Unique Family Clustering of Human Echinococcosis Cases in a Chinese Community
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Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: a Case of the Ningxia Hui Autonomous Region, China
sustainability Article Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: A Case of the Ningxia Hui Autonomous Region, China Rong Li 1, Rui Han 1, Qianru Yu 1, Shuang Qi 2 and Luo Guo 1,* 1 College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China; [email protected] (R.L.); [email protected] (R.H.); [email protected] (Q.Y.) 2 Department of Geography, National University of Singapore; Singapore 117570, Singapore; [email protected] * Correspondence: [email protected] Received: 25 April 2020; Accepted: 26 May 2020; Published: 28 May 2020 Abstract: Ecological vulnerability, as an important evaluation method reflecting regional ecological status and the degree of stability, is the key content in global change and sustainable development. Most studies mainly focus on changes of ecological vulnerability concerning the temporal trend, but rarely take arid and semi-arid areas into consideration to explore the spatial heterogeneity of the ecological vulnerability index (EVI) there. In this study, we selected the Ningxia Hui Autonomous Region on the Loess Plateau of China, a typical arid and semi-arid area, as a case to investigate the spatial heterogeneity of the EVI every five years, from 1990 to 2015. Based on remote sensing data, meteorological data, and economic statistical data, this study first evaluated the temporal-spatial change of ecological vulnerability in the study area by Geo-information Tupu. Further, we explored the spatial heterogeneity of the ecological vulnerability using Getis-Ord Gi*. Results show that: (1) the regions with high ecological vulnerability are mainly concentrated in the north of the study area, which has high levels of economic growth, while the regions with low ecological vulnerability are mainly distributed in the relatively poor regions in the south of the study area. -
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第 26 卷 第 9 期 农 业 工 程 学 报 Vol.26 No.9 72 2010 年 9 月 Transactions of the CSAE Sep. 2010 Models of soil and water conservation and ecological restoration in the loess hilly region of China Dang Xiaohu1,2,Liu Guobin2※,Xue Sha2,3 (1. School of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China; 2. Institute of Soil and Water Conservation, CAS and MWR, Yangling 712100, China; 3. Institute of Water Resources and Hydro-electric, Xi’an University of Technology, Xi’an 710048, China) Abstract: Ecological degradation characterized by severe soil erosion and water loss is the most imposing ecological-economic issue in the Loess Hilly Region; the soil and water conservation (SWC) and ecological restoration are crucial solutions to this issue. It is of importance to explore SWC models for ecological reconstruction compatible with local socioeconomic and environmental conditions. The paper reviewed on SWC and ecological rehabilitation researches and practices and mainly concerned on eight small-scale (small catchments) models and Yan’an Meso-scale model in the Loess Hilly Region. To evaluate the environmental and socioeconomic impacts of these models, their validities were examined using the participatory rural appraisal. The results indicated that SWC and ecological restoration at different scales have played important roles both in local economic development and environmental improvement and provided an insight into sustainable economic development on the Loess plateau in the future. Furthermore, this paper strengthens our belief that, under improved socioeconomic conditions, SWC and ecological reconstruction can be made sustainable, leading to a reversal of the present ecological degradation. -
Resettlement Plan
Resettlement Plan April 2020 PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project (Xiji) Prepared by the Ningxia Department of Transport of the Ningxia Hui Autonomous Region Government for the People’s Republic of China and the Asian Development Bank. This is an updated version of the draft originally posted in July 2016 available on https://www.adb.org/projects/documents/prc-ningxia-liupanshan-rural-roads-xiji-rp. This Resettlement Plan is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Updated Resettlement Plan April 2020 Jiangtai–Xitan–Pingfeng Road Project of Xiji County of Guyuan City in Ningxia Hui Autonomous Region, PRC Prepared by Transportation Department of Ningxia Hui Nationality Autonomous Region CURRENCY EXCHANGE (According to the exchange rate on May 1, 2016) Monetary Unit: CNY CNY1.00 = US$0.1433 US$1.00 = CNY6.9787 ABBREVIATIONS AAOV – Average Annual Output Value ADB – Asian Development Bank APs – Affected Persons AV – Administrative Village CRO – County Resettlement Office DMS – Detailed Measurement Survey DI – Design Institute EA – Executing Agency FS – Feasibility Study IA – Implementation -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
