Abstract:Coronavirus disease 2019 (COVID-19) is a global pandemic. Non-pharmacological interventions, such as lockdown and mass testing, remain as the mainstay of control measures for the outbreak. We aim to evaluate the effectiveness of mass testing, lockdown, or a combination of both to control COVID-19 pandemic. A systematic search on 11 major databases was conducted on June 8, 2020. This review is registered in Prospero (CRD42020190546). We included primary studies written in English which investigate mass screenin… Show more
“…First, the local prevalence and outcome of COVID-19 are influenced by a multiplicity of factors, and it was not possible to account for all of these. For example, federal and local governmental measures to minimize the spread of COVID-19 can significantly affect prevalence (Johanna et al, 2020), but as these measures are difficult to operationalize and quantify, they could not be analyzed in this study. Second, a study of this kind can only identify potential correlations; it is not possible to make accurate inferences regarding causal mechanisms, and one must be cautious to avoid the ecological fallacy, in which findings at a population level are mistakenly applied to individuals.…”
Section: Discussionmentioning
confidence: 99%
“…Such an analysis would lack validity unless corrected for several potential confounders. These include demographic factors such as age, gender, and socioeconomic status (Shi et al, 2021), lifestyle factors such as obesity and nicotine use (Hou et al, 2021; Rajkumar, 2021), the presence of comorbid medical conditions (Dorjee et al, 2020; Shi et al, 2021; Thakur et al, 2021), the extent and duration of protective measures, such as screening and lockdown, imposed by local and federal governments (Johanna et al, 2020), and even climatic factors such as temperature and humidity (Chen et al, 2021; Sajadi et al, 2020). Without correction for these factors, any observed association between ADHD and COVID-19-related indices may represent an incidental or chance finding.…”
Objective: To examine the relationship between nation-level prevalence of ADHD and COVID-19 prevalence and mortality indices. Method: Associations between nation-wise estimated prevalence, crude mortality rates and case-fatality ratios for COVID-19 and estimated prevalence rates for ADHD were examined, controlling for medical conditions known to be associated with COVID-19 outcome, as well as demographic, climate-related, and economic variables. Results: Prevalence of ADHD was positively correlated with COVID-19 prevalence and crude mortality rates on bivariate analyses, though the strength of this association was low. On multivariate regression, prevalence of ADHD was negatively associated with COVID-19 prevalence and crude mortality rates, though only the former finding was statistically significant. Conclusion: The association between ADHD and COVID-19 prevalence and mortality at a national level is inconsistent, modest, and may be largely due to confounding factors such as age, lifestyle factors, and medical comorbidities.
“…First, the local prevalence and outcome of COVID-19 are influenced by a multiplicity of factors, and it was not possible to account for all of these. For example, federal and local governmental measures to minimize the spread of COVID-19 can significantly affect prevalence (Johanna et al, 2020), but as these measures are difficult to operationalize and quantify, they could not be analyzed in this study. Second, a study of this kind can only identify potential correlations; it is not possible to make accurate inferences regarding causal mechanisms, and one must be cautious to avoid the ecological fallacy, in which findings at a population level are mistakenly applied to individuals.…”
Section: Discussionmentioning
confidence: 99%
“…Such an analysis would lack validity unless corrected for several potential confounders. These include demographic factors such as age, gender, and socioeconomic status (Shi et al, 2021), lifestyle factors such as obesity and nicotine use (Hou et al, 2021; Rajkumar, 2021), the presence of comorbid medical conditions (Dorjee et al, 2020; Shi et al, 2021; Thakur et al, 2021), the extent and duration of protective measures, such as screening and lockdown, imposed by local and federal governments (Johanna et al, 2020), and even climatic factors such as temperature and humidity (Chen et al, 2021; Sajadi et al, 2020). Without correction for these factors, any observed association between ADHD and COVID-19-related indices may represent an incidental or chance finding.…”
Objective: To examine the relationship between nation-level prevalence of ADHD and COVID-19 prevalence and mortality indices. Method: Associations between nation-wise estimated prevalence, crude mortality rates and case-fatality ratios for COVID-19 and estimated prevalence rates for ADHD were examined, controlling for medical conditions known to be associated with COVID-19 outcome, as well as demographic, climate-related, and economic variables. Results: Prevalence of ADHD was positively correlated with COVID-19 prevalence and crude mortality rates on bivariate analyses, though the strength of this association was low. On multivariate regression, prevalence of ADHD was negatively associated with COVID-19 prevalence and crude mortality rates, though only the former finding was statistically significant. Conclusion: The association between ADHD and COVID-19 prevalence and mortality at a national level is inconsistent, modest, and may be largely due to confounding factors such as age, lifestyle factors, and medical comorbidities.
“…Econometric studies that systematically examine the effects of the measures using up to date longitudinal data are still pending. There are indications of the effectiveness of interventions in the first phase of the pandemic (e.g., Brauner et al, 2021; Chu et al, 2020; Johanna et al, 2020; for Germany Dehning et al, 2020) but there are also controversial reports (Herby et al, 2022). Especially, the type of the lockdown or of other preventive methods is expected to play a role (Brauner et al, 2021).…”
Section: New Social Norms In the Coronavirus Pandemicmentioning
In crisis situations, people have to change their behavior. A collective learning process begins and new patterns of order emerge. Externalities of behavior lead to the emergence of new social norms. But are the social norms also followed? A closer examination must take into account the different character of social norms. Following the theory of Ullmann-Margalit, coordination norms or conventions have different consequences for norm-oriented behavior than cooperation norms. This distinction is also important for lawmaking. There is no âfree-rider problemâ with coordination norms, but there is one with cooperation norms. This paper examines the question of the characteristics of new norms which emerged during the first wave of the COVID-19 crisis, such as the requirement for distance, the obligation to wear masks and cooperation in the digital tracing of infection chains. This study is based on how Germany has coped with the first wave of the pandemic in spring 2020. However, the analysis leads to conditions which in general may explain the degree of compliance with different types of new social norms.
“…Since December 2019, coronavirus disease 2019 (COVID-19) has brought about disastrous impacts globally [ 1 ]. Several public health measures to deter the pandemic, including lockdowns, mass screening and contact tracing, have been adopted since early 2020 [ 2 ]. The lockdown and social distancing measures substantially affected the lives of both adults and children.…”
The influence of public health measures against COVID-19 in Japan on child mental health by household type is unknown. This study aimed to investigate whether COVID-19 and the declaration of a state of emergency in Japan affected childrenâs mental health between single-parent and two-parent households disproportionately. A large cross-sectional online survey was conducted from August to September 2020. The study included 3365 parents with children aged 0â14 years old who reported their childrenâs mental status during the declared state of emergency. Emotional instability was reported dichotomously by parents. As the primary result, the probability of emotional instability was higher in single-parent households compared with that in two-parent households after adjustments for potential covariates; the adjusted prevalence ratio (95% CI) was 1.26 (1.07â1.49). Our findings suggest a disproportionate impact on childrenâs mental health due to the pandemic.
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