Clusters of Communicable Diseases in Selected Regions of Tanzania

Clusters of Communicable Diseases in Selected Regions of Tanzania | 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 Clusters of Communicable Diseases in Selected Regions of Tanzania Twalibu Fadhili, Ramkumar T Balan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6808355/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 All around the world, particularly in Africa, communicable diseases become a challenge to the public health system. Understanding the interactions and dynamics between multiple diseases that share resources, time, and geography is essential, especially in contexts where resources are scarce. This study is a beginning in Tanzania to assess the communicable disease clusters in selected regions so as to make precautions and awareness among peoples and health worker community to prevent the diseases. Four diseases: Influenza, Urinary Tract Infection, Diarrhea, and Malaria depends on its mode of transmission:-vector, person-to-person contact, oral contact and airborne contact-respectively were considered for the study. The study includes six zones:- Arusha, Dar es Salaam, Dodoma, Mbeya, Mtwara, and Mwanza for the period of 2020 to 2021. Statistical tools like discriminant analysis and cluster analysis pinpointed the risky age groups with multiple diseases on specified regions. The study exposed that the elders in Arusha, Mbeya, and Mtwara were at risk, whilst the childhood in Dar es Salaam, Dodoma, and the infants in Mwanza are also risky. Communicable disease Discriminant analysis Clusters High Risk Full Text Additional Declarations The authors declare potential competing interests as follows: no competing interest 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-6808355","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":465714522,"identity":"b1b5b56c-74b1-41cf-824e-55b1c32373c5","order_by":0,"name":"Twalibu Fadhili","email":"","orcid":"","institution":"University of Dodoma","correspondingAuthor":false,"prefix":"","firstName":"Twalibu","middleName":"","lastName":"Fadhili","suffix":""},{"id":465714523,"identity":"0284b568-1e5b-427e-8183-bd44ae385508","order_by":1,"name":"Ramkumar T Balan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1klEQVRIiWNgGAWjYDACHiBOYDsAJJlBhIQMEVqYYVrYEkBaeIjTwgDWwmMAsxU/MO85f3TDg7I7idvZz3x+daPGgoeB/fDRDfi0yJxtZruRcO5Z4s6e3G3WOceADuNJS7uBT4sEPzPbjcS2w4kbDuRuM85hA2qR4DEjUsv5N8+Mc/4Ro4W3GarlRg7z49w2YrTwHDYD+uWw8YYbz8yYc/skeNgI+oUn8dnNH2WHZTecT378OedbnRw/++FjeLUgAzYJMEmschBg/kCK6lEwCkbBKBg5AAByFE1dOiw3iAAAAABJRU5ErkJggg==","orcid":"","institution":"University of Dodoma","correspondingAuthor":true,"prefix":"","firstName":"Ramkumar","middleName":"T","lastName":"Balan","suffix":""}],"badges":[],"createdAt":"2025-06-03 07:40:20","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":true,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-6808355/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6808355/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":83930195,"identity":"a67eb850-d125-4766-895f-c7bf8035212b","added_by":"auto","created_at":"2025-06-04 15:23:09","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":709253,"visible":true,"origin":"","legend":"","description":"","filename":"CLUSTERSOFCOMMUNICABLEDISEASESINSELECTEDREGIONSOFTANZANIA.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6808355/v1_covered_c6d5a7c6-4a9b-400d-8d19-d71bc7bd9fa3.pdf"}],"financialInterests":"The authors declare potential competing interests as follows: no competing interest","formattedTitle":"\u003cp\u003e\u003cstrong\u003eClusters of Communicable Diseases in Selected Regions of Tanzania\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University of Dodoma","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":"Communicable disease, Discriminant analysis, Clusters, High Risk","lastPublishedDoi":"10.21203/rs.3.rs-6808355/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6808355/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAll around the world, particularly in Africa, communicable diseases become a challenge to the public health system. 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