Objectives: The study aims to understand the impact of containment policy and mobility on COVID-19 cases in Chile, Singapore, South Korea and Israel. To provide experience in epidemic prevention and control.

Methods: Structural equation modeling (SEM) of containment policies, mobility, and COVID-19 cases were used to test and analyze the proposed hypotheses.

Results: Chile, Israel and Singapore adopted containment strategies, focusing on closure measures. South Korea adopted a mitigation strategy with fewer closure measures, focusing on vaccination and severe case management. There was a significant negative relationship among containment policies, mobility, and COVID-19 cases.

Conclusion: To control the COVID-19 and slow down the increase of COVID-19 cases, countries can increase the stringency of containment policies when COVID-19 epidemic is more severe. Thus, countries can take measures from the following three aspects: strengthen the risk monitoring, and keep abreast of the COVID-19 risk; adjust closure measures in time and reduce mobility; and strengthen public education on COVID-19 prevention to motivate citizen to consciously adhere to preventive measures.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402700PMC
http://dx.doi.org/10.7717/peerj.15769DOI Listing

Publication Analysis

Top Keywords

mobility covid-19
16
covid-19 cases
16
south korea
12
containment policies
12
closure measures
12
covid-19
9
impact containment
8
containment policy
8
policy mobility
8
structural equation
8

Similar Publications

Accurate forecasting of contagious illnesses has become increasingly important to public health policymaking, and better prediction could prevent the loss of millions of lives. To better prepare for future pandemics, it is essential to improve forecasting methods and capabilities. In this work, we propose a new infectious disease forecasting model based on physics-informed neural networks (PINNs), an emerging area of scientific machine learning.

View Article and Find Full Text PDF

Background: Carbapenem-resistant Gram-negative bacteria and methicillin-resistant Staphylococcus aureus (MRSA) are among WHO's priority pathogens with antimicrobial resistance (AMR). Studies suggest potential impacts of the COVID-19-pandemic on AMR. We described changes in AMR incidence and epidemiology in Germany during the COVID-19-pandemic.

View Article and Find Full Text PDF

Background And Purpose: Approximately, 30% to 60% of older adults experience functional decline following hospitalization, which has implications for their ability to meet social needs after discharge. Exploring the unmet social needs of older adults following discharge is warranted to rethink the elements of hospital discharge in low-resource countries. This study explored the unmet social needs of older adults with mobility limitations following discharge from an inpatient rehabilitation unit in a state hospital in Northern Nigeria.

View Article and Find Full Text PDF

Introduction: Osteoarthritis (OA) presents significant challenges, imposing limitations on patients' daily activities. Factors such as restricted mobility, sedentary lifestyles, social isolation, and weight gain can exacerbate the difficulties faced by these individuals. Our study aimed to identify the needs and personal challenges faced by individuals with OA, and the impact of the COVID-19 pandemic.

View Article and Find Full Text PDF

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted public transportation systems worldwide. In this study, we evaluated the rate of COVID-19 positivity and its associated factors among users of public transportation in socioeconomically disadvantaged regions of Brazil during the pre-vaccination phase of the pandemic.

Methodology: This ecological study, conducted in Aracaju city in Northeast Brazil, is a component of the TestAju Program.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!