium 44 | 115 |
2.3 |
8 |
50 |
1.0 |
2.3 |
|
Typhimurium 170/108 | 100 |
2.0 |
7 |
63 |
1.3 |
1.6 |
|
Saintpaul | 76 |
1.5 |
5 |
22 |
0.4 |
3.5 |
|
Western Australia | Oranienburg | 82 |
4.0 |
10 |
62 |
3.1 |
1.3 |
Saintpaul | 60 |
2.9 |
7 |
31 |
1.5 |
1.9 |
|
Typhimurium 135 | 54 |
2.6 |
7 |
42 |
2.1 |
1.3 |
|
Typhimurium 12 | 33 |
1.6 |
4 |
28 |
1.4 |
1.2 |
|
Muenchen | 31 |
1.5 |
4 |
30 |
1.5 |
1.0 |
|
Australia | Typhimurium 135 | 751 |
3.6 |
9 |
813 |
4.0 |
0.9 |
Saintpaul | 572 |
2.8 |
7 |
436 |
2.1 |
1.3 |
|
Typhimurium 170/108 | 474 |
2.3 |
6 |
550 |
2.7 |
0.9 |
|
Typhimurium 9 | 358 |
1.7 |
4 |
421 |
2.1 |
0.9 |
|
Virchow 8 | 273 |
1.3 |
3 |
248 |
1.2 |
1.1 |
* Where there were multiple fifth ranking Salmonella types all data have been shown, giving more than five categories for some sites.
† Rate per 100,000 population.
‡ Proportion of total Salmonella notified for this jurisdiction in 2006.
§ Ratio of the number of reported cases in 2006 compared to the number reported in 2005.
Salmonella Enteritidis
Salmonella Enteritidis is an internationally important serotype of Salmonella that has caused widespread and prolonged outbreaks in the United States of America (USA) and Europe.13,14 This serotype can infect the internal contents of eggs through the oviducts of infected chickens15,16 but has not been associated with Australian egg layer flocks. The majority of cases in Australia are associated with overseas travel. OzFoodNet monitors the incidence of S. Enteritidis to detect outbreaks of locally-acquired cases.
During 2006, OzFoodNet sites reported 305 cases of S. Enteritidis (Table 3). Of those cases where travel status was reported, 85% (198/233) had travelled overseas and cases often reported visiting several countries. Asian countries were the most frequently reported travel destination, perhaps reflecting that these countries are common travel destinations for Australians. In the Asian region, cases of S. Enteritidis infection were reported after travelling to Indonesia (36, 15%), Thailand (30, 13%), and Singapore (24, 10%). The most common infecting phage types among cases who had travelled overseas were 6a (51 cases), 1 (38), 26 (37) and 4 (29). A travel history could not be determined for 24% (72/305) of cases in 2006, which was an increase from 11% (44/387) in 2005. The better reporting of travel history in 2005 may have been due to the completion of enhanced data collection in late 2005, for an OzFoodNet national study of locally-acquired S. Enteritidis.
Table 3. Number of Salmonella Enteritidis infections, Australia, 2006, by travel history, and state or territory
OzFoodNet site |
History of travel overseas | Total | ||
---|---|---|---|---|
Yes | No | Unknown | ||
Australian Capital Territory | 6 |
2 |
0 |
8 |
New South Wales | 43 |
4 |
22 |
69 |
Northern Territory | 6 |
1 |
3 |
10 |
Queensland | 22 |
20 |
38 |
80 |
South Australia | 11 |
2 |
1 |
14 |
Tasmania | 4 |
0 |
0 |
4 |
Victoria | 47 |
2 |
5 |
54 |
Western Australia | 59 |
4 |
3 |
66 |
Total | 198 |
35 |
72 |
305 |
Overall, 15% (35/233) of patients infected with S. Enteritidis acquired their infection in Australia. These 35 locally-acquired cases compares with an average of 53 cases per year for the previous three years. The median age of locally-acquired cases was 34 years (range 0–91 years) and 55% were male. Just over half of all locally-acquired S. Enteritidis cases during 2006 occurred in Queensland (57%, 20/35 cases); most of these cases were due to phage type 26 (65%, 13/20 cases). Locally-acquired S. Enteritidis cases continued to be highly seasonal, occurring primarily in the summer (Figure 1).
Figure 1. Salmonella Enteritidis infections acquired in Australia, 2004 to 2006, by phage type and month of notification
Campylobacter infections
In 2006, OzFoodNet sites (excluding New South Wales) reported 15,492 cases of Campylobacter infection; a rate of 112.4 cases per 100,000 population. This rate was equivalent to the mean for the previous five years of 118.5 cases per 100,000 population (Table 1). Victoria, Queensland, Western Australia, and Tasmania all reported slight decreases in their rate of notification for 2006 compared to the mean for the previous five years. The lowest and highest rates of Campylobacter notification were in Western Australia (98 cases per 100,000 population) and in South Australia (160 cases per 100,000 population) respectively. The highest age-specific rate of notifications was in males in the 0–4 year age group (248 cases per 100,000 population) with a secondary peak in the 20–29 year age group for both males and females. Fifty-four per cent of notified cases were male.
Listeria infections
OzFoodNet sites reported 59 cases of listeriosis in 2006; a rate of 0.3 cases per 100,000 population (Table 1). The 2006 notification rate was equivalent to the five-year historical mean (0.32 cases per 100,000 population).
Eighty-six per cent (51/59) of Listeria infections during 2006 were reported in non-pregnant persons, who were either elderly and/or immunocompromised. Among these non-pregnancy related cases, the male to female ratio was approximately 1:1, and 94% (48/51 were reported in persons aged 50 years or greater. Fourteen per cent (7/51) of non-pregnancy associated cases died, which was similar to previous years (Figure 2).
Eight materno-foetal infections were reported during 2006, giving a rate of 3.1 cases per 100,000 births. New South Wales reported four cases, Western Australia reported two cases, and the Australian Capital Territory and Queensland each reported single cases during 2006. Twenty-five per cent (2/8) of infected neonates died during 2006, which was a consistent outcome reported in previous years.
