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 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.

Investigating the temporal and spatial distribution of foot‐and‐mouth disease virus serotype C in the Region of South America, 1968‐2016.

2018 ◽  
Vol 66 (2) ◽  
pp. 653-661 ◽  
Author(s):  
Manuel José Sanchez‐Vazquez ◽  
Lia Puppim Buzanovsky ◽  
Alexandre Guerra dos Santos ◽  
Rossana Maria Allende ◽  
Ottorino Cosivi ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
South America ◽  
Disease Virus ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Temporal And Spatial Distribution ◽  
Mouth Disease Virus ◽  
Virus Serotype ◽  
Foot And Mouth ◽  
Temporal And Spatial

scholarly journals History and epidemiology of foot-and-mouth disease in Afghanistan: a retrospective study

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Arash Osmani ◽  
Ian Duncan Robertson ◽  
Ihab Habib ◽  
Ahmad Arash Aslami
Keyword(s):  
Retrospective Study ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Passive Surveillance ◽  
Temporal And Spatial Distribution ◽  
North West ◽  
The North ◽  
Serotype O ◽  
Foot And Mouth ◽  
Temporal And Spatial

Abstract Background Foot and mouth disease (FMD) is endemic in Afghanistan with serotypes O, A and Asia 1 being prevalent. A retrospective study of data collected through passive surveillance of outbreaks of FMD in Afghanistan from 1995 to 2016 was undertaken to determine the temporal and spatial distribution of FMD in the country. Results A total of 4171 outbreaks were reported between 1995 and 2008 with a strong correlation between the number of outbreaks and the number of provinces (r = 0.85, s = 68.2, p < 0.001); and between the number of outbreaks and the number of districts containing infected animals (r = 0.68, s = 147.8, p = 0.008). Of 7558 samples collected from livestock originating from 34 provinces in 2009, 2011 and 2013–2015, 54.1% were test positive (FMDV 3ABC-trapping ELISA) and the prevalence varied significantly between years (χ2 = 263.98, df = 4, P < 0.001). Clinically suspected cases were reported in 2016 with a substantial positive correlation (r = 0.70, P < 0.001) between the number of districts with cases and the number of reported cases. Serotype O was the predominant serotype detected during the study period, although serotypes A and Asia1 were also detected. Cattle were involved in all outbreaks in the study period and infections were detected in all years of the study in Hirat province in the north-west (bordering Iran), Nangarhar province in the east (bordering Pakistan) and Kabul province in the centre of the country. Conclusions The current paper was the first analysis of existing data focusing on the spatiotemporal distribution of FMD in Afghanistan. The findings from this study provide valuable direction for further research to understand the epidemiology of FMD and its control in Afghanistan.

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