ArticleScientific reports2022
Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016-2020).
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Gender-responsive infectious disease models: Guidelines and systematic scoping review.Dialogues in health · 2026Review
- Descriptive, Hospital-Based, 10-Year Study of Malaria Transmission in Goa, a Southwest Indian State in the Malaria Elimination Phase.The American journal of tropical medicine and hygiene · 2024Article
- Space-time clusters and co-occurrence of Plasmodium vivax and Plasmodium falciparum malaria in West Bengal, India.Malaria journal · 2024Article
- Geo-environmental factors and the effectiveness of mulberry leaf extract in managing malaria.Scientific reports · 2023Article
- The changing malaria trend and control efforts in Oromia Special zone, Amhara Regional State, North-East Ethiopia.Malaria journal · 2022Article
- A brief review of malaria epidemiological trend in Kermanshah province, Iran, 1986-2014.Journal of medicine and life · 2022Review
- Prevalence of malaria: A 7-year trend analysis from a tertiary care center, Puducherry.Tropical parasitologyArticle
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Authors and funding
23 authors at 12 institutions in 2 countries.
Funding
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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