ArticleCommunications medicine2025
The use of SatScan software to map spatiotemporal trends and detect disease clusters: a systematic review.
Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of WHONET for antimicrobial resistance surveillance: a systematic review.BMC infectious diseases · 2026Pooled it
- Spatial disparities and determinants of obstetric fistula among childbearing women in sub-Saharan Africa: A geospatial regression approach.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Spatiotemporal epidemiology of influenza in Fujian Province: an 18-year observational study.BMC infectious diseases · 2026Observational
- Spatial distribution and associated factors of non-uptake of DTP3 vaccination among children aged 12-23 months in East Africa: geospatial analysis.BMC public health · 2026Article
- Analysis of the spatio-temporal pattern and evolutionary trends of syphilis at township level in Xining City, Qinghai Province, China from 2008 to 2024.Scientific reports · 2026Article
- Spatial, temporal, and spatiotemporal analysis of pertussis in Shapingba District, China, 2014-2024.BMC infectious diseases · 2026Article
- Spatial scanning for the identification of risk areas for fetal death: an ecological study in Pernambuco.Revista da Escola de Enfermagem da U S P · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow and Middle-Income Countries (LMICs) often experience a disproportionate burden in health issues. One public health, epidemiology, and spatial statistics software tool has emerged as a stalwart for detecting disease clusters, mapping spatiotemporal trends, and analyzing health-related data-SatScan.
methodsThis systematic review aims to provide a comprehensive overview of the extent of the use of spatiotemporal analysis, namely the use of SatScan for understanding health inequalities within LMICs within space and time parameters, shedding light on its potential to inform evidence-based public health interventions and policies. A systematic search was conducted in six electronic databases: PubMed, ScienceDirect, Web of Science, Cochrane, Scopus, and Embase. It included all human health-related articles, looking into data from LMICs. A descriptive analysis and quality assessment of the articles was performed.
resultsOut of 5215 articles from different databases, 719 are included. Over 516 articles include themes on communicable diseases and over 50% of the articles come from China, Ethiopia, and Brazil. The Poisson-based model is the most commonly used model type, and more than 85% use secondary data sources, with the Demographic Health Surveys datasets being the most used.
conclusionsThis systematic review allows us to understand which areas have been studied and which LMICs have developed research. This helps us detect health issues that have been neglected and the countries which require additional resources to increase their research capacities in this domain.
Identifiers
What Socratic holds
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 Socratic graph.