Evidence map›Paper›PMID 40433647›Full record

ArticleTropical parasitology

The intersection of geography and sociocultural factors in malaria epidemiology: A study of 6 years (2018-2023) surveillance data from three districts of Maharashtra, India, with diverse landscape.

Neha Sunil Bawankar, Dilip Shrirang Gedam, Prashant P Meshram, Swati M Bhise, Nitin S Kapse, Sunil L Madavi, Narendra M Bahirwar, Vinod S Chavhan, Aditi A Tyadi

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Article in Tropical parasitology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Neha Sunil BawankarIndira Gandhi Government Medical College, Nagpur, Maharashtra, India.
Dilip Shrirang GedamIndira Gandhi Government Medical College, Nagpur, Maharashtra, India.
Prashant P MeshramIndira Gandhi Government Medical College, Nagpur, Maharashtra, India.
Swati M BhiseIndira Gandhi Government Medical College, Nagpur, Maharashtra, India.
Nitin S KapseDistrict Training Center, District Health Office, Gondia, Maharashtra, India.
Sunil L MadaviDistrict Malaria Office, Gadchiroli, Maharashtra, India.
Narendra M BahirwarPublic Health Department, Nagpur Municipal Corporation, Nagpur, Maharashtra, India.
Vinod S ChavhanDistrict Malaria Office, Gondia, Maharashtra, India.
Aditi A TyadiDistrict Malaria Office, Nagpur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objectives: Outside of Africa, India is the main contributor to malaria-related morbidity and mortality in Southeast Asia. This retrospective study included 6 years of malaria data (2018-2023) from three districts in Maharashtra: Gadchiroli, Gondia, and Nagpur. The study examines the patterns of malaria, the distribution of Materials and Methods: Six years of data on all malaria indicators collected under NVBDCP were taken from the respective districts. The sociocultural behavior of the population was analyzed by visiting the study area. Results: Gadchiroli, primarily a hilly/tribal area, had the highest number of malaria cases, with the slide positivity rate (SPR) and annual parasite index reaching their peak in 2021. On the other hand, Gondia and Nagpur had consistently low levels of malaria transmission, with minimal fluctuations in key epidemiological indicators. The analysis demonstrates the significant differences in malaria transmission across various landscapes, with the highest SPR observed in tribal and hilly areas, followed by rural areas, and the lowest in urban regions. Conclusion: The study emphasizes the need for targeted interventions in high-risk areas, especially in tribal regions, where sociocultural factors and ecological conditions contribute to sustained transmission. The findings highlight the importance of ongoing surveillance, culturally sensitive education, and advanced diagnostic tools to eliminate malaria in India by 2030.

Indexed as

Maharashtramalariasociocultural factorstrendstribal

Identifiers

PMID40433647
PMCPMC12105770

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