ArticleBMC medicine2018
Spatial infectious disease epidemiology: on the cusp.
Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis 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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases.Frontiers in public health · 2023Pooled it
- In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives.NPJ systems biology and applications · 2026Review
- Epidemiological characteristics of syphilis in China from 2005 to 2020: predominance of latent Infections, significant burden in the elderly population, and analysis of regional disparities.BMC public health · 2025Article
- Article
- Spatiotemporal modeling of COVID-19 spread: unveiling socioeconomic disparities and patterns, across social classes in the urban population of Kermanshah, Iran.Frontiers in public health · 2024Article
- An inaugural forum on epidemiological modeling for public health stakeholders in Arizona.Frontiers in public health · 2024Article
- An Integrated Ecological Niche Modelling Framework for Risk Mapping of Peste des Petits Ruminants Virus Exposure in African Buffalo (Pathogens (Basel, Switzerland) · 2023Article
- Geospatial analysis of the hospitalisation rate of patients with rheumatoid arthritis in Hunan: a cross-sectional Chinese study.BMJ open · 2023Article
- Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread.BMC medical research methodology · 2023Article
- Leveraging insect-specific viruses to elucidate mosquito population structure and dynamics.PLoS pathogens · 2023Review
- Spatiotemporal variation in risk of Shigella infection in childhood: a global risk mapping and prediction model using individual participant data.The Lancet. Global health · 2023Article
- The role and mechanism of TCM in the prevention and treatment of infectious diseases.Frontiers in microbiology · 2023Review
- Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada.Spatial and spatio-temporal epidemiology · 2022Article
- Urban landscape and infection risk in free-roaming cats.Zoonoses and public health · 2022Article
- Geospatial analysis of the associations between environmental contamination with livestock feces and children with chronic fascioliasis in the Anta province of Cusco, Peru.PLoS neglected tropical diseases · 2022Article
- Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes.Future generations computer systems : FGCS · 2022Article
- Surveillance of COVID-19 in Cameroon: Implications for policymakers and the healthcare system.Journal of public health in Africa · 2021Article
- Mapping and Spatial Pattern Analysis of COVID-19 in Central Iran Using the Local Indicators of Spatial Association (LISA).BMC public health · 2021Article
- Dynamics of Covid-19 mortality and social determinants of health: a spatiotemporal analysis of exceedance probabilities.Annals of epidemiology · 2021Article
- Spatial patterns of lower respiratory tract infections and their association with fine particulate matter.Scientific reports · 2021Article
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
Infectious diseases continue to pose a significant public health burden despite the great progress achieved in their prevention and control over the last few decades. Our ability to disentangle the factors and mechanisms driving their propagation in space and time has dramatically advanced in recent years. The current era is rich in mathematical and computational tools and detailed geospatial information, including sociodemographic, geographic, and environmental data, which are essential to elucidate key drivers of infectious disease transmission from epidemiological and genetic data. Indeed, this paradigm shift was driven by dramatic advances in complex systems approaches along with substantial improvements in data availability and computational power. The burgeoning output of infectious disease spatial modeling suggests that we are close to a fully integrated approach for early epidemic detection and intervention. This special collection in BMC Medicine aims to bring together a broad range of quantitative investigations that improve our understanding of the spatiotemporal transmission dynamics of infectious diseases in order to mitigate their impact on the human population.
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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.