Estimating the Prevalence of Echinococcus in Domestic Dogs in Highly Endemic for Echinococcosis Cong-Nuan Liu1†, Yang-Yang Xu2,3†, Angela M
Liu et al. Infectious Diseases of Poverty (2018) 7:77 https://doi.org/10.1186/s40249-018-0458-8 CASE STUDY Open Access Estimating the prevalence of Echinococcus in domestic dogs in highly endemic for echinococcosis Cong-Nuan Liu1†, Yang-Yang Xu2,3†, Angela M. Cadavid-Restrepo4,5, Zhong-Zi Lou1, Hong-Bin Yan1,LiLi1, Bao-Quan Fu1, Darren J. Gray4,5,6, Archie A. Clements5, Tamsin S. Barnes7, Gail M. Williams6, Wan-Zhong Jia1*, Donald P. McManus4* and Yu-Rong Yang2,4* Abstract Background: Cystic echinococcosis (CE) and alveolar echinococcosis (AE) are highly endemic in Xiji County of Ningxia Hui Autonomous Region (NHAR) in China where the control campaign based on dog de-worming with praziquantel has been undertaken over preceding decades. This study is to determine the current prevalence of Echinococcus granulosus and E. multilocularis in domestic dogs and monitor the echinococcosis transmission dynamics. Methods: Study villages were selected using landscape patterns (Geographic Information System, GIS) for Echinococcus transmission “hot spots”, combined with hospital records identifying risk areas for AE and CE. A survey of 750 domestic dogs, including copro-sampling and owner questionnaires, from 25 selected villages, was undertaken in 2012. A copro-multiplex PCR assay was used for the specific diagnosis of E. granulosus and E. multilocularis in the dogs. Data analysis, using IBM SPSS Statistics, was undertaken, to compare the prevalence of the two Echinococcus spp. in dogs between four geographical areas of Xiji by the χ2 test. Univariate analysis of the combinations of outcomes from the questionnaire and copro-PCR assay data was carried out to determine the significant risk factors for dog infection. -
Spatial Distribution of Endemic Fluorosis Caused by Drinking Water in a High-Fluorine Area in Ningxia, China
Environmental Science and Pollution Research https://doi.org/10.1007/s11356-020-08451-7 RESEARCH ARTICLE Spatial distribution of endemic fluorosis caused by drinking water in a high-fluorine area in Ningxia, China Mingji Li1 & Xiangning Qu2 & Hong Miao1 & Shengjin Wen1 & Zhaoyang Hua1 & Zhenghu Ma2 & Zhirun He2 Received: 29 November 2019 /Accepted: 16 March 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Endemic fluorosis is widespread in China, especially in the arid and semi-arid areas of northwest China, where endemic fluorosis caused by consumption of drinking water high in fluorine content is very common. We analyzed data on endemic fluorosis collected in Ningxia, a typical high-fluorine area in the north of China. Fluorosis cases were identified in 539 villages in 1981, in 4449 villages in 2010, and in 3269 villages in 2017. These were located in 19 administrative counties. In 2017, a total of 1.07 million individuals suffered from fluorosis in Ningxia, with more children suffering from dental fluorosis and skeletal fluorosis. Among Qingshuihe River basin disease areas, the high incidence of endemic fluorosis is in Yuanzhou District and Xiji County of Guyuan City. The paper holds that the genesis of the high incidence of endemic fluorosis in Qingshui River basin is mainly caused by chemical weathering, evaporation and concentration, and dissolution of fluorine-containing rocks around the basin, which is also closely related to the semi-arid geographical region background, basin structure, groundwater chemical character- istics, and climatic conditions of the basin. The process of mutual recharge and transformation between Qingshui River and shallow groundwater in the basin is intense. -
Impact of Increased Economic Burden Due to Human Echinococcosis in an Underdeveloped Rural Community of the People’S Republic of China
