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Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions

Author

Listed:
  • Soma Sarkar

    (ICMR-National Institute of Malaria Research, Dwarka sector 8, Delhi 110077, India)

  • Vinay Gangare

    (ICMR-National Institute of Malaria Research, Dwarka sector 8, Delhi 110077, India)

  • Poonam Singh

    (ICMR-National Institute of Malaria Research, Dwarka sector 8, Delhi 110077, India)

  • Ramesh C. Dhiman

    (ICMR-National Institute of Malaria Research, Dwarka sector 8, Delhi 110077, India)

Abstract

The future implications of climate change on malaria transmission at the global level have already been reported, however such evidences are scarce and limited in India. Here our study aims to assess, identify and map the potential effects of climate change on Plasmodium vivax ( Pv ) and Plasmodium falciparum ( Pf ) malaria transmission in India. A Fuzzy-based Climate Suitability Malaria Transmission (FCSMT) model under the GIS environment was generated using Temperature and Relative Humidity data, extracted from CORDEX South Asia for Baseline (1976–2005) and RCP 4.5 scenario for future projection by the 2030s (2021–2040). National malaria data were used at the model analysis stage. Model outcomes suggest that climate change may significantly increase the spatial spread of Pv and Pf malaria with a numerical increase in the transmission window’s (TW) months, and a shift in the months of transmission. Some areas of the western Himalayan states are likely to have new foci of Pv malaria transmission. Interior parts of some southern and eastern states are likely to become more suitable for Pf malaria transmission. Study has also identified the regions with a reduction in transmission months by the 2030s, leading to unstable malaria, and having the potential for malaria outbreaks.

Suggested Citation

  • Soma Sarkar & Vinay Gangare & Poonam Singh & Ramesh C. Dhiman, 2019. "Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3474-:d:268377
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    References listed on IDEAS

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    1. B. A. Cash & X. Rodó & J. Ballester & M. J. Bouma & A. Baeza & R. Dhiman & M. Pascual, 2013. "Malaria epidemics and the influence of the tropical South Atlantic on the Indian monsoon," Nature Climate Change, Nature, vol. 3(5), pages 502-507, May.
    2. Malte Meinshausen & S. Smith & K. Calvin & J. Daniel & M. Kainuma & J-F. Lamarque & K. Matsumoto & S. Montzka & S. Raper & K. Riahi & A. Thomson & G. Velders & D.P. Vuuren, 2011. "The RCP greenhouse gas concentrations and their extensions from 1765 to 2300," Climatic Change, Springer, vol. 109(1), pages 213-241, November.
    3. Suryanaryana Murty Upadhyayula & Srinivasa Rao Mutheneni & Sumana Chenna & Vaideesh Parasaram & Madhusudhan Rao Kadiri, 2015. "Climate Drivers on Malaria Transmission in Arunachal Pradesh, India," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-17, March.
    4. Joeri Rogelj & Malte Meinshausen & Reto Knutti, 2012. "Global warming under old and new scenarios using IPCC climate sensitivity range estimates," Nature Climate Change, Nature, vol. 2(4), pages 248-253, April.
    5. Bhadra, Anindya & Ionides, Edward L. & Laneri, Karina & Pascual, Mercedes & Bouma, Menno & Dhiman, Ramesh C., 2011. "Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 440-451.
    6. Simon I. Hay & Jonathan Cox & David J. Rogers & Sarah E. Randolph & David I. Stern & G. Dennis Shanks & Monica F. Myers & Robert W. Snow, 2002. "Climate change and the resurgence of malaria in the East African highlands," Nature, Nature, vol. 415(6874), pages 905-909, February.
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