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Vol. 11, No. 3
March 2005

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Temperature Data
Methods
Cities and Towns Included in Figure 2
Factors Linked to Campylobacter Infection
Appendix References
Appendix Figure
Appendix Table
Download PDF
(download pdf 71 KB, 6 pages)
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Perspective

Fly Transmission of Campylobacter

Gordon L. Nichols*Comments
*Health Protection Agency, London, United Kingdom


Appendix. Supplementary Information

Temperature Data

Appendix Figure
Appendix Figure.

Click to view enlarged image

Appendix Figure. Temperature station locations.

Temperature data were acquired from the British Atmospheric Data Centre (BADC), the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences based at the Rutherford Appleton Laboratory in Oxfordshire, part of the Central Laboratory of the Research Councils. Data are available on-line through a World Wide Web interface (http://badc.nerc.ac.uk) by prearranged agreement. Data were collated for the period 1989–1999, with 5 locations selected for each region to provide overall coverage of the region (except London, which had only 2 centers with data available for the given time period). Location of temperature stations is shown in the Figure.

There were a total of 47 sites. Some of the data series were missing data points. The maximum, minimum, and average temperatures were determined for all days between January 1, 1989, and December 31, 1999. Maximum temperatures across all sites were used to calculate the presumptive minimum Musca domestica larval development times.

Methods

The data represent patients who had fecal specimens examined by a microbiology laboratory in England and Wales between 1989 and 2003 where Campylobacter was isolated from the sample. Data were acquired through well-described surveillance processes, and analysis was conducted in Microsoft Access and Excel (Microsoft Corp., Redmond, WA, USA). Daily cases were based on the patient specimen date, and a 7-day rolling mean was used to eliminate the weekly cycles that reflect reduced patient sampling on weekends.

Hypothesis generation was performed through a systematic review of known and suggested causes of Campylobacter infection, particularly reflecting on changes in these risks over the period of May and June and assessing their credibility as biological drivers for the observed seasonality.

Cities and Towns Included in Figure 2

S1, London; S2, Birmingham; S3, Bristol; S4, Nottingham; S5, Sheffield; S6, Manchester; S7, Leeds; S8, Leicester; S9, Reading; S10, Plymouth; S11, Portsmouth; S12, Colchester; S13, Bradford; S14, Southampton; S15, Poole; S16, Preston; S17, Cardiff; S18, Chelmsford; S19, Norwich; S20, Ipswich; S21, Truro; S22, Oxford; S23, Shrewsbury; S24, Dudley; S25, Taunton; S26, Newport; S27, Cambridge; S28, Newcastle; S29, Chester; S30, Gloucester; S31, Swindon; S32, Chertsey; S33, Coventry; S34, Welwyn; S35, Frimley Park; S36, High Wycombe; S37, Slough; S38, Exeter; S39, Swansea; S40, Luton; S41, Torquay; S42, Derby; S43, York; S44, Worcester; S45, Northampton; S46, Bishops Stortford; S47, Hull; S48, Basildon; S49, Stoke-on-Trent; S50, Worthing; S51, Stafford; S52, Harrogate; S53, Hereford; S54, Halifax; S55, Sunderland; S56, Chesterfield and N Derbyshire; S57, Lincoln; S58, Ashford Kent; S59, Stockport; S60, Blackpool; S61, Maidstone; S62, Liverpool; S63, Bangor; S64, Llandough; S65, Lancaster; S66, Sutton Coldfield; S67, Aylesbury; S68, Grimsby; S69, Doncaster; S70, Peterborough; S71, Brighton; S72, Gateshead; S73, Kettering; S74, Southend; S75, Rhyl; S76, Cheltenham; S77, Epsom; S78, Chichester; S79, Carlisle; S80, Milton Keynes; S81, Dorchester; S82, Durham; S83, Bury; S84, Great Yarmouth; S85, Bury St Edmunds; S86, Warwick; S87, Salisbury; S88, Wolverhampton; S89, Scarborough; S90, Pontefract; S91, Bath; S92, Winchester; S93, Bishop Auckland; S94, Watford; S95, Bolton; S96, Eastbourne; S97, Oldham; S98, North Shields; S99, Burnley; S100, Ashford Middlesex; S101, Kings Lynn; S102, Warrington; S103, Wakefield; S104, Keighley; S105, Crawley; S106, Barnstaple; S107, Abergavenney; S108, Boston; S109, Nuneaton; S110, Northallerton; S111, Wrexham; S112, Macclesfield; S113, Darlington; S114, Bedford; S115, Basingstoke; S116, Weston Supermare; S117, Middlesborough; S118, Dewsbury; S119, Sutton-in-Ashfield; S120, Rochdale; S121, Guildford; S122, Worksop; S123, Wigan; S124, Stevenage; S125, Bridgend; S126, Rotherham; S127, West Bromwich; S128, Solihull; S129, Burton-upon-Trent; S130, Haverford West; S131, Carmarthen; S132, Hemel Hempstead; S133, Stockton-on-Tees; S134, Huddersfield; S135, South Shields; S136, Barnsley; S137, Whitehaven; S138, Chatham; S139, Blackburn; S140, Redditch; S141, St Leonards-on-Sea; S142, Grantham and Kesteven; S143, Ormskirk; S144, Scunthorpe; S145, Canterbury; S146, Kidderminster; S147, Dartford; S148, Aberystwyth; S149, Hexham; S150, Barrow-in Furness; S151, Redhill; S152, Margate; S153, Walsall; S154, Ashington; S155, Salford; S156, Merthyr Tydfil; S157, Stourbridge; S158, Haywards Heath; S159, Banbury; S160, Hartlepool; S161, Prescot; S162, Otley; S163, Southport; S164, Yeovil; S165, Llanelli. The number of reported Campylobacter cases per city and town were based on reports from all laboratories serving the area and are ordered from highest (S1) to lowest (S165) case numbers. Results from towns reporting smaller numbers of cases were excluded from the analysis.

