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.
TY - JOUR
T1 - Modeling the risk of malaria for travelers to areas with stable malaria transmission.
AU - Massad,Eduardo,
AU - Behrens,Ronald H,
AU - Burattini,Marcelo N,
AU - Coutinho,Francisco A B,
Y1 - 2009/12/16/
PY - 2009/06/18/received
PY - 2009/12/16/accepted
PY - 2009/12/18/entrez
PY - 2009/12/18/pubmed
PY - 2010/2/18/medline
SP - 296
EP - 296
JF - Malaria journal
JO - Malar J
VL - 8
N2 - 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.
SN - 1475-2875
UR - https://www.unboundmedicine.com/medline/citation/20015392/Modeling_the_risk_of_malaria_for_travelers_to_areas_with_stable_malaria_transmission_
L2 - https://malariajournal.biomedcentral.com/articles/10.1186/1475-2875-8-296
DB - PRIME
DP - Unbound Medicine
ER -