Figure 2. Notifications of Listeria showing non-pregnancy related infections and deaths, and materno-foetal infections and deaths, Australia, 2001 to 2006
Shigella infections
OzFoodNet sites reported 552 cases of shigellosis during 2006, a rate of 2.7 cases per 100,000 population (Table 1). This rate was equivalent to the mean for the previous five years of 2.8 cases per 100,000 population. As in previous years, the highest rate of notification was in the Northern Territory (60 cases per 100,000 population). In recent years, notification rates for shigellosis have decreased in all jurisdictions except Queensland and Western Australia. The male to female ratio of shigellosis cases was approximately 1:1.1. The highest age-specific notification rates were in the 0–4 years age group for both males (12.5 cases per population) and females (9.2 cases per 100,000 population). Mannitol negative Shigella flexneri 4a was the most common type reported in 2006 (Table 4). The most common Shigella sonnei biotypes, A and G, decreased during 2006 compared with 2005. It is estimated that approximately 10% of Shigella cases in Australia are due to foodborne transmission: other predominant modes of transmission of Shigella are overseas travel and through person-to-person transmission.17 OzFoodNet sites did not identify any food-related outbreaks of Shigella during 2006.
Table 4. Numbers, rates and proportions of the top 5 Shigella infections, Australia, 2005 to 2006
2006 | 2006 | Proportion† | 2005 | 2005 | 2006/2005 | |
---|---|---|---|---|---|---|
n | Rate* | % | n | Rate* | Ratio | |
Shigella flexneri 4a Mannitol negative | 93 |
0.5 |
18 |
77 |
0.4 |
1.2 |
Shigella flexneri 4 | 82 |
0.4 |
16 |
46 |
0.2 |
1.8 |
Shigella sonnei biotype A | 77 |
0.4 |
15 |
169 |
0.8 |
0.5 |
Shigella sonnei biotype G | 73 |
0.4 |
14 |
136 |
0.7 |
0.5 |
Shigella flexneri 2a | 53 |
0.3 |
10 |
78 |
0.4 |
0.7 |
* Rate per 100,000 population.
† Proportion of total Shigella notified for 2006.
Typhoid infections
OzFoodNet sites reported 74 cases of typhoid infection during 2006; a rate of 0.4 cases per 100,000 population (Table 1). This rate was equivalent to the mean for the previous five years of 0.3 cases per 100,000 population. The highest rate of typhoid was reported by the Northern Territory (1.5 cases per 100,000 population). The Australian Capital Territory reported no cases of typhoid during 2006.
Travel overseas, which is a significant risk factor for typhoid infection, was reported in 93% (68/73) of typhoid cases (Table 5). A single case (untypeable) reported no overseas travel prior to their illness. Over a third of cases reporting travel overseas (27/68 cases) had travelled to India. The predominant typhoid phage types causing illness in travellers returning from India was E1 (14 cases) and E9 (5 cases).
Table 5. Travel status for notified typhoid cases acquired overseas, Australia, 2006
Country/region |
Number of cases | Predominant phage type (# cases) |
---|---|---|
Asia | 1 |
Degraded (1) |
Bali | 1 |
Unknown (1) |
Bangladesh | 8 |
D6 (1), E9 (3), degraded (1), untypable (1), unknown (2) |
China | 1 |
25 (1) |
Ghana | 1 |
A (1) |
India | 24 |
A1 (1), E1 (14), E9 (3), K1 (1), 51 (1), untypable (3), unknown (1) |
India/other | 3 |
E9 (2), O variant (1) |
Indonesia | 12 |
D2 (1), E2 (2), degraded (2), untypable (5), unknown (2) |
Kenya | 2 |
E1 (2) |
Lebanon | 1 |
D1 (1) |
Nepal | 1 |
E9 (1) |
Pakistan | 6 |
E1 ( 2), E9 (1 ), 38 (1), untypable (1), unknown (1) |
Papua New Guinea | 1 |
D2 (1) |
Philippines | 1 |
A (1) |
Samoa | 1 |
E variant (1) |
Thailand | 3 |
E9 (2) M1 (1) |
Vietnam | 1 |
Unknown (1) |
Unknown | 5 |
A(2), degraded (2), untypable (1) |
Shiga toxin-producing Escherichia coli infections
OzFoodNet sites reported 73 cases of Shiga toxin producing E. coli (STEC) infection during 2006; a rate of 0.4 cases per 100,000 population (Table 1). The mean for the previous five years was 0.3 cases per 100,000 population. These numbers do not include cases of haemolytic uraemic syndrome (HUS) where an STEC organism was isolated or detected in stool samples as these are notified separately.
South Australia reported the majority of STEC cases and had the highest rate of notification at 2.4 cases per 100,000 population. South Australia continued a screening program for STEC in stools with visible blood. This accounts for the consistently high rate in South Australia compared with other jurisdictions. Other jurisdictions have also, at times, enhanced their screening programs resulting in increased notifications of STEC. The Australian Capital Territory and Tasmania reported no cases of STEC in 2006. The male to female ratio of cases was 0.8:1, similar to the ratio in 2005. The highest reported rate was for females in the 0–4 years age group (1.0 case per 100,000 population).
During 2006, E. coli serotype O157 was responsible for 58% (21/36) of infections where serotype information was available, compared to 39% in 2005 (Table 6). E. coli serotype O111 and O26 were the second most common serotype each with five cases reported. A serotype was not identified in 51% (37/73) of cases.
Table 6. Number of notified cases of Shiga toxin-producing Escherichia coli, Australia,2006, by serotype, and state or territory
Serotype |
State | Total | |||||
---|---|---|---|---|---|---|---|
NSW | NT | Qld | SA | WA | Vic | ||
O157 | 2 |
0 |
3 |
14 |
1 |
1 |
21 |
O111 | 1 |
0 |
3 |
1 |
0 |
0 |
5 |
O26 | 2 |
0 |
1 |
2 |
0 |
0 |
5 |
O113 | 0 |
0 |
1 |
0 |
0 |
0 |
1 |
O55 | 1 |
0 |
0 |
0 |
0 |
0 |
1 |
O153 | 0 |
0 |
0 |
0 |
1 |
0 |
1 |
Mixed infection | 0 |
0 |
0 |
0 |
0 |
2 |
2 |
Unknown | 7 |
2 |
7 |
20 |
1 |
0 |
37 |
Total | 13 |
2 |
15 |
37 |
3 |
3 |
73 |
Haemolytic uraemic syndrome
OzFoodNet sites reported 17 cases of haemolytic uraemic syndrome reported during 2006; a rate of 0.08 cases per 100,000 population (Table 1). This was the same number and a comparable rate to that reported in 2005 (Figure 3). New South Wales notified 15 cases, and Victoria and South Australia each reported a single case. Nine of the cases (53%) were female. The median age of HUS cases was 9 years and the age range was 1.2 to 81.4 years. The highest rate of notification was in males aged 0–4 years with a rate of 0.5 cases per 100,000 population. Sites reported that STEC was detected in the faeces of five HUS cases but a serotype was reported for one case from New South Wales (STEC O55).
