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                <text>Faculty Publications</text>
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          <name>Creator</name>
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              <text>Baraik, Sundeep Kumar; Parihar, Ruchi Singh; Sparrow, Sarah; Salunke, Popat</text>
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              <text>Exploring the nexus of climate change and vector-borne disease transmission</text>
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          <name>Date</name>
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              <text>01-01-2025</text>
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              <text>iScience;Volume;28;Issue;11;Article No.;113835;</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.isci.2025.113835" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.isci.2025.113835&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105020931916?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105020931916?origin=resultslist&lt;/a&gt;</text>
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              <text>Baraik S.K., Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India; Parihar R.S., IBS Centre for Climate Physics, Busan, South Korea, CHRIST University, Karnataka, Bangalore, India; Sparrow S., University of Oxford, Department of Engineering Science, Parks Road, Oxford, OX1 3PJ, United Kingdom; Salunke P., Center for Sustainability Science and Strategy, Massachusetts Institute of Technology, Cambridge, MA, United States</text>
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              <text>Climate change is a critical global challenge that significantly impacts the redistribution of malaria endemicity worldwide. While efforts have been made to model malaria transmission using climatic factors, relying solely on these factors can lead to discrepancies and ineffective decision-making. To address this, we used the VECTRI modela dynamic framework developed by the International Center for Theoretical Physics (ICTP) that integrates both climatic and entomological factorsto map malaria risk for India and project its potential future under the SSP370 warming scenario. Our findings indicate that the length of malaria transmission is expected to increase across India by the end of this century. The shift of malaria endemicity to further north and also into highland areas could increase the at-risk population due to lower immunity in these regions. Therefore, integrated climate and entomological modeling is essential for effectively anticipating malaria transmission risks and enhancing public health responses.  2025</text>
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              <text>Environmental health; Environmental science; Global change; Public health</text>
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              <text>Elsevier Inc.</text>
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              <text>ISSN: 25890042;</text>
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              <text>All Open Access; Gold Open Access; Green Open Access</text>
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              <text>online</text>
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