ArticleBMC medicine2018
Innovation to impact in spatial epidemiology.
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 12 papers.
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
12 citing papers in PubMed.
- Household-level WASH conditions and waterborne diseases among the Vantangiya Scheduled Tribe in India: A micro-scale spatial analysis.Scientific reports · 2026Article
- Editorial: Mapping the unseen: advancements and innovations in spatial epidemiology for disease dynamics and public health interventions.Frontiers in epidemiology · 2026Article
- Infectious Disease Surveillance in the Era of Big Data and AI: Opportunities and Pitfalls.Cureus · 2025Review
- From infectious diseases to chronic diseases: the paradigm shift of spatial epidemiology in disease prevention and control.Frontiers in public health · 2025Review
- Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning.Portuguese journal of public health · 2023Article
- Progress on application of spatial epidemiology in ophthalmology.Frontiers in public health · 2022Review
- Geospatial analysis of salmonellosis and its association with socioeconomic status in Texas.Family medicine and community health · 2021Article
- Measuring the contribution of built-settlement data to global population mapping.Social sciences & humanities open · 2021Article
- Spatial-temporal patterns of malaria incidence in Uganda using HMIS data from 2015 to 2019.BMC public health · 2020Article
- Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Spatial clustering of suicide mortality and associated community characteristics in Kanagawa prefecture, Japan, 2011-2017.BMC psychiatry · 2020Article
- Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru.Frontiers in public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Spatial epidemiology is a rapidly advancing field, pushing our abilities to measure, monitor and map pathogens at increasingly finer spatiotemporal scales. However, these scales often do not align with the abilities of control programmes to act at them, building a disconnect between academia and implementation. Efforts are being made to feed innovations into government, build spatial data skills, and strengthen links between disease control programmes and universities, yet work remains to be done if goals for disease control, elimination and 'leaving no one behind' are to be met.
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.