The 15 HUS cases reported from New South Wales were part of two identified clusters from January/February and November/December 2006 (Figure 3). Enhanced surveillance and active case finding in renal units and children’s hospitals may account for the observed increase in HUS cases in NSW. These cases were investigated initially by New South Wales public health units and then reinterviewed by OzFoodNet staff to determine whether there were any links between cases. No common links or risk factors for infection were identified during these investigations.18 OzFoodNet sites did not identify any cases of HUS between March and October 2006.
Figure 3. Numbers of notified cases of haemolytic uraemic syndrome, Australia, 2001 to 2006, by state or territory
Gastrointestinal and foodborne disease outbreaks
During 2006, OzFoodNet sites reported 1,544 outbreaks of gastrointestinal illness. These outbreaks affected 34,916 people and resulted in 769 people being admitted to hospital and 27 deaths. Person-to-person transmission was the mode of transmission for 83% (1,285/1,544) of outbreaks (Figure 4) and accounted for 92% (32,155/34,916) of all persons affected by outbreaks including 27 deaths.
Figure 4. Foodborne and gastroenteritis outbreaks (n=1544) reported by OzFoodNet sites, Australia, 2006, by mode of transmission
Sixty per cent (777/1,285) of outbreaks associated with person-to-person transmission occurred in aged care facilities, while 20% (259/1,285) and 13% (167/1,285) occurred in hospital and child care settings, respectively. Fifty per cent (636/1,285) of person-to-person outbreaks were caused by norovirus, while 29% (370/1,285) were of unknown aetiology and 10% (132/1,285) were suspected to be due to a viral pathogen. Cryptosporidium and rotavirus were each responsible for 3% of person-to-person outbreaks (36/1,285 and 35/1,285, respectively).
There were 16 outbreaks of mixed infections. These outbreaks were due to norovirus in addition to other viral pathogens such as rotavirus, adenovirus, astrovirus, and non-viral pathogens such as Campylobacter, Clostridium difficile, and Giardia.
In 2006, OzFoodNet sites also investigated 30 outbreaks of recreational waterborne illness. These outbreaks affected 169 people, with no hospitalisations. All of these outbreaks occurred in Victoria and all were associated with swimming pools contaminated by Cryptosporidium.
Foodborne disease outbreaks
In 2006, there were 115 foodborne disease outbreaks giving an overall rate of 5.6 outbreaks per million population. These outbreaks affected 1,522 persons, hospitalised 146 persons but did not result in any deaths (Appendix 1).
New South Wales reported the largest number of outbreaks (38%, 44/115) (Table 7). The reporting rates of foodborne outbreaks for different OzFoodNet sites ranged from two outbreaks per million population in Tasmania to 14.5 outbreaks per million population in Northern Territory. The majority of outbreaks occurred in summer and autumn (Figure 5).
Table 7. Outbreaks of foodborne disease in Australia, 2006, by OzFoodNet site
State or territory |
Number of outbreaks | People affected | Mean size (persons) | Hospitalised | Outbreaks per million population |
---|---|---|---|---|---|
Australian Capital Territory | 3 |
27 |
9 |
1 |
9.1 |
New South Wales | 44 |
496 |
11 |
65 |
6.4 |
Northern Territory | 3 |
26 |
9 |
5 |
14.5 |
Queensland | 28 |
403 |
14 |
23 |
6.9 |
South Australia | 7 |
65 |
9 |
8 |
4.5 |
Tasmania | 1 |
9 |
9 |
2 |
2.0 |
Victoria | 21 |
293 |
14 |
18 |
4.1 |
Western Australia | 5 |
92 |
18 |
4 |
2.4 |
Multi-state | 3 |
111 |
37 |
20 |
n/a |
Total | 115 |
1,522 |
13 |
146 |
5.6 |
Figure 5. Outbreaks of foodborne disease, Australia, 2006, by selected aetiological agents and month of notification
Aetiological agents
The most common agent responsible for foodborne disease outbreaks was Salmonella, which caused 36% (41/115) of outbreaks (Table 8). S. Typhimurium was responsible for 61% (25/41) of foodborne Salmonella outbreaks.
Table 8. Aetiological agents responsible for foodborne disease outbreaks, number of outbreaks and persons affected, Australia, 2006
Agent category |
Number of outbreaks | People affected | Mean size (people) | Hospitalised | Hospitalisation rate |
---|---|---|---|---|---|
Bacillus cereus | 1 |
14 |
14 |
0 |
0.0 |
Campylobacter spp. | 4 |
67 |
17 |
4 |
6.0 |
Ciguatera | 7 |
30 |
4 |
8 |
26.7 |
Clostridium perfringens | 6 |
199 |
33 |
0 |
0.0 |
Hepatitis A | 1 |
10 |
10 |
1 |
10.0 |
Histamine | 4 |
12 |
3 |
7 |
58.3 |
Norovirus | 11 |
369 |
34 |
4 |
1.1 |
Salmonella Typhimurium | 25 |
258 |
10 |
76 |
29.5 |
Salmonella other | 16 |
209 |
13 |
31 |
14.8 |
Staphylococcus aureus | 1 |
3 |
3 |
0 |
0.0 |
Sodium nitrite | 1 |
6 |
6 |
6 |
100.0 |
Vibrio cholerae | 1 |
3 |
3 |
2 |
66.7 |
Unknown | 37 |
342 |
9 |
7 |
2.0 |
Total | 115 |
1,522 |
13 |
146 |
9.6 |
Eleven of the 19 outbreaks of illness due to toxins in 2006 were related to contaminated fish. Outbreaks of ciguatera fish poisoning (7 outbreaks) and histamine poisoning (4 outbreaks) were small with a mean of four and three persons affected, respectively. Other toxin related outbreaks included six outbreaks of Clostridium perfringens intoxication, and one outbreak each of Staphylococcus aureus and Bacillus cereus intoxication.
Aetiological agents responsible for foodborne outbreaks also included 11 outbreaks due to foodborne norovirus (369 people), four outbreaks due to Campylobacter species (67 people), one outbreak of hepatitis A (10 people) and one outbreak of Vibrio cholerae (3 people).
Thirty-two per cent (37/115) of outbreaks were of unknown aetiology. These outbreaks affected 342 people, including seven people who were hospitalised.
The highest hospitalisation rate was seen in one outbreak of methaemoglobinemia due to sodium nitrite, where all six notified cases were hospitalised; however, this outbreak was identified via the hospital cases. High hospitalisation rates were also seen in one outbreak of Vibrio cholerae, where 67% (2/3 people) of people affected were hospitalised, and in four different outbreaks of histamine, where in total 58% (7/12 people) of people affected were hospitalised.
