Temporal Dynamics of Malaria in Mizoram: A District wise Analysis

Temporal Dynamics of Malaria in Mizoram: A District wise Analysis | 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 Temporal Dynamics of Malaria in Mizoram: A District wise Analysis MUKESH RANJAN, Sana Rafi, Mahendra Singh, Ashutosh Singh, Lalpawimawha -, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4824997/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 19 Mar, 2026 Read the published version in Journal of Parasitic Diseases → Version 1 posted 5 You are reading this latest preprint version Abstract India is the largest contributor of incidence of malaria cases and related deaths in southeast Asian region. The state of Mizoram is one of the significant contributors of Malaria cases in India. The present study focuses on the transition of malaria cases in the districts of Mizoram from 2011 to 2020. Various indicators including total malaria cases (TMC), Percent of P. falciparum (% Pf), Annual Parasite Index (API), Total positivity Rate (TPR), Annual Blood Examination Rate (ABER), and malarial deaths are processed through descriptive statistics, correlation and ANOVA to understand the disease epidemiology for Mizoram. Results revealed that Lawngtlai, Lunglei and Mamit districts are the top three in average number of malaria cases while Champhai recorded the lowest cases of malaria. Mamit recorded the highest number of malaria related deaths. Age group wise analysis showed that Malaria prevalence is highest in 15 + years of age, and the lowest is in 0–4 years of age. The malarial incidences were highest in the year 2015 for different age groups and sex. Correlation analysis results in significant correlation between TMC vs API, TMC vs TPR, API vs TPR in district Lawngtlai. District wise analysis of Malaria cases showed statistically significant difference (p < 0.01) between Lawngtlai and Mamit, Lawngtlai and Saiha, Lawngtlai and Serchhip, Lawngtlai and Serchhip. Findings of this study help in policy interventions and framework. State Vector Borne Diseases Control Programme (Malaria) Mizoram should increase intensified surveillance and monitoring of malaria cases, targeted vector control interventions, improved access to malaria diagnosis and treatments, community-based education and awareness programs. Malaria Mizoram TPR API %pf Total malaria cases malarial deaths Full Text Cite Share Download PDF Status: Published Journal Publication published 19 Mar, 2026 Read the published version in Journal of Parasitic Diseases → Version 1 posted Editorial decision: Major revisions needed 15 Jan, 2026 Reviewers agreed at journal 31 Jul, 2024 Reviewers invited by journal 31 Jul, 2024 Editor assigned by journal 30 Jul, 2024 First submitted to journal 29 Jul, 2024 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-4824997","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":334021464,"identity":"006be551-176c-4f05-a227-a16e46527491","order_by":0,"name":"MUKESH 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The state of Mizoram is one of the significant contributors of Malaria cases in India. The present study focuses on the transition of malaria cases in the districts of Mizoram from 2011 to 2020. Various indicators including total malaria cases (TMC), Percent of P. falciparum (% Pf), Annual Parasite Index (API), Total positivity Rate (TPR), Annual Blood Examination Rate (ABER), and malarial deaths are processed through descriptive statistics, correlation and ANOVA to understand the disease epidemiology for Mizoram. Results revealed that Lawngtlai, Lunglei and Mamit districts are the top three in average number of malaria cases while Champhai recorded the lowest cases of malaria. Mamit recorded the highest number of malaria related deaths. Age group wise analysis showed that Malaria prevalence is highest in 15\u0026thinsp;+\u0026thinsp;years of age, and the lowest is in 0\u0026ndash;4 years of age. The malarial incidences were highest in the year 2015 for different age groups and sex. 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