Correlation between the migration scale index and the number of new confirmed Novel Coronavirus Pneumonia cases in China

Abstract Background: In late December, 2019, patients of atypical pneumonia due to an unidentified microbial agent were reported in Wuhan, Hubei Province, China. Subsequently, a novel coronavirus was identified as the causative pathogen which was named 2019 novel coronavirus (2019-nCoV). As of Feb 12, 2020, more than 44,000 cases of 2019-nCoV infection have been confirmed in China and continue to expand. Provinces, municipalities and autonomous regions of China have launched first-level response to major public health emergencies one after another from Jan 23.2020, which means restricting movement of people among provinces, municipalities and autonomous regions. The aim of this study was to explore the correlation between the migration scale index and the number of confirmed Novel Coronavirus Pneumonia (NCP) cases and to depict the effect of restricting population movement. Methods: Excel 2010 was used to demonstrate the temporal distribution at the day level and SPSS 23.0 was used to analyze the correlation between the migration scale index and the number of confirmed NCP cases. Results: Since January 23, 2020, Wuhan migration scale index has dropped significantly and since January 26, 2020, Hubei province migration scale index has dropped significantly. New confirmed NCP cases per day in China except Wuhan gradually increased since January 24, 2020, and showed a downward trend from February 6, 2020. New confirmed NCP cases per day in China except Hubei province gradually increased since January 24, 2020, and maintained at a high level from January 24, 2020 to February 4, 2020, then showed a downward trend. Wuhan emigration scale index from January 9 to January 22, January 10 to January 23 and January 11 to January 24 was correlated with the number of new confirmed NCP cases per day in China except Wuhan from January 22 to February 4. Hubei province emigration scale index from January 10 to January 23 and January 11 to January 24 was correlated with the number of new confirmed NCP cases per day in China except Hubei province from January 22 to February 4.Conclusions: People who left Wuhan from January 9 to January 22 may lead to the outbreak in China except Wuhan and people who left Hubei province from January 10 to January 24 may lead to the outbreak in China except Hubei province. “Wuhan lockdown” and Hubei province launching first-level response to major public health emergencies may have had a good effect the control NCP epidemic. Because there were still new confirmed NCP cases in China except Wuhan and in China except Hubei province and this may indicate that the occurrence of second-generation cases.

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Correlation between the migration scale index and the number of new confirmed coronavirus disease 2019 cases in China

Epidemiology and Infection ◽

10.1017/s0950268820001119 ◽

2020 ◽

Vol 148 ◽

Cited By ~ 2

Author(s):

Huijie Chen ◽

Ye Chen ◽

Zhiyong Lian ◽

Lihai Wen ◽

Baijun Sun ◽

...

Keyword(s):