Food vehicles
There was a wide variety of foods implicated in outbreaks of foodborne disease during 2006 (Table 9), although investigators could not identify a specific food vehicle in 40% (46/115) of outbreaks.
Table 9. Categories of food vehicles implicated in foodborne disease outbreaks, Australia, 2006
Vehicle category |
Number of outbreaks | People affected | Hospitalised |
---|---|---|---|
Fish | 13 |
49 |
17 |
Egg-containing dish | 11 |
125 |
50 |
Mixed dish | 8 |
67 |
4 |
Poultry | 6 |
97 |
3 |
Eggs | 5 |
66 |
14 |
Meat, not poultry | 4 |
94 |
0 |
Fresh produce | 4 |
122 |
19 |
Sushi | 4 |
17 |
1 |
Salad dish | 3 |
38 |
0 |
Sandwiches | 3 |
28 |
1 |
Cake | 2 |
31 |
0 |
Processed meat | 2 |
20 |
4 |
Dips | 1 |
2 |
0 |
Sodium nitrite | 1 |
6 |
6 |
Seafood | 1 |
6 |
0 |
Water | 1 |
46 |
0 |
Unknown | 46 |
708 |
27 |
Total | 115 |
1,522 |
146 |
In 2006, eggs and egg-containing dishes were the most common food vehicle and were responsible for 14% (16/115) of foodborne outbreaks. These 16 outbreaks affected 191 people and hospitalised 64 people and all were due to salmonellosis. Outbreaks where investigators epidemiologically or microbiologically implicated eggs eaten alone, that is, not in a dish with other ingredients, or where there was a high degree of suspicion that eggs eaten alone were the responsible vehicle, were included in the egg category. An egg-containing dish was defined as a dish where eggs were one of the main ingredients but not the only ingredient or where cross-contamination from eggs was the cause of the outbreak. Food items included in this category included desserts commonly made with raw eggs, such as gateau (cake) or chocolate mousse, as well as other foods made with raw eggs such as milkshakes and raw pikelet dough. Other foods included were items suspected to be cross-contaminated with eggs in their preparation such as hamburgers and bakery products.
Contaminated fish was the second most common food vehicle and was responsible for 11% (13/115) of foodborne outbreaks. Seven outbreaks were due to ciguatera fish poisoning and four outbreaks were due to histamine poisoning. Queensland reported five of the seven ciguatera outbreaks, while Victoria and the Northern Territory reported one ciguatera outbreak each. Two of the four histamine outbreaks were associated with the consumption of tuna, while the other two histamine outbreaks were associated with eating yellowtail kingfish. An outbreak of Vibrio cholerae was caused by consumption of contaminated whitebait imported from Indonesia.19 Another outbreak of unknown aetiology was associated with the consumption of Nile perch fillets. An outbreak of unknown aetiology was associated with oysters; this outbreak was classified as seafood rather than fish.
There were eight outbreaks associated with mixed dishes; this category includes dishes made up of multiple ingredients as well as buffet meals where a wide variety of foods and dishes were served. These dishes contained a variety of ingredients, including vegetables, meats, and spreads/dressings, which made it difficult to assign the cause to one food category. Consumption of poultry was responsible for six outbreaks and meat other than poultry for four outbreaks.
Fresh fruits and vegetables, categorised as fresh produce in Table 9, were responsible for four outbreaks, all due to salmonellosis. Single outbreaks were associated with rockmelon, paw paw, alfalfa sprouts, and in one outbreak bean sprouts were suspected to be the cause.
Other food vehicles implicated in outbreaks included sushi (4 outbreaks), salad dishes (3 outbreaks), sandwiches (3 outbreaks), cake (2 outbreaks), and processed meat (2 outbreaks; one due to salami and one due to capocollo). Single outbreaks were due to dips and drinking water. There was one outbreak of methaemoglobinemia due to sodium nitrite (sold commercially as 'nutre powder') used in the preparation of food.
Outbreak settings
The most common settings where food was prepared in outbreaks was restaurants (41%, 47/115), and private residences (13%, 15/115). Foods prepared at a takeaway or by commercial caterers were each responsible for 10 outbreaks (Table 10). Foods that were contaminated in primary production environments (‘primary produce’), such as fish contaminated with ciguatera toxin and fresh fruits and vegetables contaminated with Salmonella, accounted for another 10 outbreaks. Food prepared in aged care facilities and by commercial manufacturers was responsible for five and four outbreaks respectively, while food prepared at bakeries and camps was responsible for two outbreaks each. There was one outbreak each due to food prepared in a child care centre, an institution other than an aged care home or hospital, and a national franchised fast food restaurant. There was one outbreak due to food prepared in the community; this was an outbreak where the suspected food vehicle, eggs, was prepared separately by individual households and resulted in a community wide increase of cases of S. Typhimurium 44.
Table 10. Food preparation settings implicated in disease outbreaks, Australia, 2006
Setting category |
Number of outbreaks | People affected | Hospitalised |
---|---|---|---|
Restaurant | 47 |
442 |
26 |
Private residence | 15 |
100 |
22 |
Takeaway | 10 |
110 |
9 |
Commercial caterer | 10 |
202 |
3 |
Primary produce | 10 |
141 |
26 |
Aged care facility | 5 |
46 |
4 |
Commercially manufactured | 4 |
25 |
4 |
Bakery | 2 |
25 |
1 |
Camp | 2 |
112 |
2 |
Child care centre | 1 |
4 |
0 |
Community | 1 |
43 |
9 |
Institution | 1 |
47 |
32 |
National franchised fast food | 1 |
24 |
0 |
Other | 5 |
196 |
8 |
Unknown | 1 |
5 |
0 |
Total | 115 |
1,522 |
146 |
Investigative methods and levels of evidence
States and territories investigated 31 outbreaks using retrospective cohort studies and seven outbreaks using case control studies. Forty-two per cent (13/31) of cohort studies were used for outbreaks of unknown aetiology, which was a similar proportion to previous years. In 69 outbreaks, descriptive information was used to attribute a foodborne cause or identify a food vehicle. No individual patient data was collected in the remaining eight outbreaks.
To attribute the cause of the outbreak to a specific food vehicle, investigators obtained analytical evidence from epidemiological studies in nine outbreaks. Microbiological evidence of contaminated food was found in 14 outbreaks, with a further seven outbreak investigations obtaining both microbiological and analytical evidence. Investigators obtained analytical and/or microbiological evidence for 41% (17/41) of Salmonella outbreaks, which was similar to the proportion in 2005 (39%). Seventy-three per cent (85/115) of outbreaks relied on descriptive evidence to implicate a food or foodborne transmission.
