scholarly journals A descriptive analysis of the Spatio-temporal distribution of intestinal infectious diseases in China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ying Mao ◽  
Ning Zhang ◽  
Bin Zhu ◽  
Jinlin Liu ◽  
Rongxin He
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
James E. Valcour ◽  
Dominique F. Charron ◽  
Olaf Berke ◽  
Jeff B. Wilson ◽  
Tom Edge ◽  
...  

2021 ◽  
Vol 129 (s2) ◽  
Author(s):  
Aditya Doni Pradana ◽  
Raissa Virgy Rianda ◽  
Zhanna Ovitha Riskhathusa ◽  
Swastika A. S. Asri ◽  
Rama Azalix Rianda ◽  
...  

Background: Hepatitis A virus (HAV) is one of the most serious notifiable viral hepatitis and causing public health problems in Indonesia. The outbreaks of HAV in Indonesia have been reported in several sites from 1998-2018, however systematic epidemiological data regarding Spatio-temporal distribution of HAV outbreaks are lacking. Aims: To explore, visualize, and report systematically the recent HAV outbreak and identify the socioeconomic determinants associated with the risk of HAV outbreak.


2013 ◽  
Vol 38 (7) ◽  
pp. 1286-1294 ◽  
Author(s):  
Zong-Xin LI ◽  
Yuan-Quan CHEN ◽  
Qing-Cheng WANG ◽  
Kai-Chang LIU ◽  
Wang-Sheng GAO ◽  
...  

2019 ◽  
Author(s):  
Rudra Mohan Pradhan ◽  
◽  
Karrie A. Weber ◽  
Karrie A. Weber ◽  
Daniel Snow ◽  
...  

2021 ◽  
Vol 13 (5) ◽  
pp. 892
Author(s):  
Xiaomei Li ◽  
Pinhua Xie ◽  
Ang Li ◽  
Jin Xu ◽  
Zhaokun Hu ◽  
...  

This paper studied the method for converting the aerosol extinction to the mass concentration of particulate matter (PM) and obtained the spatio-temporal distribution and transportation of aerosol, nitrogen dioxide (NO2), sulfur dioxide (SO2), and formaldehyde (HCHO) based on multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations in Dalian (38.85°N, 121.36°E), Qingdao (36.35°N, 120.69°E), and Shanghai (31.60°N, 121.80°E) from 2019 to 2020. The PM2.5 measured by the in situ instrument and the PM2.5 simulated by the conversion formula showed a good correlation. The correlation coefficients R were 0.93 (Dalian), 0.90 (Qingdao), and 0.88 (Shanghai). A regular seasonality of the three trace gases is found, but not for aerosols. Considerable amplitudes in the weekly cycles were determined for NO2 and aerosols, but not for SO2 and HCHO. The aerosol profiles were nearly Gaussian, and the shapes of the trace gas profiles were nearly exponential, except for SO2 in Shanghai and HCHO in Qingdao. PM2.5 presented the largest transport flux, followed by NO2 and SO2. The main transport flux was the output flux from inland to sea in spring and winter. The MAX-DOAS and the Copernicus Atmosphere Monitoring Service (CAMS) models’ results were compared. The overestimation of NO2 and SO2 by CAMS is due to its overestimation of near-surface gas volume mixing ratios.


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