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Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data
BACKGROUND: Typhoid fever remains a major public health problem in India. Recently, the Surveillance for Enteric Fever in India program completed a multisite surveillance study. However, data on subnational variation in typhoid fever are needed to guide the introduction of the new typhoid conjugate...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892532/ https://www.ncbi.nlm.nih.gov/pubmed/35238365 http://dx.doi.org/10.1093/infdis/jiab187 |
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author | Cao, Yanjia Karthikeyan, Arun S Ramanujam, Karthikeyan Raju, Reshma Krishna, Swathi Kumar, Dilesh Ryckman, Theresa Mohan, Venkata Raghava Kang, Gagandeep John, Jacob Andrews, Jason R Lo, Nathan C |
author_facet | Cao, Yanjia Karthikeyan, Arun S Ramanujam, Karthikeyan Raju, Reshma Krishna, Swathi Kumar, Dilesh Ryckman, Theresa Mohan, Venkata Raghava Kang, Gagandeep John, Jacob Andrews, Jason R Lo, Nathan C |
author_sort | Cao, Yanjia |
collection | PubMed |
description | BACKGROUND: Typhoid fever remains a major public health problem in India. Recently, the Surveillance for Enteric Fever in India program completed a multisite surveillance study. However, data on subnational variation in typhoid fever are needed to guide the introduction of the new typhoid conjugate vaccine in India. METHODS: We applied a geospatial statistical model to estimate typhoid fever incidence across India, using data from 4 cohort studies and 6 hybrid surveillance sites from October 2017 to March 2020. We collected geocoded data from the Demographic and Health Survey in India as predictors of typhoid fever incidence. We used a log linear regression model to predict a primary outcome of typhoid incidence. RESULTS: We estimated a national incidence of typhoid fever in India of 360 cases (95% confidence interval [CI], 297–494) per 100 000 person-years, with an annual estimate of 4.5 million cases (95% CI, 3.7–6.1 million) and 8930 deaths (95% CI, 7360–12 260), assuming a 0.2% case-fatality rate. We found substantial geographic variation of typhoid incidence across the country, with higher incidence in southwestern states and urban centers in the north. CONCLUSIONS: There is a large burden of typhoid fever in India with substantial heterogeneity across the country, with higher burden in urban centers. |
format | Online Article Text |
id | pubmed-8892532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88925322022-03-04 Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data Cao, Yanjia Karthikeyan, Arun S Ramanujam, Karthikeyan Raju, Reshma Krishna, Swathi Kumar, Dilesh Ryckman, Theresa Mohan, Venkata Raghava Kang, Gagandeep John, Jacob Andrews, Jason R Lo, Nathan C J Infect Dis Supplement Articles BACKGROUND: Typhoid fever remains a major public health problem in India. Recently, the Surveillance for Enteric Fever in India program completed a multisite surveillance study. However, data on subnational variation in typhoid fever are needed to guide the introduction of the new typhoid conjugate vaccine in India. METHODS: We applied a geospatial statistical model to estimate typhoid fever incidence across India, using data from 4 cohort studies and 6 hybrid surveillance sites from October 2017 to March 2020. We collected geocoded data from the Demographic and Health Survey in India as predictors of typhoid fever incidence. We used a log linear regression model to predict a primary outcome of typhoid incidence. RESULTS: We estimated a national incidence of typhoid fever in India of 360 cases (95% confidence interval [CI], 297–494) per 100 000 person-years, with an annual estimate of 4.5 million cases (95% CI, 3.7–6.1 million) and 8930 deaths (95% CI, 7360–12 260), assuming a 0.2% case-fatality rate. We found substantial geographic variation of typhoid incidence across the country, with higher incidence in southwestern states and urban centers in the north. CONCLUSIONS: There is a large burden of typhoid fever in India with substantial heterogeneity across the country, with higher burden in urban centers. Oxford University Press 2021-11-23 /pmc/articles/PMC8892532/ /pubmed/35238365 http://dx.doi.org/10.1093/infdis/jiab187 Text en © The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Supplement Articles Cao, Yanjia Karthikeyan, Arun S Ramanujam, Karthikeyan Raju, Reshma Krishna, Swathi Kumar, Dilesh Ryckman, Theresa Mohan, Venkata Raghava Kang, Gagandeep John, Jacob Andrews, Jason R Lo, Nathan C Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data |
title | Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data |
title_full | Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data |
title_fullStr | Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data |
title_full_unstemmed | Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data |
title_short | Geographic Pattern of Typhoid Fever in India: A Model-Based Estimate of Cohort and Surveillance Data |
title_sort | geographic pattern of typhoid fever in india: a model-based estimate of cohort and surveillance data |
topic | Supplement Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892532/ https://www.ncbi.nlm.nih.gov/pubmed/35238365 http://dx.doi.org/10.1093/infdis/jiab187 |
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