Analyzing the spatial and temporal distribution of brucellosis disease burden and ecological influencing factors of working-age population in Inner Mongolia, 2015–2020

preprint OA: closed
Full text JSON View at publisher

Abstract

Abstract Backgrounds: Brucellosis is a major public health problem globally, with cases concentrated in working-age populations, but there are few studies on the burden of brucellosis disease in working-age populations. This study estimated the disease burden and spatiotemporal distribution characteristics of brucellosis in Inner Mongolia's working-age population from 2015 to 2020 and explored the ecological influences on its disease burden. Methods The study described the incidence of brucellosis in Inner Mongolia's working-age population from 2015 to 2020. It calculated years of life lost with disability (YLD) and the YLD rate. Spatiotemporal Bayesian modeling was utilized; thus, the spatiotemporal variation pattern of brucellosis disease burden was analyzed. Using the geographically weighted regression analysis (GWR), the study explored the ecological influencing factors of the burden of brucellosis in the working-age population. Results The incidence rate increased from 30.74/100,000 to 77.29/100,000 in Inner Mongolia's working-age population from 2015 to 2020. The YLD of brucellosis in the working-age population of Inner Mongolia between 2015 and 2020 was 1533.98 person-years, with a YLD rate of 0.091 per 1,000, and the YLD rate exhibited an upward trend with time. The Bayesian spatiotemporal distribution model revealed that the disease burden of Inner Mongolia's working-age population was at high risk and increasing rapidly: areas including Hinggan, Tongliao, and Chifeng. Bayan Nur exhibited a low risk of brucellosis disease burden but a rapid rate of increase. A considerably high number of cattle at year-end (β: 0.011284–0.011290, P < 0.05), low number of beds (β: -0.007465-0.007436, P < 0.05), and high rainfall (β: 0.010495–0.010520, P < 0.05) are ecological influences on the brucellosis disease burden in the working-age population of Inner Mongolia. Conclusion From 2015 to 2020, the YLD rate of brucellosis among Inner Mongolia's working-age population exhibited an increasing trend and spatial aggregation. Medical practitioners should dedicate more research attention to areas where the risk of disease burden is growing at a fast rate, and cities with a low risk of disease burden but a fast rate of increase also merit urgent research attention. The number of cattle at year-end, high rainfall, and low number of beds are ecological influences on the brucellosis disease burden among the working-age population.
Full text 18,803 characters · extracted from preprint-html · click to expand
Analyzing the spatial and temporal distribution of brucellosis disease burden and ecological influencing factors of working-age population in Inner Mongolia, 2015–2020 | 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 Analyzing the spatial and temporal distribution of brucellosis disease burden and ecological influencing factors of working-age population in Inner Mongolia, 2015–2020 Lei Yu, Huiqiu Zheng, Yanling Wang, Xinyan Wang, Xuemei Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4445068/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 Backgrounds: Brucellosis is a major public health problem globally, with cases concentrated in working-age populations, but there are few studies on the burden of brucellosis disease in working-age populations. This study estimated the disease burden and spatiotemporal distribution characteristics of brucellosis in Inner Mongolia's working-age population from 2015 to 2020 and explored the ecological influences on its disease burden. Methods The study described the incidence of brucellosis in Inner Mongolia's working-age population from 2015 to 2020. It calculated years of life lost with disability (YLD) and the YLD rate. Spatiotemporal Bayesian modeling was utilized; thus, the spatiotemporal variation pattern of brucellosis disease burden was analyzed. Using the geographically weighted regression analysis (GWR), the study explored the ecological influencing factors of the burden of brucellosis in the working-age population. Results The incidence rate increased from 30.74/100,000 to 77.29/100,000 in Inner Mongolia's working-age population from 2015 to 2020. The YLD of brucellosis in the working-age population of Inner Mongolia between 2015 and 2020 was 1533.98 person-years, with a YLD rate of 0.091 per 1,000, and the YLD rate exhibited an upward trend with time. The Bayesian spatiotemporal distribution model revealed that the disease burden of Inner Mongolia's working-age population was at high risk and increasing rapidly: areas including Hinggan, Tongliao, and Chifeng. Bayan Nur exhibited a low risk of brucellosis disease burden but a rapid rate of increase. A considerably high number of cattle at year-end (β: 0.011284–0.011290, P < 0.05), low number of beds (β: -0.007465-0.007436, P < 0.05), and high rainfall (β: 0.010495–0.010520, P < 0.05) are ecological influences on the brucellosis disease burden in the working-age population of Inner Mongolia. Conclusion From 2015 to 2020, the YLD rate of brucellosis among Inner Mongolia's working-age population exhibited an increasing trend and spatial aggregation. Medical practitioners should dedicate more research attention to areas where the risk of disease burden is growing at a fast rate, and cities with a low risk of disease burden but a fast rate of increase also merit urgent research attention. The number of cattle at year-end, high rainfall, and low number of beds are ecological influences on the brucellosis disease burden among the working-age population. brucellosis working age population disease burden spatiotemporal distribution influencing factors Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Full Text Additional Declarations No competing interests reported. Tables are available in the Supplementary Files section. Supplementary Files Tables.doc Supplementalfiles.