Significant outbreaks
There were nine outbreaks affecting 40 or more persons in 2006. Three of these outbreaks were due to norovirus, two were due to Clostridium perfringens, two were due to S. Typhimurium and there was one each due to S. Saintpaul and Campylobacter jejuni. In total, these significant outbreaks affected 594 people, with an average of 66 people per outbreak (range 41–122 people) and 56 people were hospitalised.
Multi-state outbreaks
In 2006, OzFoodNet conducted three multi-state investigations into foodborne disease outbreaks. In May, there was an outbreak of S. Bovismorbificans 11 in Victoria and South Australia due to capocollo (processed meat) manufactured in Victoria. There were 13 cases from Victoria and two cases from South Australia. This outbreak prompted a consumer level recall of nationally distributed capocollo due to microbial contamination with S. Bovismorbificans 11.
In October 2006, New South Wales identified an increase in cases of S. Saintpaul and began interviewing cases. OzFoodNet coordinated a multi-state investigation team for this outbreak when other eastern Australian states also reported increases in cases of S. Saintpaul. The investigation team conducted a case control study that implicated rockmelons as the source of infection. Identifying the sources of implicated rockmelons was very difficult and various serotypes of Salmonella were isolated from rockmelons, in packing environments and on farms.20
In November 2006, Western Australia and Queensland investigated a multi-state outbreak of S. Litchfield associated with paw paw (papaya) grown in Western Australia. Paw paw was implicated as the responsible food vehicle in a case control study conducted by Western Australia. Food sampling demonstrated that paw paw sold in retail outlets in Western Australia (Perth) were contaminated with S. Litchfield, however, the source of the paw paw contamination on specific farms was not found.
Cluster investigations
During 2006, states and territories conducted investigations into 114 clusters where the mode of transmission was unknown. This included 50 clusters of Salmonella, two clusters of other pathogens, and 62 clusters of unknown aetiology. These clusters affected 1,070 people and hospitalised at least 40 people.
Forty-three per cent (50/114) of all cluster investigations were related to Salmonella, where the mean number of cases was 7.2 per cluster and the total number of persons affected was 360, with at least 15 people hospitalised. S. Typhimurium was responsible for 34% (17/50) of Salmonella cluster investigations. Clusters of S. Typhimurium and non-Typhimurium strains involved similar numbers of people, with a mean of 7.8 persons and 6.9 persons per cluster, respectively. Of the remaining 33 clusters, 26 different Salmonella serotypes other than Typhimurium were involved.
There were two investigations into clusters of other pathogens; these were both mixed infections of norovirus and Clostridium difficile, one in the community and one in an institution other than an aged care facility or a hospital.
There were 62 investigations into clusters of unknown aetiology where the mode of transmission was unknown. These 62 clusters affected 671 persons (an average of 10.8 cases per cluster) and hospitalised at least 25 persons. Thirty-two per cent (20/62) of these cluster investigations were in aged care facilities, and 11% (7/62) were in the community. Commercial caterers, restaurants, and child care centres each accounted for 8% (5/62) of these clusters.
Completeness of Salmonella serotyping and phage typing
Overall, 97.4% of Salmonella notifications on state and territory notification databases contained information about serotype and/or phage type (Figure 6). This was similar to the 2005 proportion of 97.5%. On the six serotypes where phage typing was typically performed—Bovismorbificans, Enteritidis, Hadar, Heidelberg, Typhimurium and Virchow—were all greater than 95% complete (Table 11). The Australian Capital Territory reported complete serotype and phage type information for all Salmonella notifications during 2006.
Figure 6. Proportion of Salmonella infections notified to state and territory health departments with serotype and phage type information available, Australia, 2001 to 2006
Table 11. Proportion of Salmonella infections notified to state and territory health departments with phage type information available for six serotypes, Australia, 2001 to 2006
2001 | 2002 | 2003 | 2004 | 2005 | 2006 | |
---|---|---|---|---|---|---|
S. Bovismorbificans | 87.5 |
96.3 |
94.6 |
94.1 |
94.7 |
95.7 |
S. Enteritidis | 91.2 |
95.3 |
97.1 |
94.5 |
96.9 |
96.4 |
S. Hadar | 77.4 |
90.9 |
97.1 |
89.7 |
92.0 |
100.0 |
S. Heidelberg | 88.6 |
92.6 |
92.7 |
94.6 |
88.4 |
95.0 |
S. Typhimurium | 96.9 |
97.9 |
98.8 |
98.8 |
98.7 |
98.1 |
S. Virchow | 92.5 |
97.6 |
98.3 |
97.1 |
96.6 |
98.4 |
Discussion
This report summarises the rates of gastrointestinal diseases commonly transmitted by foods in Australia. Notification rates have remained stable in recent years, however the incidence was high compared to other countries.21 The occurrence of campylobacteriosis has been consistently high in Australia and New Zealand compared with other developed countries for over a decade. This is despite identification of the main risk factors for infection.21,22,23 Campylobacteriosis is responsible for a large burden of illness, but public health agencies are unable to recognise outbreaks due to the lack of a robust typing scheme.24 In 2006, OzFoodNet sites identified four outbreaks of campylobacteriosis affecting 67 people compared with 15,492 notifications of this illness. There is a need to establish targets for the reduction of the incidence of campylobacteriosis in Australia as have been set in other countries, to assist governments and industry to make changes that will prevent illness.25
In 2006, there was an increase in the number of outbreaks relating to eggs and fresh produce. Sixteen outbreaks were associated with eggs or egg-based dishes, compared with five outbreaks in 2005. Eighty-one per cent (13/16) of these outbreaks were due to various phage types of S. Typhimurium. Investigations into outbreaks associated with eggs are challenging, as traceback of eggs to their source and to identify the origin of contamination can be difficult. OzFoodNet epidemiologists worked closely with primary production departments and food safety agencies in these outbreaks to ensure a complete traceback of eggs where possible. Food Standards Australia New Zealand has established a committee to develop a national primary production and processing standard for eggs, which, in the long term should reduce the number of outbreaks associated with eggs and egg products.26
There were four outbreaks associated with fresh produce in 2006, compared to one outbreak due to fresh produce in 2005. These four outbreaks, including two multi-state outbreaks, highlight the role of fresh fruits and vegetables in causing foodborne disease outbreaks. Although the implicated produce was traced back to farms in two of the outbreaks, the exact source of contamination was difficult to identify. Investigations of the farms producing rockmelons and paw paws revealed multiple Salmonella serotypes from a wide range of environmental samples; in particular, the water used to wash the produce during processing was contaminated with multiple Salmonella serotypes. This finding highlights a critical point of contamination. Since 2001, there have been 25 outbreaks associated with fresh produce in Australia.27 The recent increase in produce-related outbreaks in Australia has also been seen in other developed countries. In particular, the USA reported several large outbreaks associated with the consumption of spinach,28 lettuce,29 and tomatoes30 in 2006. There is a need for appropriate health messages for the public consuming potentially contaminated fresh produce as well as appropriate interventions to prevent contamination at the farm level.
