ArticlePloS one2015
Climate drivers on malaria transmission in Arunachal Pradesh, India.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Epidemiology of malaria in Chhattisgarh, India: a surveillance data analysis, 2015-2023.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025Article
- Relationships between transmission of malaria in Africa and climate factors.Scientific reports · 2022Article
- Article
- Climate based malaria forecasting system for Andhra Pradesh, India.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020Article
- Modeling an association between malaria cases and climate variables for Keonjhar district of Odisha, India: a Bayesian approach.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020Article
- Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions.International journal of environmental research and public health · 2019Article
- The 2015-2016 malaria epidemic in Northern Uganda; What are the implications for malaria control interventions?Acta tropica · 2018Article
- Malaria transmission potential could be reduced with current and future climate change.Scientific reports · 2016Article
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Authors and funding
5 authors.
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Abstract
The present study was conducted during the years 2006 to 2012 and provides information on prevalence of malaria and its regulation with effect to various climatic factors in East Siang district of Arunachal Pradesh, India. Correlation analysis, Principal Component Analysis and Hotelling's T² statistics models are adopted to understand the effect of weather variables on malaria transmission. The epidemiological study shows that the prevalence of malaria is mostly caused by the parasite Plasmodium vivax followed by Plasmodium falciparum. It is noted that, the intensity of malaria cases declined gradually from the year 2006 to 2012. The transmission of malaria observed was more during the rainy season, as compared to summer and winter seasons. Further, the data analysis study with Principal Component Analysis and Hotelling's T² statistic has revealed that the climatic variables such as temperature and rainfall are the most influencing factors for the high rate of malaria transmission in East Siang district of Arunachal Pradesh.
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