Literature DB >> 32838192

Analysis of COVID-19 Cases and Public Measures in China.

Chun-Song Hu1.   

Abstract

This paper briefly analyzes COVID-19 cases during Wuhan lockdown and travel restrictions on 23 January 2020 to 23 June 2020, which included total confirmed, in critical condition, deaths, recovered, and suspected cases in China. Results showed that there were 28,942 suspected cases on February 8, 2020, at the peak; then, it almost declined continually to only several cases. Total confirmed cases were more than 80,000 on March 1, 2020, but less than 84,000, and deaths were more than 3000 on March 4, 2020, but less than 4640, totally, thanks for the right public measures for COVID-19 in China, such as the Wuhan City lockdown and travel restrictions for isolation; positive screening and testing; and establishing a Huoshenshan hospital, a Leishenshan hospital, and a number of Fangcang shelter hospitals, traditional Chinese medicine and a combination of Chinese and western medicine, and the launch of the clinical trials of antiviral drugs (Lianhua Qingwen, remdesivir, and chloroquine). In addition, the iRT-ABCDEF program is very useful to control domestic, imported, and asymptomatic cases. Cases in critical condition decrease continually after the peak of 11,977 cases on February 18, 2020, and recovered cases increase continually to over 78,400 cases due to these right public measures and effective treatments. In recent months, there are only 2 deaths and only about ten cases in critical condition. All in all, these public measures in China are confirmed to be very effective and are worth conducting in countries worldwide. © Springer Nature Switzerland AG 2020.

Entities:  

Keywords:  COVID-19; Infectious disease; Prevention; Public heath; SARS-CoV-2

Year:  2020        PMID: 32838192      PMCID: PMC7429092          DOI: 10.1007/s42399-020-00426-6

Source DB:  PubMed          Journal:  SN Compr Clin Med        ISSN: 2523-8973


Introduction

The outbreak of a severe respiratory disease [1, 2] at the end of 2019 has already been controlled successfully in China. This emerging infectious disease was ever named a novel coronavirus (2019-nCoV) pneumonia (NCP), and it is a major threat to public health according to the World Health Organization (WHO). Then, this coronavirus SARS-CoV-2 disease was named as COVID-19 by the WHO. Genome sequences from samples of patients confirmed that a novel RNA virus originated from its natural reservoir host—bats [3, 4]. But an animal just represents an intermediate host [5]. And pangolins should also be considered as possible hosts since metagenomic sequencing identified pangolin-associated coronaviruses [6]. The angiotensin-converting enzyme 2 (ACE2) is a possible entry receptor for SARS-CoV-2 binding cell in humans. Here is a preliminary analysis of COVID-19 cases during Wuhan lockdown and travel restrictions on 23 January 2020 to 23 June 2020, which included total confirmed, in critical condition, deaths, recovered, and suspected cases in China.

Methods

Data Collections

Data were collected from January 23, 2020, the date of the Wuhan City lockdown and travel restrictions, to June 23, 2020. The information on total confirmed, in critical condition, deaths, recovered, and suspected cases was from the official website of the National Health Commission (http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml), China.

Statistical Analysis

Statistical analysis was performed by SPSS 17 software with t test for comparisons between two groups. P values < 0.05 were considered to denote statistical significance.

Results

Data (Table 1 and Table 2) showed that there was 28,942 suspected cases on February 8, 2020, at the peak; then, it almost declined continually to only several cases. Total confirmed cases were more than 80,000 on March 1, 2020, but less than 84,000, and deaths were more than 3000 on March 4, 2020, but less than 4640, totally, thanks for the right public measures for COVID-19 in China, such as the Wuhan City lockdown and travel restrictions for isolation; positive screening and testing; and establishing a Huoshenshan hospital, a Leishenshan hospital, and a number of Fangcang shelter hospitals, traditional Chinese medicine (TCM) and a combination of Chinese and western medicine, and the launch of the clinical trials of antiviral drugs (Lianhua Qingwen, remdesivir, and chloroquine, etc.). Cases in critical condition decreased continually after the peak of 11,977 cases on February 18, 2020, and recovered cases increased continually to over 78,400 due to these right public measures and effective treatments (Fig. 1). In recent months, there are only 2 deaths and only about ten cases in critical condition.
Table 1