Impact of Increased Economic Burden Due to Human Echinococcosis in an Underdeveloped Rural Community of the People’s Republic of China Yu Rong Yang1,2,3*, Gail M. Williams3, Philip S. Craig4, Donald P. McManus2 1 Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, People’s Republic of China, 2 Molecular Parasitology Laboratory, Queensland Institute of Medical Research, Brisbane, Australia, 3 School of Population Health, University of Queensland, Brisbane, Australia, 4 Biomedical Sciences Research Institute, School of Environment and Life Sciences, University of Salford, Salford, United Kingdom Abstract Background: Ningxia is located in western People’s Republic of China, which is hyperendemic for human cystic echinococcosis (CE) throughout the entire area with alveolar echinococcosis (AE) hyperendemic in the south. This is in part due to its underdeveloped economy. Despite the recent rapid growth in P.R. China’s economy, medical expenditure for hospitalization of echinococcosis cases has become one of the major poverty generators in rural Ningxia, resulting in a significant social problem. Methodology/Principal Findings: We reviewed the 2000 inpatient records with liver CE in surgical departments of hospitals from north, central and south Ningxia for the period 1996–2002. We carried out an analysis of health care expenditure of inpatient treatment in public hospitals, and examined the financial inequalities relating to human echinococcosis and the variation in per capita income between various socioeconomic groups with different levels of gross domestic product for different years. Hospital charges for Yinchuan, NHAR’s capital city in the north, increased approximately 35-fold more than the annual income of rural farmers with the result that they preferred to seek health care in local county hospitals, despite higher quality and more efficient treatment and diagnosis available in the city. -
World Bank Document
f Public Disclosure Authorized Appendix Ill ENVIRONMENTAL IMPACT STATEMENT FOR THE CHINA QINBA MOUNTAINS POVERTY REDUCTION PROJECT NINGXIA HUI AUTONOMOUSREGION Public Disclosure Authorized Public Disclosure Authorized Ningxia Research Institute of Environmental Protection September 1996,Yinchuan Public Disclosure Authorized * Table of Contets 1. Preface 1.1 The Project Background . I -..-.... --. *----.(1) 1. 2 The Requirement for theAssessment .-- (2) 1. 3 The Category ofAssessment .. .. .. .. .. .. .. .. (2) * 1. 4 Basis for the Report .-.-.-...---.. (2) 1. 6 Applicable National Standards ...........................*-- -)(......4...... 1. 6 Basic Objcetive of Environmental Control and Protection .................................................................... (4) 1. 7 Principles and Methcds of Assessment -.---. -... (4) 1. 8 Process of the Assessment Work ................................................................................................ (5) * 1. 9 Brief Introduction of the Units and Personnels Participating in the Environmental Protection Impact Assessment (5) 2. Project Summnary . -..........I i.-.---.---... (8) 2. 1 The project Characteristics .. (8) 2. 2 The Objective of the Project ... (8) * 2. 3 The Deterrmination of the Project Areas. -................................ ....................................... (8) 2. 4 The Project ConstructionContents I'....................................... ''''''''''''''''''''''''''''''..'''''''.'t'''''''.(10) 2. 5 The project Technical Design .- (12) 2. 6 Progress of the Project -
Ningxia Liupanshan Poverty Reduction Rural Road Development Project
S ocial Monitoring Report Project Number: 48023-003 May 2018 Resettlement Monitoring Report for 21 Finished Feeder Roads PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project Submitted by Ningxia Project Management Office and Hangzhou Darren Engineer Project Management Co. Ltd. This social monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Loan 3444-PRC: ADB Funded Ningxia Liupanshan Poverty Reduction Rural Road Development Project Resettlement Monitoring Report For 21 Rural Feeder Roads Hangzhou Darren Engineering Project Management Co., Ltd. May 2018 Table of Contents 1. Brief introductions of the project and original resettlement plan ............................... 1 1.1 Project Backgrounds.................................................................................................... 1 1.2 Introduction of the original RP .................................................................................... 1 1.3 Resettlement Due Diligence Review ......................................................................... 3 2. Progress of land occupation and progress of project -
Differential Analysis of the Efficiency of Fixed Assets Investment in The
