| 4 | Surveillance system-based physician reporting of pneumonia of unknown etiology in China:A cross-sectional study显示文摘Objective:To describe the current reporting of pneumonia of unknown etiology(PUE)and factors that affect reporting by clinicians in China using the PUE surveillance system in order to provide a reference for improving PUE reporting rates in the future.Methods:Clinicians were recruited via the Sojump platform and requested to complete an anonymous self-administered questionnaire.Multivariate logistic regression analysis was used to assess factors influencing clinicians’reporting activities.Results:This study showed a low PUE case reporting rate and a poor understanding of PUE reporting among the investigated clinicians.Of the 136 clinicians who had diagnosed PUE cases,multivariate logistic regression analysis results showed that clinicians who had attended in-hospital training were more likely to report PUE than those who had not(OR 4.48,95%CI 1.49-13.46).Clinicians with an expert panel on PUE in their hospital were more likely to report PUE cases than those without(OR 5.46,95%CI 1.85-16.11).Conclusions:There is a need to promote and reinforce PUE surveillance system training among medical staff.In addition,PUE testing technologies in hospital laboratories should be upgraded,especially in primary and unclassified hospitals,to increase surveillance efficiency and improve PUE reporting rates. | Hongchun Du Yajuan Zhu Yan Chen Shidan Zhou Jiani Tong Yingnan Deng Dingmei Zhang | 2022 | Asian Pacific Journal of Tropical Medicine2022，15，4： | 0 |
| 5 | Wind regime features and their impacts on the middle reaches of the Yarlung Zangbo River on the Tibetan Plateau, China显示文摘The wide valley of the Yarlung Zangbo River is one of the most intense areas in terms of aeolian activity on the Tibetan Plateau,China.In the past,the evaluation of the intensity of aeolian activity in the Quxu–Sangri section of the Yarlung Zangbo River Valley was mainly based on data from the old meteorological stations,especially in non-sandy areas.In 2020,six new meteorological stations,which are closest to the new meteorological stations,were built in the wind erosion source regions(i.e.,sandy areas)in the Quxu–Sangri section.In this study,based on mathematical statistics and empirical orthogonal function(EOF)decomposition analysis,we compared the difference of the wind regime between new meteorological stations and old meteorological stations from December 2020 to November 2021,and discussed the reasons for the discrepancy.The results showed that sandy and non-sandy areas differed significantly regarding the mean velocity(8.3(±0.3)versus 7.7(±0.3)m/s,respectively),frequency(12.9%(±6.2%)versus 2.9%(±1.9%),respectively),and dominant direction(nearly east or west versus nearly north or south,respectively)of sand-driving winds,drift potential(168.1(±77.3)versus 24.0(±17.9)VU(where VU is the vector unit),respectively),resultant drift potential(92.3(±78.5)versus 8.7(±9.2)VU,respectively),and resultant drift direction(nearly westward or eastward versus nearly southward or northward,respectively).This indicated an obvious spatial variation in the wind regime between sandy and non-sandy areas and suggested that there exist problems when using wind velocity data from non-sandy areas to evaluate the wind regime in sandy areas.The wind regime between sandy and non-sandy areas differed due to the differences in topography,heat flows,and their coupling with underlying surface,thereby affecting the local atmospheric circulation.Affected by large-scale circulations(westerly jet and Indian monsoon systems),both sandy and non-sandy areas showed similar seasonal variations in their respective wind regime.These findings provide a credible reference for re-understanding the wind regime and scientific wind-sand control in the middle reaches of the Yarlung Zangbo River Valley. | ZHANG Yan ZHANG Zhengcai MA Pengfei PAN Kaijia ZHA Duo CHEN Dingmei SHEN Caisheng LIANG Aimin | 2023 | Journal of Arid Land2023，15，10： | 0 |
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