taiwan province
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2022 ◽  
Vol 114 ◽  
pp. 105951
Author(s):  
Xuhong Yang ◽  
Xiaobin Jin ◽  
Qiaofeng Xue ◽  
Yinkang Zhou

Zootaxa ◽  
2021 ◽  
Vol 4969 (3) ◽  
pp. 573-580
Author(s):  
MENG-YUAN ZHAO ◽  
YU-ZHOU DU

Two new species of Amphinemura were described and illustrated from Taiwan Province of China: Amphinemura reni Du & Zhao, sp. nov. and Amphinemura triquetra Zhao & Du, sp. nov. The morphological characteristics of the new species were compared to related taxa. Additionally, a key to the adult males of Amphinemura known from Taiwan Province of China was given in this paper. 


2021 ◽  
Vol 36 (8) ◽  
pp. 2163
Author(s):  
Xu-hong YANG ◽  
Qiao-feng XUE ◽  
Yin-kang ZHOU
Keyword(s):  

2021 ◽  
Vol 257 ◽  
pp. 03046
Author(s):  
Haoyuan Zhang

This paper analyzes the concentration data of PM2.5, SO2, NO2, CO and O3 recorded at 25 monitoring points in northern Taiwan in 2015. The geographical distribution and seasonal changes of PM2.5 are assessed. The geographical distribution is higher in cities than in rural areas, and higher in the west and the middle than the east. In the seasonal changes, the pollution is the most serious in spring and lightest in autumn. The author uses Pearson correlation coefficient to analyze the correlation between PM2.5 and gaseous pollutants (SO2, NO2, CO and O3). The PM2.5 concentration in Northern-Taiwan Province has a strong correlation with SO2, NO2 and CO, and a weak correlation with O3.


2020 ◽  
Author(s):  
Jing-Zhong Wang ◽  
Xuan Zou ◽  
Zi-Qian Xu ◽  
Hai-Rui Wang ◽  
Bi-Xin Wang ◽  
...  

Abstract Background The COVID-19 confirmed cases overseas continue to rise for months, while people overseas prefer to return at present. It is risky to have a large number of infected imported cases which may cause COVID-19 spread to China and even lead to outbreak again. In order to prevent imported infection, Shenzhen implemented the losed-loop management strategy by taking nucleic acid testing (NAT) for severe acute respiratory syndromes coronavirus 2 (SARS-CoV-2) and medical observation for 14 days among individuals who have epidemic history (Hong Kong, Macao, Taiwan province and other countries) within 14 days. Our study described the status of COVID-19 infection among entry people in Shenzhen, and also evaluated the effect of closed-loop management strategy.Methods A total of 86,844 people overseas entered Shenzhen from January 1 to April 18, 2020, and there were 39 imported cases. We made a descriptive study by analyzing the entry time, reported time, local confirmed cases in origin countries, and the number of entry people from abroad. The NAT were completed in Shenzhen center for disease control and prevention (CDC), ten district-level CDCs, as well as fever clinics.Results The infection rate of entry people was 4.49‰ (95% CI: 3.26‰ − 6.05‰). Most of the entry people or imported cases have Chinese nationality. The number of entry people and imported cases in Nanshan and Futian districts were larger than others. 15.73% of the entry people came from the US, and 12.67% came from the UK. 14 imported cases (35.9%) came from the UK, 9 (23.08%) came from the US. The imported risks from the US and UK in Shenzhen were higher than other countries or regions. According to the 14-days’ incubation period and the number of entry people, individuals from the US since Mar 9 were the high-risk population. Accordingly, entry people from the UK since Mar 13 were the high-risk population. It is important to evaluate the imported risk by analyzing local confirmed cases status in origin countries or regions and the number of entry people from these countries or regions to Shenzhen. The distribution of entry time and report time for imported cases in Shenzhen were similar. So it is important to prevent and control COVID-19 imported infection by taking NAT and medical observation at port.Conclusions It is effective to implement closed-loop management strategy for individuals who have epidemic history (Hong Kong, Macao, Taiwan province and other countries) within 14 days. In order to control COVID-19 outbreak, we need the collaboration and cooperation at the global, national, and subnational levels to prevent, detect, and respond effectively.


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