Public Health ◽

Temporal Distribution ◽

Hubei Province ◽

Downward Trend ◽

Good Effect ◽

Atypical Pneumonia ◽

Public Health Emergencies ◽

Autonomous Regions ◽

Novel Coronavirus ◽

High Level

Abstract In late December 2019, patients of atypical pneumonia due to an unidentified microbial agent were reported in Wuhan, Hubei Province, China. Subsequently, a novel coronavirus was identified as the causative pathogen which was named SARS-CoV-2. As of 12 February 2020, more than 44 000 cases of SARS-CoV-2 infection have been confirmed in China and continue to expand. Provinces, municipalities and autonomous regions of China have launched first-level response to major public health emergencies one after another from 23 January 2020, which means restricting movement of people among provinces, municipalities and autonomous regions. The aim of this study was to explore the correlation between the migration scale index and the number of confirmed coronavirus disease 2019 (COVID-19) cases and to depict the effect of restricting population movement. In this study, Excel 2010 was used to demonstrate the temporal distribution at the day level and SPSS 23.0 was used to analyse the correlation between the migration scale index and the number of confirmed COVID-19 cases. We found that since 23 January 2020, Wuhan migration scale index has dropped significantly and since 26 January 2020, Hubei province migration scale index has dropped significantly. New confirmed COVID-19 cases per day in China except for Wuhan gradually increased since 24 January 2020, and showed a downward trend from 6 February 2020. New confirmed COVID-19 cases per day in China except for Hubei province gradually increased since 24 January 2020, and maintained at a high level from 24 January 2020 to 4 February 2020, then showed a downward trend. Wuhan migration scale index from 9 January to 22 January, 10 January to 23 January and 11 January to 24 January was correlated with the number of new confirmed COVID-19 cases per day in China except for Wuhan from 22 January to 4 February. Hubei province migration scale index from 10 January to 23 January and 11 January to 24 January was correlated with the number of new confirmed COVID-19 cases per day in China except for Hubei province from 22 January to 4 February. Our findings suggested that people who left Wuhan from 9 January to 22 January, and those who left Hubei province from 10 January to 24 January, led to the outbreak in the rest of China. The ‘Wuhan lockdown’ and the launching of the first-level response to this major public health emergency may have had a good effect on controlling the COVID-19 epidemic. Although new COVID-19 cases continued to be confirmed in China outside Wuhan and Hubei provinces, in our opinion, these are second-generation cases.

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COVID-19 Pandemic: A Global Disaster

OIRT Journal of Humanities and Social Sciences ◽

10.53944/ojhss-2103 ◽

2021 ◽

Vol 1 (1) ◽

pp. 7-8

Author(s):

Solomon Arigwe Joseph ◽

Abuhuraira Ado Musa ◽

Faisal Muhammad ◽

Tijjani Muhammad Ahmad

Keyword(s):

Public Health ◽

World Health Organization ◽

Signs And Symptoms ◽

Viral Disease ◽

Hubei Province ◽

Public Health Emergency ◽

World Health ◽

Novel Coronavirus ◽

Health Organization

People began to become ill in late December 2019 in Wuhan, Hubei Province, China, and the illness was revealed to be a kind of pneumonia with unusual signs and symptoms. It was eventually discovered as a novel coronavirus, a virus that causes widespread sickness in animals and birds. World Health Organization (WHO) named this new viral disease coronavirus disease 2019 (COVID-19) and declared a Public Health Emergency of International Concern in January 2020.

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A comparison of COVID-19, SARS and MERS

PeerJ ◽

10.7717/peerj.9725 ◽

2020 ◽

Vol 8 ◽

pp. e9725 ◽

Cited By ~ 3

Author(s):

Tingting Hu ◽

Ying Liu ◽

Mingyi Zhao ◽

Quan Zhuang ◽

Linyong Xu ◽

...

Keyword(s):

Severe Acute Respiratory Syndrome ◽

Case Fatality ◽

Hubei Province ◽

World Health ◽

Atypical Pneumonia ◽

Organization Studies ◽

Optimal Method ◽

The World ◽

Novel Coronavirus ◽

Health Organization

In mid-December 2019, a novel atypical pneumonia broke out in Wuhan, Hubei Province, China and was caused by a newly identified coronavirus, initially termed 2019 Novel Coronavirus and subsequently severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of 19 May 2020, a total of 4,731,458 individuals were reported as infected with SARS-CoV-2 among 213 countries, areas or territories with recorded cases, and the overall case-fatality rate was 6.6% (316,169 deaths among 4,731,458 recorded cases), according to the World Health Organization. Studies have shown that SARS-CoV-2 is notably similar to (severe acute respiratory syndrome coronavirus) SARS-CoV that emerged in 2002–2003 and Middle East respiratory syndrome coronavirus (MERS-CoV) that spread during 2012, and these viruses all contributed to global pandemics. The ability of SARS-CoV-2 to rapidly spread a pneumonia-like disease from Hubei Province, China, throughout the world has provoked widespread concern. The main symptoms of coronavirus disease 2019 (COVID-19) include fever, cough, myalgia, fatigue and lower respiratory signs. At present, nucleic acid tests are widely recommended as the optimal method for detecting SARS-CoV-2. However, obstacles remain, including the global shortage of testing kits and the presentation of false negatives. Experts suggest that almost everyone in China is susceptible to SARS-CoV-2 infection, and to date, there are no effective treatments. In light of the references published, this review demonstrates the biological features, spread, diagnosis and treatment of SARS-CoV-2 as a whole and aims to analyse the similarities and differences among SARS-CoV-2, SARS-CoV and MERS-CoV to provide new ideas and suggestions for prevention, diagnosis and clinical treatment.

