Background: Hand, foot and mouth disease (HFMD) incidence is a critical challenge to disease control and prevention in parts of China, particularly Guangxi. However, the association between socioeconomic factors and meteorological factors on HFMD is still unclear.Methods: This study applied global and local Moran’sIto examine the spatial pattern of HFMD and series analysis to explore the temporal pattern. The effects of meteorological factors and socioeconomic factors on HFMD incidence in Guangxi, China were analyzed using GeoDetector Model.Results: This study collected 45,522 cases from 87 counties in Guangxi during 2015, among which 43,711 cases were children aged 0–4 years. Temporally, there were two HFMD risk peaks in 2015. One peak was in September with 7890 cases. The other appeared in May with 4687 cases of HFMD. A high-risk cluster was located in the valley areas. The tertiary industry, precipitation and second industry had more influence than other risk factors on HFMD incidence with explanatory powers of 0.24, 0.23 and 0.21, respectively. The interactive effect of any two risk factors would enhance the risk of HFMD.Conclusions: This study suggests that precipitation and tertiary industry factors might have stronger effects on the HFMD incidence in Guangxi, China, compared with other factors. High-risk of HFMD was identified in the valley areas characterized by high temperature and humidity. Local government should pay more attention and strengthen public health services level in this area.

BackgroundThe association between environmental factors and asthma has attracted much attention. Numerous studies have focused on the effects of air pollution or meteorological factors, but the synergistic effects and regional heterogeneity remain unclear. MethodsBetween 2014 and 2015, 8,563 hospital admissions in 2014 and 7,804 hospital admissions in 2015 due to asthma were collected from 14 regions in Guangxi, China. First, we performed a Spearman correlation coefficient model as the single factor analysis to estimate correlation between environmental factors and asthma hospitalization rates in multiple regions. Second, Generalized Additive Model (GAM) was used to analyze the synergistic effects of environmental factors on asthma hospitalization rates in 14 regions, respectively.ResultsThe results indicated that asthma hospitalization rates were high in spring and autumn. There were all nonlinear relationships between air pollutants, meteorological factors and asthma hospitalization rates, and the relationships were different from region to region. According to the single factor analysis, asthma hospitalizations were related to the daily temperature, daily range of temperature, CO, NO₂, and PM_2.5 in multiple regions. According to the result of synergistic effects analysis, the adjusted R-square was high in Beihai and Nanning, with values of 0.292 and 0.207, which meant that environmental factors were powerful in explaining changes of asthma hospitalization rates in Beihai and Nanning.ConclusionDaily range of temperature is an important factor impact on asthma, which should be considered in the analysis of environmental factors impact on asthma. It is suggested that the relationship between asthma and risk factors in different regions deserves additional study. Governments should develop targeted protective measures for asthma in different regions.