ReviewFrontiers in microbiology2016
Advances and Limitations of Disease Biogeography Using Ecological Niche Modeling.
Review in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
70 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A global examination of ecological niche modeling to predict emerging infectious diseases: a systematic review.Frontiers in public health · 2023Pooled it
- Nairobi Sheep Disease Virus: A Historical and Epidemiological Perspective.Frontiers in veterinary science · 2020Pooled it
- Spatiotemporal clustering and ecological niche modeling of Varroa destructor infestations in honey bee colonies across Türkiye.Experimental & applied acarology · 2026Article
- Climate change reshapes the potential transmission risk of human alveolar and cystic echinococcosis in western China: a projection based on MaxEnt models.Infectious diseases of poverty · 2026Article
- Comprehensive evaluation of the heat tolerance of non-heading Chinese cabbage based on multifactorial statistical analysis.Frontiers in plant science · 2026Article
- [A spatiotemporal analysis of canine visceral leishmaniasis in Uruguaiana, Rio Grande do Sul, Brazil (2009-2019)].Cadernos de saude publica · 2026Article
- The Effect of Climate Change on Emergence and Evolution of Zoonotic Diseases in Asia.Zoonoses and public health · 2025Review
- Climate change and its impact on spatial and temporal distribution of visceral leishmaniasis transmission risk in Nepal.BMC infectious diseases · 2025Article
- Application of remote sensing and geospatial technologies in predicting vector-borne disease outbreaks.Royal Society open science · 2025Review
- ECOLOGICAL NICHE MODELING APPLICATIONS TO INFECTIOUS DISEASES.Biodiversity informatics · 2025Article
- Spatiotemporal dynamics ofFrontiers in microbiology · 2025Article
- Exploring Climate-Disease Connections in Geopolitical Versus Ecological Regions: The Case of West Nile Virus in the United States.GeoHealth · 2024Article
- Host and nonhost bacteria support bacteriophage dissemination along mycelia and abiotic dispersal networks.microLife · 2024Article
- Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula.Transboundary and emerging diseases · 2024Article
- Building a pathway to One Health surveillance and response in Asian countries.Science in One Health · 2024Review
- Based on the MaxEnt model the analysis of influencing factors and simulation of potential risk areas of human infection with avian influenza A (H7N9) in China.Frontiers in cellular and infection microbiology · 2024Article
- Mapping the potential distribution of the principal vector of Crimean-Congo haemorrhagic fever virus Hyalomma marginatum in the Old World.PLoS neglected tropical diseases · 2023Article
- A geopositioned and evidence-graded pan-species compendium of Mayaro virus occurrence.Scientific data · 2023Article
- Transmission risk of Oropouche fever across the Americas.Infectious diseases of poverty · 2023Article
- Cryptosporidiosis threat under climate change in China: prediction and validation of habitat suitability and outbreak risk for human-derived Cryptosporidium based on ecological niche models.Infectious diseases of poverty · 2023Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mapping disease transmission risk is crucial in public and animal health for evidence based decision-making. Ecology and epidemiology are highly related disciplines that may contribute to improvements in mapping disease, which can be used to answer health related questions. Ecological niche modeling is increasingly used for understanding the biogeography of diseases in plants, animals, and humans. However, epidemiological applications of niche modeling approaches for disease mapping can fail to generate robust study designs, producing incomplete or incorrect inferences. This manuscript is an overview of the history and conceptual bases behind ecological niche modeling, specifically as applied to epidemiology and public health; it does not pretend to be an exhaustive and detailed description of ecological niche modeling literature and methods. Instead, this review includes selected state-of-the-science approaches and tools, providing a short guide to designing studies incorporating information on the type and quality of the input data (i.e., occurrences and environmental variables), identification and justification of the extent of the study area, and encourages users to explore and test diverse algorithms for more informed conclusions. We provide a friendly introduction to the field of disease biogeography presenting an updated guide for researchers looking to use ecological niche modeling for disease mapping. We anticipate that ecological niche modeling will soon be a critical tool for epidemiologists aiming to map disease transmission risk, forecast disease distribution under climate change scenarios, and identify landscape factors triggering outbreaks.
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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.