Trial reportScientific reports2018
Bayesian spatiotemporal analysis for association of environmental factors with hand, foot, and mouth disease in Guangdong, China.
Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk Factors for Severe Hand-Foot-Mouth Disease in China: A Systematic Review and Meta-Analysis.Frontiers in pediatrics · 2021Pooled it
- Spatial heterogeneity in the temperature-hand, foot, and mouth disease association among children: A multicounty time-series study in western China.PLoS neglected tropical diseases · 2026Article
- Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations.Scientific reports · 2025Article
- The non-stationary and spatially varying associations between hand, foot and mouth disease and multiple environmental factors: A Bayesian spatiotemporal mapping model study.Infectious Disease Modelling · 2024Article
- A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19.Journal of translational medicine · 2023Article
- Combined impacts of environmental and socioeconomic covariates on HFMD risk in China: A spatiotemporal heterogeneous perspective.PLoS neglected tropical diseases · 2023Article
- Assessing the impact of COVID-19 interventions on the hand, foot and mouth disease in Guangdong Province, China: a Bayesian modeling study.Frontiers in public health · 2023Article
- Association of neighborhood greenness with severity of hand, foot, and mouth disease.BMC public health · 2022Article
- The burden of childhood hand-foot-mouth disease morbidity attributable to relative humidity: a multicity study in the Sichuan Basin, China.Scientific reports · 2020Article
- Association between diurnal temperature range and outpatient visits for hand, foot, and mouth disease in Hefei, China: a distributed lag nonlinear analysis.Environmental science and pollution research international · 2020Article
- Associations between ambient air pollution and daily incidence of pediatric hand, foot and mouth disease in Ningbo, 2014-2016: a distributed lag nonlinear model.Epidemiology and infection · 2020Article
- Weather effects on hand, foot, and mouth disease at individual level: a case-crossover study.BMC infectious diseases · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Hand, foot, and mouth disease (HFMD) remains a significant public health and economic burden in parts of China, particularly Guangdong Province. Although the association between meteorological factors and HFMD has been well documented, significant gaps remain in our understanding of the potential impact of environmental factors. Using county-level monthly HFMD data from China CDC and environmental data from multiple sources, we used spatiotemporal Bayesian models to evaluate the association between HFMD and environmental factors including vegetation index, proportion of artificial surface, road capacity, temperature and humidity, and assessed the spatial and temporal dynamic of the association. Statistically significant correlation coefficients from -0.056 to 0.36 (all P < 0.05) were found between HFMD incidence and all environmental factors. The contributions of these factors for HFMD incidence were estimated to be 16.32%, 12.31%, 14.61%, 13.53%, and 2.63%. All environmental factors including vegetation index (Relative Risk: 0.889; Credible Interval: 0.883-0.895), artificial surface (1.028; 1.022-1.034), road capacity (1.033; 1.028-1.038), temperature (1.039; 1.028-1.05), and relative humidity (1.015; 1.01-1.021) were statistically retained in the final spatiotemporal model. More comprehensive environmental factors were identified as associating with HFMD incidence. Taking these environmental factors into consideration for prevention and control strategy might be of great practical significance.
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