food bourne disease in LMICs from ASFs
Food bourne illness is a big problem
The Safe Food Imperative estimated the cost of foodborne diseases (FBD) at USD$110 billion in lost productivity and medical expenses in low- and middle-income countries each year.
They can be caused by a variety of microbial pathogens, chemicals, and parasites that contaminate food.
The most common bacteria responsible for asf based food poisoning are:
Some key pathogens that cause food poisoning from animal products include:
- Salmonella: Salmonella bacteria are a common cause of foodborne illness, often associated with poultry and eggs[4][5].
- Staphylococcus aureus: This bacterium is responsible for a significant number of food poisoning cases and is commonly found on raw foods like meat products[2].
- Clostridium perfringens: Another common cause of foodborne illness, often linked to contamination of raw meat and poultry products[2][5].
- Campylobacter: This bacterium can cause diarrhea, abdominal cramps, and nausea and is commonly found in meat, poultry, milk, and mushrooms[2][5].
- Listeria monocytogenes: Listeria can survive adverse conditions for long periods and is associated with foods like milk, soft cheeses, and vegetables fertilized with manure[2].
Citations:
[2] https://aggie-horticulture.tamu.edu/food-technology/bacterial-food-poisoning/
[4] https://www.fsis.usda.gov/food-safety/foodborne-illness-and-disease/illnesses-and-pathogens
- Some estimates of the burden of disease from food bourne illness places it as high as HIV/AIDS, malaria, or tuberculosis [1]
- A 9-country study found that 25% of stunting could be attributed to experiencing more than four episodes of diarrhea before the age of 24 mo (Checkley et al., 2008), and Rogawski et al., 2018[2] found that episodes of diarrhoea from Campylobacter, E-coli and Shigella infections (asfs are common sources of these infections) had significant effects on stunting and growth of infants.
- See also Vipham et al., 2020
ASFs are a huge part of the problem
- A great review found that in #lower_middle_income_countries, (Grace, 2015 )
- 6% of Pork in Nagaland, NE India met safe food standards[3]
- Only 2% of meat samples in Nigeria complied with standards[4]
- 0% of milk samples in Assam complied with standard[5]
- A study of 48 countries found that high levels of meat production was a key predictor of death rate from food-bourne illness[6]
- Out of 821 USDA-inspected poultry slaughterhouses, 390 (47.5%) failed to meet federal Salmonella performance standards between 2017 and 2018. The worst offenders had Salmonella rates over 25%.
Grace et al., (2020) estimates that dairy may be responsible for 4% of the global food-bourne disease burden and 12% of the ASF disease burden.
Li et al., 2019
References
Havelaar, A. H., Kirk, M. D., Torgerson, P. R., Gibb, H. J., Hald, T., Lake, R. J., ... & World Health Organization Foodborne Disease Burden Epidemiology Reference Group. (2015). World Health Organization global estimates and regional comparisons of the burden of foodborne disease in 2010. PLoS medicine, 12(12), e1001923. ↩︎
Rogawski, E. T., Liu, J., Platts-Mills, J. A., Kabir, F., Lertsethtakarn, P., Siguas, M., ... & Quetz, J. (2018). Use of quantitative molecular diagnostic methods to investigate the effect of enteropathogen infections on linear growth in children in low-resource settings: longitudinal analysis of results from the MAL-ED cohort study. The Lancet Global Health, 6(12), e1319-e1328. ↩︎
Fahrion, A.S.; Jamir, L.; Richa, K.; Begum, S.; Rutsa, V.; Ao, S.; Padmakumar, V.P.; Deka, R.P.; Grace, D.. Food-safety hazards in the pork chain in Nagaland, North East India: Implications for human health. Int. J. Environ. Res. Public Health 2014, 11, 403–417. ↩︎
ILRI. Assessment of Risks to Human Health associated with Meat from Different Value Chains in Nigeria: Using the Example of the Beef Value Chain; International Livestock Research Institute: Nairobi, Kenya, 2011. ↩︎
ILRI. Comprehensive Study of the Assam Dairy Sector: Action Plan for Pro-Poor Dairy Development; International Livestock Research Institute: Nairobi, Kenya, 2007. ↩︎
Hanson, L. A., Zahn, E. A., Wild, S. R., Döpfer, D., Scott, J., & Stein, C. (2012). Estimating global mortality from potentially foodborne diseases: an analysis using vital registration data. Population Health Metrics, 10(1), 1-7. ↩︎