scholarly journals The relationship between meteorological factors and the risk of bacillary dysentery in Hunan Province, China

Weather ◽  
2018 ◽  
Vol 74 (4) ◽  
pp. 148-153 ◽  
Author(s):  
Xuewen Li ◽  
Ning Wang ◽  
Guoyong Ding ◽  
Xiaomei Li ◽  
Xiaojia Xue
Keyword(s):  
Bacillary Dysentery ◽  
Meteorological Factors ◽  
Hunan Province ◽  
The Relationship

scholarly journals The relationship between meteorological factors and mumps incidence in Guangzhou, China, 2005–2012:

2014 ◽  
Vol 10 (8) ◽  
pp. 2421-2432 ◽  
Author(s):  
Qiongying Yang ◽  
Zhicong Yang ◽  
Haiyuan Ding ◽  
Xiao Zhang ◽  
Zhiqiang Dong ◽  
...  
Keyword(s):  
Meteorological Factors ◽  
The Relationship

scholarly journals Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

2019 ◽  
Vol 24 (1) ◽  
Author(s):  
Qiuyu Meng ◽  
Xun Liu ◽  
Jiajia Xie ◽  
Dayong Xiao ◽  
Yi Wang ◽  
...  
Keyword(s):  
Urban Areas ◽  
Prediction Models ◽  
Mean Squared Error ◽  
Bacillary Dysentery ◽  
Meteorological Factors ◽  
Health Planning ◽  
Scientific Basis ◽  
Air Pressure ◽  
Support Vector ◽  
Epidemiological Characteristics

Abstract Background This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for the prevention and control of BD. Methods In this study, descriptive methods were employed to investigate the epidemiological distribution of BD. The Boruta algorithm was used to estimate the correlation between meteorological factors and BD incidence. The genetic algorithm (GA) combined with support vector regression (SVR) was used to establish the prediction models for BD incidence. Results In total, 68,855 cases of BD were included. The incidence declined from 36.312/100,000 to 23.613/100,000, with an obvious seasonal peak from May to October. Males were more predisposed to the infection than females (the ratio was 1.118:1). Children < 5 years old comprised the highest incidence (295.892/100,000) among all age categories, and pre-education children comprised the highest proportion (34,658 cases, 50.335%) among all occupational categories. Eight important meteorological factors, including the highest temperature, average temperature, average air pressure, precipitation and sunshine, were correlated with the monthly incidence of BD. The obtained mean absolute percent error (MAPE), mean squared error (MSE) and squared correlation coefficient (R2) of GA_SVR_MONTH values were 0.087, 0.101 and 0.922, respectively. Conclusion From 2009 to 2016, BD incidence in Chongqing was still high, especially in the main urban areas and among the male and pre-education children populations. Eight meteorological factors, including temperature, air pressure, precipitation and sunshine, were the most important correlative feature sets of BD incidence. Moreover, BD incidence prediction models based on meteorological factors had better prediction accuracies. The findings in this study could provide a panorama of BD in Chongqing and offer a useful approach for predicting the incidence of infectious disease. Furthermore, this information could be used to improve current interventions and public health planning.

Meteorological Factors Affected Dew Condensation in Marsh Ecosystem

2014 ◽  
Vol 535 ◽  
pp. 360-363 ◽  
Author(s):  
Ying Ying Xu ◽  
Bai Xing Yan ◽  
Hui Zhu
Keyword(s):  
Meteorological Factors ◽  
Meteorological Condition ◽  
Sanjiang Plain ◽  
Dew Point ◽  
Nutrient Cycle ◽  
The Sanjiang Plain ◽  
Dew Formation ◽  
Key Factor ◽  
The Relationship ◽  
Dew Amount

Dew is one of crucial factors in the water and nutrient cycle in wetland ecosystem, especially playing an important role in the water and nutrients balance. Identifying the meteorological factors which affect the formation of dew is necessary. The meteorological condition is the key factor of dew condensing; therefore, it is necessary to identify the relationship between meteorological factors and dew formation. Dew amount was monitored and collected in the Sanjiang Plain. The highest mean dew amounts at Sanjiang Plain were observed in Craex lasiocarpa community (0.130mm night-1). Nearly 50% dew events correspond to the smallest yields (<0.04 mm="" night="" sup="">-1) and it is implies there are around half days are unsuitable for dew condensation in Craex lasiocarpa community. Our study impies that dew data, taken in growthing season of 2003 to 2005 and 2008, correlated positive with relative humidity, dew point temperature, and vapour pressure.

The Relationship and Regression Analysis of Urban Water Supply and Temperature

2012 ◽  
Vol 256-259 ◽  
pp. 2420-2423
Author(s):  
Heng Hua Shi ◽  
Wen Guo Weng ◽  
Zheng Gan Zhai ◽  
Yuan Yuan Li
Keyword(s):  
Regression Analysis ◽  
Water Supply ◽  
Meteorological Factors ◽  
Supply System ◽  
Scientific Management ◽  
Urban Water ◽  
Urban Water Supply ◽  
Analysis Method ◽  
Factors Affecting ◽  
The Relationship

Urban water supply system and the people’s daily life are closely related. In addition to the urban population, the structure and the scale of economic, the factors affecting the requirement of urban water supply included the meteorological factors such as temperature. Based on Pearson product-moment correlation coefficient, we analyze the relationship between urban water supply and temperature with the actual data of Beijing from 2008 year to 2009 year, and get regression fitting function with multiple regression analysis method. The analysis result can provide the basis for scientific management and accurately predict urban water supply.

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