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Wen B, Yang Z, Ren S, Fu T, Li R, Lu M, Qin X, Li A, Kou Z, Shao Z, Liu K. Spatial-temporal patterns and influencing factors for hemorrhagic fever with renal syndrome: A 16-year national surveillance analysis in China. One Health 2024; 18:100725. [PMID: 38623497 PMCID: PMC11017347 DOI: 10.1016/j.onehlt.2024.100725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/01/2024] [Accepted: 04/04/2024] [Indexed: 04/17/2024] Open
Abstract
Background China is confronted with the significant menace posed by hemorrhagic fever with renal syndrome (HFRS). Nevertheless, the long-term spatial-temporal variations, regional prevalence patterns, and fundamental determinants' mechanisms for HFRS remain inadequately elucidated. Methods Newly diagnosed cases of HFRS from January 2004 to December 2019 were acquired from the China Public Health Science Data repository. We used Age-period-cohort and Bayesian Spacetime Hierarchy models to identify high-risk populations and regions in mainland China. Additionally, the Geographical Detector model was employed to quantify the determinant powers of significant driver factors to the disease. Results A total of 199,799 cases of HFRS were reported in mainland China during 2004-2019. The incidence of HFRS declined from 1.93 per 100,000 in 2004 to 0.69 per 100,000 in 2019. The incidence demonstrated an inverted U-shaped trend with advancing age, peaking in the 50-54 age group, with higher incidences observed among individuals aged 20-74 years. Hyperendemic areas were mainly concentrated in the northeastern regions of China, while some western provinces exhibited a potential upward trend. Geographical detector model identified that the spatial variations of HFRS were significantly associated with the relative humidity (Q = 0.36), forest cover (Q = 0.26), rainfall (Q = 0.18), temperature (Q = 0.16), and the surface water resources (Q = 0.14). Conclusions This study offered comprehensive examinations of epidemic patterns, identified high-risk areas quantitatively, and analyzed factors influencing HFRS transmission in China. The findings may contribute to the necessary implementations for the effective prevention and control of HFRS.
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Affiliation(s)
- Bo Wen
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
- Lintong Rehabilitation and Convalescent Centre, Xi'an, People's Republic of China
| | - Zurong Yang
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Shaolong Ren
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, People's Republic of China
| | - Ting Fu
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Rui Li
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Mengwei Lu
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Xiaoang Qin
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Ang Li
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Zhifu Kou
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Zhongjun Shao
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
| | - Kun Liu
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, People's Republic of China
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Hu H, Zhan J, Chen W, Yang Y, Jiang H, Zheng X, Li J, Hu F, Yu D, Li J, Yang X, Zhang Y, Wang X, Bi Z, Liang Y, Shen H, Du H, Lian J. Development and validation of a novel death risk stratification scale in patients with hemorrhagic fever with renal syndrome: a 14-year ambispective cohort study. Clin Microbiol Infect 2024; 30:387-394. [PMID: 37952580 DOI: 10.1016/j.cmi.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVES To develop and validate a simple and effective death risk stratification scale for hemorrhagic fever with renal syndrome (HFRS). METHODS In this ambispective cohort study, we investigated the epidemiological and clinical data of 2245 patients with HFRS (1873 enrolled retrospectively and constituting the training cohort, 372 prospectively recruited as the validation cohort) from September 2008 to December 2021, and identified independent risk factors for 30-day death of HFRS. Using logistic regression analysis, a nomogram prediction model was established and was further simplified into a novel scoring scale. Calibration plot, receiver operating characteristic curve, net reclassification index, integrated discrimination index, and decision curve analysis were used to assess the calibration, discrimination, precision, and clinical utility in both training and validation cohorts. RESULTS Of 2245 patients with HFRS, 132 (5.9%) died during hospitalization. The nomogram prediction model and scoring scale were developed using six predictors: comorbid hypertension, hypotensive shock, hypoxemia, neutrophils, aspartate aminotransferase, and activated partial thromboplastin time. Both the scale and nomogram were well calibrated (near-diagonal calibration curves) and demonstrated significant predictive values (areas under receiver operating characteristic curves >0.9, sensitivity and specificity >90% in the training cohort and >84% in the validation cohort). The simplified scoring scale demonstrated equivalent discriminative ability to the nomogram, with net reclassification index and integrated discrimination index of 0.022 and 0.007 in the training cohort, 0.126 and 0.022 in the validation cohort. Decision curve analysis graphically represented significant clinical utility and comparable net benefits of the nomogram and scoring scale across a range of threshold probabilities. DISCUSSION This evidence-based, factor-weighted, accurate score could help clinicians swiftly stratify HFRS mortality risk and facilitate the implementation of patient triage and tiered medical services during epidemic peaks.
