1
|
Leng XY, Zhao LZ, Liao L, Jin KH, Feng JM, Zhang FC. Genotype of dengue virus serotype 1 in relation to severe dengue in Guangzhou, China. J Med Virol 2024; 96:e29635. [PMID: 38682660 DOI: 10.1002/jmv.29635] [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: 01/14/2024] [Revised: 04/09/2024] [Accepted: 04/17/2024] [Indexed: 05/01/2024]
Abstract
Guangzhou has been the city most affected by the dengue virus (DENV) in China, with a predominance of DENV serotype 1 (DENV-1). Viral factors such as dengue serotype and genotype are associated with severe dengue (SD). However, none of the studies have investigated the relationship between DENV-1 genotypes and SD. To understand the association between DENV-1 genotypes and SD, the clinical manifestations of patients infected with different genotypes were investigated. A total of 122 patients with confirmed DENV-1 genotype infection were recruited for this study. The clinical manifestations, laboratory tests, and levels of inflammatory mediator factors were statistically analyzed to investigate the characteristics of clinical manifestations and immune response on the DENV-1 genotype. In the case of DENV-1 infection, the incidence of SD with genotype V infection was significantly higher than that with genotype I infection. Meanwhile, patients infected with genotype V were more common in ostealgia and bleeding significantly. In addition, levels of inflammatory mediator factors including IFN-γ, TNF-α, IL-10, and soluble vascular cell adhesion molecule 1 were higher in patients with SD infected with genotype V. Meanwhile, the concentrations of regulated upon activation normal T-cell expressed and secreted and growth-related gene alpha were lower in patients with SD infected with genotype V. The higher incidence of SD in patients infected with DENV-1 genotype V may be attributed to elevated cytokines and adhesion molecules, along with decreased chemokines.
Collapse
Affiliation(s)
- Xing-Yu Leng
- Department of Infectious Disease, Guangzhou Medical Research Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ling-Zhai Zhao
- Department of Clinical Laboratory, Guangzhou Eighth People's Hospital, Guangzhou Medical Research Institute of Infectious Diseases, Guangzhou Medical University, Guangzhou, China
| | - Lu Liao
- Department of Infectious Disease, Guangzhou Medical Research Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Kang-Hong Jin
- Department of Infectious Disease, Guangzhou Medical Research Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jia-Min Feng
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Fu-Chun Zhang
- Department of Infectious Disease, Guangzhou Medical Research Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
2
|
Leng X, Yang H, Zhao L, Feng J, Jin K, Liao L, Zhang F. Dengue encephalopathy in an adult due to dengue virus type 1 infection. BMC Infect Dis 2024; 24:319. [PMID: 38491361 PMCID: PMC10943806 DOI: 10.1186/s12879-024-09198-z] [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: 01/08/2024] [Accepted: 03/06/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Dengue is an important public health problem, which caused by the dengue virus (DENV), a single-stranded RNA virus consisted of four serotypes. Central nervus system (CNS) impairment in dengue usually results from DENV-2 or DENV-3 infection, which lead to life-threatening outcomes. Furthermore, neurological complications due to DENV-1 was rare especially in adult patients. CASE PRESENTATION A 44-year-old man without comorbidities had lethargy after hyperpyrexia and a positive DENV NS1 antigen was detected for confirming the diagnosis of dengue on day 8 of onset. Then logagnosia, decreased muscle strength, delirium and irritability were occurred even radiographic examination were normal. He was treated with low-dose hormone, sedatives and gamma goblin with a short duration of 6 days. The cerebrospinal fluid (CSF) tests were persistent normal. However, presence of DENV-1 RNA was confirmed both in CSF and serum. Furthermore, the complete sequence of the DENV isolated from the patient's serum was performed (GenBank No.: MW261838). The cytokines as IL-6, IL-10 and sVCAM-1 were increased in critical phase of disease. Finally, the patient was discharged on day 24 of onset without any neurological sequelae. CONCLUSION Encephalopathy caused by a direct CNS invasion due to DENV-1 during viremia was described in an adult patient. Treatment with low-dose hormone and gamma goblin was helpful for admission.
