ArticleThe Lancet regional health. Southeast Asia2022
National Institute of Malaria Research-Malaria Dashboard (NIMR-MDB): A digital platform for analysis and visualization of epidemiological data.
Article in The Lancet regional health. Southeast Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Spatio-temporal trends of insecticide resistance in Indian malaria vectors (2000-2024): a systematic review and meta-analysis.BMC public health · 2025Pooled it
- Epidemiology of malaria outbreak years in India provides key insights into malaria elimination.Malaria journal · 2026Article
- Real-time dynamic prediction of HFMD transmission using SEIRQ-ARIMA hybrid model optimized by multi-stage ABC-GWO algorithm.Scientific reports · 2026Article
- Nationwide epidemiology of candidiasis in Panama, 2010-2020.Scientific reports · 2025Article
- Mapping malaria risk in India between 2019 and 2023: a tool for the public to track malaria.Scientific reports · 2025Article
- Transfusion-transmittedThe Lancet regional health. Southeast Asia · 2025Review
- Time trends in thermal burns incidence among Brazil, Russia, India, China, and South Africa (BRICS), an age-period-cohort analysis from the GBD 2019.Scientific reports · 2025Article
- For Malaria Elimination, India Needs to Integrate Its Research and Control Arms.The American journal of tropical medicine and hygiene · 2024Article
- Epidemiological profile of malaria in a rural community in the Amazon, Mato Grosso State, Brazil, 2011.Malaria journal · 2024Article
- Addressing challenges in vector control: a review of current strategies and the imperative for novel tools in India's combat against vector-borne diseases.BMJ public health · 2024Review
- Prevalence and Correlates of Malnutrition in Nuh District, Haryana State, India.The American journal of tropical medicine and hygiene · 2024Article
- Socioecological risk factors associated with Malaria in Pregnancy in an endemic state of India: a retrospective study.BMJ public health · 2023Article
- Web Geographic Information System: A Support Tool for the Study, Evaluation, and Monitoring of Foci of Malaria Transmission in Mexico.International journal of environmental research and public health · 2023Article
- Climate zones are a key component of the heterogeneous presentation of malaria and should be added as a malariometric for the planning of malaria elimination.PLOS global public health · 2023Article
- Tracking district-level performance in the context of achieving zero indigenous case status by 2027.PLOS global public health · 2023Article
- Optimizing the utility of NIMR-MDB vis a vis ICMR COVID-19 data portal in containment of malaria.The Lancet regional health. Southeast Asia · 2022Article
- Optimizing the utility of NIMR-MDB vis a vis ICMR COVID-19 data portal in containment of malaria-Authors' reply.The Lancet regional health. Southeast Asia · 2022Article
- Moving beyond dashboards to generate data for public good-Authors' reply.The Lancet regional health. Southeast Asia · 2022Article
- Moving beyond dashboards to generate data for public good.The Lancet regional health. Southeast Asia · 2022Article
- Malaria control initiatives that have the potential to be gamechangers in India's quest for malaria elimination.The Lancet regional health. Southeast Asia · 2022Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A digital dashboard can be an invaluable resource for the research community and can help analyze and visualize data as per the inputs provided by the user. In India, large data sets on malaria are available though presently no digital dashboard is being used to monitor and analyze the malaria data. Methods: We have developed a dashboard (National Institute of Malaria Research-Malaria Dashboard (NIMR-MDB)) in R software using 19 different packages within which shiny and ggplot2 are used more intensively. NIMR-MDB can be used offline by running the app on any R software installed computer. Furthermore, NIMR-MDB can be accessed across different computers within an organization using a local server, or it may be made publicly available by publishing it online with secured access. There are two options for publishing the shiny dashboard online 1) via a personal Linux server for hosting this application or 2) by hosting the application on a certified online platform such as 'shinyapps.io' at a reasonable cost without setting up a server. Findings: The NIMR-MDB is a versatile interface that allows prompt and interactive analyses of malaria epidemiological data. The primary interface of NIMR-MDB is like a web page with 14 tabs (or pages) where each Tab corresponds to a particular set of analysis. Users may move from one Tab to another via icons. Each Tab allows flexibility in correlating various epidemiological parameters like SPR, API, AFI, ABER, RT, malaria cases, deaths, BSC and BSE. The malaria epidemiological data can be analyzed in the required granularity (national level, state level or district level), and its enhanced visualization allows for facile usage and extensive analysis. Interpretation: This NIMR-MDB developed here will play an important role in the analysis of epidemiological data and in strategizing malaria control in India. Researchers and policymakers may use it as a prototype for developing other dashboards for various diseases globally. Funding: There is no specific grant received from any funding agency for this work yet.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.