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Affiliation(s)
- Haifeng Hu
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Jiayi Zhan
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Wenjing Chen
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China; Department of Infectious Diseases, Affiliated Hospital of Yan'an University, Yan'an, China
| | - Yali Yang
- Department of Inpatient Ultrasound, Second Affiliated Hospital of Xi'an Medical University, Xi'an, China
| | - Hong Jiang
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Xuyang Zheng
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Jiayu Li
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Fei Hu
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China; Department of Infectious Diseases, 985th Hospital of Chinese People's Liberation Army, Taiyuan, China
| | - Denghui Yu
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China; Department of Intensive Care Unit, General Hospital of Southern Theater Command, Guangzhou, China
| | - Jing Li
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Xiaofei Yang
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Ye Zhang
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Xiaoyan Wang
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Zhanhu Bi
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Yan Liang
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China; College of Life Sciences, Northwest University, Xi'an, China
| | - Huanjun Shen
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Hong Du
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Jianqi Lian
- Center for Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
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Wang Y, Zhang C, Gao J, Chen Z, Liu Z, Huang J, Chen Y, Li Z, Chang N, Tao Y, Tang H, Gao X, Xu Y, Wang C, Li D, Liu X, Pan J, Cai W, Gong P, Luo Y, Liang W, Liu Q, Stenseth NC, Yang R, Xu L. Spatiotemporal trends of hemorrhagic fever with renal syndrome (HFRS) in China under climate variation. Proc Natl Acad Sci U S A 2024; 121:e2312556121. [PMID: 38227655 PMCID: PMC10823223 DOI: 10.1073/pnas.2312556121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 12/05/2023] [Indexed: 01/18/2024] Open
Abstract
Hemorrhagic fever with renal syndrome (HFRS) is a zoonotic disease caused by the rodent-transmitted orthohantaviruses (HVs), with China possessing the most cases globally. The virus hosts in China are Apodemus agrarius and Rattus norvegicus, and the disease spread is strongly influenced by global climate dynamics. To assess and predict the spatiotemporal trends of HFRS from 2005 to 2098, we collected historical HFRS data in mainland China (2005-2020), historical and projected climate and population data (2005-2098), and spatial variables including biotic, environmental, topographical, and socioeconomic. Spatiotemporal predictions and mapping were conducted under 27 scenarios incorporating multiple integrated representative concentration pathway models and population scenarios. We identify the type of magistral HVs host species as the best spatial division, including four region categories. Seven extreme climate indices associated with temperature and precipitation have been pinpointed as key factors affecting the trends of HFRS. Our predictions indicate that annual HFRS cases will increase significantly in 62 of 356 cities in mainland China. Rattus regions are predicted to be the most active, surpassing Apodemus and Mixed regions. Eighty cities are identified as at severe risk level for HFRS, each with over 50 reported cases annually, including 22 new cities primarily located in East China and Rattus regions after 2020, while 6 others develop new risk. Our results suggest that the risk of HFRS will remain high through the end of this century, with Rattus norvegicus being the most active host, and that extreme climate indices are significant risk factors. Our findings can inform evidence-based policymaking regarding future risk of HFRS.