Collapse
Affiliation(s)
- Xingyu Leng
- Guangzhou Medical Research Institute of Infectious Diseases, Department of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China
| | - Huiqin Yang
- Guangzhou Medical Research Institute of Infectious Diseases, Department of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China
| | - Lingzhai Zhao
- Guangzhou Medical Research Institute of Infectious Diseases, Department of Clinical Laboratory, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P. R. China
| | - Jiamin Feng
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China
| | - Kanghong Jin
- Guangzhou Medical Research Institute of Infectious Diseases, Department of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China
| | - Lu Liao
- Guangzhou Medical Research Institute of Infectious Diseases, Department of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China
| | - Fuchun Zhang
- Guangzhou Medical Research Institute of Infectious Diseases, Department of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China.
- Guangzhou Medical Research Institute of Infectious Diseases, Institution of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 510000, Guangzhou, P.R. China.
| |
Collapse
|
3
|
Ye G, Xu Z, Yang M, Wang J, Liang J, Yin J, Yang Y, Xia H, Liu Y. Clinical features and transmission risk analysis of dengue virus infections in Shenzhen, During 2014-2019. Comput Struct Biotechnol J 2023; 21:3728-3735. [PMID: 37560123 PMCID: PMC10407296 DOI: 10.1016/j.csbj.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 06/30/2023] [Accepted: 07/01/2023] [Indexed: 08/11/2023] Open
Abstract
UNLABELLED Dengue fever (DF) and dengue hemorrhagic fever (DHF) are among the most common tropical diseases affecting humans. To analyze the risk of clinical and transmission of DF/DHF in Shenzhen, the surveillance on patients of all-age patients with dengue virus (DENV) infections was conducted. Our findings revealed that the majority of DENV-infected patients are young to middle-aged males, and the development of the disease is accompanied by abnormal changes in the percentages of neutrophils, lymphocytes, and basophils. Demographic analysis revealed that these patients is concentrated in areas such as Futian District, which may be due to the higher mosquito density and temperature than that in other area. Subsequent, mosquito infection experiments confirmed that the effect of temperature shift on DENV proliferation and transmission. Not only that, constant temperatures can enhance the spread of DENV, even increase the risk of epidemic. Thus, the role of innate immune response should be highlighted in the prediction of severe severity of DENV-infected patients, and temperature should be taken into account in the prevention and control of DENV. INTRODUCTION Dengue fever (DF) and dengue hemorrhagic fever (DHF) are among the most common tropical diseases affecting humans, and which caused by the four dengue virus serotypes (DENV 1-4). OBJECTIVES To analyze the risk of clinical and transmission of DF/DHF in Shenzhen. METHODS The surveillance on patients of all-age patients with dengue virus (DENV) infections was conducted. RESULTS Our findings revealed that the majority of DENV-infected patients are young to middle-aged males, and the development of the disease is accompanied by abnormal changes in the percentages of neutrophils, lymphocytes, and basophils. Demographic analysis revealed that these patients is concentrated in areas such as Futian District, which may be due to the higher mosquito density and temperature than that in other area. Subsequent, mosquito infection experiments confirmed that the effect of temperature shift on DENV proliferation and transmission. Not only that, constant temperatures can enhance the spread of DENV, even increase the risk of epidemic. CONCLUSION 1. Elevated levels of neutrophils, lymphocytes, basophils, and temperature are all significant risk factors for dengue transmission and pathogenesis; 2. Temperature increasing is associated with a higher risk of dengue transmission; 3. Fluctuations in temperature around 28 °C (28 ± 5 °C) would increase dengue transmission.