Advances in Social Science, Education and Humanities Research, volume 375 2nd International Symposium on Social Science and Management Innovation (SSMI 2019) Differential Analysis of the Efficiency of Fixed Assets Investment in the Primary Industry in Ningxia Province Zilie Muheyat International Business School, Shaanxi Normal University, Xi’an 710119, China. [email protected] Abstract. This paper selects data from 18 counties in Ningxia province from 2003 to 2017, and uses the incremental capital-output ratio to measure the efficiency of fixed asset investment in the primary industry. Then we analyze the differences between poor and non-poor counties from the time and cross-section. The results show that from 2003 to 2017, the efficiency of fixed asset investment in the primary industry in Ningxia was significantly different between poor and non-poor counties, and poor counties was lower than non-poor counties. Therefore, there is great potential for improving the efficiency of fixed asset investment in the primary industries of poor counties. Keywords: Fixed Asset Investment in the Primary Industry; Investment Efficiency; ICOR. 1. Introduction Increasing the income of the primary industry and improving the efficiency of the primary industry are important measures to increase the comprehensive production capacity of the primary industry and maintain the coordinated and stable development of the primary industry. And it is the main driving force for the economic growth of the primary industry. The input of the primary industry includes capital, labor, technology, and management level. The investment of the primary industry includes fixed asset investment, and fixed asset investment is important material basis to change the production conditions of the primary industry, improve the comprehensive production capacity, and achieve stable development of the primary industry. -
Poverty Reduction & Adaptation Practice
Poverty Reduction & Adaptation Practice Experiences from Ningxia, China Ma Zhongyu Renmin University of China Ningxia Development & Reform Commission 30th November, 2011 Contents . General situation of Ningxia . Fact recognized from climate change in Ningxia . Impacts of climate change on Ningxia . Practices of adaptation in Ningxia . The realities and politics of adaptive decision-making The Situation of Landscape & Social – Economic Development in Ningxia . The Northern Oasis: area 29%; population 65%; GDP 88%; fiscal income 94%; access to water resources 72% . The Middle Dryland: area 50%; population 16%;GDP 5%; fiscal income 4%; access to water resources 11%. The Southern Rainfed-land: area 21%; population 19%;GDP 7%; fiscal income 3%; access to water resources 17%. Ecosystem-based Vulnerability Assessment in Ningxia . The most vulnerable areas:Haiyuan 、Yuanzouqu、 Pengyang and Xiji county. General vulnerable areas: Lingwu、Yanchi、 Hongsiboqu、 Tongxin and Longde county. Vulnerable areas: Dawukou 、Pingluo、 Yinchuan sity、Qingtongxia 、 Shapotou、 Zhongning and Jingyuan county. Non-vulnerable areas: Helan、Yongning and Litongqu county. Human Carrying Capacity and Poverty Situation in Ningxia . Human carrying capacity in middle and southern part is only 1.30 million of people, but its population is 2.30 million in 2010. The current poor people under the line of absolute poverty is 1.10million in 2010. Fact Recognized from Climate Change in Ningxia . The annual temperature has increased by 2.2 oC over the last 50 years. In the last 50 years the annual precipitation has gone down by 9.87mm every 10 years . The precipitation isoline of 400mm, which is a division line between plantation and grazing, has moved 50 km south over the last 50 years Impacts of Climate Change on Ningxia . -
Ningxia Liupanshan Poverty Reduction Rural Road Development Project (Haiyuan)
Resettlement Plan April 2019 PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project (Haiyuan) Prepared by the Ningxia Department of Transport for the People’s Republic of China and the Asian Development Bank. This Resettlement Plan is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Updated Resettlement Plan April 2019 Ningxia Liupanshan Poverty Reduction Rural Road Development Project Zhengqi–Jiucai–Sikouzi Road Subproject of Haiyuan County of Zhongwei City in Ningxia Hui Autonomous Region Prepared by the Transportation Department of Ningxia Hui Nationality Autonomous Region for the Asian Development Bank CURRENCY EQUIVALENTS Currency unit – () 1.00 = $0.16243 $1.00 = 6.1565 ABBREVIATIONS AAOV – Average Annual Output Value ADB – Asian Development Bank AHs – Affected Households APs – Affected Persons AV – Administrative Village CRO – County Resettlement Office DI – Design Institute DMS – Detailed Measurement Survey DRO – District Resettlement Office FS – Feasibility Study HD – House Demolition LA – Land Acquisition LAB – Land and Resources Bureau LAR – Land Acquisition and Resettlement LEF – Land-Expropriated