Assessing the Efficiency of Regional Healthcare Systems Amid Evolving Socio- Environmental Dynamics

Assessing the Efficiency of Regional Healthcare Systems Amid Evolving Socio- Environmental Dynamics | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Assessing the Efficiency of Regional Healthcare Systems Amid Evolving Socio- Environmental Dynamics Parthasarathi Barik, Prashant Goswami This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4252211/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The compounding influences of population growth, climate shifts, and socio-economic dynamics drive the burden of disease, intricately shaping healthcare outcomes. Vital for disease prevention, detection, and treatment, the efficacy of healthcare systems directly impacts mortality rates. This investigation delves into 28 Indian states, each representing distinct socio-climatic profiles, to scrutinize how climate change influences three prevalent diseases: acute respiratory disorders, diarrhea, and malaria. Notably, the analysis reveals correlations between case numbers and fatalities, suggesting healthcare system strain in several states. Remarkably, only a handful of states demonstrate significant links between case prevalence in the populace and the mortality rate among affected individuals. Our research presents a methodology transferable to diverse regions, furnishing a quantitative gauge of healthcare system efficacy within specific disease contexts. Public healthcare Air-borne diseases Water-borne diseases Vector-borne diseases Indian population Epidemiology socio-climatic conditions Figures Figure 1 Figure 2 Figure 3 Figure 4 Full Text Additional Declarations No competing interests reported. Supplementary Files Supplementarytable1.doc SupplementaryTable2.doc Supplementaryfigure1.pdf Supplementaryfigurelegend.doc Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4252211","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":295153035,"identity":"ea3a614b-03d6-4ac1-8218-4db2cb447a6d","order_by":0,"name":"Parthasarathi Barik","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIiWNgGAWjYJACZgaGA0CSjfHBByCPjZ2wDsZmqBZmwxkgLcxEa2FgY5PmgVqKF5izn33+uKDmjrx5O1uCtM2vbfJ8zAyMHz7m4NZi2ZNu2Dzj2DPDOYfZDhjn9t02bGNmYJacuQ23FoMDaYzNPGyHGWcwszck5/bcZgRqYWPmxafl/DOgln+H7UFaDlv23LYnrOUG0BbetsOJM5jZDjYz/LidSFCL5YxnjLN5+54lA7UkM/Y23E5uY2ZsxusXc/40hs883+7YzuA/Zv7jx5/btvPbmw9++IjPYSg8xjYw2YBbPYYWhj94FY+CUTAKRsEIBQB5F1AbTJ+9YAAAAABJRU5ErkJggg==","orcid":"","institution":"Chalmers University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Parthasarathi","middleName":"","lastName":"Barik","suffix":""},{"id":295153036,"identity":"da038d29-5b69-4218-9f18-e83ac2d4e742","order_by":1,"name":"Prashant Goswami","email":"","orcid":"","institution":"Fourth Paradigm Institute","correspondingAuthor":false,"prefix":"","firstName":"Prashant","middleName":"","lastName":"Goswami","suffix":""}],"badges":[],"createdAt":"2024-04-11 11:44:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4252211/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4252211/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":55536763,"identity":"8c27e6cc-fd8e-4fe3-85d3-800274f05fc3","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":95831,"visible":true,"origin":"","legend":"\u003cp\u003eCorrelation coefficients between the annual number of cases and the number of deaths for ARD, diarrhea, and malaria for 28 states of India during 1999 to 2011,\u003c/p\u003e\n\u003cp\u003e(A) Actual numbers\u003c/p\u003e\n\u003cp\u003e(B) Cases as % of population and deaths expressed as % of cases\u003c/p\u003e\n\u003cp\u003eThe horizontal dash line in each panel represents 95% significance level for the respective case.\u003c/p\u003e\n\u003cp\u003eThe numbers in the brackets represent the number of states with positive CC ≥ 95% significance for the respective cases.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/0743ff5fa3fbb1cae136dd52.jpg"},{"id":55536759,"identity":"04cc05aa-0e2b-4152-b976-4dd6b2355200","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":78426,"visible":true,"origin":"","legend":"\u003cp\u003eRegions of India with significant correlation between the number of cases and the number of deaths during 1999-2011:\u003c/p\u003e\n\u003cp\u003e(A) Correlation between actual numbers.\u003c/p\u003e\n\u003cp\u003e(B) Correlation between the number of cases as % of the population and the deaths as % of the cases.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/01ce7d796f22654ff7ee3fde.jpg"},{"id":55536764,"identity":"a73de01e-01c4-4443-97c9-45be2e76478c","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":111153,"visible":true,"origin":"","legend":"\u003cp\u003eLinear trends in number of recorded cases and the number of deaths for (A) Acute respiratory disease (ARD), (B) Diarrhea and (C) Malaria for different states of India. The linear trend is expressed as % of respective standard deviation during the period of 1999-2011; the horizontal dash line represents the linear trend of 20 % of the respective standard deviation. The trends are arranged in decreasing order of trend in the number of deaths. The numbers in the brackets represent the number of states with cases and deaths with the linear trend ≥ 20% for the respective analysis.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/09ce6e072dfe7e32e3925265.jpg"},{"id":55536761,"identity":"e9297293-6d6d-43f2-a9a1-a64d6167cdfc","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":112514,"visible":true,"origin":"","legend":"\u003cp\u003eLinear trends in the number of recorded cases (% of population) and deaths (% of cases) for (A) Acute respiratory disease (ARD), (B) Diarrhea and (C) Malaria for different states of India. The linear trend is expressed as % of respective standard deviation during the period of 1999-2011; the horizontal dash line represents linear trend of 20% of the respective standard deviation. The trends are arranged in decreasing order of trend in the number of cases (% of population).\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/27a9251e7a8f41d12d88a2bf.jpg"},{"id":67207981,"identity":"0cad0925-6a93-46ef-ae9c-0bed5c535074","added_by":"auto","created_at":"2024-10-22 11:32:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":677448,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1_covered_51cf59a4-9686-4fc6-99d8-a1f1161f97af.pdf"},{"id":55537990,"identity":"a101eafe-e36c-492f-b0fa-63e9bbbd5a35","added_by":"auto","created_at":"2024-04-29 16:46:35","extension":"doc","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":27136,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementarytable1.doc","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/84511856f8bc1138d363de87.doc"},{"id":55536766,"identity":"80ee233e-4ece-4554-a301-7271a1f61910","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"doc","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":73216,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryTable2.doc","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/5149c3f5ce4cd5d280cd9e6b.doc"},{"id":55536765,"identity":"25c2935f-d0fd-45cb-8fbc-16fa38ef32ba","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"pdf","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":1100959,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementaryfigure1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/dc13abe99df22024249da3a6.pdf"},{"id":55536760,"identity":"0b052a9c-2023-48ca-a042-a57148488cb4","added_by":"auto","created_at":"2024-04-29 16:38:35","extension":"doc","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":23040,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementaryfigurelegend.doc","url":"https://assets-eu.researchsquare.com/files/rs-4252211/v1/137cc02a96de048fb652ad85.doc"}],"financialInterests":"No competing interests reported.","formattedTitle":"Assessing the Efficiency of Regional Healthcare Systems Amid Evolving Socio- Environmental Dynamics","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Public healthcare, Air-borne diseases, Water-borne diseases, Vector-borne diseases, Indian population, Epidemiology, socio-climatic conditions","lastPublishedDoi":"10.21203/rs.3.rs-4252211/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4252211/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The compounding influences of population growth, climate shifts, and socio-economic dynamics drive the burden of disease, intricately shaping healthcare outcomes. 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