Data on COVID-19 cases in China during January 23 to June 23, 2020

TimeTotal confirmed casesCases in critical conditionDeathsRecovered casesSuspected cases
23-June-202083,43012463478,42818
23-May-202082,9748463478,2619
22-May-202082,9719463478,2586
21-May-202082,9718463478,2557
20-May-202082,9678463478,2497
19-May-202082,9659463478,2447
18-May-202082,96010463478,2413
17-May-202082,9548463478,2384
16-May-202082,94710463478,2274
15-May-202082,94111463378,2193
14-May-202082,93311463378,2094
13-May-202082,9299463378,1954
12-May-202082,92610463378,1894
11-May-202082,91910463378,1713
10-May-202082,9189463378,1443
09-May-202082,9189463378,1443
08-May-202082,90113463378,1204
07-May-202082,88618463377,9936
06-May-202082,88523463377,9574
05-May-202082,88326463377,9115
04-May-202082,88129463377,8532
03-May-202082,88033463377,7663
02-May-202082,87734463377,71310
01-May-202082,87537463377,68511
30-April-202082,87438463377,6429
29-April-202082,86241463377,61010
28-April-202082,85850463377,57810
27-April-202082,83650463377,5559
26-April-202082,83052463377,47410
25-April-202082,82751463277,39412
24-April-202082,81649463277,34617
23-April-202082,80457463277,25720
22-April-202082,79863463277,20720
21-April-202082,78878463277,15135
20-April-202082,75882463277,12337
19-April-202082,74781463277,08443
18-April-202082,73585463277,06248
17-April-202082,71985463277,02963
16-April-202082,36789334277,94462
15-April-202082,34195334277,89263
14-April-202082,295113334277,81673
13-April-202082,249116334177,73872
12-April-202082,160121334177,66372
11-April-202082,052139333977,57582
10-April-202081,953141333977,52544
09-April-202081,907144333677,45553
08-April-202081,865176333577,37073
07-April-202081,802189333377,27983
06-April-202081,740211333177,16789
05-April-202081,708265333177,07888
04-April-202081,669295332976,964107
03-April-202081,639331332676,751114
02-April-202081,620379332276,571135
01-April-202081,589429331876,408153
31-March-202081,554466331276,238172
30-March-202081,518528330576,052183
29-March-202081,470633330475,770168
28-March-202081,439742330075,448174
27-March-202081,394921329574,971184
26-March-202081,3401034329274,588189
25-March-202081,2851235328774,051159
24-March-202081,2181399328173,650134
23-March-202081,1711573327773,159132
22-March-202081,0931749327072,703136
21-March-202081,0541845326172,244118
20-March-202081,0081963325571,740106
19-March-202080,9672136324871,150104
18-March-202080,9282314324570,420105
17-March-202080,8942622323769,601119
16-March-202080,8812830322668,679128
15-March-202080,8603032321367,749134
14-March-202080,8443226319966,911113
13-March-202080,8243610318965,541115
12-March-202080,8134020317664,111147
11-March-202080,7934257316962,793253
10-March-202080,7784492315861,475285
09-March-202080,7544794313659,897349
08-March-202080,7355111311958,600421
07-March-202080,6955264309757,065458
06-March-202080,6515489307055,404502
05-March-202080,5525737304253,726482
04-March-202080,4095952301252,045522
03-March-202080,2706416298149,856520
02-March-202080,1516806294347,204587
01-March-202080,0267110291244,462715
29-February-202079,8247365287041,625851
28-February-202079,2517664283539,0021418
27-February-202078,8247952278836,1172308
26-February-202078,4978346274432,4952358
25-February-202078,0648752271529,7452491
24-February-202077,6589126266327,3232824
23-February-202077,1509915259224,7343434
22-February-202076,93610,968244222,8884148
21-February-202076,28811,477234520,6595365
20-February-202075,46511,633223618,2645206
19-February-202074,57611,864211816,1554922
18-February-202074,18511,977200414,3765248
17-February-202072,43611,741186812,5526242
16-February-202070,54810,644177010,8447264
15-February-202068,50011,272166594198228
14-February-202066,49211,053152380968969
13-February-202063,85110,2041380672310,109
12-February-202059,80480301367591113,435
11-February-202044,65382041113474016,067
10-February-202042,63873331016399621,675
09-February-202040,1716484908328123,589
08-February-202037,1986188811264928,942
07-February-202034,5466101722205027,657
06-February-202031,1614821636154026,359
05-February-202028,0183859*563115324,702
04-February-202024,324321949089223,260
03-February-202020,438278842563223,214
02-February-202017,205229636147521,558
01-February-202014,380211030432819,544
31-January-202011,791179525924317,988
30-January-20209692152721317115,238
29-January-20207711137017012412,167
28-January-2020597412391321039239
27-January-20204515976106606973
26-January-2020274446180515794
25-January-2020197532456492684
24-January-2020128723741381965
23-January-202083017725341072
Table 2

