COVID-19 pandemic in Wuhan - 2019–20 coronavirus outbreak in Wuhan, Hubei province, China. Article “2019冠狀病毒病武漢市疫情” in Chinese Wikipedia has 90.4 points for quality (as of July 1, 2025). The article contains 312 references and 15 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 4.76 points.
Since the creation of article “2019冠狀病毒病武漢市疫情”, its content was written by 61 registered users of Chinese Wikipedia and edited by 61 registered Wikipedia users in all languages.
The article is cited 830 times in Chinese Wikipedia and cited 830 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Chinese: #1956 03.2020 |
Global: #126892 03.2020 |
On 27 November 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, Thanksgiving, Stranger Things, season 5, Millie Bobby Brown, Hong Kong, Guinea-Bissau, Zootopia 2, ChatGPT, Wang Fuk Court fire, deaths in 2025.
In Chinese Wikipedia the most popular articles on that day were: 宏福苑大火, 香港火災列表, 嘉利大廈大火, 徐勤先, 龍虎風雲, 感恩节, 上海“11·15”特别重大火灾, 嘉禾大廈大火, 廣福邨, 跑馬地馬場大火.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+100+83.33+100+92.53)-4.76$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