In 2006, there were two outbreaks related to imported foods. One outbreak was associated with whitebait from Indonesia. The second outbreak was associated with sodium nitrite ('nutre powder') from China; sold in Chinese grocery stores as a flavour enhancer.19 From 2001 to 2006, there have been 13 outbreaks associated with imported foods in Australia.31 These two imported food outbreaks highlight the need to maintain communication with countries that provide Australia with food or items used in food. The outbreak of methaemoglobinemia due to sodium nitrite was the first of its kind in Australia. Unintentional consumption of sodium nitrite has been the cause of outbreaks in other countries.32,33
In 2006, there were four outbreaks associated with sushi. These outbreaks are assumed to be due to inadequate refrigeration/storage.34 While there are few published reports of gastrointestinal outbreaks associated with sushi, there are many potential avenues for contamination including improper storage of cooked rice and the use of high risk ingredients such as raw-egg mayonnaise.35
In 2006, more than 97% of Salmonella notifications contained complete information about serotype and/or phage type. The ability to type strains of Salmonella was essential for identifying and investigating outbreaks. The principal methods of differentiating Salmonella strains are serotyping and phage typing. Serotyping in Australia is conducted by public health reference laboratories in Queensland, New South Wales, Victoria, South Australia, and Western Australia. Tasmania, the Australian Capital Territory, and the Northern Territory forward their Salmonella isolates to South Australia or Victoria for serotyping and/or phage typing. Phage typing is conducted by the Microbiological Diagnostic Unit, Public Health Laboratory at the University of Melbourne in Victoria and the Institute of Medical and Veterinary Sciences in South Australia. During 2006, some jurisdictions used other methods to assist in locally differentiating Salmonella including multiple-locus variable-number tandem-repeats analysis and pulsed-field gel electrophoresis. Changes to Salmonella typing schemes need to be monitored to ensure that they enhance the ability to identify outbreaks and trends in the incidence of infection.
In 2006, all jurisdictions contributed to a fortnightly national report, which identified clusters of foodborne illness occurring across state and territory boundaries. This report was useful for identifying common events affecting different parts of Australia. This supplemented information sharing on a closed list server, teleconferences and at quarterly face-to-face meetings. In addition, OzFoodNet made greater use of web-based databases during the management of outbreaks, in particular the multi-state outbreaks, which greatly improved the timeliness and quality of these investigations.
In 2006, OzFoodNet sites reported 1,544 outbreaks, which was the largest number reported since surveillance began in 2000. The majority of these outbreaks were due to person-to-person transmission of highly infectious norovirus. While some settings, such as aged care homes and hospitals, show up more frequently in these investigations, outbreaks are easier to recognise, and therefore, report, where people live in close quarters. Better strategies are required to control norovirus.36
OzFoodNet reported a rate of 5.6 foodborne disease outbreaks per million population in 2006. This compares with rates of outbreak reporting in other developed countries. New Zealand reported a rate of 35 foodborne outbreaks per million population for 2006.37 Published data on foodborne outbreak rates is available from 2004 for Germany (15 outbreaks per million population)38 and from 2005 for the USA (estimated rate, 3.3 outbreaks per million population).39,40 Direct comparisons of these rates are difficult due to the many differences in the surveillance of and reporting of outbreaks in each of these countries.
It is important to recognise some of the limitations of the data used in this report. Limitations of NNDSS surveillance data include differences in the likelihood that certain population groups will have laboratory tests and different testing regimes. This may explain part of the difference in the rates of laboratory-confirmed disease between jurisdictions and over time. Small numbers of notifications also mean that caution is required in the interpretation of differences between jurisdictions and over time. Importantly, some of the most common enteric pathogens are not notifiable, particularly norovirus, Clostridium perfringens and enteropathogenic E. coli. These organisms may be notified as the cause of outbreaks, but not as individual cases of disease. A limitation of the outbreak data provided by OzFoodNet sites for this report is the potential for variation in categorising features of outbreaks depending on investigator interpretation and circumstances. States and territories are working towards harmonising surveillance and outbreak data to address some of these issues.
Foodborne disease surveillance provides information to assist in the assessment of food safety policies and campaigns. A national program of surveillance for foodborne diseases and outbreak investigation has many benefits including identifying foods that cause human illness. Ongoing efforts to strengthen the quality of these data will ensure continued use by agencies to develop food safety policy and prevent foodborne illness.
Acknowledgements
We would like to thank the many epidemiologists, project officers, interviewers and research assistants at each of the OzFoodNet sites who contributed to this report. We also acknowledge the work of various public health professionals and laboratory staff around Australia who interviewed patients, tested specimens, typed isolates and investigated outbreaks. We would particularly like to thank jurisdictional laboratories, the Microbiological Diagnostic Unit Public Health Laboratory, the Institute of Medical and Veterinary Science, and the National Enteric Pathogen Surveillance Scheme for their help with foodborne disease surveillance in 2006. The quality of their work was the foundation of this report. OzFoodNet is an initiative of the Australian Government.
In 2006, the OzFoodNet Working Group was (in alphabetical order): Kylie Begg (ACT), Robert Bell (Qld), Phillipa Binns (NT), Andrew Black (ACT), Caron Bowen (NSW), Barry Combs (SA), Craig Dalton (HNE Health), Emily Davis (DoHA), Gerard Fitzsimmons (DoHA), Kathleen Fullerton (DoHA), Robyn Gibbs (WA), Joy Gregory (Vic), Gillian Hall (NCEPH), Michelle Harlock (NT), Geoff Hogg (MDU), Martyn Kirk (DoHA), Fiona Kong (DoHA), Karin Lalor (Vic), Beth Lord (WA), Deon Mahoney (FSANZ), Tony Merritt (HNE Health), Sally Munnoch (HNE Health), Jennie Musto (NSW), Lillian Mwanri (SA), Rhonda Owen (DoHA), Chris Oxenford (ACT), Raj Patil (DAFF), Nancy Pedersen (DAFF), Nevada Pingault (WA), Jane Raupach (SA), Mark Salter (FSANZ), Mohinder Sarna (WA), Cameron Sault (Tas), Craig Shadbolt (NSWFA), Russell Stafford (Qld), Nicola Stephens (Tas), Chris Sturrock (FSANZ, NCEPH), Barbara Telfer (NSW), Hassan Vally (NCEPH, WA), Kate Ward (NSW), Tory Worgan (HNE Health), Kefle Yohannes (DoHA).