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COVID-19 Pandemic Impacts on U.S. Hospice Agencies: A National Survey of Hospice Nurses and Physicians

American Journal of Hospice and Palliative Medicine® ◽

10.1177/1049909121989987 ◽

2021 ◽

pp. 104990912198998

Author(s):

Janna E. Baker Rogers ◽

Lori A. Constantine ◽

Jesse M. Thompson ◽

Charles T. Mupamombe ◽

Jennifer M. Vanin ◽

...

Keyword(s):

Public Health ◽

Hospice Care ◽

The United States ◽

Free Text ◽

Negative Effects ◽

Psychosocial Effects ◽

Term Care ◽

Hospice Nurses ◽

Public Health Emergencies ◽

Novel Coronavirus

Background: Hospice agencies face unique challenges during times of widespread public health emergencies. The pandemic of novel coronavirus disease COVID-19 is widely affecting global healthcare systems. Aim: This study assesses effects of the COVID-19 pandemic on U.S. hospice agencies, staff, and patients as reported by hospice agency staff. Design: An anonymous electronic survey was developed. Free-text comments were assessed for impacts on hospice agencies, staff, and patients and their families. Setting/Participants: The target audience was members of the American Academy of Hospice and Palliative Medicine and the Hospice and Palliative Nurses Association who self-identified as being active with hospice agencies in the United States. Results: Reported impacts include inadequate supplies of personal protective equipment, changes in hospice services, and decreased access by hospice personnel to patients in long term care facilities. Flow of patients through hospice care settings was impeded. Agencies experienced changes in workforce availability and increased emotional support needs of staff. Patient and families experienced increased bereavement needs. Nearly one-third of respondents reported negative effects on patient outcomes, such as inadequate symptom management and negative psychosocial effects. Conclusion: Respondents indicate that the COVID-19 pandemic had negative effects on both hospice patient care and hospice agency functioning. Hospice agencies appear to face challenges unique among U.S. healthcare agencies due to their service delivery model and focus on interdisciplinary care. There is need for further exploration of the effects that the COVID-19 pandemic has on hospice agencies in order to improve care for their patient population during public health emergencies.

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Construction of a Medical Resource Sharing Mechanism Based on Blockchain Technology: Evidence from the Medical Resource Imbalance of China

Healthcare ◽

10.3390/healthcare9010052 ◽

2021 ◽

Vol 9 (1) ◽

pp. 52

Author(s):

Hu Liu ◽

Yuxuan Liu

Keyword(s):

Public Health ◽

Resource Sharing ◽

Medical Resource ◽

Medical Resources ◽

Technology System ◽

Public Health Emergencies ◽

Blockchain Technology ◽

Short Period ◽

Resource Storage ◽

Novel Coronavirus

Health equity is a very important part of social equity. The outbreak of the novel coronavirus pneumonia (COVID-19) in a short period of time exposed the problems existing in the allocation of medical resources and the response to major public health emergencies in China. By using Kernel density estimation and Data envelopment analysis (DEA), it is found that the allocation and imbalance of medical resources in China are greatly different among regions, and the polarization phenomenon is obvious. As an important part of the information technology system, blockchain technology is characterized by decentralization and non-tampering. It can realize sharing of medical resources through a mechanism of resource storage, circulation, supervision, and protection. The construction of a medical resource sharing mechanism under the condition of blockchain technology will greatly improve the degree of medical resource sharing, will narrow the differences in resource allocation between regions, and can effectively respond to an outbreak of major public health emergencies.