Analysis of CIVID-19 cases during January 23 to June 23, 2020 in China

Cases\times20,200,12320,200,22320,200,32320,200,42320,200,52320,200,623
Total confirmed83077150*81171*82804*82974*83430*
In critical condition1779915*1573*57*8*12*
Deaths252592*3277*4632*4634*4634*
Recovered3424734*73159*77257*78261*78428*
Suspected10723434*132*20*9*18*

*P < 0.001 when compared with cases on January 23, 2020

Fig. 1

The curve on analysis of COVID-19 cases in China during January 23 to June 23, 2020. T(1:10000): total confirmed cases; R(1:10000): recovered cases; D(1:1000): deaths; C(1:1000): cases in critical condition; S(1:500): suspected cases

Data on COVID-19 cases in China during January 23 to June 23, 2020 Analysis of CIVID-19 cases during January 23 to June 23, 2020 in China *P < 0.001 when compared with cases on January 23, 2020 The curve on analysis of COVID-19 cases in China during January 23 to June 23, 2020. T(1:10000): total confirmed cases; R(1:10000): recovered cases; D(1:1000): deaths; C(1:1000): cases in critical condition; S(1:500): suspected cases

Discussion

So far, there were over 10 million confirmed cases in the globe after the pandemic of COVID-19 was declared by the WHO [7]. However, there were less 90,000 cases in China mainland. If compared with cases in major countries outside China, COVID-19 cases confirmed in China were earlier but less (definitely, P < 0.001). This is highly linked to positive and effective public measures in China. With increasing understanding on the epidemiological, clinical, laboratory, and radiological characteristics; treatment; and clinical outcomes of COVID-19 patients [8, 9], there will be no possible second pandemic in China except for only some domestic, imported, and asymptomatic cases. Here is a brief summary on these powerful measures for prevention and control of COVID-19, and it will be helpful to fight against COVID-19 worldwide.

Lockdown and Travel Restrictions for Isolation

Since increasing evidence shows that human-to-human transmission has occurred among close contacts [10, 11], it is easy to understand that lockdown is very helpful to curb the spread of the epidemic. And, its effect of delaying and halting the outward spread of the SARS-CoV-2 was very positive [12], but it needs to combine with the control of transmission in the community [13]. Extending the statutory holiday and adopting a flexible working system to encourage residents to stay at home, cut off the transmission, and protect vulnerable individuals will effectively isolate the source of infection [14]. COVID-19 more likely affects older males with comorbidities and can result in severe and even fatal respiratory diseases [15], but there is currently no evidence of maternal-fetal SARS-CoV-2 transmission since no positive results were reported in testing on neonatal throat swabs and breast-milk samples [16-18].

Early Detection and Prohibition of Gatherings

Due to rapid transmissions, large-scale public health interventions need to be implement immediately in cities and rural regions with the pandemic [19]. All visitors were required to wear masks and to be detected by the temperature tests in the very beginning to prevent the spread of COVID-19 due to fever in 83% patients and cough in 82% patients [15]. And, local high-hazard regions had undergone door-to-door screenings for fighting against COVID-19. All confirmed cases and close contacts had been promptly quarantined and closed down for early detection of suspected cases. In many cities and communities, electronic proofs of access and health were required for all visitors to prevent imported COVID-19. A series of bans were issued for prohibiting gathering. Universities and middle schools carried out online courses. Since there were possible asymptomatic cases of potentially COVID-19 infection [20-22], it is very important for isolation of 2 weeks for those closely contacted with confirmed cases.