Factors Linked to Campylobacter Infection

The Appendix Table (download pdf 71 KB, 6 pages) provides evidence for seasonal associations between factors linked to human Campylobacter infections or outbreaks.

Appendix Table. Evidence for seasonal associations between factors linked to human Campylobacter infections or outbreaks


Risk factor

Outbreaks

Evidence for factor causing seasonal increase

Evidence against factor causing seasonal increase


Chicken/turkey

(1–7)

Chicken is the food most commonly contaminated with Campylobacter. A substantial portion of infection probably derives from this source (1–6,8–10). Some evidence shows that Campylobacter contamination of chickens is seasonal.

Chicken is not the vehicle for most sporadic Campylobacter infections (8,11,12). Little evidence exists that the seasonal differences in Campylobacter in chickens are sufficient to drive the seasonality of human disease (13–18).

Salads and fruit

(19–21)

Untreated leaf salads and soft fruits might be potential sources of human campylobacteriosis (9,19–21) because these raw products are eaten without any heat treatment.

In most of the outbreaks involving salad items, cross-contamination from contaminated raw foods was thought to be involved. While seasonal import of fresh fruit or vegetables from different countries might represent a potential source of infection it would be surprising if this manifested itself as an annual nationwide outbreak across the whole of England and Wales while remaining refractory to epidemiologic investigation. Fly transmission from animal feces may be important.

Cross-contamination from raw meats to ready-to-eat foods

(9)

Cross-contamination from raw meats to ready to eat foods within kitchens and retail premises probably contributes significantly to Campylobacter infection.

Why cross-contamination should be strongly influenced by the season is unclear, unless levels of raw meat contamination change with the seasons.

Unpasteurized or inadequately pasteurized milk

(6,22–33)

Unpasteurized or badly pasteurized milk can be a source of Campylobacter infection (6,23,26,29,33–36). Milk could cause the seasonality if the numbers of Campylobacter in raw milk changed with the season and other critical control points in milk production (pasteurization) are not tightly maintained. Infections related to consumption of unpasteurized milk appear to be seasonal, with a peak in May, which suggests seasonal changes in the Campylobacter contamination of unpasteurized milk.

No evidence shows that the seasonality of human disease is largely due to unpasteurized milk because this product is not commonly consumed. No evidence shows that pasteurization varies substantially by season.

