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Widespread testing is key to controlling the spread of COVID-19. But should we worry about self-selection bias in the testing? The recent literature on willful ignorance says we should – people often avoid health information. In the context of COVID-19, such willful ignorance can bias testing data. Furthermore, willful ignorance often arises when selfish wants conflict with social benefits, which might be particularly likely for potential ‘super-spreaders’ – people with many social interactions – given people who test positive are urged to self-isolate for two weeks. We design a survey in which participants (n = 897) choose whether to take a costless COVID-19 test. We find that 70% would take a test. Surprisingly, the people most likely to widely spread COVID-19 – the extraverts, others who meet more people in their daily lives and younger people – are the most willing to take a test. People's ability to financially or emotionally sustain self-isolation does not matter to their decision. We conclude that people are selfless in their decision to test for COVID-19. Our results are encouraging – they imply that COVOD-19 testing may succeed in targeting those who generate the largest social benefits from self-isolation if infected, which strengthens the case for widespread testing.
While predicting the course of an epidemic is difficult, predicting the course of a pandemic from an emerging virus is even more so. The validity of most predictive models relies on numerous parameters, involving biological and social characteristics often unknown or highly uncertain. Data of the COVID-19 epidemics in China, Japan, South Korea and Italy were used to build up deterministic models without strong assumptions. These models were then applied to other countries to identify the closest scenarios in order to foresee their coming behaviour. The models enabled to predict situations that were confirmed little by little, proving that these tools can be efficient and useful for decision making in a quickly evolving operational context.
COVID-19 is a respiratory disease that can spread from one person to person. This virus is a novel coronavirus that was first identified during an investigation into an outbreak in Wuhan, China. Iran’s novel coronavirus cases reached 17,361 on 17 March, while death toll reached approximately 1,135. Its first death was officially announced on 20 February 2020 in Qom. The 2019 coronavirus pandemic has affected educational systems around the world, Also in Iran, and led to the closure of face to face courses in schools and universities. Therefore, virtual education can be seen as a turning point in education of these days in Iran.
The coronavirus disease 2019 (COVID-19) pandemic has already exerted an enormous impact on the entire world. Everything is overwhelmed in the face of a rapid escalation of cases. The countries that have already reported the peak of transmission are easing their preventive measures yet fearing a second wave of infection. If the virus causes that next wave, are we sufficiently prepared to deal with it? I argue that the stakeholders concerned should simultaneously handle the ongoing pandemic while making effective preparations for its second wave. To relax the preventive measures, countries must thoroughly revisit their situations based on scientific evidence.
As the systems that people depend on are increasingly strained by the coronavirus disease–2019 (COVID-19) outbreak, public health impacts are manifesting in different ways beyond morbidity and mortality for elderly populations. Loneliness is already a chief public health concern that is being made worse by COVID-19. Agencies should recognize the prevalence of loneliness among elderly populations and the impacts that their interventions have on loneliness. This letter describes several ways that loneliness can be addressed to build resilience for elderly populations as part of the public health response to COVID-19.
Time is of the essence to continue the pandemic disaster cycle with a comprehensive post-COVID-19 health care delivery system RECOVERY analysis, plan and operation at the local, regional and state level.The second wave of COVID-19 pandemic response are not the ripples of acute COVID-19 patient clusters that will persist until a vaccine strategy is designed and implemented to effect herd immunity. The COVID-19 second wave are the patients that have had their primary and specialty care delayed. This exponential wave of patients requires prompt health care delivery system planning and response.
On December 31, 2019, the Chinese government officially announced that the country had a single pneumonia case with an unknown cause. In the weeks after, South Korea had 24 confirmed cases by February 8, and the number has increased steadily since then. The highly contagious virus known as coronavirus disease 2019 (COVID-19) infected Case No. 31 in Daegu; she was the first patient related to Sincheonji Church. Later, the number of cases involved with Sincheonji skyrocketed. On March 6, 2020, the number of confirmed cases was 6284, with 42 dead. This study, through collecting epidemiological data about various COVID-19 infection cases, discovered that getting together in large groups leads to mass infection, and that paying close attention to personal hygiene by means of wearing masks, sanitary gloves, etc., can prevent the spread of COVID-19. Additional epidemiological data and related studies on COVID-19 infections in South Korea are likely to support or slightly modify this conclusion. However, this study is significant in that it emphasizes the precautionary principle in preventing and managing infectious diseases, and has a suggestion for public health policies, which are currently in high demand.
In December 2019, a new type of coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared in Wuhan, China. Serious outbreaks of coronavirus disease 2019 (COVID-19), related to the SARS-CoV-2 virus, have occurred throughout China and the world. Therefore, we intend to shed light on its potential clinical and epidemiological characteristics.
Methods:
In this retrospective study, we included 50 confirmed fatal cases of SARS-CoV-2 reported on Chinese official media networks from January 16, 2020, to February 5, 2020. All the cases were confirmed by local qualified medical and health institutions. Specific information has been released through official channels. According to the contents of the reports, we recorded in detail the gender, age, first symptom date, death date, primary symptoms, chronic fundamental diseases, and other data of the patients, and carried out analyses and discussion.
