Missing links of melioidosis in India: a cross-sectional analysis of case reports, agrometeorological and socioeconomic factors.

ABSTRACT: Melioidosis, an emerging tropical infectious disease and a global threat, lacks a disease prediction model owing to the limited data on case incidences and associated factors. This article focuses on spatial data analysis of melioidosis patients in India, a tropical country considered to be endemic for the disease, to identify gaps in disease reporting. In this study, we screened over 20,000 articles and identified 1,694 patients diagnosed with melioidosis in India between 1953 and 2023. We performed a correlative analysis of patient profiles, case-reporting centres, common misdiagnosed etiologies, susceptible populations, agrometeorological and socioeconomic factors. Our findings suggest that melioidosis can affect individuals of all ages, with a higher prevalence among farmers and indivi

SUBMITTER: Jha S 

PROVIDER: S-EPMC12680645 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature