Optimizing age-structured sampling for estimating the seroconversion rate in malaria seroepidemiology: a simulation study.

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Bibliographic Details
Title: Optimizing age-structured sampling for estimating the seroconversion rate in malaria seroepidemiology: a simulation study.
Authors: Ko YK; Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden. yongra.ko@ki.se.; Department of Vector Ecology and Environment, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan. yongra.ko@ki.se., Li S; Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden., Britton T; Department of Mathematics, Stockholm University, Stockholm, Sweden., Kagaya W; Department of Ecoepidemiology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan., Kaneko A; Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.; Osaka International Research Center for Infectious Diseases, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Source: Scientific reports [Sci Rep] 2026 May 30. Date of Electronic Publication: 2026 May 30.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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