&lt;p&gt;Effect of Social Distancing on COVID-19 Incidence and Mortality in Iran Since February 20 to May 13, 2020: An Interrupted Time Series Analysis&lt;/p&gt;

Alimohamadi, Yousef; Holakouie-Naieni, Kourosh; Sepandi, Mojtaba; Taghdir, Maryam

doi:10.2147/rmhp.s265079

Cited by 28 publications

(21 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Data were modelled as a single-group interrupted time series analysis without a comparator for both scenarios using the itsa syntax in Stata®. The level of change and the trajectory of change following the intervention obtained via ordinary least-squares [ 14 ] regression estimates were evaluated yielding β -coefficients and Newey-West standard errors. The Cumby-Huizinga test for serial autocorrelation using actest , lags in Stata [ 15 , 16 ] was employed as a postestimation command following the OLS regression.…”

Section: Methodsmentioning

confidence: 99%

The Impact of China’s Lockdown Policy on the Incidence of COVID-19: An Interrupted Time Series Analysis

Molefi

Tlhakanelo

Phologolo

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

Background. Policy changes are often necessary to contain the detrimental impact of epidemics such as those brought about by coronavirus disease (COVID-19). In the earlier phases of the emergence of COVID-19, China was the first to impose strict restrictions on movement (lockdown) on January 23rd, 2020. A strategy whose effectiveness in curtailing COVID-19 was yet to be determined. We, therefore, sought to study the impact of the lockdown in reducing the incidence of COVID-19. Methods. Daily cases of COVID-19 that occurred in China which were registered between January 12th and March 30th, 2020, were extracted from the Johns Hopkins CSSE team COVID-19 ArcGIS® dashboards. Daily cases reported were used as data points in the series. Two interrupted series models were run: one with an interruption point of 23 January 2020 (model 1) and the other with a 14-day deferred interruption point of 6th February (model 2). For both models, the magnitude of change (before and after) and linear trend analyses were measured, and β-coefficients reported with 95% confidence interval (CI) for the precision. Results. Seventy-eight data points were used in the analysis. There was an 11% versus a 163% increase in daily cases in models 1 and 2, respectively, in the preintervention periods ( p ≤ 0.001 ). Comparing the period immediately following the intervention points to the counterfactual, there was a daily increase of 2,746% ( p < 0.001 ) versus a decline of 207% ( p = 0.802 ) in model 2. However, in both scenarios, there was a statistically significant drop in the daily cases predicted for this data and beyond when comparing the preintervention periods and postintervention periods ( p < 0.001 ). Conclusion. There was a significant decrease the COVID-19 daily cases reported in China following the institution of a lockdown, and therefore, lockdown may be used to curtail the burden of COVID-19.

show abstract

Section: Methodsmentioning

confidence: 99%

The Impact of China’s Lockdown Policy on the Incidence of COVID-19: An Interrupted Time Series Analysis

Molefi

Tlhakanelo

Phologolo

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…[33] Social distancing measures are other important tools to reduce the morbidity and mortality of COVID-19 to some degrees, and it seems to be crucial to control the pandemic, especially in the absence of definitive treatments and vaccines. [34, 35] Suboptimal practices was found among undergraduate medical students of Bangladesh and this was contrary to similar studies [24, 31, 32]…”

Section: Discussionmentioning

confidence: 61%

COVID-19 Pandemic and Prevalence of Self-care Practices among the Future Physicians: A Bangladesh Study