Collapse
Affiliation(s)
- Guoguo Ye
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, Division of Infectious Disease,The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Zhixiang Xu
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Minghui Yang
- Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing 100081, China
- Key Laboratory of Molecular Medicine and Biotherapy, Beijing 100081, China
- Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China
| | - Jun Wang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, Division of Infectious Disease,The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Jinhu Liang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, Division of Infectious Disease,The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Juzhen Yin
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, Division of Infectious Disease,The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, Division of Infectious Disease,The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Han Xia
- Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, Division of Infectious Disease,The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| |
Collapse
|
4
|
Liu WH, Shi C, Lu Y, Luo L, Ou CQ. Epidemiological characteristics of imported acute infectious diseases in Guangzhou, China, 2005-2019. PLoS Negl Trop Dis 2022; 16:e0010940. [PMID: 36472963 PMCID: PMC9725138 DOI: 10.1371/journal.pntd.0010940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/09/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The global spread of infectious diseases is currently a prominent threat to public health, with the accelerating pace of globalization and frequent international personnel intercourse. The present study examined the epidemiological characteristics of overseas imported cases of acute infectious diseases in Guangzhou, China. METHODS We retrospectively investigated the distribution of diseases, demographic characteristics, and temporal and spatial variations of imported cases of acute infectious diseases in Guangzhou based on the surveillance data of notifiable infectious diseases from 2005 to 2019, provided by Guangzhou center for Disease Control and Prevention. The Cochran-Armitage trend test was applied to examine the trend in the number of imported cases over time. RESULTS A total of 1,025 overseas imported cases of acute infectious diseases were identified during the study period. The top three diseases were dengue (67.12%), malaria (12.39%), and influenza A (H1N1) pdm09 (4.10%). Imported cases were predominantly males, with a sex ratio of 2.6: 1 and 75.22% of the cases were those aged 20-49 years. Businessmen, workers, students and unemployed persons accounted for a large proportion of the cases (68.49%) and many of the cases came from Southeast Asia (59.02%). The number of imported cases of acute infectious diseases increased during the study period and hit 318 in 2019. A clear seasonal pattern was observed in the number of imported cases with a peak period between June and November. Imported cases were reported in all of the 11 districts in Guangzhou and the central districts were more seriously affected compared with other districts. CONCLUSIONS The burden of dengue imported from overseas was substantial and increasing in Guangzhou, China, with the peak period from June to November. Dengue was the most common imported disease. Most imported cases were males aged 20-49 years and businessmen. Further efforts, such as strengthening surveillance of imported cases, paying close attention to the epidemics in hotspots, and improving the ability to detect the imported cases from overseas, are warranted to control infectious diseases especially in the center of the city with a higher population density highly affected by imported cases.
Collapse
Affiliation(s)
- Wen-Hui Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Chen Shi
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ying Lu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Lei Luo
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- * E-mail: (LL); (CO)
| | - Chun-Quan Ou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
- * E-mail: (LL); (CO)
| |
Collapse
|
5
|
Ren J, Chen Z, Ling F, Huang Y, Gong Z, Liu Y, Mao Z, Lin C, Yan H, Shi X, Zhang R, Guo S, Chen E, Wang Z, Sun J. Epidemiology of Indigenous Dengue Cases in Zhejiang Province, Southeast China. Front Public Health 2022; 10:857911. [PMID: 35493348 PMCID: PMC9046573 DOI: 10.3389/fpubh.2022.857911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Autochthonous transmission of the dengue virus (DENV) occurred each year from 2014 to 2018 in Zhejiang province, and became an emerging public health problem. We characterized the autochthonous transmission of the DENV and traced the source of infection for further control and prevention of dengue. Methods Descriptive and spatiotemporal cluster analyses were conducted to characterize the epidemiology of autochthonous transmission of the DENV. Molecular epidemiology was used to identify the infection source. Results In total, 1,654 indigenous cases and 12 outbreaks, with no deaths, were reported during 2004-2018. Before 2017, all outbreaks occurred in suburban areas. During 2017-2018, five out of eight outbreaks occurred in urban areas. The median duration of outbreaks (28 days) in 2017-2018 was shortened significantly (P = 0.028) in comparison with that in 2004-2016 (71 days). The median onset-visiting time, visiting-confirmation time, and onset-confirmation time was 1, 3, and 4 days, respectively. The DENV serotypes responsible for autochthonous transmission in Zhejiang Province were DENV 1, DENV 2, and DENV 3, with DENV 1 being the most frequently reported. Southeast Asia was the predominant source of indigenous infection. Conclusions Zhejiang Province witnessed an increase in the frequency, incidence, and geographic expansion of indigenous Dengue cases in recent years. The more developed coastal and central region of Zhejiang Province was impacted the most.
