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Flies as potential carriers for diseases in pork butcheries in Kampala

  1. FLIES AS POTENTIAL CARRIERS FOR DISEASE IN PORK BUTCHERIES IN KAMPALA DVM Martin Heilmann - Graduate fellow ILRI & PhD student at the Institute of Parasitology and Tropical Veterinary Medicine of Freie Universität Berlin ILRI Nairobi seminar – 26 November 2014
  2. Overview Project description Background Objectives Material and methods Baseline Intervention Microbiological sampling Results Outlook Discussion Conclusion 2
  3. 3 Project description Background Objectives Material and methods Baseline Intervention Microbiological sampling Results Outlook Discussion Conclusion
  4. Background I – pigs and pork The number of pigs in Uganda has increased rapidly [1] Uganda has the highest per capita consumption of pork in East Africa 70% of pork is consumed in urban areas [2] Road-side butcheries (known as pork joints) are very common 4 0 500 1000 1500 2000 2500 3000 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 Pig numbers in thousands Pigs in Uganda (FAOSTAT)
  5. Background II – diarrhoea 5 Higher risk in low-income areas with poor sanitary conditions Second most common cause of deaths in children under five [4] Foodborne diseases a health concern worldwide [3] Salmonellosis is one of the most common and globally distributed [5] Disability-adjusted life year for diarrhea per 100,000 inhabitants in 2004
  6. Background III – flies 6 Synantrophic flies feed on human foodstuffs and waste Potential to transmit pathogens causing diarrhoea and dysentery [6]
  7. Natete zone, Kampala
  8. 10
  9. Project objectives I.Flies' role as carrier for disease in pork joints II.Butchers' and consumers' perception of flies III.Prevalence of Salmonella ssp. in pork joints IV.Impact of insecticide-treated nets on the number of flies in pork joints 12
  10. 13 Project description Background Objectives Material and methods Baseline Intervention Microbiological sampling Results Outlook Discussion Conclusion
  11. Material and methods - baseline 14 Random selection of 60 pork joints from geo-referenced survey conducted by J. Kungu in 2014 [7] Interviews with 1 butcher and 4 customers from each joint Structured questionnaires Socioeconomics Market-related characteristics Attitudes in preparing pork and relishes (butchers) Purchase and consumption habits (customers) Choice card example from butcher‘s questionnaire [8]
  12. Material and methods - intervention 15 18 pork joints from baseline were netted 5 non-netted as controls Net installation on wall or as window frame Material: ZeroFly®, 270 mg Deltamethrin/m2 Monitoring for 3 months Glue traps hung once per week for 48 consecutive hours Phenotypic fly identification Sample of nets collected monthly to test efficacy
  13. 16
  14. 17
  15. Material and methods – sampling Sampling of Salmonella ssp. as indicator pathogen Based on previous studies on food and animals in Kampala [5;11;12] Sampling (ISO 6579:2002) Raw and processed pork Water Fresh vegetables Hands’ surface Equipment Flies’ midguts 18
  16. 19 Project description Background Objectives Material and methods Baseline Intervention Microbiological sampling Results Outlook Discussion Conclusion
  17. Results – baseline 20 Raw pork 53% Fried 30% Roasted 15% Cooked 2% Pork sold as * Sampled butchers' demographics: Male-dominated (93%) 50% greater than middle school education 12% owners, 20% managers, 68% workers 87% cooked pork is served with raw relishes Flies present in 80% of butcheries Other pest animals in 50%
  18. Results – baseline retailers 21 Attribute Most total Least total BW score Standardized BW score (mean) Standard deviation SQRT (B/W) Standardized ratio scale Meat from the same day 175 7 168 0.700 1.139 5.00 100.00 Cleanliness of the butchery 153 7 146 0.608 0.769 4.68 93.50 Trust in the butcher 154 14 140 0.583 0.871 3.32 66.33 Color of the meat 128 51 77 0.321 0.929 1.58 31.68 The butcher is wearing a coat 63 20 43 0.179 0.928 1.77 35.50 Butchery close to main road 36 26 10 0.042 0.764 1.18 23.53 Price 12 30 -18 -0.075 0.514 0.63 12.65 Type of building structure 19 44 -25 -0.104 0.567 0.66 13.14 Bony meat 10 76 -66 -0.275 0.418 0.36 7.25 Presence of flies in the butchery 15 127 -112 -0.467 0.628 0.34 6.87 Fat layer of the meat 2 120 -118 -0.492 0.181 0.13 2.58 Pest animals in/around the butchery 5 127 -122 -0.508 0.279 0.20 3.97 Age of the animal 8 131 -123 -0.513 0.468 0.25 4.94 Importance of attributes within the best-worst scaling
  19. -0.6 -0.4 -0.2 -1E-15 0.2 0.4 0.6 0.8 Average B-W score
  20. Results – intervention 23 0 5 10 15 20 25 30 35 40 45 50 13-Aug 20-Aug 27-Aug 03-Sep 10-Sep 17-Sep 24-Sep 01-Oct 08-Oct 15-Oct 22-Oct 29-Oct 05-Nov 12-Nov 19-Nov Fly numbers Fly monitoring Control Intervention Linear (Control) Linear (Intervention) 84% Trapped flies during Intervention (n=9532) Musca Chrysomya OthersNetting installation
  21. Results – microbiological sampling 24 Pathogens on and in flies found in pretests: E. coli S. aureus S. enteritidis Klebsiella sp. S. dysgalactiae Coliforms B. cereus Proteus sp.