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COVID-19–Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study (Preprint)

10.2196/preprints.27339 ◽

2021 ◽

Author(s):

Peishan Ning ◽

Peixia Cheng ◽

Jie Li ◽

Ming Zheng ◽

David C Schwebel ◽

...

Keyword(s):

Public Health ◽

Social Media ◽

Negative Impact ◽

Popular Science ◽

The Novel ◽

Public Health Emergencies ◽

Medical Supplies ◽

Health Authorities ◽

Media Reports ◽

Novel Coronavirus

BACKGROUND Given the permeation of social media throughout society, rumors spread faster than ever before, which significantly complicates government responses to public health emergencies such as the COVID-19 pandemic. OBJECTIVE We aimed to examine the characteristics and propagation of rumors during the early months of the COVID-19 pandemic in China and evaluated the effectiveness of health authorities’ release of correction announcements. METHODS We retrieved rumors widely circulating on social media in China during the early stages of the COVID-19 pandemic and assessed the effectiveness of official government clarifications and popular science articles refuting those rumors. RESULTS We show that the number of rumors related to the COVID-19 pandemic fluctuated widely in China between December 1, 2019 and April 15, 2020. Rumors mainly occurred in 3 provinces: Hubei, Zhejiang, and Guangxi. Personal social media accounts constituted the major source of media reports of the 4 most widely distributed rumors (the novel coronavirus can be prevented with “Shuanghuanglian”: 7648/10,664, 71.7%; the novel coronavirus is the SARS coronavirus: 14,696/15,902, 92.4%; medical supplies intended for assisting Hubei were detained by the local government: 3911/3943, 99.2%; asymptomatically infected persons were regarded as diagnosed COVID-19 patients with symptoms in official counts: 322/323, 99.7%). The number of rumors circulating was positively associated with the severity of the COVID-19 epidemic (ρ=0.88, 95% CI 0.81-0.93). The release of correction articles was associated with a substantial decrease in the proportion of rumor reports compared to accurate reports. The proportions of negative sentiments appearing among comments by citizens in response to media articles disseminating rumors and disseminating correct information differ insignificantly (both correct reports: χ12=0.315, P=.58; both rumors: χ12=0.025, P=.88; first rumor and last correct report: χ12=1.287, P=.26; first correct report and last rumor: χ12=0.033, P=.86). CONCLUSIONS Our results highlight the importance and urgency of monitoring and correcting false or misleading reports on websites and personal social media accounts. The circulation of rumors can influence public health, and government bodies should establish guidelines to monitor and mitigate the negative impact of such rumors.

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A PRACTICAL STUDY ON LOGISTICS RESPONSE TO PUBLIC HEALTH EMERGENCIES IN COLLEGES AND UNIVERSITIES FROM THE PERSPECTIVE OF FINE MANAGEMENT—TAKING LOGISTICS SUPPORT OFFICE OF CHINA UNIVERSITY OF GEOSCIENCES (WUHAN) AS AN EXAMPLE

10.12783/dtem/mebit2021/35610 ◽

2021 ◽

Author(s):

LI XU ◽

LUN LI

Keyword(s):

Public Health ◽

Higher Education ◽

Strong Support ◽

Colleges And Universities ◽

Healthy Development ◽

Public Health Emergencies ◽

The World ◽

The Future ◽

The Face ◽

Novel Coronavirus

The healthy development of higher education cannot be separated from the strong support and guarantee of university logistics. In the face of public health emergencies, if we want to further strengthen the function of logistics support and support in colleges and universities, and enhance the awareness and ability of coping, we should first start with delicacy management. After the baptism of Novel Coronavirus (2019-nCoV) epidemic, it is necessary for the logistics of universities to sum up their experience carefully, make good plans ahead of time, and make full response and preparation for all kinds of public health emergencies that may occur in the future. And this provides Chinese wisdom and Chinese plan for colleges and universities around the world to deal with public health emergencies.

