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Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016-2020). | LitMetric

AI Article Synopsis

  • Purulia, a malaria-affected district in West Bengal, India, was analyzed for malaria cases from 2016 to 2020, revealing significant demographic and geographic trends in infection rates.
  • The study noted a decrease in cases due to the implementation of mass distribution of Long-Lasting Insecticidal Nets (LLINs), with most cases occurring in older males, particularly among Scheduled Tribes.
  • Predictions using an exponential decay model indicate that with continued efforts, 13 blocks in Purulia could achieve malaria-free status by 2025, urging government action to sustain elimination initiatives.

Article Abstract

Purulia is a malaria-prone district in West Bengal, India, with approximately half of the blocks defined as malaria endemic. We analyzed the malaria case in each block of the Purulia district from January 1, 2016, to December 31, 2020. As per the API, 20 blocks of Purulia were assigned to four different categories (0-3) and mapped using ArcGIS software. An exponential decay model was fitted to forecast the trend of malaria cases for each block of Purulia (2021-2025). There was a sharp decrease in total malaria cases and API from 2016 to 2020 due to the mass distribution of LLINs. The majority of cases (72.63%) were found in ≥ 15-year age group. Males were more prone to malaria (60.09%). Malaria was highly prevalent among Scheduled Tribes (48.44%). Six blocks were reported in Category 3 (high risk) and none in Category 0 (no risk) in 2016, while no blocks were determined to be in Category 3, and three blocks were in Category 0 in 2020. The exponential decay model prediction is oriented towards gaining malaria-free status in thirteen blocks of Purulia by 2025. This study will incite the government to uphold and strengthen the current efforts to meet the malaria elimination goals.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755807PMC
http://dx.doi.org/10.1038/s41598-021-04399-xDOI Listing

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