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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4445068","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308046903,"identity":"4f04fe2c-7044-4c1e-ab8c-d0c6a209904b","order_by":0,"name":"Lei Yu","email":"","orcid":"","institution":"Inner Mongolia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Yu","suffix":""},{"id":308046905,"identity":"19838b6d-26a0-4e13-a6d5-4bed8c160595","order_by":1,"name":"Huiqiu Zheng","email":"","orcid":"","institution":"Inner Mongolia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Huiqiu","middleName":"","lastName":"Zheng","suffix":""},{"id":308046906,"identity":"4c78897b-742c-400a-8d02-329a775fe440","order_by":2,"name":"Yanling Wang","email":"","orcid":"","institution":"Inner Mongolia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yanling","middleName":"","lastName":"Wang","suffix":""},{"id":308046908,"identity":"e76a2dab-dc30-496c-85d4-4ce6093d9ad7","order_by":3,"name":"Xinyan Wang","email":"","orcid":"","institution":"Inner Mongolia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Xinyan","middleName":"","lastName":"Wang","suffix":""},{"id":308046909,"identity":"8fe79529-ca8a-405e-bc07-90fe7f2277b5","order_by":4,"name":"Xuemei Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzklEQVRIiWNgGAWjYHAD5gMHPvwgTQtb4sGZPaRp4TE+zMFGhDqD42cPv+bNYbCXn5Hz4TADD4M8v9gBAlrO5KVZztzGwGxwI3fD4QILBsOZsxPwazE7kGNm8HEbA5uBBFDLDB6GBIPbhLScf2NmkLiNgQfosAeHediI0XIjx/gB0BYJhhs5DMRpsb/xxowR6BcDgzPPDICBLEHYL5L9OcafebcBQ6w9+fGHDz9s5PmlCWgBAjYJBob/MI4EQeUgwPyBKGWjYBSMglEwcgEAXiNEfSd+x8kAAAAASUVORK5CYII=","orcid":"","institution":"Inner Mongolia Medical University","correspondingAuthor":true,"prefix":"","firstName":"Xuemei","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2024-05-19 16:23:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4445068/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4445068/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":57875174,"identity":"f1b39d86-f51f-4c7d-8026-5a13f195e6a0","added_by":"auto","created_at":"2024-06-06 18:54:17","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":1082426,"visible":true,"origin":"","legend":"\u003cp\u003eJoinpoint trends analysis in YLD rates for the working-age population, 2015–2020\u003c/p\u003e","description":"","filename":"Figure1JoinpointtrendsanalysisinYLDratesfortheworkingagepopulation20152020.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/7533f77925e0ec6e7b6da57b.png"},{"id":57874430,"identity":"cf5e757f-b865-4f3a-831f-8080f4169f6f","added_by":"auto","created_at":"2024-06-06 18:46:17","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":1522124,"visible":true,"origin":"","legend":"\u003cp\u003eJoinpoint trends analysis in YLD rates for the youth individuals, 2015–2020\u003c/p\u003e","description":"","filename":"Figure2JoinpointtrendsanalysisinYLDratesfortheyouthindividuals20152020.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/a9ffd4003af742e4b41f177d.png"},{"id":57874426,"identity":"7dd1d403-0582-4f18-a535-9c91da58aa6e","added_by":"auto","created_at":"2024-06-06 18:46:17","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":1576393,"visible":true,"origin":"","legend":"\u003cp\u003eJoinpoint trends analysis in YLD rates for the middle-aged individuals, 2015–2020\u003c/p\u003e","description":"","filename":"Figure3JoinpointtrendsanalysisinYLDratesforthemiddleagedindividuals20152020.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/058e486bd105b5b7fb49f0ef.png"},{"id":57874429,"identity":"c05459f3-f54d-4b51-94f5-f4283ee3882c","added_by":"auto","created_at":"2024-06-06 18:46:17","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":2751824,"visible":true,"origin":"","legend":"\u003cp\u003eJoinpoint trends analysis in YLD rates for different cities in Inner Mongolia, 2015–2020\u003c/p\u003e","description":"","filename":"Figure4JoinpointtrendsanalysisinYLDratesfordifferentcitiesinInnerMongolia20152020.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/71b64327dd6f56e898473654.png"},{"id":57874432,"identity":"39c5011f-868b-4492-9522-ee096b3f8f1d","added_by":"auto","created_at":"2024-06-06 18:46:17","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":430136,"visible":true,"origin":"","legend":"\u003cp\u003espatiotemporal trends YLD rates among the working-age population in Inner Mongolia, 2015–2020\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/f0b6e7ca9fab6c019a1cf8c0.png"},{"id":57874428,"identity":"7baba798-3d42-4d08-9a64-853f74692403","added_by":"auto","created_at":"2024-06-06 18:46:17","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":782929,"visible":true,"origin":"","legend":"\u003cp\u003eDistribution of standardized residuals from the GWR regression model\u003c/p\u003e","description":"","filename":"Figure6DistributionofstandardizedresidualsfromtheGWRregressionmodel.