Escherichia coli O157:H7 risk estimation from drinking water samples at departmental level, Colombia, 2021 to 2023
DOI:
https://doi.org/10.33610/28059611.165Keywords:
risk, Colombia, Escherichia coli, water quality, Escherichia coli infectionsAbstract
Introduction. Lack of access to drinking water can cause acute diarrheal disease (ADD). In Colombia, in 2022, 6,8 % of deaths due to specific causes of the total number of deaths were attributable to ADD. The objective of this study was to estimate the risk of Escherichia coli O157:H7 from drinking water samples at the departmental level between 2021-2023. Methodology. A cross-sectional study was conducted using secondary data from water quality and ADD reports. The risk of E. coli O157:H7 infection was assessed through a quantitative microbiological risk assessment (QMRA). Results. In 2021, 18 departments (31 846 observations for E. coli); in 2022, 17 (34 603 observations); and finally, in 2023, 14 departments (35 271 observations) were included in the model. The results suggest that the departments with the highest mean daily risk of illness and mean annual risk of ADD infection by E. coli O157:H7 in drinking water samples were: Boyacá (1,06 x 10-1, SD= 7,42 x 10-2), Caldas (3,52 x 10-1, SD= 7,66 x 10-2), Chocó (1,88 x 10-1, SD= 1,27 x 10-1), La Guajira (1,10 x 10-1, SD= 7,62 x 10-2), Nariño (4,63 x 10-1, SD= 1,33 x 10-1), Valle del Cauca (1,99 x 10-1, SD= 5,85 x 10-2) and Vaupés (4,37 x 10-1, SD= 1,80 x 10-1). Conclusions. The data reported in SIVICAP and the model implemented are useful tools for public health decision making to promote a safer water supply. More data on E. coli O157:H7 in drinking water, as well as other attributable ADD pathogens, are needed to refine the estimates made. It is important that departments with epidemiological silence in SIVICAP report these data.References
1. Mahmud ZH, Islam MS, Imran KM, Hakim SAI, Worth M, Ahmed A, et al. Occurrence of Escherichia coli and faecal coliforms in drinking water at source and household point-of-use in Rohingya camps, Bangladesh. Gut Pathog. 2019 Nov 1;11(1). doi: 10.1186/s13099-019-0333-6
2. Saxena T, Kaushik P, Krishna Mohan M. Prevalence of E. coli O157: H7 in water sources: An overview on associated diseases, outbreaks and detection methods. Vol. 82, Diagnostic Microbiology and Infectious Disease. Elsevier Inc.; 2015. p. 249–64. doi: 10.1016/j.diagmicrobio.2015.03.015
3. WHO (World Health Organization). Guidelines for drinking-water quality: fourth edition incorporating the first addendum. 4th ed. Drinking-water Quality Committee, editor. Switzerland: WHO; 2017. 1–518 p.
4. Hora J da, Cohim EB, Sipert S, Leão A. Quantitative Microbial Risk Assessment (QMRA) of Campylobacter for Roof-Harvested Rainwater Domestic Use. In MDPI AG; 2017. p. 185. doi: 10.3390/ecws-2-04954
5. Upfold NS, Luke GA, Knox C. Occurrence of Human Enteric Viruses in Water Sources and Shellfish: A Focus on Africa. Vol. 13, Food and Environmental Virology. Springer; 2021. doi: 10.1007/s12560-020-09456-8
6. WHO (World Health Organization). Drinking-water. WHO. 2023. [accessed 3 Oct 2024] Available from: https://www.who.int/news-room/fact-sheets/detail/drinking-water
7. Amatobi DA, Agunwamba JC. Improved quantitative microbial risk assessment (QMRA) for drinking water sources in developing countries. Appl Water Sci. 2022 Mar 1;12(3). doi: 10.1007/ s13201-022-01569-8
8. WHO (World Health Organization). Water, sanitation and hygiene: burden of disease. WHO. 2024. [accessed 3 Oct 2024] Available from: https://www.who.int/data/gho/data/themes/ topics/water-sanitation-and-hygiene-burden-of-disease
9. WHO (World Health Organization). Diarrhoeal disease. WHO. 2024. [accessed 3 Oct 2024] Available from:
https://www.who.int/news-room/fact-sheets/detail/diarrhoeal-disease
10. Gómez-Duarte OG. Enfermedad diarreica aguda por Escherichia coli enteropatógenas en Colombia. Rev Chilena Infectol. 2014;5(31):577–86. Available from: http://www.sochinf.cl/
11. Gómez-López VM, Lannoo AS, Gil MI, Allende A. Minimum free chlorine residual level required for the inactivation of Escherichia coli O157: H7 and trihalomethane generation during dynamic washing of fresh-cut spinach. Food Control. 2014;42:132–8. doi: 10.1016/j.foodcont.2014.01.034
12. Iwu CD, Nontongana N, Iwu-Jaja CJ, Anyanwu BO, du Plessis E, Korsten L, et al. Spatial diarrheal disease risks and antibiogram diversity of diarrheagenic Escherichia coli in selected access points of the Buffalo River, South Africa. PLoS One. 2023 Aug 1;18(8 August). doi: 10.1371/journal. pone.0288809
13. Barragán JLM, Cuesta LDI, Susa MSR. Quantitative microbial risk assessment to estimate the public health risk from exposure to enterotoxigenic E. coli in drinking water in the rural area of Villapinzon, Colombia. Microb Risk Anal. 2021 Aug 1;18. doi: 10.1016/j.mran.2021.100173
14. Machdar E, van der Steen NP, Raschid-Sally L, Lens PNL. Application of Quantitative Microbial Risk Assessment to analyze the public health risk from poor drinking water quality in a low income area in Accra, Ghana. Science of the Total Environment. 2013 Apr 1;449:134–42. doi: 10.1016/j.scitotenv.2013.01.048
15. Ministerio de Salud y Protección Social (MSPS), Ministerio de Vivienda Ciudad y Territorio (MVCT), Instituto Nacional de Salud (INS), Superintendencia de Servicios Públicos Domiciliarios. Informe Nacional de Calidad del Agua para Consumo Humano 2022 (INCA). Bogotá; 2023.
