Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis
Abstract Background Water, sanitation, and hygiene (WASH) play a pivotal role in controlling typhoid fever, as it is primarily transmitted through oral-fecal pathways. Given our constrained resources, staying current with the most recent research is crucial. This ensures we remain informed about pra...
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BMC
2023-08-01
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Series: | BMC Infectious Diseases |
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Online Access: | https://doi.org/10.1186/s12879-023-08452-0 |
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author | Chaelin Kim Gerard R. Goucher Birkneh Tilahun Tadesse Woojoo Lee Kaja Abbas Jong-Hoon Kim |
author_facet | Chaelin Kim Gerard R. Goucher Birkneh Tilahun Tadesse Woojoo Lee Kaja Abbas Jong-Hoon Kim |
author_sort | Chaelin Kim |
collection | DOAJ |
description | Abstract Background Water, sanitation, and hygiene (WASH) play a pivotal role in controlling typhoid fever, as it is primarily transmitted through oral-fecal pathways. Given our constrained resources, staying current with the most recent research is crucial. This ensures we remain informed about practical insights regarding effective typhoid fever control strategies across various WASH components. We conducted a systematic review and meta-analysis of case-control studies to estimate the associations of water, sanitation, and hygiene exposures with typhoid fever. Methods We updated the previous review conducted by Brockett et al. We included new findings published between June 2018 and October 2022 in Web of Science, Embase, and PubMed. We used the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool for risk of bias (ROB) assessment. We classified WASH exposures according to the classification provided by the WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation, and Hygiene (JMP) update in 2015. We conducted the meta-analyses by only including studies that did not have a critical ROB in both Bayesian and frequentist random-effects models. Results We identified 8 new studies and analyzed 27 studies in total. Our analyses showed that while the general insights on the protective (or harmful) impact of improved (or unimproved) WASH remain the same, the pooled estimates of OR differed. Pooled estimates of limited hygiene (OR = 2.26, 95% CrI: 1.38 to 3.64), untreated water (OR = 1.96, 95% CrI: 1.28 to 3.27) and surface water (OR = 2.14, 95% CrI: 1.03 to 4.06) showed 3% increase, 18% decrease, and 16% increase, respectively, from the existing estimates. On the other hand, improved WASH reduced the odds of typhoid fever with pooled estimates for improved water source (OR = 0.54, 95% CrI: 0.31 to 1.08), basic hygiene (OR = 0.6, 95% CrI: 0.38 to 0.97) and treated water (OR = 0.54, 95% CrI: 0.36 to 0.8) showing 26% decrease, 15% increase, and 8% decrease, respectively, from the existing estimates. Conclusions The updated pooled estimates of ORs for the association of WASH with typhoid fever showed clear changes from the existing estimates. Our study affirms that relatively low-cost WASH strategies such as basic hygiene or water treatment can be an effective tool to provide protection against typhoid fever in addition to other resource-intensive ways to improve WASH. Trial registration PROSPERO 2021 CRD42021271881. |
first_indexed | 2024-03-09T15:27:09Z |
format | Article |
id | doaj.art-554c92e3fef549918856bed65123056a |
institution | Directory Open Access Journal |
issn | 1471-2334 |
language | English |
last_indexed | 2024-03-09T15:27:09Z |
publishDate | 2023-08-01 |
publisher | BMC |
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series | BMC Infectious Diseases |
spelling | doaj.art-554c92e3fef549918856bed65123056a2023-11-26T12:27:20ZengBMCBMC Infectious Diseases1471-23342023-08-0123111710.1186/s12879-023-08452-0Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysisChaelin Kim0Gerard R. Goucher1Birkneh Tilahun Tadesse2Woojoo Lee3Kaja Abbas4Jong-Hoon Kim5International Vaccine InstituteInternational Vaccine InstituteInternational Vaccine InstituteGraduate School of Public Health, Seoul National UniversityLondon School of Hygiene & Tropical MedicineInternational Vaccine InstituteAbstract Background Water, sanitation, and hygiene (WASH) play a pivotal role in controlling typhoid fever, as it is primarily transmitted through oral-fecal pathways. Given our constrained resources, staying current with the most recent research is crucial. This ensures we remain informed about practical insights regarding effective typhoid fever control strategies across various WASH components. We conducted a systematic review and meta-analysis of case-control studies to estimate the associations of water, sanitation, and hygiene exposures with typhoid fever. Methods We updated the previous review conducted by Brockett et al. We included new findings published between June 2018 and October 2022 in Web of Science, Embase, and PubMed. We used the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool for risk of bias (ROB) assessment. We classified WASH exposures according to the classification provided by the WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation, and Hygiene (JMP) update in 2015. We conducted the meta-analyses by only including studies that did not have a critical ROB in both Bayesian and frequentist random-effects models. Results We identified 8 new studies and analyzed 27 studies in total. Our analyses showed that while the general insights on the protective (or harmful) impact of improved (or unimproved) WASH remain the same, the pooled estimates of OR differed. Pooled estimates of limited hygiene (OR = 2.26, 95% CrI: 1.38 to 3.64), untreated water (OR = 1.96, 95% CrI: 1.28 to 3.27) and surface water (OR = 2.14, 95% CrI: 1.03 to 4.06) showed 3% increase, 18% decrease, and 16% increase, respectively, from the existing estimates. On the other hand, improved WASH reduced the odds of typhoid fever with pooled estimates for improved water source (OR = 0.54, 95% CrI: 0.31 to 1.08), basic hygiene (OR = 0.6, 95% CrI: 0.38 to 0.97) and treated water (OR = 0.54, 95% CrI: 0.36 to 0.8) showing 26% decrease, 15% increase, and 8% decrease, respectively, from the existing estimates. Conclusions The updated pooled estimates of ORs for the association of WASH with typhoid fever showed clear changes from the existing estimates. Our study affirms that relatively low-cost WASH strategies such as basic hygiene or water treatment can be an effective tool to provide protection against typhoid fever in addition to other resource-intensive ways to improve WASH. Trial registration PROSPERO 2021 CRD42021271881.https://doi.org/10.1186/s12879-023-08452-0Typhoid fever; Water, sanitation, and hygiene (WASH)Case-control studyIntervention strategyBayesian meta-analysis |
spellingShingle | Chaelin Kim Gerard R. Goucher Birkneh Tilahun Tadesse Woojoo Lee Kaja Abbas Jong-Hoon Kim Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis BMC Infectious Diseases Typhoid fever; Water, sanitation, and hygiene (WASH) Case-control study Intervention strategy Bayesian meta-analysis |
title | Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis |
title_full | Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis |
title_fullStr | Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis |
title_full_unstemmed | Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis |
title_short | Associations of water, sanitation, and hygiene with typhoid fever in case–control studies: a systematic review and meta-analysis |
title_sort | associations of water sanitation and hygiene with typhoid fever in case control studies a systematic review and meta analysis |
topic | Typhoid fever; Water, sanitation, and hygiene (WASH) Case-control study Intervention strategy Bayesian meta-analysis |
url | https://doi.org/10.1186/s12879-023-08452-0 |
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