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Affiliation(s)
- Yuchen Wang
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Institute for Healthy China, Tsinghua University, Beijing100084, China
| | - Chutian Zhang
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Institute for Healthy China, Tsinghua University, Beijing100084, China
- College of Natural Resources and Environment, Northwest A&F University, Yangling712100, China
| | - Jing Gao
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Institute for Healthy China, Tsinghua University, Beijing100084, China
- Respiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institute, Stockholm171 77, Sweden
- Heart and Lung Centre, Department of Pulmonary Medicine, University of Helsinki and Helsinki University Hospital, Helsinki00290, Finland
| | - Ziqi Chen
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Institute for Healthy China, Tsinghua University, Beijing100084, China
| | - Zhao Liu
- School of Linkong Economics and Management, Beijing Institute of Economics and Management, Beijing100102, China
| | - Jianbin Huang
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing101408, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing100190, China
| | - Yidan Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Zhichao Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, China
| | - Nan Chang
- School of Public Health, Nanjing Medical University, Nanjing210000, China
| | - Yuxin Tao
- Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing100084, China
| | - Hui Tang
- Department of Geosciences, Natural History Museum, University of Oslo, Blindern, Oslo0316, Norway
- Natural History Museum, University of Oslo, Blindern, Oslo0316, Norway
- Department of Geosciences and Geography, University of Helsinki, Helsinki00014, Finland
| | - Xuejie Gao
- Climate Change Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing100029, China
- College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing100049, China
| | - Ying Xu
- National Climate Centre, China Meteorological Administration, Beijing100081, China
| | - Can Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Dong Li
- Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing100084, China
| | - Xiaobo Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing102206, China
| | - Jingxiang Pan
- Joan & Sanford I. Weill Medical College, Cornell University, Ithaca, New York10065
| | - Wenjia Cai
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modelling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Peng Gong
- Department of Earth Sciences and Geography, University of Hong Kong, Hong Kong Special Administrative Region999077, China
| | - Yong Luo
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modelling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Institute for Healthy China, Tsinghua University, Beijing100084, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing102206, China
| | - Nils Chr. Stenseth
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Centre for Pandemics and One-Health Research, Faculty of Medicine, University of Oslo, OsloN-0316, Norway
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, OsloN-0315, Norway
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing100071, China
| | - Lei Xu
- Vanke School of Public Health, Tsinghua University, Beijing100084, China
- Institute for Healthy China, Tsinghua University, Beijing100084, China
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Afzal S, Ali L, Batool A, Afzal M, Kanwal N, Hassan M, Safdar M, Ahmad A, Yang J. Hantavirus: an overview and advancements in therapeutic approaches for infection. Front Microbiol 2023; 14:1233433. [PMID: 37901807 PMCID: PMC10601933 DOI: 10.3389/fmicb.2023.1233433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Hantaviruses are a significant and emerging global public health threat, impacting more than 200,000 individuals worldwide each year. The single-stranded RNA viruses belong to the Hantaviridae family and are responsible for causing two acute febrile diseases in humans: Hantavirus pulmonary syndrome (HPS) and hemorrhagic fever with renal syndrome (HFRS). Currently, there are no licensed treatments or vaccines available globally for HTNV infection. Various candidate drugs have shown efficacy in increasing survival rates during the early stages of HTNV infection. Some of these drugs include lactoferrin, ribavirin, ETAR, favipiravir and vandetanib. Immunotherapy utilizing neutralizing antibodies (NAbs) generated from Hantavirus convalescent patients show efficacy against HTNV. Monoclonal antibodies such as MIB22 and JL16 have demonstrated effectiveness in protecting against HTNV infection. The development of vaccines and antivirals, used independently and/or in combination, is critical for elucidating hantaviral infections and the impact on public health. RNA interference (RNAi) arised as an emerging antiviral therapy, is a highly specific degrades RNA, with post-transcriptional mechanism using eukaryotic cells platform. That has demonstrated efficacy against a wide range of viruses, both in vitro and in vivo. Recent antiviral methods involve using small interfering RNA (siRNA) and other, immune-based therapies to target specific gene segments (S, M, or L) of the Hantavirus. This therapeutic approach enhances viral RNA clearance through the RNA interference process in Vero E6 cells or human lung microvascular endothelial cells. However, the use of siRNAs faces challenges due to their low biological stability and limited in vivo targeting ability. Despite their successful inhibition of Hantavirus replication in host cells, their antiviral efficacy may be hindered. In the current review, we focus on advances in therapeutic strategies, as antiviral medications, immune-based therapies and vaccine candidates aimed at enhancing the body's ability to control the progression of Hantavirus infections, with the potential to reduce the risk of severe disease.