Collapse
Affiliation(s)
- Jiangping Ren
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
| | - Zhiping Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Feng Ling
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
| | - Yangmei Huang
- Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, China
| | - Zhenyu Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Ying Liu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhiyuan Mao
- Department of Tropical Medicine, Tulane School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Chunping Lin
- The Center for Disease Control and Prevention of Huangyan District, Taizhou, China
| | - Hao Yan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuguang Shi
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Rong Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Song Guo
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
| | - Zhen Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jimin Sun
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
| |
Collapse
|
6
|
Sheng ZY, Li M, Yang R, Liu YH, Yin XX, Mao JR, Brown HE, Zhou HN, Wang PG, An J. COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak. Emerg Microbes Infect 2021; 11:240-249. [PMID: 34935597 PMCID: PMC8745368 DOI: 10.1080/22221751.2021.2022438] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The COVID-19 pandemic and measures against it provided a unique opportunity to understand the transmission of other infectious diseases and to evaluate the efficacy of COVID-19 prevention measures on them. Here we show a dengue epidemic in Yunnan, China, during the pandemic of COVID-19 was dramatically reduced compared to non-pandemic years and, importantly, spread was confined to only one city, Ruili. Three key features characterized this dengue outbreak: (i) the urban-to-suburban spread was efficiently blocked; (ii) the scale of epidemic in urban region was less affected; (iii) co-circulation of multiple strains was attenuated. These results suggested that countermeasures taken during COVID-19 pandemic are efficient to prevent dengue transmission between cities and from urban to suburban, as well to reduce the co-circulation of multiple serotypes or genotypes. Nevertheless, as revealed by the spatial analysis, once the dengue outbreak was established, its distribution was very stable and resistant to measures against COVID-19, implying the possibility to develop a precise prediction method.
Collapse
Affiliation(s)
- Z Y Sheng
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, PR China
| | - M Li
- Yunnan Provincial Key Laboratory of Vector-borne Disease Control and Research, Yunnan Institute of Parasitic Diseases, Simao Pu'er, Yunnan, PR China
| | - R Yang
- Yunnan Provincial Key Laboratory of Vector-borne Disease Control and Research, Yunnan Institute of Parasitic Diseases, Simao Pu'er, Yunnan, PR China
| | - Y H Liu
- Ruili Center of Disease Prevention and Control, Ruili, Yunnan, PR China
| | - X X Yin
- Ruili Center of Disease Prevention and Control, Ruili, Yunnan, PR China
| | - J R Mao
- Ruili People's Hospital, Ruili, Yunnan, PR China
| | - Heidi E Brown
- Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona
| | - H N Zhou
- Yunnan Provincial Key Laboratory of Vector-borne Disease Control and Research, Yunnan Institute of Parasitic Diseases, Simao Pu'er, Yunnan, PR China
| | - P G Wang
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, PR China
| | - J An
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, PR China.,Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing, China
| |
Collapse
|
7
|
Wu T, Wu Z, Li YP. Dengue fever and dengue virus in the People's Republic of China. Rev Med Virol 2021; 32:e2245. [PMID: 34235802 DOI: 10.1002/rmv.2245] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 04/12/2021] [Accepted: 04/26/2021] [Indexed: 01/05/2023]
Abstract
Infection with dengue virus (DENV) leads to symptoms variable from dengue fever to severe dengue, which has posed a huge socioeconomic and disease burden to the world population, particularly in tropical and subtropical regions. To date, four serotypes of DENV (DENV-1 to DENV-4) have been identified to sustain the transmission cycle in humans. In the past decades, dengue incidences have become more frequent, and four serotypes and various genotypes have been identified in PR China. Several large-scale dengue outbreaks and frequent local endemics occurred in the southern and coastal provinces, and the imported dengue cases accounted primarily for the initiation of the epidemics. No antiviral drug exists for dengue, and no vaccine has been approved to use in PR China, however strategies including public awareness, national reporting system of infectious diseases and public health emergencies, vector mosquito control, personal protection, and improved environmental sanitation have greatly reduced dengue prevalence. Some new technologies in vector mosquito control are emerging and being applied for dengue control. China's territory spans tropical, subtropical, and temperate climates, hence understanding the dengue status in China will be of beneficial for the global prevention and control of dengue. Here, we review the dengue status in PR China for the past decades and the strategies emerging for dengue control.
