{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T14:41:18Z","timestamp":1792680078011,"version":"4.5.0"},"reference-count":39,"publisher":"American Geophysical Union (AGU)","issue":"6","license":[{"start":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T00:00:00Z","timestamp":1750896000000},"content-version":"vor","delay-in-days":25,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014825","name":"Biotechnology Industry Research Assistance Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014825","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["agupubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["GeoHealth"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Tropical and sub\u2010tropical regions mostly provide favorable conditions for the spread of vector\u2010borne diseases especially those transmitted by mosquito vectors. Viral disease outbreaks such as dengue, chikungunya, Japanese encephalitis; and parasitic diseases such as malaria, and filariasis; are common health problems caused by mosquitos. According to the World Health Organization (WHO), globally around 40% of people are at high risk of mosquito\u2010borne diseases (MBD) (WHO Fact\u2010sheets, 2020,\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/vector-borne-diseases\">https:\/\/www.who.int\/news\u2010room\/fact\u2010sheets\/detail\/vector\u2010borne\u2010diseases<\/jats:ext-link>\n                    ). In the present study, Remote Sensing methods integrated with Geographic Information System (GIS) have been used to predict the risk zones for MBD in Cuttack, a district of Odisha, the eastern state of India. The findings of this study could be utilized to develop and implement MBD control and prevention strategies in identified high\u2010risk areas. Under this study, the Landsat\u20108 multispectral temporal images from 2018 to 2021 were used to identify and demarcate the water\u2010logged areas and sites favorable for mosquito breeding. The goal is to identify risk zones for MBD using different indices such as Normalized Difference Water Index, Normalized Difference Moisture Index, Normalized Difference Vegetation Index, and Land Surface Temperature by evaluating water, moisture, vegetation, and temperature parameters. Applying Arc GIS software analysis models,we found 11,730.07 Ha. as a high\u2010risk zone, 28,053.99 Ha. as a medium\u2010risk zone, and 12,669.69 Ha. as a low\u2010risk zone. This study has the potential to enable informed decision\u2010making and proactive mosquito\u2010borne disease prevention.\n                  <\/jats:p>","DOI":"10.1029\/2023gh001007","type":"journal-article","created":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T07:55:26Z","timestamp":1750924526000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Remote Sensing and GIS\u2010Based Study to Predict Risk Zones for Mosquito\u2010Borne Diseases in Cuttack District, Odisha, India"],"prefix":"10.1029","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0582-0350","authenticated-orcid":false,"given":"Subrata Kumar","family":"Palo","sequence":"first","affiliation":[{"name":"Department of Health Research ICMR\u2010Regional Medical Research Centre  Bhubaneswar India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8852-4836","authenticated-orcid":false,"given":"Prachi Prava","family":"Panda","sequence":"additional","affiliation":[{"name":"Department of Health Research ICMR\u2010Regional Medical Research Centre  Bhubaneswar India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6526-219X","authenticated-orcid":false,"given":"Debasini","family":"Parida","sequence":"additional","affiliation":[{"name":"Department of Health Research ICMR\u2010Regional Medical Research Centre  Bhubaneswar India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shikha Taneja","family":"Malick","sequence":"additional","affiliation":[{"name":"NBM Biotechnology Industry Research Assistance Council (BIRAC)  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7717-5592","authenticated-orcid":false,"given":"Sanghamitra","family":"Pati","sequence":"additional","affiliation":[{"name":"Department of Health Research ICMR\u2010Regional Medical Research Centre  Bhubaneswar India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"13","published-online":{"date-parts":[[2025,6,26]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/1475\u20102875\u201010\u2010361"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140\u20106736(04)70109\u20109"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/S41324\u2010019\u201000242\u20108"},{"key":"e_1_2_9_5_1","unstructured":"Ceccato P. Connor S. J. Jeanne I. &Thomson M. C.(2005).Application of geographical information systems and remote sensing technologies for assessing and monitoring malaria risk. Parassitologia.https:\/\/www.fe\u2010lexikon.info\/material\/texte\/Pubs.Ceccato.GIS.Remote.Sensing.pdf"},{"key":"e_1_2_9_6_1","unstructured":"Cuttack Municipality Report. (2018).City Disaster Management Plan Cuttack City\u20102017\u201018 Cuttack MUNICIPAL CORPORATION E mail: mccmc@nic.in Phone:0671\u20102308424."},{"key":"e_1_2_9_7_1","volume-title":"District Profile | Cuttack","author":"District Profile C."},{"key":"e_1_2_9_8_1","unstructured":"District Statistical Handbook G. (2011).Government of Odisha district statistical handbook Cuttack 2011 district planning and monitoring unit Cuttack."},{"key":"e_1_2_9_9_1","unstructured":"Earth\u00a0Explorer. (n.d.). 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