Results:
In total, 50 fatal cases were reported: median age was 70 y old, and males were 2.33 times more likely to die than females. The median number of days from the first symptom to death was 13, and that length of time tended to be shorter among people aged 65 and older compared with those younger than 65 (12 days vs 17 days; P = 0.046). Therefore, the older patients had fewer number of days from the first symptom to death (r = -0.40; P = 0.012).
Conclusions:
In our study, we found that most of the deaths were elderly men with chronic fundamental diseases, and their COVID-19 progression to death time was shorter. At the same time, we demonstrated that older men are more likely to become infected with COVID-19, and the risk of death is positively correlated with age.
School closures are an important strategy to mitigate the impacts of a pandemic. But an optimal approach to transitioning from in-person to distance learning approaches is lacking. We analyzed a convenience sample of public K-12 schools in the early weeks of the COVID-19 pandemic in the United States. This initial snapshot provides some insights to inform future research into the variation of strategies across school districts, and would benefit from more rigorous methods to determine true correlations between demographic and geographic factors. Additionally, many of these strategies have evolved in response to ongoing and prolonged public health social distancing measures implemented after this analysis was conducted.
Legislatures are complex institutions that serve many purposes. While their overall roles vary in different political systems, they typically serve multiple functions, including representation, law making, scrutiny of government, public symbolism, and others. These inevitably overlap and sometimes collide; similarly, individual legislators must balance party, constituency, and personal factors in their decision making. Now, in a time of sudden and unexpected disruption amid the COVID-19 pandemic, the Parliament of Canada has been forced to rethink its complex activities under urgent and unexpected new conditions.
Emergencies can threaten human rights by disrupting societies, increasing vulnerabilities, and instigating exceptional measures from governments and other actors. As independent institutions mandated to protect and promote the human rights embedded in Canada's federal, provincial and territorial legislation, Canada's human rights commissions (HRCs) have mobilized to advocate for human rights during the COVID-19 public health emergency.
In the COVID-19 pandemic, whistleblowers have become the essential watchdogs disrupting suppression and control of information. Many governments have intentionally not disclosed information or failed to do so in a timely manner, misled the public or even promoted false beliefs. Fierce public interest defenders are pushing back against this censorship. Dr Fen and Dr Wenliang were the first whistleblowers in China to report that a new pandemic was possibly underway, and ever since, numerous other whistleblowers around the world have been reporting on the spread of the virus, the lack of medical equipment and other information of public interest. This paper maps the relevant whistleblowing cases in China, the USA and Europe and shows that many whistleblowers are initially censored and face disciplinary measures or even dismissals. At the same time, whistleblowing during the COVID-19 pandemic has drawn public attention to the shortcomings of institutional reporting systems and a wider appreciation of whistleblowers as uniquely placed to expose risk at early stages. Ultimately, whistleblowing as a means of transparency is not only becoming ever less controversial, but during COVID-19 it has become the “remedy” to censorship.
Coronavirus disease 2019 (COVID-19) patients were classified into four clinical stages (uncomplicated illness, mild, severe and critical pneumonia) depending on disease severity. We aim to investigate the corresponding clinical, radiological and laboratory characteristics between different clinical stages. A retrospective, single-centre study of 101 confirmed patients with COVID-19 at Renmin Hospital of Wuhan University from 2 January to 28 January 2020 was enrolled; follow-up endpoint was on 8 February 2020. Clinical data were collected and compared during the course of illness. The median age of the 101 patients was 51.0 years and 33.6% were medical staff. Fever (68%), cough (50%) and fatigue (23%) are the most common symptoms. About 26% patients underwent the mechanical ventilation and 98% patients were treated with antibiotics. Thirty-seven per cent patients were cured and 11 died. On admission, the number of patients with uncomplicated illness, mild, severe and critical pneumonia were 2 [2%], 86 [85%], 11 [11%] and 2 [2%]. Forty-four of the 86 mild pneumonia progressed to severe illness within 4 days, with nine patients worsened due to critical pneumonia within 4 days. Two of the 11 severe patients improved to mild condition while three others deteriorated. Significant differences were observed among groups of different clinical stages in numbers of influenced pulmonary segments (6 vs. 12 vs. 17, P < 0.001). A significantly upward trend was witnessed in ground-glass opacities overlapped with striped shadows (33% vs. 42% vs. 55% vs. 80%, P < 0.001), while pure ground-glass opacities gradually decreased as disease progressed (45% vs. 35% vs. 24% vs. 13%, P < 0.001) within 12 days. Lymphocytes, prealbumin and albumin showed a downtrend as disease progressed from mild to severe or critical condition, an uptrend was found in white blood cells, C-reactive protein, neutrophils and lactate dehydrogenase. The proportions of serum amyloid A > 300 mg/l in mild, severe and critical conditions were 18%, 46% and 71%, respectively.