TitleAn overview for monitoring and prediction of pathogenic microorganisms in the atmosphere
AuthorsHuang, Jianping
Wang, Danfeng
Zhu, Yongguan
Yang, Zifeng
Yao, Maosheng
Shi, Xiaoming
An, Taicheng
Zhang, Qiang
Huang, Cunrui
Bi, Xinhui
Li, Jiang
Wang, Zifa
Liu, Yongqin
Zhu, Guibing
Chen, Siyu
Hang, Jian
Qiu, Xinghua
Deng, Weiwei
Tian, Huaiyu
Zhang, Tengfei
Chen, Tianmu
Liu, Sijin
Lian, Xinbo
Chen, Bin
Zhang, Beidou
Zhao, Yingjie
Wang, Rui
Li, Han
AffiliationLanzhou Univ, Coll Atmospher Sci, Collaborat Innovat Ctr Western Ecol Safety, Lanzhou 730000, Peoples R China
Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China
Guangzhou Med Univ, Affiliated Hosp 1, State Key Lab Resp Dis, Natl Clin Res Ctr Resp Dis,Guangzhou Inst Resp Hlt, Guangzhou 510230, Peoples R China
Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, China CDC Key Lab Environm & Populat Hlth, Beijing 100021, Peoples R China
Guangdong Univ Technol, Inst Environm Hlth & Pollut Control, Sch Environm Sci & Engn, Guangdong Hong Kong Macao Joint Lab Contaminants E, Guangzhou 510006, Peoples R China
Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
Tsinghua Univ, Vanke Sch Publ Hlth, Beijing 100084, Peoples R China
Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Key Lab Environm Protect & Resources Uti, Guangzhou 510640, Peoples R China
Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Canc Ctr, Natl Clin Res Ctr,Canc, Beijing 100021, Peoples R China
Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China
Lanzhou Univ, Ctr Pan Pole Environm 3, Lanzhou 730000, Peoples R China
Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 510640, Peoples R China
Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100871, Peoples R China
Peking Univ, Ctr Environm & Hlth, Beijing 100871, Peoples R China
Southern Univ Sci & Technol, Shenzhen Key Lab Soft Mech & Smart Mfg, Shenzhen 518055, Peoples R China
Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Shenzhen 518055, Peoples R China
Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Tianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China
Xiamen Univ, Sch Publ Hlth, State Key Lab Mol Vaccinol & Mol Diagnost, Xiamen 361102, Peoples R China
Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Chem & Ecotoxicol, Beijing 100085, Peoples R China
KeywordsANTIBIOTIC-RESISTANCE GENES
AIRBORNE TRANSMISSION
OUTBREAK CONTROL
VIRUS
COVID-19
TIME
INFECTION
IMPACT
CHINA
SIZE
Issue DateMay-2024
PublisherFUNDAMENTAL RESEARCH
AbstractCorona virus disease 2019 (COVID-19) has exerted a profound adverse impact on human health. Studies have demonstrated that aerosol transmission is one of the major transmission routes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Pathogenic microorganisms such as SARS-CoV-2 can survive in the air and cause widespread infection among people. Early monitoring of pathogenic microorganism transmission in the atmosphere and accurate epidemic prediction are the frontier guarantee for preventing large-scale epidemic outbreaks. Monitoring of pathogenic microorganisms in the air, especially in densely populated areas, may raise the possibility to detect viruses before people are widely infected and contain the epidemic at an earlier stage. The multi-scale coupled accurate epidemic prediction system can provide support for governments to analyze the epidemic situation, allocate health resources, and formulate epidemic response policies. This review first elaborates on the effects of the atmospheric environment on pathogenic microorganism transmission, which lays a theoretical foundation for the monitoring and prediction of epidemic development. Secondly, the monitoring technique development and the necessity of monitoring pathogenic microorganisms in the atmosphere are summarized and emphasized. Subsequently, this review introduces the major epidemic prediction methods and highlights the significance to realize a multi-scale coupled epidemic prediction system by strengthening the multidisciplinary cooperation of epidemiology, atmospheric sciences, environmental sciences, sociology, demography, etc. By summarizing the achievements and challenges in monitoring and prediction of pathogenic microorganism transmission in the atmosphere, this review proposes suggestions for epidemic response, namely, the establishment of an integrated monitoring and prediction platform for pathogenic microorganism transmission in the atmosphere.
URIhttp://hdl.handle.net/20.500.11897/720920
ISSN2096-9457
DOI10.1016/j.fmre.2023.05.022
IndexedESCI
Appears in Collections:环境科学与工程学院
环境模拟与污染控制国家重点联合实验室

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