Association Among Household Water, Sanitation, and Hygiene (WASH) Status and Typhoid Risk in Urban Slums : Prospective Cohort Study in Bangladesh
©Birkneh Tilahun Tadesse, Farhana Khanam, Faisal Ahmmed, Xinxue Liu, Md Taufiqul Islam, Deok Ryun Kim, Sophie SY Kang, Justin Im, Fahima Chowdhury, Tasnuva Ahmed, Asma Binte Aziz, Masuma Hoque, Juyeon Park, Gideok Pak, Hyon Jin Jeon, Khalequ Zaman, Ashraful Islam Khan, Jerome H Kim, Florian Marks, Firdausi Qadri, John D Clemens. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 20.11.2023..
BACKGROUND: Typhoid fever, or enteric fever, is a highly fatal infectious disease that affects over 9 million people worldwide each year, resulting in more than 110,000 deaths. Reduction in the burden of typhoid in low-income countries is crucial for public health and requires the implementation of feasible water, sanitation, and hygiene (WASH) interventions, especially in densely populated urban slums.
OBJECTIVE: In this study, conducted in Mirpur, Bangladesh, we aimed to assess the association between household WASH status and typhoid risk in a training subpopulation of a large prospective cohort (n=98,087), and to evaluate the performance of a machine learning algorithm in creating a composite WASH variable. Further, we investigated the protection associated with living in households with improved WASH facilities and in clusters with increasing prevalence of such facilities during a 2-year follow-up period.
METHODS: We used a machine learning algorithm to create a dichotomous composite variable ("Better" and "Not Better") based on 3 WASH variables: private toilet facility, safe drinking water source, and presence of water filter. The algorithm was trained using data from the training subpopulation and then validated in a distinct subpopulation (n=65,286) to assess its sensitivity and specificity. Cox regression models were used to evaluate the protective effect of living in "Better" WASH households and in clusters with increasing levels of "Better" WASH prevalence.
RESULTS: We found that residence in households with improved WASH facilities was associated with a 38% reduction in typhoid risk (adjusted hazard ratio=0.62, 95% CI 0.49-0.78; P<.001). This reduction was particularly pronounced in individuals younger than 10 years at the first census participation, with an adjusted hazard ratio of 0.49 (95% CI 0.36-0.66; P<.001). Furthermore, we observed an inverse relationship between the prevalence of "Better" WASH facilities in clusters and the incidence of typhoid, although this association was not statistically significant in the multivariable model. Specifically, the adjusted hazard of typhoid decreased by 0.996 (95% CI 0.986-1.006) for each percent increase in the prevalence of "Better" WASH in the cluster (P=.39).
CONCLUSIONS: Our findings demonstrate that existing variations in household WASH are associated with differences in the risk of typhoid in densely populated urban slums. This suggests that attainable improvements in WASH facilities can contribute to enhanced typhoid control, especially in settings where major infrastructural improvements are challenging. These findings underscore the importance of implementing and promoting comprehensive WASH interventions in low-income countries as a means to reduce the burden of typhoid and improve public health outcomes in vulnerable populations.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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| Enthalten in: |
JMIR public health and surveillance - 9(2023) vom: 20. Nov., Seite e41207 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Tadesse, Birkneh Tilahun [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 21.11.2023 Date Revised 07.12.2023 published: Electronic Citation Status MEDLINE |
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| doi: |
10.2196/41207 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM364746033 |
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| 245 | 1 | 0 | |a Association Among Household Water, Sanitation, and Hygiene (WASH) Status and Typhoid Risk in Urban Slums |b Prospective Cohort Study in Bangladesh |
