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Abstract

Background

Campylobacteriosis is the most commonly reported food-borne infection in the European Union, with an annual number of cases estimated at around 9 million. In many countries, campylobacteriosis has a striking seasonal peak during early/mid-summer. In the early 2000s, several publications reported on campylobacteriosis seasonality across Europe and associations with temperature and precipitation. Subsequently, many European countries have introduced new measures against this food-borne disease.

Aim

To examine how the seasonality of campylobacteriosis varied across Europe from 2008–16, to explore associations with temperature and precipitation, and to compare these results with previous studies. We also sought to assess the utility of the European Surveillance System TESSy for cross-European seasonal analysis of campylobacteriosis.

Methods

Ward’s Minimum Variance Clustering was used to group countries with similar seasonal patterns of campylobacteriosis. A two-stage multivariate meta-analysis methodology was used to explore associations with temperature and precipitation.

Results

Nordic countries had a pronounced seasonal campylobacteriosis peak in mid- to late summer (weeks 29–32), while most other European countries had a less pronounced peak earlier in the year. The United Kingdom, Ireland, Hungary and Slovakia had a slightly earlier peak (week 24). Campylobacteriosis cases were positively associated with temperature and, to a lesser degree, precipitation.

Conclusion

Across Europe, the strength and timing of campylobacteriosis peaks have remained similar to those observed previously. In addition, TESSy is a useful resource for cross-European seasonal analysis of infectious diseases such as campylobacteriosis, but its utility depends upon each country’s reporting infrastructure.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
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2019-03-28
2020-10-28
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2019.24.13.180028
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References