Collapse
Affiliation(s)
- Tiantian Wu
- Institute of Human Virology, Zhongshan School of Medicine, Key Laboratory of Tropical Disease Control of Ministry of Education, Sun Yet-sen University, Guangzhou, China
| | - Zhongdao Wu
- Department of Parasitology, Zhongshan School of Medicine, Key Laboratory of Tropical Disease Control of Ministry of Education, Sun Yet-sen University, Guangzhou, China
| | - Yi-Ping Li
- Institute of Human Virology, Zhongshan School of Medicine, Key Laboratory of Tropical Disease Control of Ministry of Education, Sun Yet-sen University, Guangzhou, China
| |
Collapse
|
8
|
Cracknell Daniels B, Gaythorpe K, Imai N, Dorigatti I. Yellow fever in Asia-a risk analysis. J Travel Med 2021; 28:taab015. [PMID: 33506250 PMCID: PMC8045179 DOI: 10.1093/jtm/taab015] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND There is concern about the risk of yellow fever (YF) establishment in Asia, owing to rising numbers of urban outbreaks in endemic countries and globalisation. Following an outbreak in Angola in 2016, YF cases were introduced into China. Prior to this, YF had never been recorded in Asia, despite climatic suitability and the presence of mosquitoes. An outbreak in Asia could result in widespread fatalities and huge economic impact. Therefore, quantifying the potential risk of YF outbreaks in Asia is a public health priority. METHODS Using international flight data and YF incidence estimates from 2016, we quantified the risk of YF introduction via air travel into Asia. In locations with evidence of a competent mosquito population, the potential for autochthonous YF transmission was estimated using a temperature-dependent model of the reproduction number and a branching process model assuming a negative binomial distribution. RESULTS In total, 25 cities across Asia were estimated to be at risk of receiving at least one YF viraemic traveller during 2016. At their average temperatures, we estimated the probability of autochthonous transmission to be <50% in all cities, which was primarily due to the limited number of estimated introductions that year. CONCLUSION Despite the rise in air travel, we found low support for travel patterns between YF endemic countries and Asia resulting in autochthonous transmission during 2016. This supports the historic absence of YF in Asia and suggests it could be due to a limited number of introductions in previous years. Future increases in travel volumes or YF incidence can increase the number of introductions and the risk of autochthonous transmission. Given the high proportion of asymptomatic or mild infections and the challenges of YF surveillance, our model can be used to estimate the introduction and outbreak risk and can provide useful information to surveillance systems.
Collapse
Affiliation(s)
- Bethan Cracknell Daniels
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London
| | - Katy Gaythorpe
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London
| | - Natsuko Imai
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London
| | - Ilaria Dorigatti
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London
| |
Collapse
|
9
|
Liu L, Wu T, Liu B, Nelly RMJ, Fu Y, Kang X, Chen C, Huang Z, Wu B, Wang J, Zhu Z, Ma J, Liu M, Zhang Y, Bao C, Lin F, Chen W, Xia Q. The Origin and Molecular Epidemiology of Dengue Fever in Hainan Province, China, 2019. Front Microbiol 2021; 12:657966. [PMID: 33841385 PMCID: PMC8025777 DOI: 10.3389/fmicb.2021.657966] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 03/02/2021] [Indexed: 01/20/2023] Open
Abstract
There was an outbreak of Dengue fever on September 5, 2019, in Hainan Province, which has not been endemic for 28 years. We aim to describe the clinical and epidemiological features of the 2019 outbreak in Hainan Province and identify the cause. All type 1 Dengue fever cases that occurred in this outbreak of Hainan exhibited mild clinical symptoms. The epidemiological investigations indicate that the outbreak might originate from workers in the Xiuying area, Haikou City, form a concentrated outbreak, and then spread out. Bayesian phylogenies results and epidemiological data were used to infer a likely series of events for the dengue virus's potential spread and trace the possible sources. The strains' sequences were close to a sequence from the nearby Guangdong province, supporting the hypothesis that the dengue virus was imported from Guangdong province and then spread across Hainan province. Furthermore, it is interesting that two other strains didn't group with this cluster, suggesting that additional introduction pathways might exist. The study indicated that the dengue fever epidemic presented two important modes in Hainan. Firstly, epidemics prevalence was caused by imported cases, and then endogenous epidemics broke out in the natural epidemic focus.
