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Together We Stand, United in Love “In the Name of Love” Planning Committee Week Two Report 2020/02/24 - 2020/03/01
Together We Stand, United In Love “In the Name of Love” Planning Committee Week Two Report 2020/02/24 - 2020/03/01 This was a busy but happy week for the planning committee. As soon as we received a portion of donations last week, we immediately purchased 20 oxygen concentrators and sent them to five hospitals in Wuhan. On the morning of Monday, Feb. 24, we purchased an additional 10 oxygen concentrators to be sent to another three Hubei hospitals. These eight hospitals were the result of a careful selection process and were determined to have the most urgent need on the frontlines. Since purchasing the devices, we have kept a watchful eye on their movements every day. Though our shipments encountered delays due to road closures in certain regions, as of Mar. 01, 28 of the 30 donated oxygen concentrators have reached their intended hospitals. The other two are still en route to their destination of Wufeng Tujia Autonomous County No.2 People’s Hospital. Details of Spreadsheet of all the recipient hospitals Hospital proof of receipt Hospital proof of receipt Hospitals receiving shipments Donations have continued to come in this week, and our “Restaurants in Action” event has received enthusiastic support from community restaurants. On the night of Feb. 28, the planning committee decided to purchase a third batch of 20 oxygen concentrators for donation. 10 of these have already been sent to the following five hospitals: 1. Yanhe Street Health Station, Henglin, Tianmen City: 2 devices 2. Jiuzhen Health Station, Tianmen City: 2 devices 3. Dongfeng Street Central Health Station, Lushi, Tianmen City: 2 devices 4. -
ERJ-00562-2020.Shareable
ORIGINAL ARTICLE | INFECTIOUS DISEASE Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China Wen-hua Liang1,25, Wei-jie Guan1,25, Cai-chen Li1,25, Yi-min Li2,25, Heng-rui Liang1,25, Yi Zhao1,25, Xiao- qing Liu2, Ling Sang2,3, Ru-chong Chen4, Chun-li Tang4, Tao Wang4, Wei Wang1, Qi-hua He1, Zi-sheng Chen1, Sook-San Wong1, Mark Zanin5, Jun Liu1, Xin Xu1, Jun Huang1, Jian-fu Li1, Li-min Ou1, Bo Cheng1, Shan Xiong1, Zhan-hong Xie4, Zheng-yi Ni3,YuHu6, Lei Liu7,8, Hong Shan9, Chun-liang Lei10, Yi-xiang Peng11, Li Wei12, Yong Liu13, Ya-hua Hu14, Peng Peng15, Jian-ming Wang16, Ji-yang Liu17, Zhong Chen18, Gang Li19, Zhi-jian Zheng20, Shao-qin Qiu21, Jie Luo22, Chang-jiang Ye23, Shao-yong Zhu24, Lin-ling Cheng4, Feng Ye4, Shi-yue Li4,10, Jin-ping Zheng4, Nuo-fu Zhang4,6, Nan-shan Zhong1,26 and Jian-xing He1,26 Affiliations: 1China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. 2Dept of Pulmonary and Critical Care Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. 3Wuhan Jin-yin tan Hospital, Wuhan, China. 4Dept of Respiratory Disease, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. -
Dietary Structure and Nutritional Status of Chinese Beekeepers: Demographic Health Survey
JMIR PUBLIC HEALTH AND SURVEILLANCE Wang et al Original Paper Dietary Structure and Nutritional Status of Chinese Beekeepers: Demographic Health Survey Boshi Wang1*, MSc; Zhangkai Jason Cheng2*, PhD; Qian Xu1, BSc; Tiangang Zhu1, PhD; Lin Su1, PhD; Mingshan Xue2, MSc; Lin Pei1, PhD; Li Zhu3, BSc; Peng Liu1, PhD 1Department of Clinical Nutrition, Peking University People©s Hospital, Beijing, China 2State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China 3Wuhan Bao Chun Royal Jelly Co, Ltd, Wuhan, China *these authors contributed equally Corresponding Author: Peng Liu, PhD Department of Clinical Nutrition Peking University People©s Hospital 11 Xizhimen South Street Xicheng District Beijing, 100044 China Phone: 86 13501273877 Email: [email protected] Abstract Background: Beekeeping and honey gathering are traditional forms of agricultural farming in China. However, only few studies have focused on the nutritional status and health level of this special occupational