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Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014

Although immigrants who visit friends and relatives (VFRs) account for most of the travel-acquired malaria cases in the United States, there is limited evidence on community-level risk factors and best practices for prevention appropriate for various VFR groups. Using 2010–2014 malaria case reports,...

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Autores principales: Lee, Elizabeth H., Miller, Robin H., Masuoka, Penny, Schiffman, Elizabeth, Wanduragala, Danushka M., DeFraites, Robert, Dunlop, Stephen J., Stauffer, William M., Hickey, Patrick W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society of Tropical Medicine and Hygiene 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6159573/
https://www.ncbi.nlm.nih.gov/pubmed/30062987
http://dx.doi.org/10.4269/ajtmh.18-0357
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author Lee, Elizabeth H.
Miller, Robin H.
Masuoka, Penny
Schiffman, Elizabeth
Wanduragala, Danushka M.
DeFraites, Robert
Dunlop, Stephen J.
Stauffer, William M.
Hickey, Patrick W.
author_facet Lee, Elizabeth H.
Miller, Robin H.
Masuoka, Penny
Schiffman, Elizabeth
Wanduragala, Danushka M.
DeFraites, Robert
Dunlop, Stephen J.
Stauffer, William M.
Hickey, Patrick W.
author_sort Lee, Elizabeth H.
collection PubMed
description Although immigrants who visit friends and relatives (VFRs) account for most of the travel-acquired malaria cases in the United States, there is limited evidence on community-level risk factors and best practices for prevention appropriate for various VFR groups. Using 2010–2014 malaria case reports, sociodemographic census data, and health services data, we explored and mapped community-level characteristics to understand who is at risk and where imported malaria infections occur in Minnesota. We examined associations with malaria incidence using Poisson and negative binomial regression. Overall, mean incidence was 0.4 cases per 1,000 sub-Saharan African (SSA)–born in communities reporting malaria, with cases concentrated in two areas of Minneapolis–St. Paul. We found moderate and positive associations between imported malaria and counts of SSA- and Asian-born populations, respectively. Our findings may inform future studies to understand the knowledge, attitudes, and practices of VFR travelers and facilitate and focus intervention strategies to reduce imported malaria in the United States.
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spelling pubmed-61595732018-10-15 Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014 Lee, Elizabeth H. Miller, Robin H. Masuoka, Penny Schiffman, Elizabeth Wanduragala, Danushka M. DeFraites, Robert Dunlop, Stephen J. Stauffer, William M. Hickey, Patrick W. Am J Trop Med Hyg Articles Although immigrants who visit friends and relatives (VFRs) account for most of the travel-acquired malaria cases in the United States, there is limited evidence on community-level risk factors and best practices for prevention appropriate for various VFR groups. Using 2010–2014 malaria case reports, sociodemographic census data, and health services data, we explored and mapped community-level characteristics to understand who is at risk and where imported malaria infections occur in Minnesota. We examined associations with malaria incidence using Poisson and negative binomial regression. Overall, mean incidence was 0.4 cases per 1,000 sub-Saharan African (SSA)–born in communities reporting malaria, with cases concentrated in two areas of Minneapolis–St. Paul. We found moderate and positive associations between imported malaria and counts of SSA- and Asian-born populations, respectively. Our findings may inform future studies to understand the knowledge, attitudes, and practices of VFR travelers and facilitate and focus intervention strategies to reduce imported malaria in the United States. The American Society of Tropical Medicine and Hygiene 2018-10 2018-07-30 /pmc/articles/PMC6159573/ /pubmed/30062987 http://dx.doi.org/10.4269/ajtmh.18-0357 Text en © The American Society of Tropical Medicine and Hygiene This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://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 Articles
Lee, Elizabeth H.
Miller, Robin H.
Masuoka, Penny
Schiffman, Elizabeth
Wanduragala, Danushka M.
DeFraites, Robert
Dunlop, Stephen J.
Stauffer, William M.
Hickey, Patrick W.
Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014
title Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014
title_full Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014
title_fullStr Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014
title_full_unstemmed Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014
title_short Predicting Risk of Imported Disease with Demographics: Geospatial Analysis of Imported Malaria in Minnesota, 2010–2014
title_sort predicting risk of imported disease with demographics: geospatial analysis of imported malaria in minnesota, 2010–2014
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6159573/
https://www.ncbi.nlm.nih.gov/pubmed/30062987
http://dx.doi.org/10.4269/ajtmh.18-0357
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