Huang 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
Collaborative Innovation Center for Western Ecological Safety, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Fundam Res. 2023 Aug 28;4(3):430-441. doi: 10.1016/j.fmre.2023.05.022. eCollection 2024 May.
Corona 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.
2019冠状病毒病（COVID-19）对人类健康产生了深远的不利影响。研究表明，气溶胶传播是严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的主要传播途径之一。SARS-CoV-2等致病微生物可在空气中存活并导致人群广泛感染。对大气中致病微生物传播进行早期监测并准确预测疫情，是预防大规模疫情爆发的前沿保障。对空气中致病微生物进行监测，尤其是在人口密集地区，可能会增加在人们广泛感染之前检测到病毒并在更早阶段控制疫情的可能性。多尺度耦合精准疫情预测系统可为政府分析疫情形势、分配卫生资源和制定疫情应对政策提供支持。本综述首先阐述了大气环境对致病微生物传播的影响，为疫情发展的监测和预测奠定了理论基础。其次，总结并强调了监测技术的发展以及在大气中监测致病微生物的必要性。随后，本综述介绍了主要的疫情预测方法，并强调了通过加强流行病学、大气科学、环境科学、社会学、人口统计学等多学科合作来实现多尺度耦合疫情预测系统的意义。通过总结大气中致病微生物传播监测和预测方面的成果与挑战，本综述提出了疫情应对建议，即建立大气中致病微生物传播的综合监测与预测平台。