Birds

(37,38)

Campylobacter is common in birds. Migratory birds result in large seasonal changes in the inputs to the environment from bird feces and could contribute to human Campylobacter exposure (39). Migratory birds could be a seasonally changing driver to human disease (40). The main likely exposure route if this were the case would be direct contact with contaminated bird feces in the garden, contamination of field-grown fruit and vegetables and contamination of source waters for drinking. Bird-pecked milk is a recognized route by which Campylobacter infection can be acquired (37,38). The contamination is thought to result from birds feeding consecutively on cow feces and milk in bottles. The infections related to bird-pecked milk appear to be seasonal in distribution with a marked increase in May (41).

Bird-pecked milk is unlikely to be the cause of the worldwide seasonal distribution of Campylobacter infections. Fly transmission from bird feces, particularly farmed poultry, may be important. Evidence from extensive monitoring of ready-to-eat foods sampled at retail businesses suggests little evidence of Campylobacter contamination (Little, pers. comm.).

Barbecue

(1)

Barbecue use might be a contributing factor to the total Campylobacter infection because standards of food safety associated with barbecue use are likely to be poorer (1,42,43). Case-control studies have found associations between barbecue use and sporadic Campylobacter infection (44,45).

Barbecue use on its own is unlikely a big enough, or seasonal enough, driver of disease to account for seasonal changes in incidence.

Food packaging

 

The packaging around chickens is commonly contaminated with Campylobacter, which may represent a source of some infections through cross-contamination.

Strong seasonal changes in the extent of this contamination would have to exist for this factor to affect the disease epidemiology, and no evidence for these changes exists.

Food handlers/hygiene

(46–50)

Infected food handlers might represent a source of infection in catering premises.

Infections in food handlers probably are seasonal, reflecting the seasonality of Campylobacter in general, but they are probably not the driver for the overall seasonality.

Food, stir-fried

(2)

Stir-fried food may be contaminated through inadequately cooking raw ingredients or cross-contamination.

A seasonal change in the contamination of raw ingredients would need to exist to explain the epidemiology.

Flies

 

Flies provide a biological explanation for the spring increase in Campylobacter cases through the increase in fly numbers. Campylobacter has been isolated from flies, and the low infectious dose required to cause human disease would make this route credible. Historical records link “summer diarrhea” to flies.

Little hard evidence exists for this transmission route.

Mains drinking water

(28,51–60)

 

With mains water supplies, the relatively even distribution of seasonal changes in the distribution of Campylobacter cases suggests that any contamination of public supplies must be systemic (a generic problem with all supplies) or a much bigger regional difference in the incidence would be seen. Potential seasonal differences in water quality that could explain why treatment might not prevent sporadic Campylobacter infection through mains water (e.g., viable noncultivable Campylobacter in chlorine-resistant protozoa) are not supported by evidence. The rarity of outbreaks associated with public water supplies suggests that drinking water is not a substantial source of Campylobacter infection.

Private drinking water supplies/untreated surface water, rain water, or well water

(6,59;61–70)

Waterborne infection associated with private water supplies can result in outbreaks of infection because many people drink the contaminated water (71). Campylobacter is the most common organism causing these outbreaks. A seasonal change in water quality could occur.

Seasonal changes in water contamination should trigger outbreaks rather than a national increase in sporadic disease. The comparative rarity of outbreaks associated with private supplies suggests that this source does not substantially contribute to the total illness that is seen to change dramatically with the season. Given the influence of surface water on the microbiologic quality of private water supplies, we expect that the seasonal occurrence of Campylobacter might be more influenced by rainfall than time of year, which does not appear to happen.

Bottled water

 

In a case-case study of Campylobacter, people with C. coli infection were more likely to have drunk bottled water than were those with C. jejuni infection (72). Natural mineral water is not disinfected and could be a widely dispersed product that experiences seasonal changes in contamination.

Sources of water that are used to produce natural mineral water and other bottled waters are relatively well protected. These groundwaters are unlikely to be contaminated with Campylobacter. If bottled water consumption is a risk factor, it should come up as such in analytic epidemiologic studies of Campylobacter infection. It is unclear why the seasonal pattern of infection should be so constant both geographically and annually if bottled water contamination is such a substantial contributor to human disease.