group. Objective: By comparing the health status of apiculturists (beekeepers) and vegetable farmers in plain areas of Hubei Province, and analyzing the influence of dietary structure and intake on their nutritional level, this paper provides a scientific theoretical basis for the further development of health education and disease prevention for beekeepers. Methods: From February to April 2016, 191/236 beekeepers (80.9% of the total beekeepers) with large-scale breeding (300-500 colonies) and 182 vegetable farmers in the same area were sampled by the cluster sampling method. Their nutrient composition was analyzed using a human body composition analyzer, dietary structure information was collected using the dietary frequency query method, and cognitive function was investigated. -
Exploring the Spatial Pattern of Urban Block Development Based on POI Analysis: a Case Study in Wuhan, China
sustainability Article Exploring the Spatial Pattern of Urban Block Development Based on POI Analysis: A Case Study in Wuhan, China Hailing Xu, Jianghong Zhu * and Zhanqi Wang School of Public Administration, China University of Geosciences, Wuhan 430074, China; [email protected] (H.X.); [email protected] (Z.W.) * Correspondence: [email protected]; Tel.: +86-1339-715-7676 Received: 3 November 2019; Accepted: 4 December 2019; Published: 6 December 2019 Abstract: As a kind of geospatial big data, point of interest (POI) with useful information has become a hot research topic. Compared with traditional methods, big data has great potential in developing a more accurate method for identifying the urban spatial pattern. This paper uses diversity index and kernel density analysis of POI data on several types of urban infrastructure to investigate the identification of urban block development stages in Wuhan, and divides them into the primary, growth, and mature stage. Its accuracy is verified by exploring urban micro-centers. Results show that: (1) the spatial pattern of urban blocks in Wuhan presents the distribution of “mature blocks concentrated like a core, growth blocks distributed like two wings, and primary blocks with wide range distributed surround”; (2) areas with more connected construction land and streets with better socio-economic status tend to have a higher level of maturity, vice versa; (3) balancing the number of micro-centers at different stages is beneficial to promote the flattened urban development of Wuhan in the future. The research proves that this method is feasible, and it is also applicable to the study of urban spatial pattern in other cities. -
Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development
International Journal of Environmental Research and Public Health Article Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development Heyuan You 1,2,*, Xin Wu 1 and Xuxu Guo 1 1 School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China; [email protected] (X.W.); [email protected] (X.G.) 2 Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA * Correspondence: [email protected]; Tel.: +865-7186735200 Received: 14 April 2020; Accepted: 11 May 2020; Published: 14 May 2020 Abstract: Social and economic factors relate to the prevention and control of infectious diseases. The purpose of this paper was to assess the distribution of COVID-19 morbidity rate in association with social and economic factors and discuss the implications for urban development that help to control infectious diseases. This study was a cross-sectional study. In this study, social and economic factors were classified into three dimensions: built environment, economic activities, and public service status. The method applied in this study was the spatial regression analysis. In the 13 districts in Wuhan, the spatial regression analysis was applied. The results showed that: 1) increasing population density, construction land area proportion, value-added of tertiary industry per unit of land area, total retail sales of consumer goods per unit of land area, public green space density, aged population density were associated with an increased COVID-19 morbidity rate due to the positive characteristics of estimated coefficients of these variables. -