16. Brouwer AF, Masters NB, Eisenberg JNS. Quantitative microbial risk assessment and infectious disease transmission modeling of waterborne enteric pathogens. Curr Environ Health Rep. 2018;5:293–304. doi: 10.1007/s40572-018-0196-x
17. Ahmed J, Wong LP, Chua YP, Channa N, Mahar RB, Yasmin A, et al. Quantitative microbial risk assessment of drinking water quality to predict the risk of waterborne diseases in primary-school children. Int J Environ Res Public Health. 2020 Apr 2;17(8). doi: 10.3390/ijerph17082774
18. Ayeta EG, Yafetto L, Lutterodt G, Ogbonna JF, Miyittah MK. Seasonal variations and health risk assessment of microbial contaminations of groundwater in selected coastal communities of Ghana. Heliyon. 2023 Aug 1;9(8). doi: 10.1016/j.heliyon.2023.e18761
19. Balderrama-Carmona AP, Gortáres-Moroyoqui P, Álvarez-Valencia LH, Castro-Espinoza L, Balderas-Cortés JDJ, Mondaca-Fernández I, et al. Quantitative microbial risk assessment of Cryptosporidium and Giardia in well water from a native community of Mexico. Int J Environ Health Res. 2015 Sep 3;25(5):570–82. doi: 10.1080/09603123.2014.989492
20. Sato MIZ, Galvani AT, Padula JA, Nardocci AC, Lauretto M de S, Razzolini MTP, et al. Assessing the infection risk of Giardia and Cryptosporidium in public drinking water delivered by surface water systems in Sao Paulo State, Brazil. Science of the Total Environment. 2013;442:389–96. doi: 10.1016/j.scitotenv.2012.09.077
21. Morales E, Ibarra G, Reyes L, Barrantes K, Achí R, Chacón L. Disease burden from simultaneous exposure of Cryptosporidium sp. and Giardia sp. and land use vulnerability assessment in a Costa Rican drinking water system. Microb Risk Anal. 2022 Aug 1;21. doi: 10.1016/j.mran.2022.100213
22. Bacha L, da Silva Bandeira M, Lima VS, Ventura R, de Rezende CE, Ottoni AB, et al. Current Status of Drinking Water Quality in a Latin American Megalopolis. Water (Switzerland). 2023 Jan 1;15(1). doi: 10.3390/w15010165
23. WHO (World Health Organization). WHO Mortality Database: Interactive platform visualizing mortality data. WHO. 2024. [accessed 4 Oct 2024] Available from:
24. Instituto Nacional de Salud. Vigilancia brotes de enfermedades transmitidas por alimentos ,Colombia , semana epidemiológica 41 de 2020 Comportamiento de la enfermedad diarreica aguda ,. 2020;
25. Ministerio de Salud y Protección Social (MSPS), Ministerio de Vivienda Ciudad y Territorio (MVCT), Instituto Nacional de Salud (INS), Superintendencia de Servicios Públicos Domiciliarios. Informe Nacional de Calidad del Agua para Consumo Humano 2021 (INCA). Bogotá; 2023 Jan.
26. Instituto Nacional de Salud. Evaluación Del Riesgo Agudo y Crónico a Partir de Datos de Vigilancia de Calidad de Agua Reportados En La Base de Datos SIVICAP en los Años 2016 y 2017. INS. Vol. 1. Bogotá; 2018.
27. Howard G, Pedley S, Tibatemwa S. Quantitative microbial risk assessment to estimate health risks attributable to water supply: Can the technique be applied in developing countries with limited data? J Water Health. 2006 Apr 1; Available from: http://iwaponline.com/jwh/article-pdf/4/1/49/396405/49.pdf
28. ICBF (Instituto Colombiano de Bienestar Familiar). ENSIN: Encuesta Nacional de Situación Nutricional. ICBF. 2015. [accessed 3 Oct 2024] Available from: https://www.icbf.gov.co/bienestar/nutricion/encuesta-nacional-situacion-nutricional
29. Smeets PWMH. Quantitative microbial risk assessment (Qmra) to support decisions for water supply in affluent and developing countries. Water Pract Technol. 2019 Sep 1;14(3):542–8. doi: 10.2166/wpt.2019.038
30. Haas CN, Rose JB, Gerba CP. Conducting the Dose–Response Assessment. In: Quantitative Microbial Risk Assessment, Second Edition. John Wiley & Sons, Inc.; 2014. p. 267–321. doi: https://doi.org/10.1002/9781118910030.ch8
31. Nam GW, Jeong M, Heo EJ, Chang OK, Kim M-G, Kwak H-S, et al. Quantitative microbial risk assessment of pathogenic Escherichia coli in commercial kimchi in South Korea. Food Sci Biotechnol. 2021;30(11):1455–64. Available from: https://doi.org/10.1007/s10068-021-00997-7
32. Schoenen D. Role of disinfection in suppressing the spread of pathogens with drinking water: possibilities and limitations. Vol. 36, Water Research. 2002. doi: https://doi.org/10.1016/S0043-1354(02)00076-3
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