Releasing Information and Avoiding Panic

The epidemic information was released in time by radio and television, internet, mobile phone, and WeChat. The diagnostic methods and treating programs were unclassified, and experts were invited to popularize scientific propaganda so as to stabilize the mood of residents and avoid possible panic by effective psychological channels. Open letters were widely posted to the community to publicize the harm of COVID-19 as effective preventive measures. Especially, a healthy lifestyle which includes five core elements, “environment-sleep-emotion-exercise-diet” intervention [E(e)SEEDi], also named the magic “polypill” [23], is highly encouraged because of its improvement of one’s immunity (Table 3).
Table 3

“Environment-sleep-emotion-exercise-diet” intervention [E(e)SEEDi] and immunity

E(e)SEEDiImmunity (−)Immunity (+)
External environment

Air pollution and noise or e-noise

Lack of social relationship and friendship

Lower social-economic status and income

Enjoy sunshine

Often communicate with your loved ones

Internal (oneself) environment

Chronic or acute infection

Other chronic diseases, such as cardiovascular disease, type 2 diabetes, and cancer

Wash your hands often

Wearing a mask

Sleep

Insomnia or sleep not enough

Obstructive sleep apnea (OSA)

Stay up late

Get enough sleep

(7–9 h/night)

Have a nap at noon

Emotion

Anxiety or depression

Pessimism and thinking the worst

Have work pressure or overload

Death of a spouse

Smile, be humorous, and optimistic

Daydreaming, having a good mood

Laughter (stress hormone levels drop) or limit pressure

Exercise

Lack of physical activity

Rarely walk or often drive

Adhere to massage

Keep exercising

Maintain a healthy weight

Ride a bike

Take deep breaths and practice yoga

Diet

Excessive drinking

Overuse of antibiotics

Smoking

Do not smoke and limit alcohol consumption

Drink more water including honey or lemon water

Eat lots of fruits and vegetables

Morning or afternoon tea (black tea, green tea, ginseng tea)

Often eat deep sea fish, chicken soup, and yogurt

“Environment-sleep-emotion-exercise-diet” intervention [E(e)SEEDi] and immunity Air pollution and noise or e-noise Lack of social relationship and friendship Lower social-economic status and income Enjoy sunshine Often communicate with your loved ones Chronic or acute infection Other chronic diseases, such as cardiovascular disease, type 2 diabetes, and cancer Wash your hands often Wearing a mask Insomnia or sleep not enough Obstructive sleep apnea (OSA) Stay up late Get enough sleep (7–9 h/night) Have a nap at noon Anxiety or depression Pessimism and thinking the worst Have work pressure or overload Death of a spouse Smile, be humorous, and optimistic Daydreaming, having a good mood Laughter (stress hormone levels drop) or limit pressure Lack of physical activity Rarely walk or often drive Adhere to massage Keep exercising Maintain a healthy weight Ride a bike Take deep breaths and practice yoga Excessive drinking Overuse of antibiotics Smoking Do not smoke and limit alcohol consumption Drink more water including honey or lemon water Eat lots of fruits and vegetables Morning or afternoon tea (black tea, green tea, ginseng tea) Often eat deep sea fish, chicken soup, and yogurt

