Modeling the risk of malaria for travelers to areas with stable malaria transmission

Abstract Background Malaria is an important threat to travelers visiting endemic regions. The risk of acquiring malaria is complex and a number of factors including transmission intensity, duration of exposure, season of the year and use of chemoprophylaxis have to be taken into account estimating r...

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Published in:Malaria Journal
Main Authors: Burattini Marcelo N, Behrens Ronald H, Massad Eduardo, Coutinho Francisco AB
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2009
Subjects:
Online Access:https://doi.org/10.1186/1475-2875-8-296
https://doaj.org/article/23d8d5611dc44cbe81f120dc38d7429d
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spelling ftdoajarticles:oai:doaj.org/article:23d8d5611dc44cbe81f120dc38d7429d 2023-05-15T15:05:33+02:00 Modeling the risk of malaria for travelers to areas with stable malaria transmission Burattini Marcelo N Behrens Ronald H Massad Eduardo Coutinho Francisco AB 2009-12-01T00:00:00Z https://doi.org/10.1186/1475-2875-8-296 https://doaj.org/article/23d8d5611dc44cbe81f120dc38d7429d EN eng BMC http://www.malariajournal.com/content/8/1/296 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-8-296 1475-2875 https://doaj.org/article/23d8d5611dc44cbe81f120dc38d7429d Malaria Journal, Vol 8, Iss 1, p 296 (2009) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2009 ftdoajarticles https://doi.org/10.1186/1475-2875-8-296 2022-12-31T08:50:52Z Abstract Background Malaria is an important threat to travelers visiting endemic regions. The risk of acquiring malaria is complex and a number of factors including transmission intensity, duration of exposure, season of the year and use of chemoprophylaxis have to be taken into account estimating risk. Materials and methods A mathematical model was developed to estimate the risk of non-immune individual acquiring falciparum malaria when traveling to the Amazon region of Brazil. The risk of malaria infection to travelers was calculated as a function of duration of exposure and season of arrival. Results The results suggest significant variation of risk for non-immune travelers depending on arrival season, duration of the visit and transmission intensity. The calculated risk for visitors staying longer than 4 months during peak transmission was 0.5% per visit. Conclusions Risk estimates based on mathematical modeling based on accurate data can be a valuable tool in assessing risk/benefits and cost/benefits when deciding on the value of interventions for travelers to malaria endemic regions. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 8 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
Burattini Marcelo N
Behrens Ronald H
Massad Eduardo
Coutinho Francisco AB
Modeling the risk of malaria for travelers to areas with stable malaria transmission
topic_facet Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
description Abstract Background Malaria is an important threat to travelers visiting endemic regions. The risk of acquiring malaria is complex and a number of factors including transmission intensity, duration of exposure, season of the year and use of chemoprophylaxis have to be taken into account estimating risk. Materials and methods A mathematical model was developed to estimate the risk of non-immune individual acquiring falciparum malaria when traveling to the Amazon region of Brazil. The risk of malaria infection to travelers was calculated as a function of duration of exposure and season of arrival. Results The results suggest significant variation of risk for non-immune travelers depending on arrival season, duration of the visit and transmission intensity. The calculated risk for visitors staying longer than 4 months during peak transmission was 0.5% per visit. Conclusions Risk estimates based on mathematical modeling based on accurate data can be a valuable tool in assessing risk/benefits and cost/benefits when deciding on the value of interventions for travelers to malaria endemic regions.
format Article in Journal/Newspaper
author Burattini Marcelo N
Behrens Ronald H
Massad Eduardo
Coutinho Francisco AB
author_facet Burattini Marcelo N
Behrens Ronald H
Massad Eduardo
Coutinho Francisco AB
author_sort Burattini Marcelo N
title Modeling the risk of malaria for travelers to areas with stable malaria transmission
title_short Modeling the risk of malaria for travelers to areas with stable malaria transmission
title_full Modeling the risk of malaria for travelers to areas with stable malaria transmission
title_fullStr Modeling the risk of malaria for travelers to areas with stable malaria transmission
title_full_unstemmed Modeling the risk of malaria for travelers to areas with stable malaria transmission
title_sort modeling the risk of malaria for travelers to areas with stable malaria transmission
publisher BMC
publishDate 2009
url https://doi.org/10.1186/1475-2875-8-296
https://doaj.org/article/23d8d5611dc44cbe81f120dc38d7429d
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Malaria Journal, Vol 8, Iss 1, p 296 (2009)
op_relation http://www.malariajournal.com/content/8/1/296
https://doaj.org/toc/1475-2875
doi:10.1186/1475-2875-8-296
1475-2875
https://doaj.org/article/23d8d5611dc44cbe81f120dc38d7429d
op_doi https://doi.org/10.1186/1475-2875-8-296
container_title Malaria Journal
container_volume 8
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