The Epidemiological Characteristics of Deaths with COVID-19 in the Early Stage in Wuhan, China
The Epidemiological Characteristics of Deaths with COVID-19 in The Early Stage in Wuhan, China Jianjun Bai Wuhan University Fang Shi Wuhan University Jinhong Cao Wuhan University Haoyu Wen Wuhan University Fang Wang Wuhan University Sumaira Mubarik Wuhan University Xiaoxue Liu Wuhan University Yong Yu Hubei University of Medicine Jianbo Ding YEBIO Bioengineering Co. Chuanhua Yu ( [email protected] ) Wuhan University Research Keywords: COVID-19, Coronavirus Disease 2019, Wuhan city, Epidemiological characteristic, Death Posted Date: October 26th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-93945/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/18 Version of Record: A version of this preprint was published on December 21st, 2020. See the published version at https://doi.org/10.1186/s41256-020-00183-y. Page 2/18 Abstract Objectives To analyze the epidemiological characteristics of deaths of COVID-19 in Wuhan, China and understand the changing trends of the COVID-19 epidemic and the effects of prevention and control measures in Wuhan. Methods Through the China's Infectious Disease Information System, we collected deaths’ information in Wuhan. We analyzed the patient's demographic characteristics, drew epidemiological curve, made distribution map of epidemic situation, etc. @Risk for tting distribution, SPSS for statistical analysis, and ArcGIS for mapping. Results As of February 24, 2020, a total of 1833 unique deaths were extracted. Among the deaths with COVID-19, the mild type accounted for the most, 37.2%, followed by severe type, 30.1%. The median age was 70.0 (inter quartile range: 63.0-79.0) years, most of the deaths were distributed in 50-89 age group; no deaths occurred in 0-9 age group; and the male to female ratio was 1.95. -
Feasibility Analysis of Green Travel in Public Transportation: a Case Study of Wuhan
sustainability Article Feasibility Analysis of Green Travel in Public Transportation: A Case Study of Wuhan Junjun Zheng, Yi Cheng, Gang Ma *, Xue Han and Liukai Yu Economics and Management School, Wuhan University, Wuhan 430072, China; [email protected] (J.Z.); [email protected] (Y.C.); [email protected] (X.H.); [email protected] (L.Y.) * Correspondence: [email protected] Received: 3 July 2020; Accepted: 11 August 2020; Published: 12 August 2020 Abstract: The demand to alleviate urban traffic and reduce air pollution puts forward high requirements for green travel in public transportation. Thus, study of the feasibility of urban green travel in public transportation is necessary. This study focuses on it from two aspects: City level by complex network and individual level by structural equation model. As for the former, point of interest data on the spatial distribution of urban public transportation in Wuhan city are quantitatively analyzed. Then, a complex network of public transportation in Wuhan is constructed by using the Space L method, and the network characteristics are analyzed. Results show that accessibility coverage is mainly concentrated in the central urban area, and two significant central nodes exist, namely, Linshi and Zhaohu stations. At the individual level, 354 valid questionnaires and the structural equation model were used to explore the factors affecting individual intention of public transportation. Behavioral perceptual outcome, behavioral attitudes, and subjective norms have positive influences on the behavioral intention of public transportation, among which the behavioral attitudes are the most significant, and the subjective norms had the lowest influence. Some suggestions are proposed for Wuhan to improve urban accessibility and for individuals to increase green travel in public transportation. -