  1. European Food and Safety Authority (EFSA). Campylobacter Fact Sheet. Parma, Italy: EFSA; 2014.
  2. Keithlin J, Sargeant J, Thomas MK, Fazil A. Systematic review and meta-analysis of the proportion of Campylobacter cases that develop chronic sequelae. BMC Public Health. 2014;14(1):1203.  https://doi.org/10.1186/1471-2458-14-1203  PMID: 25416162 
  3. EFSA Panel on Biological Hazards. Scientific Opinion on Campylobacter in broiler meat production: control options and performance objectives and/or targets at different stages of the food chain. EFSA J. 2011;9(4):141.
  4. Nichols GL, Richardson JF, Sheppard SK, Lane C, Sarran C. Campylobacter epidemiology: a descriptive study reviewing 1 million cases in England and Wales between 1989 and 2011. BMJ Open. 2012;2(4):e001179.  https://doi.org/10.1136/bmjopen-2012-001179  PMID: 22798256 
  5. Nylen G, Dunstan F, Palmer SR, Andersson Y, Bager F, Cowden J, et al. The seasonal distribution of campylobacter infection in nine European countries and New Zealand. Epidemiol Infect. 2002;128(3):383-90.  https://doi.org/10.1017/S0950268802006830  PMID: 12113481 
  6. Nichols GL. Fly transmission of Campylobacter. Emerg Infect Dis. 2005;11(3):361-4.  https://doi.org/10.3201/eid1103.040460  PMID: 15757548 
  7. Jones NR, Millman C, van der Es M, Hukelova M, Forbes KJ, Glover C, et al. ENIGMA Consortium. Novel sampling method for assessing human-pathogen interactions in the natural environment using boot socks and citizen scientists, with application to Campylobacter seasonality. Appl Environ Microbiol. 2017;83(14):e00162-17.  https://doi.org/10.1128/AEM.00162-17  PMID: 28500040 
  8. Louis VR, Gillespie IA, O’Brien SJ, Russek-Cohen E, Pearson AD, Colwell RR. Temperature-driven Campylobacter seasonality in England and Wales. Appl Environ Microbiol. 2005;71(1):85-92.  https://doi.org/10.1128/AEM.71.1.85-92.2005  PMID: 15640174 
  9. Bi P, Cameron AS, Zhang Y, Parton KA. Weather and notified Campylobacter infections in temperate and sub-tropical regions of Australia: an ecological study. J Infect. 2008;57(4):317-23.  https://doi.org/10.1016/j.jinf.2008.08.004  PMID: 18804870 
  10. Sheppard SK, Dallas JF, Strachan NJC, MacRae M, McCarthy ND, Wilson DJ, et al. Campylobacter genotyping to determine the source of human infection. Clin Infect Dis. 2009;48(8):1072-8.  https://doi.org/10.1086/597402  PMID: 19275496 
  11. Kovats RS, Edwards SJ, Charron D, Cowden J, D’Souza RM, Ebi KL, et al. Climate variability and campylobacter infection: an international study. Int J Biometeorol. 2005;49(4):207-14.  https://doi.org/10.1007/s00484-004-0241-3  PMID: 15565278 
  12. European Centre for Disease Prevention and Control (ECDC). The European Surveillance System (TESSy): ECDC; 2019. Available from: https://ecdc.europa.eu/en/publications-data/european-surveillance-system-tessy
  13. European Centre for Disease Prevention and Control (ECDC). Surveillance Atlas of Infectious Disease. Stockholm: ECDC; 2018. Available from: https://ecdc.europa.eu/en/surveillance-atlas-infectious-diseases
  14. European Commision. Commission Implementing Decision 2012/506/EU of 8 August 2012, amending Decision 2002/253/EC laying down case definitions for reporting communicable diseases to the Community network under Decision No 2119/98/EC of the European Parliament and of the Council (Decision No 2119/98/EC has been repealed and replaced by Decision No 1082/2013/EU. The reference to Decision No 2119/98/EC shall be construed to refer to Decision No 1082/2013/EU). Official Journal of the European Union. Luxembourg: Publications Office of the European Union. 9.6.2016:L 152/45. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016D0904&from=GA
  15. European Commision. Commission Implementing Decision 2002/253/EC laying down case definitions for reporting communicable diseases to the Community network under Decision No 2119/98/EC of the European Parliament. Official Journal of the European Union. Luxembourg: Publications Office of the European Union. 9.6.2016:L 152/45. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016D0904&from=GA
  16. World Bank. Health, nutrition and population statistics; 2019. Available from: https://datacatalog.worldbank.org/dataset/health-nutrition-and-population-statistics
  17. Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. J Geophys Res D Atmospheres. 2008;113(20):D20119.  https://doi.org/10.1029/2008JD010201 
  18. Climate Data Operators (CDO). CDO 2015: Climate Data Operators. Hamburg: CDO; 2015.
  19. Hijmans RJ. Raster: Geographic Data Analysis and Modeling. R Package Version 2.4-15. 2015. Available from: http://CRAN.R-project.org/package=raster
  20. Team RCR. A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2015. Available from: https://www.R-project.org/.
  21. Lake IR, Gillespie IA, Bentham G, Nichols GL, Lane C, Adak GK, et al. A re-evaluation of the impact of temperature and climate change on foodborne illness. Epidemiol Infect. 2009;137(11):1538-47.  https://doi.org/10.1017/S0950268809002477  PMID: 19371450 