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Affiliation(s)
- Samia Afzal
- CEMB, University of the Punjab, Lahore, Pakistan
| | - Liaqat Ali
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan
| | - Anum Batool
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan
| | - Momina Afzal
- CEMB, University of the Punjab, Lahore, Pakistan
| | - Nida Kanwal
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan
| | | | | | - Atif Ahmad
- CEMB, University of the Punjab, Lahore, Pakistan
| | - Jing Yang
- Wuhan Institute of Biological Products Co., Ltd., Wuhan, Hubei, China
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Du S, Xie Y, Deng X, Xia Z, Wu W, Huang X, Chen Z, Li A, Li C, Wang Q, Sun L, Guo M, Wang S, Liang M, Li D, Liu X, Li J. Co-circulation and co-infection of hantaviruses and Wenzhou mammarenavirus in small mammals and humans in Jiangxi, China. Front Microbiol 2023; 14:1225255. [PMID: 37502398 PMCID: PMC10371193 DOI: 10.3389/fmicb.2023.1225255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 06/23/2023] [Indexed: 07/29/2023] Open
Abstract
Both Orthohantaviruses (HV) and Whenzhou Mammarenaviruses (WENV) are rodents borne viruses, allowing them to spread simultaneously in the same area and infect humans. To explore the potential threat of HV and WENV to public health safety, an environmental and laboratory investigation was conducted in 2020-2021, in Jiangxi province, China. A total of 461 small mammals of 7 species and paired sera from 43 suspected HFRS cases were collected from Jiangxi Province, China. Viral genomic RNA and specific antibodies against HV and WENV were detected to evaluate the epidemic situation of the two viruses. Hantaan virus (HTNV), seoul virus (SEOV) and WENV RNA were detected in the lungs of the captured mammals, which resulted 4.1% and 7.4% of HV and WENV RNA positive respectively. Co-infections of WENV and SEOV were detected from Rattus norvegicus, Mus musculus and Rattus flavipectus with an overall co-infection rate of 0.65%. The detection rates of antibodies in the blood against HV and WENV were 11.9% (55/461), and 13.2% (61/461) respectively. The prevalence of viral infection and viral genetic characters varied among the selected areas. In the paired sera of 43 suspected HFRS cases, 38 were with HV infection, 11 were with WENV IgG, and 7 with a 4-fold or more of WENV IgG titer elevation. These results revealed the fact of the co-circulating and coinfection of HV and WENV in the same area at the same time, which might impact on public health safety.
