Back

Malaria Stratification Mapping in Thailand to Support Prevention of Re-establishment

Bisanzio, D.; Sudathip, P.; Kitchakarn, S.; Kanjanasuwan, J.; Gopinath, D.; Pinyajeerapat, N.; Sintasath, D.; Shah, J. A.

2023-09-10 infectious diseases
10.1101/2023.09.07.23295227 medRxiv
Show abstract

Thailand aims to eliminate malaria by 2026, with 46 of the countrys 77 provinces already verified as malaria free. However, these provinces remain susceptible to the re-establishment of indigenous transmission that would threaten the national goal. Thus, the country is prioritizing national and subnational prevention of re-establishment (POR) planning while considering the spatial heterogeneity of the remaining malaria caseload. To support POR efforts, a novel non-modeling method produced a malaria stratification map at the tambon (subdistrict) level, incorporating malaria case data, environmental factors, and demographic data. The stratification analysis categorized 7,425 tambons into the following four risk strata: Local Transmission (2.9%), At Risk for Transmission (3.1%), High Risk for Reintroduction (2.9%), and Low Risk for Reintroduction (91.1%). The stratification map will support the national program to target malaria interventions in remaining hotspots and mitigate the risk of transmission in malaria-free areas.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.