Clinical Characteristics and Outcomes of Hospitalised Patients with COVID-19 Treated in Hubei
Early View Original article Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non- epicenter): A Nationwide Analysis of China Wen-hua Liang, Wei-jie Guan, Cai-chen Li, Yi-min Li, Heng-rui Liang, Yi Zhao, Xiao-qing Liu, Ling Sang, Ru-chong Chen, Chun-li Tang, Tao Wang, Wei Wang, Qi-hua He, Zi-sheng Chen, Sook-San Wong, Mark Zanin, Jun Liu, Xin Xu, Jun Huang, Jian-fu Li, Li-min Ou, Bo Cheng, Shan Xiong, Zhan- hong Xie, Zheng-yi Ni, Yu Hu, Lei Liu, Hong Shan, Chun-liang Lei, Yi-xiang Peng, Li Wei, Yong Liu, Ya-hua Hu, Peng Peng, Jian-ming Wang, Ji-yang Liu, Zhong Chen, Gang Li, Zhi-jian Zheng, Shao-qin Qiu, Jie Luo, Chang-jiang Ye, Shao-yong Zhu, Lin-ling Cheng, Feng Ye, Shi-yue Li, Jin-ping Zheng, Nuo-fu Zhang, Nan-shan Zhong, Jian-xing He Please cite this article as: Liang W-hua, Guan W-jie, Li C-chen, et al. Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non-epicenter): A Nationwide Analysis of China. Eur Respir J 2020; in press (https://doi.org/10.1183/13993003.00562-2020). This manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. -
Disaggregation Method of Carbon Emission: a Case Study in Wuhan, China
sustainability Article Disaggregation Method of Carbon Emission: A Case Study in Wuhan, China Minghai Luo 1, Sixian Qin 1,*, Haoxue Chang 2 and Anqi Zhang 2 1 Wuhan Geomatics Institute, Wuhan 430022, China; [email protected] 2 Wuhan University, Wuhan 430079, China; [email protected] (H.C.); [email protected] (A.Z.) * Correspondence: [email protected]; Tel.: 86-027-85777350 Received: 1 March 2019; Accepted: 4 April 2019; Published: 8 April 2019 Abstract: Urban areas contribute significant carbon emissions. Evaluating and analysing the spatial distribution of carbon emissions are the foundations of low-carbon city development and carbon emissions reduction. In this study, carbon emission inventory was first constructed and carbon emissions in Wuhan were estimated on the basis of energy consumption. Second, the spatial distribution models of carbon emissions in different sectors were developed on the basis of the census of the Wuhan geographical conditions data and other thematic data. Third, the carbon emission distribution in Wuhan was analyzed at the central urban, functional, new urban, built-up, and metropolitan development area scale. Results show that the industry sector emits most of the carbon emissions in Wuhan, followed by the residential population. Carbon emissions in the metropolitan development area can stand for the true carbon emissions in Wuhan. Thus, a geographically weighted (GW) model was adopted to analyze the correlation coefficients between economical-social factors (gross domestic product, population density, road density, industrial land and residential land) and carbon emissions in the metropolitan development area. Comparisons with other studies show that the disaggregation method we proposed in this work, especially the adoption of geographical condition census data, can reflect the spatial distribution of carbon emissions of different sectors at the city scale. -
Listing of Global Companies with Ongoing Government Activity
Business Name Line of Business Ticker W A WILDE COMPANY DIRECT MAIL ADVERTISING SERVICES, NSK W B PHARMACY COUNCIL PHARMACEUTICAL PREPARATIONS W BARBOSA LTDA ME MEDICINALS AND BOTANICALS, NSK W M BAMFORD & CO LIMITED PHARMACEUTICAL PREPARATIONS W WOODWARD PAKISTAN PVT LIMITED PHARMACEUTICAL PREPARATIONS W. F. YOUNG, INCORPORATED PHARMACEUTICAL PREPARATIONS W. FELDHOFF & COMP. ARZNEIMITTEL GMBH, GOTHA PHARMACEUTICAL PREPARATIONS W. SPITZNER, ARZNEIMITTELFABRIK, GESELLSCHAFT MIT BESCHRANKTER HAFTUNG PHARMACEUTICAL PREPARATIONS W. W. GRAINGER, INC. ELECTRICAL APPARATUS AND EQUIPMENT, NSK GWW W.J.RENDELL LTD PHARMACEUTICAL PREPARATIONS W.T.CO. LTD. PHARMACEUTICAL PREPARATIONS WACKER BIOTECH GMBH PHARMACEUTICAL PREPARATIONS WADA CALCIUM PHARM CO.,LTD. PHARMACEUTICAL PREPARATIONS WAFRAPHARMA