/pandemic2020

Key statistics for the coronavirus outbreak originated from Wuhan in 2020

Primary LanguagePython

2020年新型冠状病毒感染趋势图

说明

这是根据卫建委发布的官方数据制作的每日疫情发展趋势图。每日830~930之间根据卫建委发布的最新疫情通报更新。

疫情趋势图

疑似，确诊，重症，死亡，治愈 - 历史累计

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疑似，确诊 - 每日新增

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死亡，治愈 - 每日新增

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统计数据

累计

日期 接触 观察 疑似 确诊 重症 死亡 治愈
22 02/11 451,462 185,037 16,067 44,653 8,204 1,113 4,740
21 02/10 428,438 187,728 21,675 42,638 7,333 1,016 3,996
20 02/09 399,487 187,518 23,589 40,171 6,484 908 3,281
19 02/08 371,905 188,183 28,942 37,198 6,188 811 2,649
18 02/07 345,498 189,660 27,657 34,546 6,101 722 2,050
17 02/06 314,028 186,045 26,359 31,161 4,821 636 1,540
16 02/05 282,813 186,345 24,702 28,018 3,859 563 1,153
15 02/04 252,154 185,555 23,260 24,324 3,219 490 892
14 02/03 221,015 171,329 23,214 20,438 2,788 425 632
13 02/02 189,583 152,700 21,558 17,205 2,296 361 475
12 02/01 163,844 137,594 19,544 14,380 2,110 304 328
11 01/31 136,987 118,478 17,988 11,791 1,795 259 243
10 01/30 113,579 102,427 15,238 9,692 1,527 213 171
9 01/29 88,693 81,947 12,167 7,711 1,370 170 124
8 01/28 65,537 59,990 9,239 5,974 1,239 132 103
7 01/27 47,833 44,132 6,973 4,515 976 106 60
6 01/26 32,799 30,453 5,794 2,744 461 80 51
5 01/25 23,431 21,556 2,684 1,975 324 56 49
4 01/24 15,197 13,967 1,965 1,287 237 41 38
3 01/23 9,507 8,420 1,072 830 177 25 34
2 01/22 5,897 4,928 393 571 95 17 nan
1 01/21 2,197 1,394 nan 440 102 9 nan
0 01/20 1,739 922 54 291 nan nan nan

当日新增

日期 接触 观察 疑似 确诊 重症 死亡 治愈
22 02/11 23,024 -2,691 -5,608 2,015 871 97 744
21 02/10 28,951 210 -1,914 2,467 849 108 715
20 02/09 27,582 -665 -5,353 2,973 296 97 632
19 02/08 26,407 -1,477 1,285 2,652 87 89 599
18 02/07 31,470 3,615 1,298 3,385 1,280 86 510
17 02/06 31,215 -300 1,657 3,143 962 73 387
16 02/05 30,659 790 1,442 3,694 640 73 261
15 02/04 31,139 14,226 46 3,886 431 65 260
14 02/03 31,432 18,629 1,656 3,233 492 64 157
13 02/02 25,739 15,106 2,014 2,825 186 57 147
12 02/01 26,857 19,116 1,556 2,589 315 45 85
11 01/31 23,408 16,051 2,750 2,099 268 46 72
10 01/30 24,886 20,480 3,071 1,981 157 43 47
9 01/29 23,156 21,957 2,928 1,737 131 38 21
8 01/28 17,704 15,858 2,266 1,459 263 26 43
7 01/27 15,034 13,679 1,179 1,771 515 26 9
6 01/26 9,368 8,897 3,110 769 137 24 2
5 01/25 8,234 7,589 719 688 87 15 11
4 01/24 5,690 5,547 893 457 60 16 4
3 01/23 3,610 3,492 679 259 82 8 nan
2 01/22 3,700 3,534 nan 131 -7 8 nan
1 01/21 458 472 nan 149 nan nan nan
0 01/20 nan nan nan nan nan nan nan

