Evidence map›Paper›PMID 37983081›Full record

ArticleJMIR public health and surveillance2023

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 and 11 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Birkneh Tilahun Tadesse *Epidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0003-4005-8605
Farhana Khanam *Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-4158-5995
Faisal AhmmedInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0003-1604-0384
Xinxue LiuOxford Vaccine Group, Department of Pediatrics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1107-0365
Md Taufiqul IslamInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0003-1584-484X
Deok Ryun KimEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0009-0007-3085-6773
Sophie Sy KangEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0001-9585-3556
Justin ImEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0002-3762-084X
Fahima ChowdhuryInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-7082-0720
Tasnuva AhmedInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0009-0000-6774-6104
Asma Binte AzizEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0003-0203-5744
Masuma HoqueInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0009-0003-7943-3027
Juyeon ParkEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0003-2148-5329
Gideok PakEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0002-5231-3506
Hyon Jin JeonEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0002-2344-4574
Khalequ ZamanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-1982-6879
Ashraful Islam KhanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0003-2169-4163
Jerome H KimEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0003-0461-6438
Florian MarksEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0002-6043-7170
Firdausi QadriInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-8928-9888
John D ClemensEpidemiology, Public Health, Impact Unit, International Vaccine Institute, Seoul, Republic of Korea.ORCID 0009-0005-3763-6074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTyphoid 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.

objectiveIn 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.

methodsWe 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.

resultsWe 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).

conclusionsOur 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.

Indexed as

Typhoid FeverWaterBangladeshHumansHygienePoverty AreasProspective StudiesSanitationWateralgorithmalgorithmsbacteriabacterialbacterial infectionBangladeshcontaminatedcontaminationentericenteric feverepidemiologicalepidemiologyhygienehygienicincidenceinfection controlLMIClow- and middle-income countrieslow incomemachine learningmodelpovertyprevalenceprotectionrecursive partitioningrisksalmonellasanitarysanitationslumslumstyphoidtyphoid fevertyphusWASHwaterwater, sanitation and hygiene

Identifiers

PMID37983081
PMCPMC10696503

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.