Exploring spatiotemporal nonstationary effects of climate factors on hand, foot, and mouth disease using Bayesian Spatiotemporally Varying Coefficients (STVC) model in Sichuan, China

2019 ◽  
Vol 648 ◽  
pp. 550-560 ◽  
Author(s):  
Chao Song ◽  
Xun Shi ◽  
Yanchen Bo ◽  
Jinfeng Wang ◽  
Yong Wang ◽  
...  
Keyword(s):  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Climate Factors ◽  
Varying Coefficients ◽  
Foot And Mouth ◽  
Nonstationary Effects

scholarly journals Spatial and Temporal Characteristics of Hand-Foot-and-Mouth Disease and Its Response to Climate Factors in the Ili River Valley Region of China

2021 ◽  
Vol 18 (4) ◽  
pp. 1954
Author(s):  
Suyan Yi ◽  
Hongwei Wang ◽  
Shengtian Yang ◽  
Ling Xie ◽  
Yibo Gao ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
River Valley ◽  
Climate Factors ◽  
Temporal And Spatial Distribution ◽  
Positive Correlation ◽  
Ili River Valley ◽  
Foot And Mouth ◽  
Temporal And Spatial

Background: As the global climate changes, the number of cases of hand-foot-and-mouth disease (HFMD) is increasing year by year. This study comprehensively considers the association of time and space by analyzing the temporal and spatial distribution changes of HFMD in the Ili River Valley in terms of what climate factors could affect HFMD and in what way. Methods: HFMD cases were obtained from the National Public Health Science Data Center from 2013 to 2018. Monthly climate data, including average temperature (MAT), average relative humidity (MARH), average wind speed (MAWS), cumulative precipitation (MCP), and average air pressure (MAAP), were obtained from the National Meteorological Information Center. The temporal and spatial distribution characteristics of HFMD from 2013 to 2018 were obtained using kernel density estimation (KDE) and spatiotemporal scan statistics. A regression model of the incidence of HFMD and climate factors was established based on a geographically and temporally weighted regression (GTWR) model and a generalized additive model (GAM). Results: The KDE results show that the highest density was from north to south of the central region, gradually spreading to the whole region throughout the study period. Spatiotemporal cluster analysis revealed that clusters were distributed along the Ili and Gongnaisi river basins. The fitted curves of MAT and MARH were an inverted V-shape from February to August, and the fitted curves of MAAP and MAWS showed a U-shaped change and negative correlation from February to May. Among the individual climate factors, MCP coefficient values varied the most while MAWS values varied less from place to place. There was a partial similarity in the spatial distribution of coefficients for MARH and MAT, as evidenced by a significant degree of fit performance in the whole region. MCP showed a significant positive correlation in the range of 15–35 mm, and MAAP showed a positive correlation in the range of 925–945 hPa. HFMD incidence increased with MAT in the range of 15–23 °C, and the effective value of MAWS was in the range of 1.3–1.7 m/s, which was positively correlated with incidences of HFMD. Conclusions: HFMD incidence and climate factors were found to be spatiotemporally associated, and climate factors are mostly non-linearly associated with HFMD incidence.

scholarly journals Leading Enterovirus Genotypes Causing Hand, Foot, and Mouth Disease in Guangzhou, China: Relationship with Climate and Vaccination against EV71

2021 ◽  
Vol 18 (1) ◽  
pp. 292
Author(s):  
Zhicheng Du ◽  
Yong Huang ◽  
Wayne R. Lawrence ◽  
Jianxiong Xu ◽  
Zhicong Yang ◽  
...  
Keyword(s):  
Linear Models ◽  
Foot And Mouth Disease ◽  
Vaccination Rate ◽  
Mouth Disease ◽  
Genotype Frequency ◽  
Targeted Prevention ◽  
Climate Factors ◽  
Contributing Factors ◽  
Foot And Mouth ◽  
Log Ratio

(1) Background: Assignment of pathogens to the correct genus, species, and type is vital for controlling infectious epidemics. However, the role of different enteroviruses during hand, foot, and mouth disease (HFMD) epidemics and the major contributing factors remain unknown. (2) Methods: HFMD cases from 2016 to 2018 in Guangzhou, China were collected. The relationship between HFMD cases and genotype frequency, as well as the association between genotype frequency and climate factors, were studied using general linear models. We transformed the genotype frequency to the isometric log-ratio (ILR) components included in the model. Additionally, vaccination rates were adjusted in the climate-driven models. (3) Results: We observed seasonal trends in HFMD cases, genotype frequency, and climate factors. The model regressing case numbers on genotype frequency revealed negative associations with both the ILRs of CAV16 (RR = 0.725, p < 0.001) and EV71 (RR = 0.421, p < 0.001). The model regressing genotype frequency on driven factors showed that the trends for EV71 proportions were inversely related to vaccination rate (%, β = −0.152, p = 0.098) and temperature (°C, β = −0.065, p = 0.004). Additionally, the trends for CVA16 proportions were inversely related to vaccination rate (%, β = −0.461, p = 0.004) and temperature (°C, β = −0.068, p = 0.031). The overall trends for genotype frequency showed that EV71 decreased significantly, while the trends for CVA16 increased annually. (4) Conclusions: Our findings suggest a potential pathway for climate factors, genotype frequency, and HFMD cases. Our study is practical and useful for targeted prevention and control, and provides environmental-based evidence.