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/dcd29697d2d52cbbc02b6d17.png"},{"id":57875176,"identity":"593a8f5b-f403-4812-960c-e1c88a9bf073","added_by":"auto","created_at":"2024-06-06 18:54:17","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":641243,"visible":true,"origin":"","legend":"\u003cp\u003eRegression coefficients of the respective variables of the GWR model\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/0ee08b4a9be9429fc0dac04e.png"},{"id":64385808,"identity":"48c1a4b1-265e-41e1-9838-c10ffd9507c0","added_by":"auto","created_at":"2024-09-12 12:29:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2604380,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1_covered_7f9a0bee-ec2e-4a45-a79e-13e9ddc11a53.pdf"},{"id":57875175,"identity":"4fc52719-2855-42d2-a57b-d16214584042","added_by":"auto","created_at":"2024-06-06 18:54:17","extension":"doc","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":98304,"visible":true,"origin":"","legend":"","description":"","filename":"Tables.doc","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/fee1473e1a6d2056776a9883.doc"},{"id":57874424,"identity":"2beb40ca-bf90-4778-ae23-5b6e1ad16495","added_by":"auto","created_at":"2024-06-06 18:46:17","extension":"doc","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":45056,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementalfiles.doc","url":"https://assets-eu.researchsquare.com/files/rs-4445068/v1/f59329571fd1c14416f52580.doc"}],"financialInterests":"\u003cp\u003eNo competing interests reported.\u003c/p\u003e\n\u003cp\u003eTables are available in the Supplementary Files section.\u003c/p\u003e","formattedTitle":"Analyzing the spatial and temporal distribution of brucellosis disease burden and ecological influencing factors of working-age population in Inner Mongolia, 2015–2020","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":"brucellosis, working age population, disease burden, spatiotemporal distribution, influencing factors","lastPublishedDoi":"10.21203/rs.3.rs-4445068/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4445068/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackgrounds:\u003c/h2\u003e \u003cp\u003eBrucellosis is a major public health problem globally, with cases concentrated in working-age populations, but there are few studies on the burden of brucellosis disease in working-age populations. This study estimated the disease burden and spatiotemporal distribution characteristics of brucellosis in Inner Mongolia's working-age population from 2015 to 2020 and explored the ecological influences on its disease burden.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThe study described the incidence of brucellosis in Inner Mongolia's working-age population from 2015 to 2020. It calculated years of life lost with disability (YLD) and the YLD rate. Spatiotemporal Bayesian modeling was utilized; thus, the spatiotemporal variation pattern of brucellosis disease burden was analyzed. Using the geographically weighted regression analysis (GWR), the study explored the ecological influencing factors of the burden of brucellosis in the working-age population.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe incidence rate increased from 30.74/100,000 to 77.29/100,000 in Inner Mongolia's working-age population from 2015 to 2020. The YLD of brucellosis in the working-age population of Inner Mongolia between 2015 and 2020 was 1533.98 person-years, with a YLD rate of 0.091 per 1,000, and the YLD rate exhibited an upward trend with time. The Bayesian spatiotemporal distribution model revealed that the disease burden of Inner Mongolia's working-age population was at high risk and increasing rapidly: areas including Hinggan, Tongliao, and Chifeng. Bayan Nur exhibited a low risk of brucellosis disease burden but a rapid rate of increase. A considerably high number of cattle at year-end (β: 0.011284\u0026ndash;0.011290, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05), low number of beds (β: -0.007465-0.007436, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and high rainfall (β: 0.010495\u0026ndash;0.010520, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) are ecological influences on the brucellosis disease burden in the working-age population of Inner Mongolia.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eFrom 2015 to 2020, the YLD rate of brucellosis among Inner Mongolia's working-age population exhibited an increasing trend and spatial aggregation. Medical practitioners should dedicate more research attention to areas where the risk of disease burden is growing at a fast rate, and cities with a low risk of disease burden but a fast rate of increase also merit urgent research attention. The number of cattle at year-end, high rainfall, and low number of beds are ecological influences on the brucellosis disease burden among the working-age population.\u003c/p\u003e","manuscriptTitle":"Analyzing the spatial and temporal distribution of brucellosis disease burden and ecological influencing factors of working-age population in Inner Mongolia, 2015–2020","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-06 18:46:12","doi":"10.21203/rs.3.rs-4445068/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"b832a8bd-2065-4b8a-920c-b528bc5e90aa","owner":[],"postedDate":"June 6th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-11-25T07:38:55+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-06 18:46:12","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4445068","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4445068","identity":"rs-4445068","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00