Malaria Risk Mapping in Northern Satpura Region of Jalgaon District: A GIS and Remote Sensing Approach

Parag Choudhary; S C Advitot

doi:10.53989/bu.ge.v13i1.6

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Geo-Eye

DOI: 10.53989/bu.ge.v13i1.6

Year: 2024, Volume: 13, Issue: 1, Pages: 1-8

Original Article

Malaria Risk Mapping in Northern Satpura Region of Jalgaon District: A GIS and Remote Sensing Approach

Parag Choudhary ¹ , S C Advitot ^2,*

¹ Ph.D Research Scholar, Department of Geography, CBK’s B.Sci, R.V.Comm. & R.J. Arts College, Maharashtra, India

² Principal, Department of Geography, CBK’s B.Sci, R.V.Comm. & R.J. Arts College, Akkalkot, Maharashtra, India

*Corresponding author email: [email protected]

Received Date:24 February 2024, Accepted Date:30 November -0001

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This document provides an analysis of the prevalence and transmission factors of malaria in the Satpura region of Maharashtra, India. The study utilizes multi-criteria assessment and remote sensing techniques to create a malaria risk map that integrates various environmental factors. The key environmental parameters affecting malaria transmission include land use/cover, elevation, slope, distance to the stream, and breeding sites. The findings highlight the importance of addressing barriers such as misconceptions about malaria, low use of preventive measures, and inadequate malaria prevention practices in order to enhance the effectiveness of control interventions. The study concludes that remote sensing is a valuable tool for targeting malaria control interventions and optimizing resource allocation.

Keywords

Malaria, Prevalence, Transmission, MultiCriteria Assessment, Remote Sensing, Environmental Factors, Control Interventions

References

Ashenafi M. Design and water management of irrigation systems to control breeding of Anopheles mosquitoes. Case study: Hara irrigation project. Arba Minch, Ethiopia; Wageningen. The Netherlands. 2003.
Fikadu M, Ashenafi E. Malaria: An Overview. 2023. Available from: https://doi.org/10.2147/IDR.S405668
Valecha N, Staedke S, Filler S, Mpimbaza A, Greenwood B, Chandramohan D. Malaria-attributed death rates in India. Elsevier BV. 2011. Available from: https://dx.doi.org/10.1016/s0140-6736(11)60380-2
Robert V, Duchemin JB, Macintyre K, Warren M, Keating J, Beier JC, et al. Malaria transmission in urban sub-Saharan Africa. The American Journal of Tropical Medicine and Hygiene. 2003;68(2):169–176. Available from: https://dx.doi.org/10.4269/ajtmh.2003.68.169
Shukla RP, Pandey AC, Mathur A. Investigation of malaria outbreak in Rajasthan. Indian journal of malariology. 1995;32:119–147.
Srivastava A, Nagpal BN, Saxena R, Wadhwa T, Mohan S, Siroha GP, et al. Malaria epidemicity of Mewat region. District Gurgaon. 2004;86:1297–1303. Available from: https://www.jstor.org/stable/24109942
Wijayanti EPN, Martini M, Hestiningsih R, Wuryanto MA, Yuliawati S, Mawarni A. Case study of malaria patients: distribution of cases and maps of Anopheles sp. breeding place in Kaligesing sub-district, Purworejo district. Journal of Physics: Conference Series. 2020;1524(1):012122. Available from: https://dx.doi.org/10.1088/1742-6596/1524/1/012122
Sharma VP. Malaria: cost to India and future trends. 1996.
Gupta I, Chowdhury S. Economic burden of malaria in India: The need for effective spending. WHO South-East Asia Journal of Public Health. 2014;3:95–102. Available from: https://doi.org/10.4103/2224-3151.206894
Dash AP, Valecha N, Anvikar AR, Kumar A. Malaria in India: Challenges and opportunities. Journal of Biosciences. 2008;33:583–592. Available from: https://doi.org/10.1007/s12038-008-0076-x
Hay SI, Snow RW, Snow RW, Rogers DJ. From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. Parasitology today. 1998;14(8):306–319. Available from: https://doi.org/10.1016/s0169-4758(98)01285-x
Padidar M, Safavi KE. Using remote sensing for risk mapping of malaria: A review of remote sensing approaches in environment. 2nd International Conference on Chemical. 2010;p. 363–366. Available from: https://doi.org/10.1109/ICBEE.2010.5651020
Roberts DR, Rodríguez MH, Rejmánková E, Pope KO, Hm S, Rodríguez-Ramírez A, et al. Overview of field studies for the application of remote sensing to the study of malaria transmission in Tapachula. Preventive Veterinary Medicine. 1991;11:269–275. Available from: https://doi.org/10.1016/S0167-5877(05)80013-3
Moss WJ, Hamapumbu H, Kobayashi T, Shields T, Kamanga A, Clennon JA, et al. Use of remote sensing to identify spatial risk factors for malaria in a region of declining transmission: a cross-sectional and longitudinal community survey. Malaria Journal. 2011;10:163. Available from: https://doi.org/10.1186/1475-2875-10-163
Mushinzimana E, Munga S, Minakawa N. Landscape determinants and remote sensing of mosquito larval habitats in the high land of Kenya. Malaria journal. 2006. Available from: https://doi.org/10.1186/1475-2875-5-13
Shook G. An assessment of Disaster Risk and its Management in Thailand. Disasters. 1997;21(1):77–88. Available from: https://dx.doi.org/10.1111/1467-7717.00045
Manoharan R, Alemu M, Legesse B, Abajihad M. Malaria Hazard and Risk Analysis Using Geospatial Techniques in the Case of Selected Woredas of Jimma Zone. Earth Systems and Environment. 2020;5:115–126. Available from: https://doi.org/10.1007/s41748-020-00170-w
Miheretie AA, Assefa B, Kefyalew T. Identifying Malaria Hazard Areas Using GIS and Multi Criteria: The Case Study at East Gojjam Zone. Ethiopia. 2020.
Abdulahi A, Wudad A, Abajihad M, Mohammed F. Malaria Hazard and Risk Analysis Using GIS and Remote Sensing in Korahey Zone of Somali Regional State. Eastern Ethiopia. 2020.
Fisseha N. Identifying, Mapping and Evaluating Environmental factors Affecting Malaria Transmission Using GIS and RS in Selected Kebeles of Adama district. Oromia Region. AAU. 2008.

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© 2024 Choudhary & Advitot. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.