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| 520 | |a ©Birkneh Tilahun Tadesse, Farhana Khanam, Faisal Ahmmed, Xinxue Liu, Md Taufiqul Islam, Deok Ryun Kim, Sophie SY Kang, Justin Im, Fahima Chowdhury, Tasnuva Ahmed, Asma Binte Aziz, Masuma Hoque, Juyeon Park, Gideok Pak, Hyon Jin Jeon, Khalequ Zaman, Ashraful Islam Khan, Jerome H Kim, Florian Marks, Firdausi Qadri, John D Clemens. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 20.11.2023. | ||
| 520 | |a BACKGROUND: Typhoid fever, or enteric fever, is a highly fatal infectious disease that affects over 9 million people worldwide each year, resulting in more than 110,000 deaths. Reduction in the burden of typhoid in low-income countries is crucial for public health and requires the implementation of feasible water, sanitation, and hygiene (WASH) interventions, especially in densely populated urban slums | ||
| 520 | |a OBJECTIVE: In this study, conducted in Mirpur, Bangladesh, we aimed to assess the association between household WASH status and typhoid risk in a training subpopulation of a large prospective cohort (n=98,087), and to evaluate the performance of a machine learning algorithm in creating a composite WASH variable. Further, we investigated the protection associated with living in households with improved WASH facilities and in clusters with increasing prevalence of such facilities during a 2-year follow-up period | ||
| 520 | |a METHODS: We used a machine learning algorithm to create a dichotomous composite variable ("Better" and "Not Better") based on 3 WASH variables: private toilet facility, safe drinking water source, and presence of water filter. The algorithm was trained using data from the training subpopulation and then validated in a distinct subpopulation (n=65,286) to assess its sensitivity and specificity. Cox regression models were used to evaluate the protective effect of living in "Better" WASH households and in clusters with increasing levels of "Better" WASH prevalence | ||
| 520 | |a RESULTS: We found that residence in households with improved WASH facilities was associated with a 38% reduction in typhoid risk (adjusted hazard ratio=0.62, 95% CI 0.49-0.78; P<.001). This reduction was particularly pronounced in individuals younger than 10 years at the first census participation, with an adjusted hazard ratio of 0.49 (95% CI 0.36-0.66; P<.001). Furthermore, we observed an inverse relationship between the prevalence of "Better" WASH facilities in clusters and the incidence of typhoid, although this association was not statistically significant in the multivariable model. Specifically, the adjusted hazard of typhoid decreased by 0.996 (95% CI 0.986-1.006) for each percent increase in the prevalence of "Better" WASH in the cluster (P=.39) | ||
| 520 | |a CONCLUSIONS: Our findings demonstrate that existing variations in household WASH are associated with differences in the risk of typhoid in densely populated urban slums. This suggests that attainable improvements in WASH facilities can contribute to enhanced typhoid control, especially in settings where major infrastructural improvements are challenging. These findings underscore the importance of implementing and promoting comprehensive WASH interventions in low-income countries as a means to reduce the burden of typhoid and improve public health outcomes in vulnerable populations | ||
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| 700 | 1 | |a Ahmmed, Faisal |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xinxue |e verfasserin |4 aut | |
| 700 | 1 | |a Islam, Md Taufiqul |e verfasserin |4 aut | |
| 700 | 1 | |a Kim, Deok Ryun |e verfasserin |4 aut | |
| 700 | 1 | |a Kang, Sophie Sy |e verfasserin |4 aut | |
| 700 | 1 | |a Im, Justin |e verfasserin |4 aut | |
| 700 | 1 | |a Chowdhury, Fahima |e verfasserin |4 aut | |
| 700 | 1 | |a Ahmed, Tasnuva |e verfasserin |4 aut | |
| 700 | 1 | |a Aziz, Asma Binte |e verfasserin |4 aut | |
| 700 | 1 | |a Hoque, Masuma |e verfasserin |4 aut | |
| 700 | 1 | |a Park, Juyeon |e verfasserin |4 aut | |
| 700 | 1 | |a Pak, Gideok |e verfasserin |4 aut | |
| 700 | 1 | |a Jeon, Hyon Jin |e verfasserin |4 aut | |
| 700 | 1 | |a Zaman, Khalequ |e verfasserin |4 aut | |
| 700 | 1 | |a Khan, Ashraful Islam |e verfasserin |4 aut | |
| 700 | 1 | |a Kim, Jerome H |e verfasserin |4 aut | |
| 700 | 1 | |a Marks, Florian |e verfasserin |4 aut | |
| 700 | 1 | |a Qadri, Firdausi |e verfasserin |4 aut | |
| 700 | 1 | |a Clemens, John D |e verfasserin |4 aut | |
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