Pools, lakes, and streams

 

Potential exists for illness after swallowing contaminated recreational water (73–76). Water sports in natural waters can be a source of exposure. If the contamination of water with Campylobacter is seasonal, then any seasonality in this group could be linked to either changes in water quality or behavior.

Illness associated with recreational water activity has not been established, and this is unlikely to be the source of the spring increase in campylobacteriosis. Little evidence shows that the change in recreational water activity in the spring is enough to explain the seasonal change in Campylobacter cases.

Within-family transmission

(77)

Person-to-person transmission can occur.

No obvious reason explains why within-household transmission of Campylobacter should be seasonal, given that personal hygiene practices are not likely to change substantially over a matter of weeks.

Domestic catering

 

Domestic food preparation may contribute to human Campylobacter disease.

Fly transmission within kitchens may contribute to transmission, and this would likely be seasonal. Little else within the kitchen environment, other than the contamination of raw food ingredients, is likely to vary seasonally.

Nursery/childcare/school

(78,79)

As Campylobacter is common in children, transmission may occur within the childcare setting.

No evidence shows that infections in childcare are common or that they vary through the year.

Nosocomial transmission

(80)

Nosocomial transmission cannot account for the national seasonal increase in cases.

Pets

 

Pets, particularly kittens and puppies, have been postulated as a source of Campylobacter. Canine births, as recorded in Kennel Club and Guide Dogs for the Blind Association records, show a strong seasonal distribution, and this factor has been proposed as a driver for human disease (81).

Little evidence shows that the seasonal change in Campylobacter is directly related to pets, although fly transmission from animal feces may be important.

Farm animals

(82)

Campylobacter strains isolated from cattle have been linked to strains from human infections (83,84). Cattle and sheep represent a reservoir of Campylobacter (85,86), and milkborne outbreaks (6,23,26,29,33–36) suggest that other routes may occur. Fecal shedding by sheep may be more frequent around lambing (87). Seasonal differences in Campylobacter infections have also been demonstrated in rhesus monkeys, other agricultural animals, and birds (15,16,88–91).

Any seasonality of Campylobacter infection or colonization in animals could cause seasonality in humans, but this seasonality is most likely to result from the contamination of food. Fly transmission from animal feces may be important.

Farm visits

(92)

Visits to farms can expose children to common zoonotic enteric pathogens, including Campylobacter.

Any seasonality of farm visits is unlikely to contribute to the seasonal distribution of all cases.

The countryside

 

Direct environmental exposure could occur through walking in the country.

This activity may be seasonal but is unlikely to contribute to the strong seasonal distribution of cases.

Travel

 

Campylobacter has been linked to overseas travel (93–95), including military service (96,97), and probably represents a significant percentage of all cases of travelers' diarrhea (98–101). In some countries, >50% of Campylobacter cases may be linked to foreign travel (102)

The seasonality of Campylobacter does not follow the seasonality of travel abroad.

Weather/climate

 

In some developing countries a higher incidence was seen in the rainy season (103,104), which suggests flies might be contributory. Although Campylobacter is more common during the summer months and has been linked to temperature (105), no direct relationship was seen between temperature and cases of human disease. The different seasonal distribution in different countries appears to be partly temperature-related

Little evidence shows that Campylobacter is associated with rainfall. There was no association between thermophilic Campylobacter in lambs at slaughter and rainfall (89). The main seasonal driver for Campylobacter infection is not likely to be rainfall itself, since the increase appears to occur annually, irrespective of when most rain falls.

Immunologic response

 

The immunologic response to Campylobacter exposure could change throughout the year. This hypothesis has been studied in male rhesus monkeys (88). A marked seasonality was seen ,with the frequency of TH1-type cytokine synthesis in the summer being markedly greater than in the winter, whereas TH2-type cytokine expression did not vary between the seasons.

Current evidence suggests that seasonal changes in immunologic response to Campylobacter infection are unlikely to account for the major seasonal changes in Campylobacter incidence.


Download Appendix Table (download pdf 71 KB, 6 pages).

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