  22. Results – Salmonella enteritidis 25 Sample Number Positive Prevalence Raw pork 77 25 31% Flies 55 16 29% Tomatoes 77 6 8% Cabbage 77 4 5% Onions 77 2 3% Roasted pork 77 1* 1% Hands surface 77 0 0% Equipment 77 0 0% Water 15 0 0% * S. gallinarum
  23. 26 Project description Background Objectives Material and methods Baseline Intervention Microbiological sampling Results Outlook Discussion Conclusion
  24. Outlook 27 Sharing feedback with butchers WTP with butchers from baseline Post-sampling in netted butcheries Molecularbiological analysis and antimicrobial resistance of Salmonella samples Testing net efficacy Sampling for environmental contamination Further analysis, interpretation and writing
  25. Discussion 28 1.Most butchers are aware of flies in their pork joints and try to reduce them with limited success 2.Efficacy of insecticid treated nets depends strongly on local conditions and implementation Butchers' and customers' acceptance for the net varies strongly Proper use of insecticides requires users to know certain key facts in order to avoid resistances and environmental and health risks 3.Half of butchers obtain their pork from backyards or non-gazetted abattoirs 4.“We’re Africans – we don’t die of flies”
  26. Some conclusions 29 Salmonella is highly prevalent in flies and raw pork Insecticide treated nets can reduce flies, but further research about (practicability of) implementation is necessary Research disciplines combined like epidemiology, microbiology and economics to study the mechanisms under which pork in pork butcheries is produced, marketed and consumed could improve the understanding of how the growing pork joint industry impacts public health Butchers are willing to learn and to invest in their business but there is still a major lack of awareness and understanding about food safety risks and public health
  27. References 31 (1)Uganda Bureau of Statistics 2009 & FAO 2014 (2)Roesel, K., Grace, D., Dione, M. M., Ouma, E. A., Pezo, D., Kungu, J., Ejobi, F., Clausen, P. H., 2013. Assessment of knowledge, attitudes and practices on pork safety among smallholder pig farmers in Uganda. Poster prepared for the First African Regional Conference of the International Association on Ecology and Health (Africa 2013 Ecohealth), Grand-Bassam, Côte d'Ivoire, 1-5 October 2013. Nairobi, Kenya: ILRI. (3)Lukinmaa, S., Nakari, U. M., Eklund, M., Siitonen, A., 2004. Application of molecular genetic methods in diagnostics and epidemiology of food- borne bacterial pathogens. Acta Pathologica, Microbiologica et Immunologica Scandinavica, 112(11-12), 908-929. (4)Liu, L., Johnson, H. L., Cousens, S., Perin, J., Scott, S., Lawn, J. E., Rudan, I., Campbell, H., Cibulskis, R., Li, M., Mathers, C., Black, R. E., 2012. Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. The Lancet, 379(9832), 2151-2161. (5)Bosco, K. J., Kaddu-Mulindwa, D. H. and Asiimwe, B. B., 2012. Antimicrobial Drug Resistance and Plasmid Profiles of Salmonella Isolates from Humans and Foods of Animal Origin in Uganda. Advances in Infectious Diseases, 2, 151-155. (6)Förster, M., Klimpel, S., Mehlhorn, H., Sievert, K., Messler, S., Pfeffer, K., 2007. Pilot study of synanthropic flies (e.g. Musca, Sarcophaga, Calliphora, Fannia, Lucilia, Stomoxys) as vectors of pathogenic microorganisms. Parasitology Research, 101, 243-246. (7)Kungu, J. M., Dione, M. M., Ejobi, F., Ocaido, M., Roesel, K., Grace, D., 2014. Causal factors for taeniasis and Taenia solium cysticercosis associated with pork handling and consumption: a case study of Kampala district, Uganda. (submitted) (8)Heilmann, M., Mtimet, N., Roesel, K., Grace, D., 2014 Assessing Ugandan pork butchers’ practices and their perception of customers’ preferences: A best-worst approach. (submitted) (9)Molbak, K., 2005. Human health consequences of antimicrobial drug-resistant Salmonella and other foodborne pathogens. Clinical Infectious Diseases, 41(11), 1613-1620. (10)Mian, L. S., Maag, H., Tacal, J. V., 2002. Isolation of Salmonella from muscoid flies at commercial animal establishments in San Bernardino County, California. Journal of Vector Ecology, 27(1), 82-85. (11)Mugampoza, D., Byarugaba, G. W. B., Nyonyintono, A. and Nakitto, P., 2014. Occurrence of Escherichia coli and Salmonella spp. in street- vended foods and general hygienic and trading practices in Nakawa Division, Uganda (12)G. W. Nasinyama, G. W., McEwen, S. A., Waltner-Toews, D., Gyles, C. L., Wilson, J., OpudaAsibo, J. and Poppe, C., 1998“Pre- valence, Characterisitics and Distribution of Non-Ty- phoidal Salmonella in Diarrhoea Patients and Slaughter Animals in Kampala District, Uganda,” Proceedings of the 4th World Congress Foodborne Infections and In- toxications, Berlin, 7-12 June 1998, pp. 433-444.
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