Appendix. Foodborne Outbreak Summary for OzFoodNet sites, Australia, 2006
State |
Month of outbreak |
Setting prepared |
Aetiology |
Number affected | Hospitalised | Evidence | Epidemiological study | Responsible vehicle |
---|---|---|---|---|---|---|---|---|
Australian Capital Territory | February | Bakery | Unknown | 10 |
0 |
D |
D |
Cake |
November | Primary produce | Salmonella Typhimurium 44 | 4 |
1 |
D |
D |
Free range eggs | |
December | Primary produce | Salmonella Typhimurium 170 | 13 |
0 |
M |
D |
Free range eggs | |
New South Wales | January | Camp | Salmonella Typhimurium 170 | 3 |
1 |
D |
D |
Suspect chicken/beef hamburger cross-contaminated with eggs |
January | Restaurant | Unknown | 13 |
0 |
D |
D |
Buffet meal | |
January | Restaurant | Unknown | 19 |
1 |
D |
N |
Unknown | |
February | Restaurant | Scombroid | 2 |
1 |
D |
N |
Tuna steaks | |
February | Takeaway | Unknown | 3 |
0 |
D |
D |
Chicken schnitzel in gravy | |
March | Restaurant | Salmonella Typhimurium 170 var | 2 |
2 |
D |
D |
Suspect pork dish or fried ice cream | |
March | Restaurant | Unknown | 2 |
0 |
D |
D |
Unknown | |
March | Takeaway | Salmonella Montevideo | 3 |
2 |
M |
D |
Plain hamburger cross-contaminated with eggs | |
March | Restaurant | Unknown | 22 |
0 |
D |
C |
Unknown | |
April | Restaurant | Norovirus | 15 |
0 |
D |
C |
Unknown | |
May | Restaurant | Unknown | 7 |
2 |
D |
C |
Unknown | |
May | Commercial caterer | Clostridium perfringens | 70 |
0 |
M |
D |
Chicken curry | |
June | Commercially manufactured | Salmonella Typhimurium 170 | 2 |
0 |
D |
D |
Unknown | |
June | Other | Unknown | 3 |
0 |
D |
D |
Suspect potato salad | |
June | Private residence | Unknown | 4 |
0 |
D |
D |
Suspect Nile perch | |
June | Private residence | Unknown | 6 |
0 |
D |
C |
Suspect oysters | |
June | Restaurant | Unknown | 8 |
0 |
D |
D |
Unknown | |
June | Private residence | Unknown | 21 |
0 |
A |
C |
Cake | |
July | Takeaway | Salmonella Typhimurium 135A | 2 |
1 |
D |
D |
Suspected eggs | |
July | Restaurant | Unknown | 2 |
0 |
D |
D |
Unknown | |
July | Child care centre | Salmonella Potsdam | 4 |
0 |
D |
D |
Suspect pikelets made from whole eggs | |
July | Takeaway | Salmonella Typhimurium 170 | 4 |
2 |
D |
D |
Suspect beef/chicken burgers with eggs | |
July | Takeaway | Salmonella Typhimurium 170 | 4 |
3 |
M |
D |
Eggs | |
July | Restaurant | Unknown | 4 |
1 |
D |
N |
Buffet meal | |
July | Restaurant | Unknown | 5 |
0 |
D |
D |
Unknown | |
July | Commercial caterer | Unknown | 5 |
0 |
D |
N |
Unknown | |
September | Commercially manufactured | Salmonella Typhimurium 170 | 2 |
0 |
D |
D |
Suspect dips | |
September | Restaurant | Unknown | 2 |
0 |
D |
C |
Chicken pizza | |
September | Takeaway | Unknown | 4 |
0 |
D |
D |
Unknown | |
September | Restaurant | Unknown | 5 |
0 |
D |
D |
Unknown | |
September | Private residence | Sodium nitrite | 6 |
6 |
M |
N |
Nutre powder | |
September | Restaurant | Unknown | 7 |
0 |
D |
N |
Pasta or pizza | |
October | Restaurant | Scombroid | 6 |
6 |
D |
D |
Yellowtail kingfish fillets | |
October | Commercially manufactured | Salmonella Typhimurium 170 | 6 |
0 |
D |
D |
tuna and salmon sushi rolls | |
November | Aged care facility | Campylobacter jejuni | 3 |
3 |
AM |
C |
Undercooked chicken | |
November | Private residence | Vibrio cholerae | 3 |
2 |
D |
D |
Whitebait | |
November | Restaurant | Unknown | 7 |
0 |
D |
N |
Unknown | |
November | Commercial caterer | Bacillus cereus | 14 |
0 |
AM |
C |
Cooked chicken | |
November | Restaurant | Unknown | 15 |
0 |
D |
D |
Sandwiches | |
November | Institution | Salmonella Typhimurium 170 | 47 |
32 |
AM |
CCS |
White chocolate mousse | |
December | Restaurant | Unknown | 5 |
0 |
A |
CCS |
Unknown | |
December | Restaurant | Unknown | 24 |
0 |
D |
D |
Banquet meal | |
December | Commercial caterer | Unknown | 25 |
0 |
D |
C |
Unknown | |
December | Takeaway | Clostridium perfringens | 80 |
0 |
AM |
CCS |
Roast pork | |
Northern Territory | January | Restaurant | Hepatitis A | 10 |
1 |
D |
D |
Unknown |
May | Private residence | Salmonella Oslo | 2 |
0 |
D |
D |
Suspected sticky rice balls with chicken | |
September | Primary produce | Ciguatera fish poisoning | 14 |
4 |
D |
D |
Slate sweetlips fish | |
Queensland | January | National franchised fast food | Unknown | 24 |
0 |
D |
C |
Unknown |
February | Primary produce | Ciguatera fish poisoning | 2 |
0 |
D |
D |
Cod | |
February | Private residence | Scombroid | 2 |
0 |
D |
D |
Blue fin tuna steaks | |
February | Camp | Norovirus | 66 |
2 |
D |
D |
Unknown | |
March | Primary produce | Ciguatera fish poisoning | 2 |
0 |
D |
D |
Trevally fish | |
March | Primary produce | Ciguatera fish poisoning | 4 |
4 |
D |
D |
Spanish mackerel | |
March | Restaurant | Unknown | 8 |
0 |
D |
C |
Unknown | |
March | Restaurant | Norovirus | 15 |
1 |
D |
C |
Unknown | |
April | Restaurant | Salmonella Singapore | 2 |
1 |
D |
D |
Chow mein | |
April | Takeaway | Staphylococcus aureus | 3 |
0 |
D |