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Affiliation(s)
- Shanshan Du
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Yun Xie
- Jiangxi Province CDC, Nanchang, Jiangxi, China
| | - Xuefei Deng
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | | | - Wei Wu
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Xiaoxia Huang
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Zhao Chen
- Yichun City CDC, Yichun, Jiangxi, China
| | - Aqian Li
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Chuan Li
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Qin Wang
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Lina Sun
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Meijun Guo
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Shiwen Wang
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Mifang Liang
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Dexin Li
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | | | - Jiandong Li
- NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
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Li S, Zhu L, Zhang L, Zhang G, Ren H, Lu L. Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3328. [PMID: 36834023 PMCID: PMC9960491 DOI: 10.3390/ijerph20043328] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease that has threatened Chinese residents for nearly a century. Although comprehensive prevent and control measures were taken, the HFRS epidemic in China presents a rebounding trend in some areas. Urbanization is considered as an important influencing factor for the HFRS epidemic in recent years; however, the relevant research has not been systematically summarized. This review aims to summarize urbanization-related environmental factors and the HFRS epidemic in China and provide an overview of research perspectives. The literature review was conducted following the PRISMA protocol. Journal articles on the HFRS epidemic in both English and Chinese published before 30 June 2022 were identified from PubMed, Web of Science, and Chinese National Knowledge Infrastructure (CNKI). Inclusion criteria were defined as studies providing information on urbanization-related environmental factors and the HFRS epidemic. A total of 38 studies were included in the review. Changes brought by urbanization on population, economic development, land use, and vaccination program were found to be significantly correlated with the HFRS epidemic. By changing the ecological niche of humans-affecting the rodent population, its virus-carrying rate, and the contact opportunity and susceptibility of populations-urbanization poses a biphasic effect on the HFRS epidemic. Future studies require systematic research framework, comprehensive data sources, and effective methods and models.
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Affiliation(s)
- Shujuan Li
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Lingli Zhu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Lidan Zhang
- Department of Public Health, Faculty of Medicine, Imperial College London, London W2 1PG, UK
| | - Guoyan Zhang
- Beijing Dong Cheng Center for Disease Control and Prevention, Beijing 100010, China
| | - Hongyan Ren
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Liang Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Zeng Y, Feng Y, Zhao Y, Zhang X, Yang L, Wang J, Gao Z, Zhang C. An HFman Probe-Based Multiplex Reverse Transcription Loop-Mediated Isothermal Amplification Assay for Simultaneous Detection of Hantaan and Seoul Viruses. Diagnostics (Basel) 2022; 12:diagnostics12081925. [PMID: 36010275 PMCID: PMC9406646 DOI: 10.3390/diagnostics12081925] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/02/2022] [Accepted: 08/08/2022] [Indexed: 11/22/2022] Open
Abstract
Hantaviruses are zoonotic pathogens that are widely distributed worldwide. Hantaan virus (HTNV) and Seoul virus (SEOV) are two most common hantaviruses that infect humans and cause hemorrhagic fever with renal syndrome (HFRS). Rapid and sensitive detection of HTNV and SEOV are crucial for surveillance, clinical treatment and management of HFRS. This study aimed to develop a rapid HFman probe-based mulstiplex reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay to simultaneously detect HTNV and SEOV. A novel multiplex RT-LAMP assay was developed, and 46 serum samples obtained from clinically suspected patients were used for evaluation. The novel RT-LAMP assay can detect as low as 3 copies/reaction of hantaviruses with a detection limit of 41 and 73 copies per reaction for HTNV and SEOV, respectively. A clinical evaluation showed that the consistencies of the multiplex RT-LAMP with RT-qPCR assay were 100% and 97.8% for HTNV and SEOV, respectively. In view of the high prevalence of HTNV and SEOV in rural areas with high rodent density, a colorimetric visual determination method was also developed for point-of-care testing (POCT) for the diagnosis of the two viruses. The novel multiplex RT-LAMP assay is a sensitive, specific, and efficient method for simultaneously detecting HTNV and SEOV.
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Affiliation(s)
- Yi Zeng
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yun Feng
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali 671000, China
| | - Yongjuan Zhao
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Xiaoling Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Lifen Yang
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali 671000, China
| | - Juan Wang
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali 671000, China
| | - Zihou Gao
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali 671000, China
- Correspondence: (Z.G.); or (C.Z.)
| | - Chiyu Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
- Correspondence: (Z.G.); or (C.Z.)
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