SynthesisPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2013
Global mapping of infectious disease.
Synthesis in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 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
93 citing papers in PubMed, 2 syntheses or guidelines pooled it, 241 citations in OpenAlex.
- A Systematic Review of Typhoid Fever Occurrence in Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Pooled it
- Visualization and analytics tools for infectious disease epidemiology: a systematic review.Journal of biomedical informatics · 2014Pooled it
- Household-level WASH conditions and waterborne diseases among the Vantangiya Scheduled Tribe in India: A micro-scale spatial analysis.Scientific reports · 2026Article
- A complete catalogue of human-infective RNA viruses.Scientific data · 2026Article
- Ecological and socioeconomic factors associated with globally reported tick-borne viruses.Communications medicine · 2026Article
- Application of remote sensing and geospatial technologies in predicting vector-borne disease outbreaks.Royal Society open science · 2025Review
- What makes an epidemic a disaster: the future of epidemics within the EM-DAT International Disaster Database.BMC public health · 2025Article
- Detecting the Seasonal and Spatial Patterns of COVID-19 Hospitalization and Deaths in Iran: Insights from a Spatiotemporal and Hotspot Analysis.International journal of preventive medicine · 2025Article
- Space-time clusters and co-occurrence of Plasmodium vivax and Plasmodium falciparum malaria in West Bengal, India.Malaria journal · 2024Article
- Opportunities and challenges of 5G network technology toward precision medicine.Clinical and translational science · 2023Review
- Tackling Soil ARG-Carrying Pathogens with Global-Scale Metagenomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- The Potential of Surveillance Data for Dengue Risk Mapping: An Evaluation of Different Approaches in Cuba.Tropical medicine and infectious disease · 2023Article
- Comparing Satellite and Ground-Based Measurements of Environmental Suitability for Vector Mosquitoes in an Urban Landscape.Journal of medical entomology · 2022Article
- A global dataset of pandemic- and epidemic-prone disease outbreaks.Scientific data · 2022Article
- The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools.JMIR formative research · 2022Article
- Biological invasions facilitate zoonotic disease emergences.Nature communications · 2022Article
- Plague risk in the western United States over seven decades of environmental change.Global change biology · 2022Article
- Incentivizing optimal risk map use for Triatoma infestans surveillance in urban environments.PLOS global public health · 2022Article
- Population Vulnerability to the SARS-CoV-2 Virus Infection. A County-Level Geographical-Methodological Approach in Romania.GeoHealth · 2021Article
- Mammal assemblage composition predicts global patterns in emerging infectious disease risk.Global change biology · 2021Article
33 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
11 authors at 5 institutions in 3 countries.
Funding
Abstract
The primary aim of this review was to evaluate the state of knowledge of the geographical distribution of all infectious diseases of clinical significance to humans. A systematic review was conducted to enumerate cartographic progress, with respect to the data available for mapping and the methods currently applied. The results helped define the minimum information requirements for mapping infectious disease occurrence, and a quantitative framework for assessing the mapping opportunities for all infectious diseases. This revealed that of 355 infectious diseases identified, 174 (49%) have a strong rationale for mapping and of these only 7 (4%) had been comprehensively mapped. A variety of ambitions, such as the quantification of the global burden of infectious disease, international biosurveillance, assessing the likelihood of infectious disease outbreaks and exploring the propensity for infectious disease evolution and emergence, are limited by these omissions. An overview of the factors hindering progress in disease cartography is provided. It is argued that rapid improvement in the landscape of infectious diseases mapping can be made by embracing non-conventional data sources, automation of geo-positioning and mapping procedures enabled by machine learning and information technology, respectively, in addition to harnessing labour of the volunteer 'cognitive surplus' through crowdsourcing.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.