LABORATORIES PHARMACEUTICAL PREPARATIONS WAGENER & CO. GMBH PHARMACEUTICAL PREPARATIONS WAGNER-PHARMA GYOGYSZER FEJLESZTO GYARTO ES FORGALMAZO KORLATOLT FELELOSSEGU TARSASAG PHARMACEUTICAL PREPARATIONS WAHANA PANCHA NUGRAHA, PT PHARMACEUTICAL PREPARATIONS WAHL INSTRUMENTS, INC. PROCESS CONTROL INSTRUMENTS WAI YUEN TONG MEDICINE COMPANY LIMITED PHARMACEUTICAL PREPARATIONS WAINS OF TUNBRIDGE WELLS (DISTRIBUTORS) LTD PHARMACEUTICAL PREPARATIONS WAKAMOTO PHARMACEUTICAL CO.,LTD. PHARMACEUTICAL PREPARATIONS 4512 WAKANYAKU KENKYUSHO, K.K. PHARMACEUTICAL PREPARATIONS WAKE FOREST UNIVERSITY INDIVIDUAL AND FAMILY SERVICES, NSK WAKUNAGA PHARMACEUTICAL CO.,LTD. PHARMACEUTICAL PREPARATIONS WALA-HEILMITTEL GMBH MEDICINALS AND BOTANICALS, NSK WALA-HEILMITTEL GMBH MEDICINALS -
Chinese Mainland
Address List of Special Warehousing Service Note: The address marked in red are newly added address. (Effective date:October 1, 2021) Province / Directly- controlled City District/county Town, Sub-district and House Number Municipality / Autonomous Region/SAR B4-25, Gate 1, ProLogis Logistics Park, No.1 Tiedi Road, Anhui Province Hefei Shushan District High-tech Zone No.18 Tianzhushan Road, Longshan Sub-district, Wuhu Anhui Province Wuhu Jiujiang District Economic and Technological Development Zone Anhui Province Chuzhou Langya District Longji Leye Photovoltaic Co., Ltd., No.19 Huai'an Road 3/F, No.8 Building, South Area, Lixiang Innovation Park, Anhui Province Chuzhou Nanqiao District Chuzhou, 018 Township Road Anhui Province Chuzhou Nanqiao District No.19 Huai'an Road Yuanrong New Material Holding Co., Ltd., 50 Meters Anhui Province Hefei Shushan District Westward of Bridge of Intersection of Changning Avenue and Ningxi Road Anhui Province Hefei Yaohai District No.88 Dayu Road Anhui Province Hefei Yaohai District No.2177 Dongfang Avenue Beijing BOE Vision-Electronic Technology Co., Ltd., No. Anhui Province Hefei Yaohai District 2177 Dongfang Avenue Anhui Province Hefei Yaohai District No.668 Longzihu Road Anhui Province Hefei Yaohai District No. 668 Longzihu Road Anhui Province Hefei Yaohai District No.2177 Tongling North Road Anhui Province Hefei Yaohai District No.3166 Tongling North Road Anhui Province Hefei Yaohai District No.8 Xiangwang Road Anhui Province Wuhu Jiujiang District No. 8 Anshan Road Anhui Province Wuhu Jiujiang District -
Study on the Level and Type Identification of Rural Development
International Journal of Geo-Information Article Study on the Level and Type Identification of Rural Development in Wuhan City’s New Urban Districts Liang Jiang 1,2, Jing Luo 1,2, Chunyan Zhang 1,2,*, Lingling Tian 1,2, Qingqing Liu 3, Guolei Chen 4 and Ye Tian 5 1 Key Laboratory of Hubei Province, Analysis and Simulation of Geographic Process, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China; [email protected] (L.J.); [email protected] (J.L.); [email protected] (L.T.) 2 The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China 3 School of Tourism and Exhibition, University of Economics and Law, Zhengzhou 450046, China; [email protected] 4 School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China; [email protected] 5 Changjiang Academy of Development and Strategy/Institute for Advanced Studies in Finance and Economics, Hubei University of Economics, Wuhan 430205, China; [email protected] * Correspondence: [email protected]; Tel.: +86-135-0717-8830 Received: 6 February 2020; Accepted: 12 March 2020; Published: 13 March 2020 Abstract: A quantitative analysis of rural development is required to comprehend the spatial differentiation of a rural area and promote rural sustainable development under the pressure of urbanization and industrialization, especially areas with dramatic changes in rural socioeconomic development of China and other developing countries. Taking Wuhan as the case study, this paper developed an index system including rural settlement, land, industry and human settlement environment for evaluating the level of rural development.