Collapse
Affiliation(s)
- Lin Liu
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Tao Wu
- Department of Infectious Diseases, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Biao Liu
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Rajaofera Mamy Jayne Nelly
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Yumei Fu
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Xun Kang
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Chuizhe Chen
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Zenyan Huang
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| | - Biao Wu
- Department of Infectious Diseases, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jiao Wang
- Department of Infectious Diseases, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Zhongyi Zhu
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Jinmin Ma
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Ming Liu
- Department of Infectious Diseases, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yanru Zhang
- Department of Infectious Diseases, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Chuanyu Bao
- Department of Emergency Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Feng Lin
- Department of Infectious Diseases, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Weijun Chen
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Qianfeng Xia
- NHC Key Laboratory of Control of Tropical Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Tropical Medicine and Laboratory Medicine, Hainan Medical University, Haikou, China
| |
Collapse
|
10
|
Effects of Overwintering on the Survival and Vector Competence of Aedes albopictus in the Urban Life Cycle of Dengue Virus in Guangzhou, China. Virol Sin 2021; 36:755-761. [PMID: 33666834 DOI: 10.1007/s12250-021-00356-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/21/2020] [Indexed: 01/22/2023] Open
Abstract
The Pearl River Delta, where Aedes albopictus (Ae. albopictus) is the only vector for dengue transmission, has exhibited one of the highest dengue burdens in southern China in recent decades. However, whether dengue virus (DENV) can overwinter in Ae. albopictus in the Pearl River Delta has not been determined to date. In this study, 300 field-derived Ae. albopictus mosquitoes from Guangzhou that were infected with the predominant endemic DENV-1 strain were investigated under simulated urban balcony environment from October 16, 2016, to June 16, 2017. The vertical transmission of DENV in the infected overwintering Ae. albopictus was analyzed. The DENV infected overwintering mosquitoes were evaluated for viral load at nine-time points using reverse transcription-quantitative PCR. The vector competence of the infected overwintering Ae. albopictus was also investigated by using suckling mice. Adult mosquitoes and larvae were found during the observation period. The vertical transmission of DENV-1 was documented. The DENV-1-positive rates between overwintering males and females had no difference. The proportion of DENV-1-positive overwintering mosquitoes decreased over time and had no difference beyond three months after the experiment. Overwintering mosquitoes can spread DENV-1 to hosts. No engorged mosquitoes at an ambient temperature below 15 °C were observed. The ratio of engorged mosquitoes was positively correlated with the ambient temperature ranging from 15 to 30 °C. Our results demonstrated that DENV can overwinter in Ae. albopictus in the Pearl River Delta, Ae. albopictus is the competent vector for DENV, and maintain autochthonous dengue outbreaks in the Pearl River Delta through vertical transmission.
Collapse
|
11
|
Metelmann S, Liu X, Lu L, Caminade C, Liu K, Cao L, Medlock JM, Baylis M, Morse AP, Liu Q. Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model. PLoS Negl Trop Dis 2021; 15:e0009153. [PMID: 33770107 PMCID: PMC7996998 DOI: 10.1371/journal.pntd.0009153] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 01/20/2021] [Indexed: 01/04/2023] Open
Abstract
Dengue is considered non-endemic to mainland China. However, travellers frequently import the virus from overseas and local mosquito species can then spread the disease in the population. As a consequence, mainland China still experiences large dengue outbreaks. Temperature plays a key role in these outbreaks: it affects the development and survival of the vector and the replication rate of the virus. To better understand its implication in the transmission risk of dengue, we developed a delay differential equation model that explicitly simulates temperature-dependent development periods and tested it with collected field data for the Asian tiger mosquito, Aedes albopictus. The model predicts mosquito occurrence locations with a high accuracy (Cohen's κ of 0.78) and realistically replicates mosquito population dynamics. Analysing the infection dynamics during the 2014 dengue outbreak that occurred in Guangzhou showed that the outbreak could have lasted for another four weeks if mosquito control interventions had not been undertaken. Finally, we analyse the dengue transmission risk in mainland China. We find that southern China, including Guangzhou, can have more than seven months of dengue transmission per year while even Beijing, in the temperate north, can have dengue transmission during hot summer months. The results demonstrate the importance of using detailed vector and infection ecology, especially when vector-borne disease transmission risk is modelled over a broad range of climatic zones.