Special Hospitals and Clinical Trials for Antiviral Treatment

In order to treat all COVID-19 patients in time, a Huoshenshan hospital, a Leishenshan hospital, and a number of Fangcang shelter hospitals [24] were established in Wuhan which were rare miracles, and significant medical supplies were offered for urgent needs, for example, N95 masks, protective clothings, and ECMO, and many medical teams and famous experts were sent to Wuhan. And, remdesivir [25, 26], a possible effective antiviral drug for the treatment of COVID-19, was imported. Of course, its clinical effect needs to be confirmed by further and large-scale clinical trials. With the in-depth studies on clinical characteristics of COVID-19 [27]; the establishment of rapid diagnostic methods; integration of traditional Chinese and western medicine; screening specific antiviral drugs in the labs; the launch of the clinical trials on Lianhua Qingwen, remdesivir, and chloroquine due to effective inhibition of SARS-CoV-2 in vitro and in vivo [28, 29], and other drugs; and rapid developing of COVID-19 vaccines, as well as the developed iRT-ABCDEF program [30-34] for domestic, imported, and asymptomatic cases, rolling victory had been achieved in China. In addition, convalescent plasma therapy was well tolerated and could potentially improve the clinical outcomes in severe COVID-19 cases [35].

Conclusion and Prospects

Powerful public measures for combating COVID-19 were in time, rational, right, and scientific. These measures were confirmed to be very effective and are worth conducting worldwide including Brazil and Italy [36] and were highly praised by the WHO and many countries. It is time for global cooperation and information sharing [37, 38]. People should pay more attention to the role of laws on public health since Health in All Laws is a better strategy for global health. With the further studies on structures of the SARS-CoV-2 [39-41], and a SI(R) model on the COVID-19 pandemic [42], effective vaccines have been developed and now clinical trials are underway for better fighting against COVID-19.
  40 in total

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Authors:  Chunsong Hu; Tengiz Tkebuchava; Dayi Hu
Journal:  Eur Heart J       Date:  2019-04-14       Impact factor: 29.983

2.  Grants supporting research in China.

Authors:  Chunsong Hu
Journal:  Eur Heart J       Date:  2018-07-01       Impact factor: 29.983

3.  Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins.

Authors:  Tommy Tsan-Yuk Lam; Na Jia; Ya-Wei Zhang; Marcus Ho-Hin Shum; Jia-Fu Jiang; Yi-Gang Tong; Hua-Chen Zhu; Yong-Xia Shi; Xue-Bing Ni; Yun-Shi Liao; Wen-Juan Li; Bao-Gui Jiang; Wei Wei; Ting-Ting Yuan; Kui Zheng; Xiao-Ming Cui; Jie Li; Guang-Qian Pei; Xin Qiang; William Yiu-Man Cheung; Lian-Feng Li; Fang-Fang Sun; Si Qin; Ji-Cheng Huang; Gabriel M Leung; Edward C Holmes; Yan-Ling Hu; Yi Guan; Wu-Chun Cao
Journal:  Nature       Date:  2020-03-26       Impact factor: 49.962

4.  Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.

Authors:  Joseph T Wu; Kathy Leung; Gabriel M Leung
Journal:  Lancet       Date:  2020-01-31       Impact factor: 79.321

5.  Data sharing for novel coronavirus (COVID-19).

Authors:  Vasee Moorthy; Ana Maria Henao Restrepo; Marie-Pierre Preziosi; Soumya Swaminathan
Journal:  Bull World Health Organ       Date:  2020-03-01       Impact factor: 9.408

Review 6.  Fangcang shelter hospitals: a novel concept for responding to public health emergencies.

Authors:  Simiao Chen; Zongjiu Zhang; Juntao Yang; Jian Wang; Xiaohui Zhai; Till Bärnighausen; Chen Wang
Journal:  Lancet       Date:  2020-04-02       Impact factor: 79.321

7.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

8.  Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records.

Authors:  Huijun Chen; Juanjuan Guo; Chen Wang; Fan Luo; Xuechen Yu; Wei Zhang; Jiafu Li; Dongchi Zhao; Dan Xu; Qing Gong; Jing Liao; Huixia Yang; Wei Hou; Yuanzhen Zhang
Journal:  Lancet       Date:  2020-02-12       Impact factor: 79.321

9.  A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model.

Authors:  Ettore Rocchi; Sara Peluso; Davide Sisti; Margherita Carletti
Journal:  SN Compr Clin Med       Date:  2020-05-12

10.  Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein.

Authors:  Alexandra C Walls; Young-Jun Park; M Alejandra Tortorici; Abigail Wall; Andrew T McGuire; David Veesler
Journal:  Cell       Date:  2020-03-09       Impact factor: 41.582

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