Infectious disease model based on urban floating population and GDP

Infectious disease model based on urban floating population and GDP | 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 Infectious disease model based on urban floating population and GDP Fusheng Wu, Jiafang Li, Yu Dai, Guangyan Jiang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6412285/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 Infectious diseases threaten human life, health and safety, and have a significant impact on economic and social stability. The degree of harm depends on the speed and media of transmission. Human is one of the vectors of infectious diseases, but population flow is also affected by GDP, so the study of population flow and GDP plays an important role in the prevention and prediction of infectious diseases. At present, the SEIR model is the main infectious disease model, and few researchers consider the influence of GDP on the prediction of infectious disease in the process of improving the model. Based on the Pearson correlation coefficient of population and GDP, this paper proves the correlation between the two factors, proposes an infectious disease model based on the dual factors of urban floating population and GDP, and improves the model's prediction of infectious diseases. Taking the data of "epidemic transmission in Guiyang City" as an example, the results show that the prediction result of the new model is better than the existing SEIR model, and is closer to the actual situation of infectious disease transmission. SEIR model Urban mobility GDP Preason Infectious disease Full Text Additional Declarations No competing interests reported. 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-6412285","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":465410923,"identity":"7fa0b3a1-2425-442f-8364-f09cc107a40e","order_by":0,"name":"Fusheng Wu","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Fusheng","middleName":"","lastName":"Wu","suffix":""},{"id":465410924,"identity":"710a3d69-4668-467c-83c8-6e837f41a9b6","order_by":1,"name":"Jiafang Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYBACA+bz34CUDQ8be/OBAx9+EKOF4QwbkEqT4+c5lnhwZg/xWg4bS87IMT7MwUaklgc/KpgTN5w58+EwAw+DPL/YAUJazh837DnDlrjheO+GwwUWDIYzZycQtkWCt40HaMvZDYdn8DAkGNwmQovk3zaJxA03ch4c5mEjRgvHGTZp3jYDkPcZiNTC28MmLXMmARTIBsBAliDsF/t2HjbJNxX/QVH5+MOHHzby/NIEtKADCdKUj4JRMApGwSjADgAIvUfPD1II8QAAAABJRU5ErkJggg==","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":true,"prefix":"","firstName":"Jiafang","middleName":"","lastName":"Li","suffix":""},{"id":465410925,"identity":"eb0b0300-16b8-4c38-8c3c-dca5caa353a6","order_by":2,"name":"Yu Dai","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Yu","middleName":"","lastName":"Dai","suffix":""},{"id":465410926,"identity":"96c3c620-0195-4cd5-ad40-46cb097ac118","order_by":3,"name":"Guangyan Jiang","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Guangyan","middleName":"","lastName":"Jiang","suffix":""}],"badges":[],"createdAt":"2025-04-09 13:23:59","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6412285/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6412285/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88382612,"identity":"c0602f49-264b-493f-a318-5e05d1ce6d0f","added_by":"auto","created_at":"2025-08-06 01:46:36","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":479126,"visible":true,"origin":"","legend":"","description":"","filename":"Fullpaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6412285/v1_covered_4946b227-08f3-470b-bb9f-b56feb84993f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Infectious disease model based on urban floating population and GDP","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":"SEIR model, Urban mobility, GDP, Preason, Infectious disease","lastPublishedDoi":"10.21203/rs.3.rs-6412285/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6412285/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Infectious diseases threaten human life, health and safety, and have a significant impact on economic and social stability. 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