ArticleBMC infectious diseases2018
Space-time heterogeneity of hand, foot and mouth disease in children and its potential driving factors in Henan, China.
Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Association of Short-Term Exposure to Meteorological Factors and Risk of Hand, Foot, and Mouth Disease: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2020Pooled it
- Spatiotemporal filtering modeling of hand, foot, and mouth disease: a case study from East China, 2009-2015.Epidemiology and infection · 2025Article
- Geospatial analysis of spatial distribution, patterns, and relationships of health status in the belt and road initiative.Scientific reports · 2024Article
- Global trends and spatial drivers of diabetes mellitus mortality, 1990-2019: a systematic geographical analysis.Frontiers in endocrinology · 2024Article
- Identifying the Environmental Determinants of Lung Cancer: A Case Study of Henan, China.GeoHealth · 2023Article
- Combined impacts of environmental and socioeconomic covariates on HFMD risk in China: A spatiotemporal heterogeneous perspective.PLoS neglected tropical diseases · 2023Article
- Research on hand, foot and mouth disease incidence forecasting using hybrid model in mainland China.BMC public health · 2023Article
- Spatiotemporal cluster patterns of hand, foot, and mouth disease at the province level in mainland China, 2011-2018.PloS one · 2022Article
- Association of environmental factors and high HFMD occurrence in northern Thailand.BMC public health · 2020Article
- Article
- Integration of a Kalman filter in the geographically weighted regression for modeling the transmission of hand, foot and mouth disease.BMC public health · 2020Article
- A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease.Advances in difference equations · 2020Article
- A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China.Scientific reports · 2019Article
- Spatial-temporal heterogeneity of hand, foot and mouth disease and impact of meteorological factors in arid/ semi-arid regions: a case study in Ningxia, China.BMC public health · 2019Article
- Spatial-temporal variation and risk factor analysis of hand, foot, and mouth disease in children under 5 years old in Guangxi, China.BMC public health · 2019Article
- Spatiotemporal Distribution of Hand, Foot, and Mouth Disease in Guangdong Province, China and Potential Predictors, 2009⁻2012.International journal of environmental research and public health · 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
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundHand, foot and mouth disease (HFMD) has become a substantial threat recently. However few studies have quantified spatiotemporal heterogeneity of HFMD and detected spatiotemporal interactive effect of potential driving factors on this disease.
methodsUsing GeoDetector and Bayesian space-time hierarchy model, we characterized the epidemiology of HFMD in Henan, one of the largest population provinces in China, from 2012 to 2013, and quantified the impacts of potential driving factors.
resultsNotably, 21.43 and 24.60% counties were identified as hot and cold spots, respectively. Spatially, the hotspots were mainly clustered in regions where the economic level was high. Temporally, the highest incidence period of HFMD was discovered to be in late spring and early summer. The impact of meteorological and socio-economic factors on the disease are significant, and this study found that a 1 °C rise in temperature was related to an increase of 4.09% in the HFMD incidence, a 1% increment in relative humidity was associated with a 1.77% increase of the disease, and a 1% increment in ratio of urban to rural population was associated with a 0.16% increase of the disease.
conclusionMeteorological and socio-economic factors presented significantly association with HFMD incidence, high-risk mainly appeared in large cities and their adjacent regions in hot and humid season. These findings will be helpful for HFMD risk control and disease-prevention policies implementation.
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.