Spatiotemporal analysis of within-country imported malaria in Brazilian municipalities, 2004–2022
Nicholas J Arisco,
Cassio Peterka and
Marcia C Castro
PLOS Global Public Health, 2024, vol. 4, issue 7, 1-17
Abstract:
Human mobility has challenged malaria elimination efforts and remains difficult to routinely track. In Brazil, administrative records from the Ministry of Health allow monitoring of mobility locally and internationally. Although most imported malaria cases are between municipalities in Brazil, detailed knowledge of patterns of mobility is limited. Here, we address this gap by quantifying and describing patterns of malaria-infected individuals across the Amazon. We used network analysis, spatial clustering, and linear models to quantify and characterize the movement of malaria cases in Brazil between 2004 and 2022. We identified sources and sinks of malaria within and between states. We found that between-state movement of cases has become proportionally more important than within-state, that source clusters persisted longer than sink clusters, that movement of cases into sinks was seasonal while movement out of sources was not, and that importation is an impediment for subnational elimination in many municipalities. We elucidate the vast travel networks of malaria infected individuals that characterize the Amazon region. Uncovering patterns of malaria case mobility is vital for effective microstratification within Brazil. Our results have implications for intervention stratification across Brazil in line with the country’s goal of malaria elimination by 2035.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/globalpublichealth/artic ... journal.pgph.0003452 (text/html)
https://journals.plos.org/globalpublichealth/artic ... 03452&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pgph00:0003452
DOI: 10.1371/journal.pgph.0003452
Access Statistics for this article
More articles in PLOS Global Public Health from Public Library of Science
Bibliographic data for series maintained by globalpubhealth ().