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Readiness and early response to COVID-19: achievements, challenges and lessons learnt in Ethiopia

BMJ Global Health ◽

10.1136/bmjgh-2021-005581 ◽

2021 ◽

Vol 6 (6) ◽

pp. e005581

Author(s):

Betty Lanyero ◽

Zewdu Assefa Edea ◽

Emmanuel Onuche Musa ◽

Shambel Habebe Watare ◽

Mayur Lalji Mandalia ◽

...

Keyword(s):

Public Health ◽

International Health ◽

Early Response ◽

Public Health Emergency ◽

Coordination Mechanism ◽

Incident Management ◽

Lessons Learnt ◽

Short Period ◽

Novel Coronavirus ◽

High Level

Declaration of the novel coronavirus disease as a Public Health Emergency of International Concern necessitated countries to get ready to respond. Here, we describe key achievements, challenges and lessons learnt during the readiness and early response to COVID-19 in Ethiopia. Readiness activities commenced as early as January 2020 with the activation of a national Public Health Emergency Operations Centre and COVID-19 Incident Management System (IMS) by the Ethiopian Public Health Institute. The COVID-19 IMS conducted rapid risk assessments, developed scenario-based contingency plans, national COVID-19 guidelines and facilitated the enhancement of early warning and monitoring mechanisms. Early activation of a coordination mechanism and strengthening of detection and response capacities contributed to getting the country ready on time and mounting an effective early response. High-level political leadership and commitment led to focused efforts in coordination of response interventions. Health screening, mandatory 14-day quarantine and testing established for all international travellers arriving into the country slowed down the influx of travellers. The International Health Regulations (IHR) capacities in the country served as a good foundation for timely readiness and response. Leveraging on existing IHR capacities in the country built prior to COVID-19 helped slow down the importation and mitigated uncontrolled spread of the disease in the country. Challenges experienced included late operationalisation of a multisectoral coordination platform, shortage of personal protective equipment resulting from global disruption of importation and the huge influx of over 10 000 returnees from different COVID-19-affected countries over a short period of time with resultant constrain on response resources.

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Surviving the stigma: lessons learnt for the prevention of COVID-19 stigma and its mental health impact

Mental Health and Social Inclusion ◽

10.1108/mhsi-05-2020-0030 ◽

2020 ◽

Vol 24 (3) ◽

pp. 145-149

Author(s):

Shweta Singh ◽

Saniya Bhutani ◽

Huma Fatima

Keyword(s):

Public Health ◽

Mental Health ◽

Psychological Intervention ◽

Health Impact ◽

Communicable Diseases ◽

Health Consequences ◽

Content Type ◽

Public Health Emergencies ◽

Novel Coronavirus ◽

Prevention Methods

Purpose The spread of novel Coronavirus 2019 (COVID-19) has affected more than four million lives worldwide. Unfortunately, incidents of stigmatisation associated with COVID-19 are being reported worldwide. Studies conducted during and after public health emergencies because of communicable diseases have highlighted the development of stigmatisation and associated mental health consequences. This study aims to explore the past pandemics and current incidents of stigmatisation to understand COVID-19 stigma, its mental health impact and how they can be prevented by using primary and secondary prevention methods. Design/methodology/approach Researches were shortlisted using keywords such as “infectious diseases and mental health”, “COVID 19 stigma and mental health”, “Contagious disease stigma” and “mental health of survivors”. Findings Studies conducted during and after public health emergencies because of communicable diseases have highlighted the development of stigmatisation and associated mental health consequences. The emphasis is on universal prevention of stigmatization. Early psychological intervention may reduce the long-term psychological effects of the illness and reduction of stigma may contribute to treatment. Originality/value This paper predicts the chances of stigmatisation that COVID-19 survivors may face and possible strategies to prevent it.

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