当日新增百分比

日期 接触 观察 疑似 确诊 重症 死亡 治愈
22 02/11 5.4% -1.4% -25.9% 4.7% 11.9% 9.5% 18.6%
21 02/10 7.2% 0.1% -8.1% 6.1% 13.1% 11.9% 21.8%
20 02/09 7.4% -0.4% -18.5% 8.0% 4.8% 12.0% 23.9%
19 02/08 7.6% -0.8% 4.6% 7.7% 1.4% 12.3% 29.2%
18 02/07 10.0% 1.9% 4.9% 10.9% 26.6% 13.5% 33.1%
17 02/06 11.0% -0.2% 6.7% 11.2% 24.9% 13.0% 33.6%
16 02/05 12.2% 0.4% 6.2% 15.2% 19.9% 14.9% 29.3%
15 02/04 14.1% 8.3% 0.2% 19.0% 15.5% 15.3% 41.1%
14 02/03 16.6% 12.2% 7.7% 18.8% 21.4% 17.7% 33.1%
13 02/02 15.7% 11.0% 10.3% 19.6% 8.8% 18.8% 44.8%
12 02/01 19.6% 16.1% 8.7% 22.0% 17.5% 17.4% 35.0%
11 01/31 20.6% 15.7% 18.0% 21.7% 17.6% 21.6% 42.1%
10 01/30 28.1% 25.0% 25.2% 25.7% 11.5% 25.3% 37.9%
9 01/29 35.3% 36.6% 31.7% 29.1% 10.6% 28.8% 20.4%
8 01/28 37.0% 35.9% 32.5% 32.3% 26.9% 24.5% 71.7%
7 01/27 45.8% 44.9% 20.3% 64.5% 111.7% 32.5% 17.6%
6 01/26 40.0% 41.3% 115.9% 38.9% 42.3% 42.9% 4.1%
5 01/25 54.2% 54.3% 36.6% 53.5% 36.7% 36.6% 28.9%
4 01/24 59.9% 65.9% 83.3% 55.1% 33.9% 64.0% 11.8%
3 01/23 61.2% 70.9% 172.8% 45.4% 86.3% 47.1% nan%
2 01/22 168.4% 253.5% 627.8% 29.8% -6.9% 88.9% nan%
1 01/21 26.3% 51.2% 0.0% 51.2% nan% nan% nan%
0 01/20 nan% nan% nan% nan% nan% nan% nan%

疫情蔓延时应该看什么电影

  1. Contagion (2011), IMDB 6.6, Matt Damon, Jude Law, Kate Winslet, Gwyneth Paltrow. 这是跟目前的outbreak最接近的电影，几乎一模一样的情节。不要轻易跟厨师握手。
  2. World War Z (2013), IMDB 7.0, Brad Pitt. 找到疫情源头至关重要，哪怕牺牲再多的海军陆战队员也再所不惜。身上有点小病未必是坏事。
  3. Outbreak (1995), IMDB 6.6, Dustin Hoffman, Rene Susso, Morgan Freeman, Kevin Bacon. 论病毒的产生跟政府研究生化武器之间的关系。找到原始带菌者（电影里是一只猴子）是培育疫苗的关键。
  4. Train to Busan (2016), IMDB 7.5, Yoo Gong, Ma Dong-seok. 在人群密集的地方如何保护自己，除了傍上马东锡这样的猛男以外
  5. Zombieland (2009), IMDB 7.6, Emma Stone, Woody Harrelson, Jesse Eisenberg. 在非常时期里非常实用的求生手册
  6. Zombieland: Double Tap (2019), IMDB 6.8, Woody Harrelson, Jesse Eisenberg, Emma Stone.在逃难时，四个人是比较合适的MDU (Minimum Deployment Unit）
  7. The Mist (2007), IMDB 7.1, Thomas Jane. 是待在原地还是外冲？
  8. 28 Days Later (2002), IMDB 7.6, Cillian Murphy, Naomie Harris. 瘟疫横行时，人比病毒更让人恐惧
  9. Perfect Sense (2011), IMDB 7.1, Ewan McGregor, Eva Green. 现在拥有的各种美好，不是理所当然的。
  10. War of the Worlds (2005), IMDB 6.5, Tom Cruise, Tim Robbins. 如何开车逃生，以及避开人群的重要性
  11. Shaun of the Dead (2004), Simon Pegg, Nick Frost. 不管在何种危难关头，都不能抛弃Prince的黑胶, Batman Forever的则可以。
  12. I Am Legend (2007), IMDB 7.2, Will Smith.
  13. Twelven Monkeys (1995), IMDB 8.0, Bruce Willis, Brad Pitt, Madeleine Stowe.
  14. Children of Men (2006), IMDB 7.9, Clive Owen, Julianne Moore, Chiwetel Ejiofor.