Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China.
Both pulmonary tuberculosis (PTB) and intestinal helminth infection (IHI) affect millions of individuals every year in China. However, the national-scale estimation of prevalence predictors and prevalence maps for these diseases, as well as co-endemic relative risk (RR) maps of both diseases' p...
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ftdoajarticles:oai:doaj.org/article:19dd9756bb15478ba7606d8d788a0265 2023-05-15T15:16:36+02:00 Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. Xin-Xu Li Zhou-Peng Ren Li-Xia Wang Hui Zhang Shi-Wen Jiang Jia-Xu Chen Jin-Feng Wang Xiao-Nong Zhou 2016-03-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0004580 https://doaj.org/article/19dd9756bb15478ba7606d8d788a0265 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC4835095?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0004580 https://doaj.org/article/19dd9756bb15478ba7606d8d788a0265 PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004580 (2016) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2016 ftdoajarticles https://doi.org/10.1371/journal.pntd.0004580 2022-12-31T15:54:47Z Both pulmonary tuberculosis (PTB) and intestinal helminth infection (IHI) affect millions of individuals every year in China. However, the national-scale estimation of prevalence predictors and prevalence maps for these diseases, as well as co-endemic relative risk (RR) maps of both diseases' prevalence are not well developed. There are co-endemic, high prevalence areas of both diseases, whose delimitation is essential for devising effective control strategies. Bayesian geostatistical logistic regression models including socio-economic, climatic, geographical and environmental predictors were fitted separately for active PTB and IHI based on data from the national surveys for PTB and major human parasitic diseases that were completed in 2010 and 2004, respectively. Prevalence maps and co-endemic RR maps were constructed for both diseases by means of Bayesian Kriging model and Bayesian shared component model capable of appraising the fraction of variance of spatial RRs shared by both diseases, and those specific for each one, under an assumption that there are unobserved covariates common to both diseases. Our results indicate that gross domestic product (GDP) per capita had a negative association, while rural regions, the arid and polar zones and elevation had positive association with active PTB prevalence; for the IHI prevalence, GDP per capita and distance to water bodies had a negative association, the equatorial and warm zones and the normalized difference vegetation index had a positive association. Moderate to high prevalence of active PTB and low prevalence of IHI were predicted in western regions, low to moderate prevalence of active PTB and low prevalence of IHI were predicted in north-central regions and the southeast coastal regions, and moderate to high prevalence of active PTB and high prevalence of IHI were predicted in the south-western regions. Thus, co-endemic areas of active PTB and IHI were located in the south-western regions of China, which might be determined by socio-economic factors, ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 10 4 e0004580 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Xin-Xu Li Zhou-Peng Ren Li-Xia Wang Hui Zhang Shi-Wen Jiang Jia-Xu Chen Jin-Feng Wang Xiao-Nong Zhou Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Both pulmonary tuberculosis (PTB) and intestinal helminth infection (IHI) affect millions of individuals every year in China. However, the national-scale estimation of prevalence predictors and prevalence maps for these diseases, as well as co-endemic relative risk (RR) maps of both diseases' prevalence are not well developed. There are co-endemic, high prevalence areas of both diseases, whose delimitation is essential for devising effective control strategies. Bayesian geostatistical logistic regression models including socio-economic, climatic, geographical and environmental predictors were fitted separately for active PTB and IHI based on data from the national surveys for PTB and major human parasitic diseases that were completed in 2010 and 2004, respectively. Prevalence maps and co-endemic RR maps were constructed for both diseases by means of Bayesian Kriging model and Bayesian shared component model capable of appraising the fraction of variance of spatial RRs shared by both diseases, and those specific for each one, under an assumption that there are unobserved covariates common to both diseases. Our results indicate that gross domestic product (GDP) per capita had a negative association, while rural regions, the arid and polar zones and elevation had positive association with active PTB prevalence; for the IHI prevalence, GDP per capita and distance to water bodies had a negative association, the equatorial and warm zones and the normalized difference vegetation index had a positive association. Moderate to high prevalence of active PTB and low prevalence of IHI were predicted in western regions, low to moderate prevalence of active PTB and low prevalence of IHI were predicted in north-central regions and the southeast coastal regions, and moderate to high prevalence of active PTB and high prevalence of IHI were predicted in the south-western regions. Thus, co-endemic areas of active PTB and IHI were located in the south-western regions of China, which might be determined by socio-economic factors, ... |
format |
Article in Journal/Newspaper |
author |
Xin-Xu Li Zhou-Peng Ren Li-Xia Wang Hui Zhang Shi-Wen Jiang Jia-Xu Chen Jin-Feng Wang Xiao-Nong Zhou |
author_facet |
Xin-Xu Li Zhou-Peng Ren Li-Xia Wang Hui Zhang Shi-Wen Jiang Jia-Xu Chen Jin-Feng Wang Xiao-Nong Zhou |
author_sort |
Xin-Xu Li |
title |
Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. |
title_short |
Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. |
title_full |
Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. |
title_fullStr |
Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. |
title_full_unstemmed |
Co-endemicity of Pulmonary Tuberculosis and Intestinal Helminth Infection in the People's Republic of China. |
title_sort |
co-endemicity of pulmonary tuberculosis and intestinal helminth infection in the people's republic of china. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2016 |
url |
https://doi.org/10.1371/journal.pntd.0004580 https://doaj.org/article/19dd9756bb15478ba7606d8d788a0265 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004580 (2016) |
op_relation |
http://europepmc.org/articles/PMC4835095?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0004580 https://doaj.org/article/19dd9756bb15478ba7606d8d788a0265 |
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https://doi.org/10.1371/journal.pntd.0004580 |
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PLOS Neglected Tropical Diseases |
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10 |
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container_start_page |
e0004580 |
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