一亩三分地新型冠状病毒肺炎疫情实时动态

一亩三分地新型冠状病毒肺炎疫情实时动态（原名一亩三分地新型冠状病毒肺炎疫情实时动态·北美），是美国第一代华人群体设立的网站，最初用于追踪2019冠状病毒病在美国和加拿大的疫情^[1]，后来范围拓展到全世界^[2]。该网站展示了世界范围内包括确诊、死亡、治愈、检测及住院数的实时数据。目前已有上亿的访问量。据多家媒体报道，该网站的数据被数百个组织或机构使用，包括约翰·霍普金斯大学^[3]^[2]、维基百科^[2]、美国疾病控制与预防中心^[4]^[2]、芝加哥大学^[5]、美国环境系统研究所公司^[6]。

评价

该网站由志愿者维护，其中一名志愿者表示，准确的信息可以用来战胜病毒^[4]。《环球科学》杂志称其为“目前全世界最实时、广泛、地理区分度最细的新冠疫情追踪平台”^[2]。Cartography and Geographic Information Science（英语：Cartography and Geographic Information Science）刊登的论文认为其“在早期报告数据方面可能具有独特的优势，但在大多数情况下，它与迄今为止的其他数据集的不一致系数较低”^[7]。IEEE Access的论文称其“原始数据很难被公众获取”，为学术研究带来困难^[8]。

参考资料

^ Interview with co-creator of virus tracker website. news.cgtn.com. [2020-03-30] （英语）.
^ ^2.0 ^2.1 ^2.2 ^2.3 ^2.4 华人团队构建全球疫情实时追踪系统已被CDC、JHU使用. 环球科学. [2023-09-03]. （原始内容存档于2023-02-24）.
^ Kaiser, Jocelyn. ‘Every day is a new surprise.’ Inside the effort to produce the world’s most popular coronavirus tracker. Science. 2020-04-06 [2023-09-03]. ISSN 0036-8075. doi:10.1126/science.abc1085. （原始内容存档于2021-07-30）.
^ ^4.0 ^4.1 The Global Guardians: Plugging the COVID-19 data gap. news.cgtn.com. [2020-03-30]. （原始内容存档于2020-06-18）（英语）.
^ State-level data misses growing coronavirus clusters in U.S., including in the South | University of Chicago News. news.uchicago.edu. 2020-03-26 [2023-09-03]. （原始内容存档于2023-02-24）（英语）.
^ With this dashboard you can keep track on coronavirus cases in India. The Indian Express. 2020-03-23 [2023-09-03]. （原始内容存档于2022-05-23）（英语）.
^ Halpern, Dylan; Lin, Qinyun; Wang, Ryan; Yang, Stephanie; Goldstein, Steve; Kolak, Marynia. Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets. Cartography and Geographic Information Science. 2021-10-25 [2023-09-03]. ISSN 1523-0406. doi:10.1080/15230406.2021.1975311. （原始内容存档于2023-02-24）（英语）.
^ Lan, Hai; Sha, Dexuan; Malarvizhi, Anusha Srirenganathan; Liu, Yi; Li, Yun; Meister, Nadine; Liu, Qian; Wang, Zifu; Yang, Jingchao; Yang, Chaowei Phil. COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records. IEEE Access. 2021, 9 [2023-09-03]. ISSN 2169-3536. PMC 8545187 . PMID 34812396. doi:10.1109/ACCESS.2021.3085682. （原始内容存档于2022-11-01）.

外部链接

一亩三分地新型冠状病毒肺炎疫情实时动态（页面存档备份，存于互联网档案馆）

[1] Interview with co-creator of virus tracker website. news.cgtn.com. [2020-03-30] （英语）.

[huanqiukexue-2] 2.0 ^2.1 ^2.2 ^2.3 ^2.4 华人团队构建全球疫情实时追踪系统已被CDC、JHU使用. 环球科学. [2023-09-03]. （原始内容存档于2023-02-24）.

[3] Kaiser, Jocelyn. ‘Every day is a new surprise.’ Inside the effort to produce the world’s most popular coronavirus tracker. Science. 2020-04-06 [2023-09-03]. ISSN 0036-8075. doi:10.1126/science.abc1085. （原始内容存档于2021-07-30）.

[cgtn0329-4] 4.0 ^4.1 The Global Guardians: Plugging the COVID-19 data gap. news.cgtn.com. [2020-03-30]. （原始内容存档于2020-06-18）（英语）.

[5] State-level data misses growing coronavirus clusters in U.S., including in the South | University of Chicago News. news.uchicago.edu. 2020-03-26 [2023-09-03]. （原始内容存档于2023-02-24）（英语）.

[6] With this dashboard you can keep track on coronavirus cases in India. The Indian Express. 2020-03-23 [2023-09-03]. （原始内容存档于2022-05-23）（英语）.

[7] Halpern, Dylan; Lin, Qinyun; Wang, Ryan; Yang, Stephanie; Goldstein, Steve; Kolak, Marynia. Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets. Cartography and Geographic Information Science. 2021-10-25 [2023-09-03]. ISSN 1523-0406. doi:10.1080/15230406.2021.1975311. （原始内容存档于2023-02-24）（英语）.

[8] Lan, Hai; Sha, Dexuan; Malarvizhi, Anusha Srirenganathan; Liu, Yi; Li, Yun; Meister, Nadine; Liu, Qian; Wang, Zifu; Yang, Jingchao; Yang, Chaowei Phil. COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records. IEEE Access. 2021, 9 [2023-09-03]. ISSN 2169-3536. PMC 8545187 . PMID 34812396. doi:10.1109/ACCESS.2021.3085682. （原始内容存档于2022-11-01）.

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