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Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability

OBJECTIVE: To use routinely collected data, with the addition of geographic information and census data, to identify local hot spots of rates of reported tuberculosis cases. DESIGN: Residential locations of tuberculosis cases identified from eight public health facilities in Lima, Peru (2013–2018) w...

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Autores principales: Brooks, Meredith B., Millones, Ana Karina, Puma, Daniela, Contreras, Carmen, Jimenez, Judith, Tzelios, Christine, Jenkins, Helen E., Yuen, Courtney M., Keshavjee, Salmaan, Lecca, Leonid, Becerra, Mercedes C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947086/
https://www.ncbi.nlm.nih.gov/pubmed/35324987
http://dx.doi.org/10.1371/journal.pone.0265826
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author Brooks, Meredith B.
Millones, Ana Karina
Puma, Daniela
Contreras, Carmen
Jimenez, Judith
Tzelios, Christine
Jenkins, Helen E.
Yuen, Courtney M.
Keshavjee, Salmaan
Lecca, Leonid
Becerra, Mercedes C.
author_facet Brooks, Meredith B.
Millones, Ana Karina
Puma, Daniela
Contreras, Carmen
Jimenez, Judith
Tzelios, Christine
Jenkins, Helen E.
Yuen, Courtney M.
Keshavjee, Salmaan
Lecca, Leonid
Becerra, Mercedes C.
author_sort Brooks, Meredith B.
collection PubMed
description OBJECTIVE: To use routinely collected data, with the addition of geographic information and census data, to identify local hot spots of rates of reported tuberculosis cases. DESIGN: Residential locations of tuberculosis cases identified from eight public health facilities in Lima, Peru (2013–2018) were linked to census data to calculate neighborhood-level annual case rates. Heat maps of tuberculosis case rates by neighborhood were created. Local indicators of spatial autocorrelation, Moran’s I, were used to identify where in the study area spatial clusters and outliers of tuberculosis case rates were occurring. Age- and sex-stratified case rates were also assessed. RESULTS: We identified reports of 1,295 TB cases across 74 neighborhoods during the five-year study period, for an average annual rate of 124.2 reported TB cases per 100,000 population. In evaluating case rates by individual neighborhood, we identified a median rate of reported cases of 123.6 and a range from 0 to 800 cases per 100,000 population. Individuals aged 15–44 years old and men had higher case rates than other age groups and women. Locations of both hot and cold spots overlapped across age- and gender-specific maps. CONCLUSIONS: There is significant geographic heterogeneity in rates of reported TB cases and evident hot and cold spots within the study area. Characterization of the spatial distribution of these rates and local hot spots may be one practical tool to inform the work of local coalitions to target TB interventions in their zones.
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spelling pubmed-89470862022-03-25 Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability Brooks, Meredith B. Millones, Ana Karina Puma, Daniela Contreras, Carmen Jimenez, Judith Tzelios, Christine Jenkins, Helen E. Yuen, Courtney M. Keshavjee, Salmaan Lecca, Leonid Becerra, Mercedes C. PLoS One Research Article OBJECTIVE: To use routinely collected data, with the addition of geographic information and census data, to identify local hot spots of rates of reported tuberculosis cases. DESIGN: Residential locations of tuberculosis cases identified from eight public health facilities in Lima, Peru (2013–2018) were linked to census data to calculate neighborhood-level annual case rates. Heat maps of tuberculosis case rates by neighborhood were created. Local indicators of spatial autocorrelation, Moran’s I, were used to identify where in the study area spatial clusters and outliers of tuberculosis case rates were occurring. Age- and sex-stratified case rates were also assessed. RESULTS: We identified reports of 1,295 TB cases across 74 neighborhoods during the five-year study period, for an average annual rate of 124.2 reported TB cases per 100,000 population. In evaluating case rates by individual neighborhood, we identified a median rate of reported cases of 123.6 and a range from 0 to 800 cases per 100,000 population. Individuals aged 15–44 years old and men had higher case rates than other age groups and women. Locations of both hot and cold spots overlapped across age- and gender-specific maps. CONCLUSIONS: There is significant geographic heterogeneity in rates of reported TB cases and evident hot and cold spots within the study area. Characterization of the spatial distribution of these rates and local hot spots may be one practical tool to inform the work of local coalitions to target TB interventions in their zones. Public Library of Science 2022-03-24 /pmc/articles/PMC8947086/ /pubmed/35324987 http://dx.doi.org/10.1371/journal.pone.0265826 Text en © 2022 Brooks et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Brooks, Meredith B.
Millones, Ana Karina
Puma, Daniela
Contreras, Carmen
Jimenez, Judith
Tzelios, Christine
Jenkins, Helen E.
Yuen, Courtney M.
Keshavjee, Salmaan
Lecca, Leonid
Becerra, Mercedes C.
Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability
title Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability
title_full Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability
title_fullStr Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability
title_full_unstemmed Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability
title_short Mapping local hot spots with routine tuberculosis data: A pragmatic approach to identify spatial variability
title_sort mapping local hot spots with routine tuberculosis data: a pragmatic approach to identify spatial variability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947086/
https://www.ncbi.nlm.nih.gov/pubmed/35324987
http://dx.doi.org/10.1371/journal.pone.0265826
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