A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China.
A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China.
复制标题
DOI：
10.2196/21685
复制
发表时间：
2020-09-17
影响因子：
7.4
通讯作者：
Ming WK
中科院分区：
文献类型：
--
作者：
He Z;Zhang CJP;Huang J;Zhai J;Zhou S;Chiu JW;Sheng J;Tsang W;Akinwunmi BO;Ming WK
由一种名为SARS-CoV-2的新型冠状病毒引起的新型肺炎样冠状病毒病（COVID-19）席卷中国和全球。此次疫情中实施了在之前感染疫情中有效的公共卫生措施（例如戴口罩、隔离）。利用最近信息和通信技术迅速发展的现有多层面社会网络数据，可以通过现代化的流行病学方法探索疾病传播和控制。通过使用时空数据和实时信息，我们可以更准确地估计与人类活动有关的疾病传播模式，并能够更有效地应对疫情。COVID-19爆发期间的两个真实的案例展示了新兴技术和数字数据在监测与疾病传播相关的人员流动方面的应用。尽管与使用数字流行病学相关的伦理问题仍在争论中，但本文中报告的案例可能有助于确定更有效的公共卫生措施，以及这种数字化流行病学方法在控制传染病爆发方面的未来应用，这为解决人口健康长期挑战提供了另一种现代前景。
A novel pneumonia-like coronavirus disease (COVID-19) caused by a novel coronavirus named SARS-CoV-2 has swept across China and the world. Public health measures that were effective in previous infection outbreaks (eg, wearing a face mask, quarantining) were implemented in this outbreak. Available multidimensional social network data that take advantage of the recent rapid development of information and communication technologies allow for an exploration of disease spread and control via a modernized epidemiological approach. By using spatiotemporal data and real-time information, we can provide more accurate estimates of disease spread patterns related to human activities and enable more efficient responses to the outbreak. Two real cases during the COVID-19 outbreak demonstrated the application of emerging technologies and digital data in monitoring human movements related to disease spread. Although the ethical issues related to using digital epidemiology are still under debate, the cases reported in this article may enable the identification of more effective public health measures, as well as future applications of such digitally directed epidemiological approaches in controlling infectious disease outbreaks, which offer an alternative and modern outlook on addressing the long-standing challenges in population health.
登录
查看更多内容
影响因子：
8.5
作者：
Adawi M;Bragazzi NL;Watad A;Sharif K;Amital H;Mahroum N
通讯作者：
Mahroum N
影响因子：
7.4
作者：
Fagherazzi, Guy;Goetzinger, Catherine;Huiart, Laetitia
通讯作者：
Huiart, Laetitia
DOI：
10.1073/pnas.1006219107
发表时间：
2010-12-14
影响因子：
11.1
作者：
Chan, Emily H.;Brewer, Timothy F.;Brownstein, John S.
通讯作者：
Brownstein, John S.
影响因子：
5.4
作者：
Luo, Wuqiong;Tay, Wee Peng;Leng, Mei
通讯作者：
Leng, Mei
影响因子：
4.4
作者：
Nsoesie EO;Brownstein JS;Ramakrishnan N;Marathe MV
通讯作者：
Marathe MV