COVID-19 and Two different Stock Markets: An Event Study Analysis

In this study, we examine two different stock markets’ response to the COVID-19 pandemic using event study methodology and a novel linear regression model. We use LSE (UK) as a proxy for the developed countries stock market and DSE (Bangladesh) as a proxy for the developing countries stock market. Using the daily COVID-19 confirmed cases and deaths and stock market returns data from these two countries (UK and Bangladesh) over the period November 01, 2020 to August 07, 2020. Our main research question was, which stock market suffered more during the COVID-19 pandemic, whether developed countries stock market or developing countries stock market. We find that developed countries stock markets (LSE as proxy) responded negatively to the growth in COVID-19 confirmed cases and deaths in COVID-19. We further find that developing countries stock markets (DSE as proxy) did not responded to the growth in COVID-19 confirmed cases and deaths in COVID-19.

Serial population-based serosurveys for COVID-19 in two neighbourhoods of Karachi, Pakistan.

OBJECTIVE: To determine population-based estimates of coronavirus disease 2019 (COVID-19) in a densely populated urban community of Karachi, Pakistan. METHODS: Three cross-sectional surveys were conducted in April, June and August 2020 in low- and high-transmission neighbourhoods. Participants were selected at random to provide blood for Elecsys immunoassay for detection of anti-severe acute respiratory syndrome coronavirus-2 antibodies. A Bayesian regression model was used to estimate seroprevalence after adjusting for the demographic characteristics of each district. RESULTS: In total, 3005 participants from 623 households were enrolled in this study. In Phase 2, adjusted seroprevalence was estimated as 8.7% [95% confidence interval (CI) 5.1-13.1] and 15.1% (95% CI 9.4-21.7) in low- and high-transmission areas, respectively, compared with 0.2% (95% CI 0-0.7) and 0.4% (95% CI 0-1.3) in Phase 1. In Phase 3, it was 12.8% (95% CI 8.3-17.7) and 21.5% (95% CI 15.6-28) in low- and high-transmission areas, respectively. The conditional risk of infection was 0.31 (95% CI 0.16-0.47) and 0.41 (95% CI 0.28-0.52) in low- and high-transmission neighbourhoods, respectively, in Phase 2. Similar trends were observed in Phase 3. Only 5.4% of participants who tested positive for COVID-19 were symptomatic. The infection fatality rate was 1.66%, 0.37% and 0.26% in Phases 1, 2 and 3, respectively. CONCLUSION: Continuing rounds of seroprevalence studies will help to improve understanding of secular trends and the extent of infection during the course of the pandemic.

Why were the UK and USA unprepared for the COVID-19 pandemic? The systemic weaknesses of neoliberalism: a comparison between the UK, USA, Germany, and South Korea

Pandemics historically have killed as many people as the wars that have beset this world, yet the resources committed to pandemic prevention and response are a fraction of the resources we commit to security. This paper examines the COVID-19 pandemic of 2020 by analysing the preparedness and responses of the UK, the USA, Germany, and South Korea. We will evidence that the UK and USA lacked the levels of preparedness that global health reports indicated, and that their responses were diametrically opposite of those of Germany and South Korea. We argue that decades of deregulation and privatization due to neoliberal, free-market economics by the UK and USA led to the Great Recession of 2008. This, in turn, led to economic collapse and austerity (increased neoliberalism), which negatively impacted investment in healthcare in the UK and USA. This resulted in very different levels of preparedness and responses by the four countries under the microscope.

Epidemiological and Clinical Features of SARS-CoV-2: A Retrospective Study from East Karachi, Pakistan.

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to almost every country on the globe, and each country is reporting the symptomatic presentation of their patients to give better insight into the various clinical presentations of SARS-CoV-2. However, the epidemiological literature from Pakistan is scanty. Methods We retrospectively analyzed data from 412 patients who were residents of East Karachi and tested positive for SARS-CoV-2 between February 26 to April 24, 2020. Patients' demographics, symptoms, travel and contact history, and outcomes were recorded. All statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 22 (IBM SPSS Statistics for Windows, IBM Corp, Armonk, NY). Results Most of the patients were male (64.6%), the majority (43.3%) belonging to the 21- to 40-year age group. Most of the patients (65.5%) were residents of Gulshan Iqbal. A total of 15.8% of the patients were admitted to the hospital, and 3.9% of patients expired. The three most common presenting symptoms were fever (74.8%), cough (60.4%), and flu (35.5%). The majority of patients (89.3%) gave a history of contact with SARS-CoV-2 patients. Conclusion The number of SARS-CoV-2 cases is rapidly increasing in Karachi, Pakistan. There is a need to educate the population about the most common sign and symptoms of the virus so that individuals can identify these symptoms and get themselves tested. The concerned authorities should devise an adequate and effective plan to flatten the infectivity curve.