The disproportionate case-fatality ratio of COVID-19 between countries with the highest vaccination rates and the rest of the world

Scenario-based assessment of emergency management of urban infectious disease outbreaks

Infectious diseases pose a severe threat to human health and are accompanied by significant economic losses. Studies of urban outbreaks of infectious diseases are diverse. However, previous studies have neglected the identification of critical events and the evaluation of scenario-based modeling of urban infectious disease outbreak emergency management mechanisms. In this paper, we aim to conduct an empirical analysis and scenario extrapolation using a questionnaire survey of 18 experts, based on the CIA-ISM method and scenario theory, to identify the key factors influencing urban infectious disease outbreaks. Subsequently, we evaluate the effectiveness of urban infectious disease outbreak emergency management mechanisms. Finally, we compare and verify the actual situation of COVID-19 in China, drawing the following conclusions and recommendations. (1) The scenario-based urban infectious disease emergency management model can effectively replicate the development of urban infectious diseases. (2) The establishment of an emergency command center and the isolation and observation of individuals exposed to infectious diseases are crucial factors in the emergency management of urban outbreaks of infectious disease.

ution of the data and methods in real-world COVID-19 vaccine effectiveness studies on mortality: a oping eview protocol

BACKGROUND

Early evidence on COVID-19 vaccine efficacy came from randomised trials. Many important questions subsequently about vaccine effectiveness (VE) have been addressed using real-world studies (RWS) and have informed most vaccination policies globally. As the questions about VE have evolved during the pandemic so have data, study design, and analytical choices. This scoping review aims to characterise this evolution and provide insights for future pandemic planning-specifically, what kinds of questions are asked at different stages of a pandemic, and what data infrastructure and methods are used?

METHODS AND ANALYSIS

We will identify relevant studies in the Johns Hopkins Bloomberg School of Public Health VIEW-hub database, which curates both published and preprint VE RWS identified from PubMed, Embase, Scopus, Web of Science, the WHO COVID Database, MMWR, Eurosurveillance, medRxiv, bioRxiv, SSRN, Europe PMC, Research Square, Knowledge Hub, and Google. We will include RWS of COVID-19 VE that reported COVID-19-specific or all-cause mortality (coded as 'death' in the 'effectiveness studies' data set).Information on study characteristics; study context; data sources; design and analytic methods that address confounding will be extracted by single reviewer and checked for accuracy and discussed in a small group setting by methodological and analytic experts. A timeline mapping approach will be used to capture the evolution of this body of literature.By describing the evolution of RWS of VE through the COVID-19 pandemic, we will help identify options for VE studies and inform policy makers on the minimal data and analytic infrastructure needed to support rapid RWS of VE in future pandemics and of healthcare strategies more broadly.

ETHICS AND DISSEMINATION

As data is in the public domain, ethical approval is not required. Findings of this study will be disseminated through peer-reviewed publications, conference presentations, and working-papers to policy makers.

REGISTRATION

https://doi.org/10.17605/OSF.IO/ZHDKR.

Prevalence of post-traumatic stress disorder risk post-COVID-19 in 12 countries in Latin America: a cross-sectional survey

Introduction

Latin America was the region most affected by COVID-19 in the second quarter of 2020, and consequently, the impact on mental health requires evaluation. The aim of this study was to assess the risk of post-traumatic stress disorder (PTSD) caused by bereavement due to COVID-19 in 12 countries in Latin America.

Methods

The current study was an analytical cross-sectional study. Validated tests were applied for PTSD, depression, anxiety, and stress (DASS-21), questions about the respondent's condition or their environment, and demographic questions, as well as the length of the mourning period of suffering.

Results

The outcomes demonstrated that the PTSD risk increased for women (p < 0.001), when a friend or acquaintance had COVID-19 (p = 0.002), when a close relative died from COVID-19 (p = 0.010), having severe depression (p <0.001), severe anxiety (p  <0.001), severe stress (p  <0.001), residing in Chile (p  <0.001), Paraguay (p  <0.001), Bolivia (p  <0.001), Costa Rica (p  <0.001) or El Salvador (p  = 0.005). On the other hand, there was less risk of PTSD at an older age (p  <0.001) or if respondents had a sentimental partner (p  = 0.025). In the case of severe PTSD, there was a greater gender risk for women (p  <0.001), a close relative dying from COVID-19 (p  = 0.017), having severe depression (p  <0.001), severe anxiety (p  <0.001), severe stress (p  <0.001), residing in Chile (p  <0.001), Paraguay (p  <0.001), Bolivia (p  <0.001) and Costa Rica (p  = 0.002). It was also observed that there was less risk of severe PTSD at an older age demographic (p  <0.001).

Discussion

It can be concluded that the percentages of PTSD are high in its clinical presentation as severe, especially among Latin American women.