scholarly journals Temporal and spatial analysis of hand, foot, and mouth disease in relation to climate factors: A study in the Mekong Delta region, Vietnam

2017 ◽  
Vol 581-582 ◽  
pp. 766-772 ◽  
Author(s):  
Huong Xuan Nguyen ◽  
Cordia Chu ◽  
Huong Lien Thi Nguyen ◽  
Ha Thanh Nguyen ◽  
Cuong Manh Do ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Mekong Delta ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Climate Factors ◽  
Delta Region ◽  
Foot And Mouth ◽  
Temporal And Spatial

scholarly journals Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Zhi-Min Hong ◽  
Hu-Hu Wang ◽  
Yan-Juan Wang ◽  
Wen-Rui Wang
Keyword(s):  
Geographically Weighted Regression ◽  
Time Lag ◽  
Cumulative Risk ◽  
Foot And Mouth Disease ◽  
Spatiotemporal Analysis ◽  
Temporal Variations ◽  
Mouth Disease ◽  
Weighted Regression ◽  
Climate Factors ◽  
Foot And Mouth

Hand, Foot, and Mouth Disease (HFMD) is a common and widespread infectious disease. Previous studies have presented evidence that climate factors, including the monthly averages of temperature, relative humidity, air pressure, wind speed and Cumulative Risk (CR) all have a strong influence on the transmission of HFMD. In this paper, the monthly time-lag geographically- weighted regression model was constructed to investigate the spatiotemporal variations of effect of climate factors on HFMD occurrence in Inner Mongolia Autonomous Region, China. From the spatial and temporal perspectives, the spatial and temporal variations of effect of climate factors on HFMD incidence are described respectively. The results indicate that the effect of climate factors on HFMD incidence shows very different spatial patterns and time trends. The findings may provide not only an indepth understanding of spatiotemporal variation patterns of the effect of climate factors on HFMD occurrence, but also provide helpful evidence for making measures of HFMD prevention and control and implementing appropriate public health interventions at the county level in different seasons.

Biophysical Measurement of Molecular Weight of Foot-and-Mouth Disease RNA Fragments

1974 ◽  
Vol 32 ◽  
pp. 262-263
Author(s):  
Sydney S. Breese ◽  
Howard L. Bachrach
Keyword(s):  
Chemical Properties ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Distilled Water ◽  
Bovine Plasma ◽  
Mouth Disease Virus ◽  
Foot And Mouth ◽  
Carbon Coated ◽  
Rna Fragments ◽  
Physical And Chemical

Continuing studies on the physical and chemical properties of foot-and-mouth disease virus (FMDV) have included electron microscopy of RNA strands released when highly purified virus (1) was dialyzed against demlneralized distilled water. The RNA strands were dried on formvar-carbon coated electron microscope screens pretreated with 0.1% bovine plasma albumin in distilled water. At this low salt concentration the RNA strands were extended and were stained with 1% phosphotungstic acid. Random dispersions of strands were recorded on electron micrographs, enlarged to 30,000 or 40,000 X and the lengths measured with a map-measuring wheel. Figure 1 is a typical micrograph and Fig. 2 shows the distributions of strand lengths for the three major types of FMDV (A119 of 6/9/72; C3-Rezende of 1/5/73; and O1-Brugge of 8/24/73.

High resolution surface structure of foot-and-mouth disease virus

1978 ◽  
Vol 36 (2) ◽  
pp. 376-377
Author(s):  
S. S. Breese ◽  
H. L. Bachrach
Keyword(s):  
Electron Microscopy ◽  
High Resolution ◽  
Surface Structure ◽  
Disease Virus ◽  
Potassium Phosphate ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Physical Measurements ◽  
Mouth Disease Virus ◽  
Foot And Mouth

Models for the structure of foot-and-mouth disease virus (FMDV) have been proposed from chemical and physical measurements (Brown, et al., 1970; Talbot and Brown, 1972; Strohmaier and Adam, 1976) and from rotational image-enhancement electron microscopy (Breese, et al., 1965). In this report we examine the surface structure of FMDV particles by high resolution electron microscopy and compare it with that of particles in which the outermost capsid protein VP3 (ca. 30, 000 daltons) has been split into smaller segments, two of which VP3a and VP3b have molecular weights of about 15, 000 daltons (Bachrach, et al., 1975).Highly purified and concentrated type A12, strain 119 FMDV (5 mg/ml) was prepared as previously described (Bachrach, et al., 1964) and stored at 4°C in 0. 2 M KC1-0. 5 M potassium phosphate buffer at pH 7. 5. For electron microscopy, 1. 0 ml samples of purified virus and trypsin-treated virus were dialyzed at 4°C against 0. 2 M NH4OAC at pH 7. 3, deposited onto carbonized formvar-coated copper screens and stained with phosphotungstic acid, pH 7. 3.

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