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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">4053</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.SP266</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Estimation of the Basic Reproduction Number (R0) for Covid-19 Epidemic at District Level in Rewa, Madhya Pradesh&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>S.</surname><given-names>Singh</given-names></name></contrib><contrib contrib-type="author"><name><surname>A.</surname><given-names>Sharma</given-names></name></contrib><contrib contrib-type="author"><name><surname>A.</surname><given-names>Mishra</given-names></name></contrib><contrib contrib-type="author"><name><surname>M.</surname><given-names>Patel</given-names></name></contrib><contrib contrib-type="author"><name><surname>G.</surname><given-names>Derashri</given-names></name></contrib><contrib contrib-type="author"><name><surname>A.</surname><given-names>Modi</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>11</day><month>06</month><year>2021</year></pub-date><volume>Wa</volume><issue>OV</issue><fpage>194</fpage><lpage>200</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: COVID-19 was announced as a global pandemic by World Health Organization (WHO) owing to its highly contagious and pathogenicity that has been rapidly spreading throughout the world since its first reported outbreak in China in December 2019. Aim: To estimate the basic reproduction number (R0) and forecast the situation to understand the future transmission dynamics of the COVID-19 outbreak in the Rewa district. Materials and Methods: It was a retrospective cohort study. We used two data sources for the study. Firstly, contact history of laboratory-confirmed SARS-CoV-2 infected individuals __ampersandsignamp; Secondly, the publicly available daily case count data were used together by applying an approach named population-level model (PLM) for estimating R0 and project the size of the epidemic over the next 365days as per the SIR model with help of python. Results: The peak of the R0 = 2.3 was attained in September 2020. Then subsequent reduction toward the end of September can be attributed to aggressive testing, more contact tracing, and isolation measures implemented in the Rewa district during that month so currently, in November up to 22nd R0=1.8 reported according to our study. Conclusion: A combination of Public health measures such as social distancing, rigorous contact tracing __ampersandsignamp; testing, and isola tion of contacts and the vulnerable should be effective to reduce the instantaneous R0 value and could thereby reduce the final outbreak size.&#13;
</p></abstract><kwd-group><kwd>COVID-19</kwd><kwd> R0 (Basic reproduction number)</kwd><kwd> SIR model (Susceptible</kwd><kwd> infected and recovered)</kwd><kwd> Python</kwd></kwd-group></article-meta></front></article>
