ArticlePloS one2019
Prevalence of afebrile malaria and development of risk-scores for gradation of villages: A study from a hot-spot in Odisha.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Prevalence and proportion estimate of asymptomatic Plasmodium infection in Asia: a systematic review and meta-analysis.Scientific reports · 2023Pooled it
- Prevalence and factors associated with severe thrombocytopenia among hospitalized patients with malaria attending Kigeme District Hospital, Southern Province, Rwanda: cross-sectional study.Malaria journal · 2025Article
- Assessing afebrile malaria and bed-net use in a high-burden region of India: Findings from multiple rounds of mass screening.PloS one · 2023Article
- Multilevel logistic regression modelling to quantify variation in malaria prevalence in Ethiopia.PloS one · 2022Article
- Article
- Forest malaria: the prevailing obstacle for malaria control and elimination in India.BMJ global health · 2021Review
- Epidemiology of Malaria in East Nusa Tenggara Province in Indonesia: Protocol for a Cross-sectional Study.JMIR research protocols · 2021Article
- Coverage of community case management for malaria through CHWs: a quantitative assessment using primary household surveys of high-burden areas in Chhattisgarh state of India.Malaria journal · 2020Article
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11 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionMalaria is a public health emergency in India and Odisha. The national malaria elimination programme aims to expedite early identification, treatment and follow-up of malaria cases in hot-spots through a robust health system, besides focusing on efficient vector control. This study, a result of mass screening conducted in a hot-spot in Odisha, aimed to assess prevalence, identify and estimate the risks and develop a management tool for malaria elimination.
methodsThrough a cross-sectional study and using WHO recommended Rapid Diagnostic Test (RDT), 13221 individuals were screened. Information about age, gender, education and health practices were collected along with blood sample (5 μl) for malaria testing. Altitude, forestation, availability of a village health worker and distance from secondary health center were captured using panel technique. A multi-level poisson regression model was used to analyze association between risk factors and prevalence of malaria, and to estimate risk scores.
resultsThe prevalence of malaria was 5.8% and afebrile malaria accounted for 79 percent of all confirmed cases. Higher proportion of Pv infections were afebrile (81%). We found the prevalence to be 1.38 (1.1664-1.6457) times higher in villages where the Accredited Social Health Activist (ASHA) didn't stay; the risk increased by 1.38 (1.0428-1.8272) and 1.92 (1.4428-2.5764) times in mid- and high-altitude tertiles. With regard to forest coverage, villages falling under mid- and highest-tertiles were 2.01 times (1.6194-2.5129) and 2.03 times (1.5477-2.6809), respectively, more likely affected by malaria. Similarly, villages of mid tertile and lowest tertile of education had 1.73 times (1.3392-2.2586) and 2.50 times (2.009-3.1244) higher prevalence of malaria.
conclusionPresence of ASHA worker in villages, altitude, forestation, and education emerged as principal predictors of malaria infection in the study area. An easy-to-use risk-scoring system for ranking villages based on these risk factors could facilitate resource prioritization for malaria elimination.
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