  22. Tan PN, Steinbach M, Kumar V. Introduction to Data Mining. Boston: Addison-Wesley Longman; 2005.
  23. Gasparrini A, Armstrong B, Kenward MG. Multivariate meta-analysis for non-linear and other multi-parameter associations. Stat Med. 2012;31(29):3821-39.  https://doi.org/10.1002/sim.5471  PMID: 22807043 
  24. Wooldridge J. Econometric Analysis of Cross Section and Panel Data. London: MIT Press; 2002.
  25. Rodriguez-Galiano VF, Dash J, Atkinson PM. Characterising the land surface phenology of Europe using decadal MERIS data. Remote Sens. 2015;7(7):9390-409.  https://doi.org/10.3390/rs70709390 
  26. Emborg HD, Teunis P, Simonsen J, Krogfelt KA, Jørgensen CS, Takkinen J, et al. Was the increase in culture-confirmed Campylobacter infections in Denmark during the 1990s a surveillance artefact? Euro Surveill. 2015;20(41):30041.  https://doi.org/10.2807/1560-7917.ES.2015.20.41.30041  PMID: 26538161 
  27. Kelana LC, Griffiths MW. Use of an autobioluminescent Campylobacter jejuni to monitor cell survival as a function of temperature, pH, and sodium chloride. J Food Prot. 2003;66(11):2032-7.  https://doi.org/10.4315/0362-028X-66.11.2032  PMID: 14627279 
  28. Schönberg-Norio D, Takkinen J, Hänninen ML, Katila ML, Kaukoranta SS, Mattila L, et al. Swimming and Campylobacter infections. Emerg Infect Dis. 2004;10(8):1474-7.  https://doi.org/10.3201/eid1008.030924  PMID: 15496253 
  29. Rushton SP, Sanderson RA, Diggle PJ, Shirley MDF, Blain AP, Lake I, et al. Climate, human behaviour or environment: individual-based modelling of Campylobacter seasonality and strategies to reduce disease burden. J Transl Med. 2019;17(1):34.  https://doi.org/10.1186/s12967-019-1781-y  PMID: 30665426 
  30. Olofsson J, Axelsson-Olsson D, Brudin L, Olsen B, Ellström P. Campylobacter jejuni actively invades the amoeba Acanthamoeba polyphaga and survives within non digestive vacuoles. PLoS One. 2013;8(11):e78873.  https://doi.org/10.1371/journal.pone.0078873  PMID: 24223169 
  31. Oosterom J, De Wilde GJA, De Boer E, De Blaauw LH, Karman H. Survival of Campylobacter jejuni during poultry processing and pig slaughtering. J Food Prot. 1983;46(8):702-6.  https://doi.org/10.4315/0362-028X-46.8.702 
  32. Sterk A, Schijven J, de Roda Husman AM, de Nijs T. Effect of climate change on runoff of Campylobacter and Cryptosporidium from land to surface water. Water Res. 2016;95:90-102.  https://doi.org/10.1016/j.watres.2016.03.005  PMID: 26986498 
  33. Kuhn KG, Falkenhorst G, Emborg HD, Ceper T, Torpdahl M, Krogfelt KA, et al. Epidemiological and serological investigation of a waterborne Campylobacter jejuni outbreak in a Danish town. Epidemiol Infect. 2017;145(4):701-9.  https://doi.org/10.1017/S0950268816002788  PMID: 27903324 
  34. European Centre for Disease Prevention and Control (ECDC). Surveillance of seven priority food- and waterborne diseases in the EU/EEA 2010-2012. Stockholm: ECDC; 2015.
  35. Wagenaar JA, French NP, Havelaar AH. Preventing Campylobacter at the source: why is it so difficult? Clin Infect Dis. 2013;57(11):1600-6.  https://doi.org/10.1093/cid/cit555  PMID: 24014733 
  36. Gibbons CL, Mangen MJJ, Plass D, Havelaar AH, Brooke RJ, Kramarz P, et al. Burden of Communicable diseases in Europe (BCoDE) consortium. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 2014;14(1):147.  https://doi.org/10.1186/1471-2458-14-147  PMID: 24517715 
Exploring Campylobacter seasonality across Europe using The European Surveillance System (TESSy), 2008 to 2016
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=IR+Lake&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Lake IR</a> , <a href="/search?value1=FJ+Col%C3%B3n-Gonz%C3%A1lez&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Colón-González FJ</a> , <a href="/search?value1=J+Takkinen&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Takkinen J</a> , <a href="/search?value1=M+Rossi&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Rossi M</a> , <a href="/search?value1=B+Sudre&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Sudre B</a> , <a href="/search?value1=J+Gomes+Dias&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Dias J Gomes</a> , <a href="/search?value1=L+Tavoschi&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Tavoschi L</a> , <a href="/search?value1=A+Joshi&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Joshi A</a> , <a href="/search?value1=JC+Semenza&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Semenza JC</a> , <a href="/search?value1=G+Nichols&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Nichols G</a> </span>. Exploring Campylobacter seasonality across Europe using The European Surveillance System (TESSy), 2008 to 2016. <a href="/content/ecdc">Euro Surveill.</a> 2019;24(13):pii=1800028. <a href="https://doi.org/10.2807/1560-7917.ES.2019.24.13.180028" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2019.24.13.180028</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 17 Jan 2018;&nbsp;&nbsp; <span class="generated">Accepted</span>: 08 Oct 2018 </span> </p>
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