Johora¹,

Abbasy²,

Jeenia³

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: Since December 2019, the novel coronavirus, SARS-CoV-2, has garnered global attention due to its rapid transmission, which has infected more than twenty nine million people worldwide. World is facing enormous stress and anxiety as there is no effective medicine or vaccine to treat or prevent COVID-19 till date. Experts are recommending self-care like social distancing, respiratory etiquette, hand washing, using face mask to prevent corona virus infection. Materials and methods: This descriptive cross-sectional study was designed to assess the prevalence of self-care practice among the undergraduate medical students (4th year) of 14 medical colleges of Bangladesh during COVID-19 pandemic. A structured questionnaire survey linked in the google form was used as study instrument and was distributed among study population through email, messenger, whatsapp and other social media during the month of October 2020. Total 916 students were participated in the study. Results: 79.8% of students reported self-care practice in study period. 44.98% of students went outside once in a week. 90.5%, 70.96% and 52.62% of respondents always used face mask, followed 20 seconds hand washing principle and maintained social distancing. Face masks (97.8%), sanitizers (76.7%) and gloves (71.9%) are most common items purchased as protective mesures. Most of the students (76.9%) follow their hobbies as a coping strategy to overcome phychological stress, while 6% of students took professional help. Conclusion: Suboptimal practice of self-care was found among the undergraduate medical students of Bangladesh.

show abstract

“…WHO has repeatedly called on all sectors of the world to unite and cooperate to ght against this coronavirus pneumonia. The past 12 months of 2020, fully demonstrated the impact of anti-epidemic practices on the development and changes in epidemic situations under different social systems, social backgrounds and different public health concepts [3,7,13,14] .…”

Section: Discussionmentioning

confidence: 99%

Global Pandemic Trends of COVID-19 in 2020

Chen

Cai

Chen

2021

Preprint

View full text Add to dashboard Cite

Background: The novel coronavirus pneumonia (COVID-19) has been global threaten to public health. This paper provides perspective to the decision-making for public health control of the pandemic or the spread of epidemic.Methods: According to the WHO global reported database, we developed and used the number of cumulative cases, and the number of cumulative deaths to calculate and analyze rates of incidence, mortality, and fatality by country, with respect to the 30 highest outbreak (Top 30) countries.Results： As of December 31, 2020, of the global population of 7.585 billion, the cumulative number of reported cases was 81,475,053, and the cumulative number of deaths was 1,798,050. The incidence rate of COVID-19 was 1074.13 per 100,000 population, the mortality rate was 23.70 per 100,000, and the case fatality rate was 2.21%. Among the Top 30 countries, the five countries with the highest number of reported cumulative cases were, in rank, the United States (19,346,790 cases), India (10,266,674), Brazil (7,563,551), Russia (3,159,297) and France (2,556,708), and the five countries with the highest number of cumulative deaths were the United States (335,789 cases), Brazil (192,681), India (148,738), Mexico (123,845) and Italy (73,604). Globally, the countries with the highest incidence rate were, in rank, Andorra, Luxembourg, Montenegro, San Marino, and Czechia; the countries with the highest mortality rate were, in rank, San Marino, Belgium, Slovenia, Italy, and North Macedonia. The highest fatality rate was found in Yemen, Mexico, Montserrat, Isle of Man, and Ecuador, respectively. In China, 96,673 cases of COVID-19 and 4788 deaths were reported in 2020, ranking the 78th and the 43rd, respectively, in the world. The incidence rate and mortality rate were 6.90/105 and 0.34/105, respectively, ranking 207th and 188th in the world. The case fatality rate was 4.95%, ranking 11th in the world.Conclusions： The COVID-19 prevalence is still on the rise, and the turning points of incidence and mortality are not yet forecasted. Personal protection, anti-epidemic measures and efforts from public health personnel, medical professionals, biotechnology R&D personnel, effectiveness of the vaccination programs and the governments, are the important factors to determine the future prevalence of this coronavirus disease.

show abstract

<p>Effect of Social Distancing on COVID-19 Incidence and Mortality in Iran Since February 20 to May 13, 2020: An Interrupted Time Series Analysis</p>

Cited by 28 publications

References 21 publications

The Impact of China’s Lockdown Policy on the Incidence of COVID-19: An Interrupted Time Series Analysis

The Impact of China’s Lockdown Policy on the Incidence of COVID-19: An Interrupted Time Series Analysis

COVID-19 Pandemic and Prevalence of Self-care Practices among the Future Physicians: A Bangladesh Study

Global Pandemic Trends of COVID-19 in 2020

Contact Info

Product

Resources

About