Collapse
Affiliation(s)
- Soeren Metelmann
- Institute for Infection and Global Health, University of Liverpool, Liverpool, United Kingdom
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, United Kingdom
| | - Xiaobo Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liang Lu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cyril Caminade
- Institute for Infection and Global Health, University of Liverpool, Liverpool, United Kingdom
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, United Kingdom
| | - Keke Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lina Cao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Shandong University, Jinan, China
| | - Jolyon M. Medlock
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, United Kingdom
- Medical Entomology Group, Public Health England, Salisbury, United Kingdom
| | - Matthew Baylis
- Institute for Infection and Global Health, University of Liverpool, Liverpool, United Kingdom
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, United Kingdom
| | - Andrew P. Morse
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, United Kingdom
- School of Environmental Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Shandong University, Jinan, China
| |
Collapse
|
12
|
Liu X, Liu K, Yue Y, Wu H, Yang S, Guo Y, Ren D, Zhao N, Yang J, Liu Q. Determination of Factors Affecting Dengue Occurrence in Representative Areas of China: A Principal Component Regression Analysis. Front Public Health 2021; 8:603872. [PMID: 33537277 PMCID: PMC7848178 DOI: 10.3389/fpubh.2020.603872] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 12/10/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Determination of the key factors affecting dengue occurrence is of significant importance for the successful response to its outbreak. Yunnan and Guangdong Provinces in China are hotspots of dengue outbreak during recent years. However, few studies focused on the drive of multi-dimensional factors on dengue occurrence failing to consider the possible multicollinearity of the studied factors, which may bias the results. Methods: In this study, multiple linear regression analysis was utilized to explore the effect of multicollinearity among dengue occurrences and related natural and social factors. A principal component regression (PCR) analysis was utilized to determine the key dengue-driven factors in Guangzhou city of Guangdong Province and Xishuangbanna prefecture of Yunnan Province, respectively. Results: The effect of multicollinearity existed in both Guangzhou city and Xishuangbanna prefecture, respectively. PCR model revealed that the top three contributing factors to dengue occurrence in Guangzhou were Breteau Index (BI) (positive correlation), the number of imported dengue cases lagged by 1 month (positive correlation), and monthly average of maximum temperature lagged by 1 month (negative correlation). In contrast, the top three factors contributing to dengue occurrence in Xishuangbanna included monthly average of minimum temperature lagged by 1 month (positive correlation), monthly average of maximum temperature (positive correlation), monthly average of relative humidity (positive correlation), respectively. Conclusion: Meteorological factors presented stronger impacts on dengue occurrence in Xishuangbanna, Yunnan, while BI and the number of imported cases lagged by 1 month played important roles on dengue transmission in Guangzhou, Guangdong. Our findings could help to facilitate the formulation of tailored dengue response mechanism in representative areas of China in the future.
Collapse
Affiliation(s)
- Xiaobo Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Keke Liu
- Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yujuan Yue
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haixia Wu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shu Yang
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Nanchang Center for Disease Control and Prevention, Nanchang, China
| | - Yuhong Guo
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongsheng Ren
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ning Zhao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
13
|
Xiong Y, Luo Y, Li H, Wu W, Ruan X, Mu X. Rapid visual detection of dengue virus by combining reverse transcription recombinase-aided amplification with lateral-flow dipstick assay. Int J Infect Dis 2020; 95:406-412. [PMID: 32272263 DOI: 10.1016/j.ijid.2020.03.075] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/26/2020] [Accepted: 03/26/2020] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES Dengue caused by infection with the dengue virus (DENV) is endemic in the tropical and subtropical regions of the world and of greatest public health concern. With more large outbreaks in rural areas, the purpose of this study was to develop a point-of-care test using recombinase-aided amplification and lateral-flow dipsticks for rapidly detecting DENV in low-resource settings. METHODS The primers for the recombinase-aided amplification (RAA) assay were designed based on 3' UTR of the DENV genome and screened. The RAA temperature, time and the concentration of primers were then optimized, as well as the lateral-flow dipstick assay (LFD) time. Finally, the diagnostic performance of the reverse transcription (RT)-RAA-LFD assay was evaluated using blood samples from 247 patients who were clinically suspected to be infected with DENV. RESULTS The RAA primer pair F1/R2 was the optimal combination for detecting DENV. The RT-RAA was performed in an incubator block at 37°C for 20minutes, and the amplicons were visible in the flow dipsticks from a naked eye within 3minutes. The detection limit of the developed RT-RAA-LFD assay was 10 copies/μL with high specificity for DENV. Compared with commercial reverse transcription quantitative PCR assay, the kappa value of RT-RAA-LFD in the 247 clinical samples was 0.957. CONCLUSIONS In this study, a rapid and visual point-of-care test based on RT-RAA and LFD assay was developed. It was found to be suitable for reliable detection of DENV in low-resource settings with limited laboratory capabilities and optimal storage conditions.
Collapse
Affiliation(s)
- Yufeng Xiong
- Department of Clinical laboratory, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Yasha Luo
- Department of Clinical laboratory, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Huan Li
- Department of Clinical laboratory, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Weixiang Wu
- Department of Clinical laboratory, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Xiaolin Ruan
- Department of Clinical laboratory, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Xiaoping Mu
- Department of Clinical laboratory, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China.
| |
Collapse
|