D |
Sushi roll | |
April | Commercial caterer | Unknown | 6 |
3 |
D |
D |
Unknown | |
April | Private residence | Salmonella Typhimurium 135a | 11 |
5 |
D |
D |
Unknown | |
May | Restaurant | Unknown | 2 |
0 |
D |
N |
Chicken teriyaki sushi roll (nori roll) | |
June | Restaurant | Salmonella Zanzibar | 3 |
1 |
D |
D |
Unknown | |
July | Primary produce | Ciguatera fish poisoning | 2 |
0 |
D |
D |
Spanish mackerel | |
July | Takeaway | Unknown | 4 |
0 |
D |
D |
Suspected beef/lamb kebab | |
July | Restaurant | Unknown | 6 |
0 |
D |
C |
Unknown | |
July | Restaurant | Clostridium perfringens | 13 |
0 |
M |
C |
Chicken & lamb guvec | |
August | Restaurant | Salmonella Typhimurium 135 | 6 |
1 |
D |
D |
Suspected chicken teriyaki sushi rolls | |
September | Restaurant | Clostridium perfringens | 6 |
0 |
D |
D |
Lamb korma | |
September | Private residence | Salmonella Typhimurium 8 | 7 |
1 |
D |
D |
Unknown | |
October | Primary produce | Ciguatera fish poisoning | 4 |
0 |
D |
D |
Black kingfish | |
November | Camp | Campylobacter jejuni | 46 |
0 |
A |
C |
On-site water tank | |
December | Restaurant | Salmonella Bareilly | 4 |
0 |
D |
D |
Unknown | |
December | Restaurant | Salmonella Typhimurium 197 | 7 |
3 |
D |
D |
Unknown | |
December | Restaurant | Unknown | 9 |
0 |
D |
C |
Unknown | |
December | Restaurant | Salmonella Typhimurium 197 | 17 |
0 |
D |
C |
Unknown | |
December | Other | Norovirus | 122 |
1 |
A |
C |
Unknown | |
South Australia | January | Private residence | Salmonella Typhimurium 108 | 7 |
0 |
M |
D |
Homemade ice cream and ice cream topping |
February | Private residence | Salmonella Typhimurium 135 | 4 |
0 |
M |
D |
Silverside | |
February | Restaurant | Salmonella Anatum | 5 |
0 |
D |
D |
Beef burger with bacon and egg | |
May | Other | Salmonella Typhimurium 108 | 23 |
7 |
AM |
CCS |
Ravioli | |
June | Restaurant | Salmonella Typhimuirum 9 | 6 |
0 |
A |
C |
Sweet potato and feta cheese salad | |
December | Commercial caterer | Campylobacter | 5 |
0 |
A |
C |
Chicken dish | |
December | Bakery | Salmonella Typhimurium 9 | 15 |
1 |
AM |
CCS |
Egg through a bakery product | |
Tasmania | January | Private residence | Salmonella Typhimurium 44 and U302 | 9 |
2 |
D |
C |
Unknown |
Victoria | January | Private residence | Salmonella Typhimurium 44 | 4 |
4 |
M |
D |
Milkshake containing raw egg |
January | Aged care facility | Unknown | 5 |
0 |
D |
D |
Unknown | |
January | Restaurant | Norovirus | 9 |
0 |
D |
D |
Unknown | |
January | Restaurant | Norovirus | 15 |
0 |
D |
C |
Unknown | |
February | Restaurant | Scombroid | 2 |
0 |
M |
D |
Kingfish | |
February | Commercial caterer | Norovirus | 41 |
0 |
D |
C |
Unknown | |
March | Unknown | Salmonella London | 5 |
0 |
M |
D |
Salami (non commercial) | |
March | Restaurant | Salmonella Saintpaul | 11 |
1 |
M |
D |
Suspected bean shoots | |
May | Commercial caterer | Suspected Clostridium perfringens | 10 |
0 |
D |
D |
Unknown | |
May | Primary produce | Salmonella Oranienburg | 15 |
2 |
M |
D |
Alfalfa | |
June | Aged care facility | Unknown | 5 |
0 |
D |
D |
Unknown | |
August | Commercial caterer | Unknown | 7 |
0 |
D |
C |
Sandwiches | |
August | Aged care facility | Campylobacter | 13 |
1 |
D |
D |
Unknown | |
September | Commercial caterer | Unknown | 19 |
0 |
D |
C |
Unknown | |
October | Restaurant | Norovirus | 15 |
0 |
D |
C |
Unknown | |
November | Primary produce | Ciguatera fish poisoning | 2 |
0 |
D |
D |
Coral perch or coral trout | |
November | Private residence | Salmonella Typhimurium 44 | 10 |
1 |
A |
D |
Hazelnut gateau cake made with raw egg mousse filling | |
November | Restaurant | Norovirus | 13 |
0 |
D |
C |
Unknown | |
November | Restaurant | Norovirus | 29 |
0 |
D |
C |
Unknown | |
December | Aged care facility | Clostridium perfringens | 20 |
0 |
D |
D |
Unknown | |
December | Community | Salmonella Typhimurium 44 | 43 |
9 |
D |
D |
Suspected eggs | |
Western Australia | June | Restaurant | Salmonella Anatum | 6 |
1 |
D |
D |
Takeaway sandwiches and rolls |
September | Restaurant | Salmonella Kiambu | 3 |
1 |
D |
D |
Unknown | |
September | Restaurant | Salmonella Kiambu | 35 |
2 |
D |
C |
Unknown | |
October | Other | Unknown | 19 |
0 |
D |
C |
Unknown | |
November | Other | Norovirus | 29 |
0 |
A |
C |
Salad | |
Multi-state | May | Commercially manufactured | Salmonella Bovismorbificans 11 | 15 |
4 |
M |
D |
Capocollo |
October | Primary produce | Salmonella Saintpaul | 79 |
12 |
A |
CCS |
Rockmelon | |
November | Primary produce | Salmonella Litchfield | 17 |
4 |
AM |
CCS |
Paw paw |
Author details
Correspondence: Mr Gerard Fitzsimmons, Epidemiologist, OzFoodNet, Office of Health Protection, Australian Government Department of Health and Ageing, GPO Box 9848, MDP 14, CANBERRA ACT 2601. Telephone: +61 2 6289 2748. Facsimile: +61 2 6289 2600. Email: Gerard.fitzsimmons@health.gov.au
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This issue - Vol 31 No 4, December 2007
Communicable Diseases Intelligence