The Role of Social Media in the Advent of COVID-19 Pandemic: Crisis Management, Mental Health Challenges and Implications

Abbas, Jaffar; Wang, Dake; Su, Zhaohui; Ziapour, Arash

doi:10.2147/rmhp.s284313

Cited by 274 publications

(198 citation statements)

References 128 publications

(142 reference statements)

Supporting

Mentioning

160

Contrasting

Unclassified

Order By: Relevance

“…In the present study, only 4.4% of people reported receiving information about covid-19 from scienti c papers, which shows that pre-hospital emergency personnel does not follow up scienti c papers well in this study and learn more through cyberspace. In the study of Jaffar et al [34] and Zare [35], cyberspaces were the most important source and reference for receiving information that is closely related to the results of the present study.…”

Section: Discussionsupporting

confidence: 83%

COVID-19 Preventive Behaviors in Pre-hospital Emergency Personnel: Application of Protection Motivation Theory

Jeihooni

Esmaeilifar

Badehian

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Pre-hospital emergency personnel plays a critical role in providing communities with essential medical care during the corona pandemic. Emergency medical services (EMS) are at the forefront of the health care system, and they are the first treatment group associated with COVID-19 patients to transfer suspected and known COVID-19 patients to medical centers. This study aims to investigate the factors affecting COVID-19 preventive behaviors in pre-hospital emergency personnel in Fars province, Iran based on protection motivation theory.Methods: This cross-sectional, web-based survey was conducted on 650 pre-hospital emergency personnel in Fars province in 2020. Data were collected by a questionnaire consisting of demographic information, protection motivation theory, and COVID-19 preventive behaviors.Results: 650 employees of Fars pre-hospital emergency and emergency bases participated in the study. The average age of participants in the study 45.14±10.37 years. There was a positive and significant correlation between preventive behaviors and constructs of the PMT model, including perceived susceptibility, severity, response efficacy, self-efficacy, response cost, and protection motivation. The response cost and protection motivation (behavioral intention) had the lowest and highest percentage of the mean from the maximum obtainable score among structures of the model, respectively. Perceived vulnerability, perceived severity, self-efficacy, and protection motivation (behavioral intention) are the strongest predictor of behavior. The variables predicted 61.3% of the variance of coronavirus preventive behaviors.Conclusion: The results of this study confirm the role of protection motivation theory in adopting preventive behavior of pre-hospital emergency personnel, it is suggested that interventional training be held with this theory, and facilitating protective behaviors as a principle in education should be considered.

show abstract

Section: Discussionsupporting

confidence: 83%

COVID-19 Preventive Behaviors in Pre-hospital Emergency Personnel: Application of Protection Motivation Theory

Jeihooni

Esmaeilifar

Badehian

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Meta-analyses report pooled prevalence of 8.4 and 12% for cardiovascular disorders, and 8.0 to 9.7% for diabetes [ 23 , 33 ]. Assessing the association between patients’ awareness of Covid-19 and risk factors for severe disease and adherence to prevention protocols should be evaluated in future studies [ 34 – 38 ]. Using telehealth-based services during the COVID-19 pandemic may be useful in this regard [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Demographic and clinical characteristics of severe Covid-19 infections: a cross-sectional study from Mashhad University of Medical Sciences, Iran

et al. 2021

View full text Add to dashboard Cite

Background Coronavirus Disease 2019 (Covid-19) is expanding worldwide. The characteristics of this infection in patients varies from country to country. To move forward, clinical data on infected patients are needed. Here, we report a comparison between fatalities and recovery of patients with severe Covid-19, based on demographic and clinical characteristics. Methods Between 5 March and 12 May 2020 in Mashhad, Iran, 1278 of 4000 suspected Covid-19 patients were confirmed positive by real-time reverse-transcriptase–polymerase-chain-reaction assay of upper respiratory specimens. We compared the demographic, exposure history and clinical symptoms of 925 survivors and 353 fatal cases with confirmed disease. Results Mean (SD) age for all confirmed patients was 56.9 (18.7) years, 67.1 (15.9) years in fatal cases and 53.0 (18.3) years in survivors. Multivariate logistic regression analysis showed that the outcome of patients was associated with age (odds ratio = 1.049, P = 0.0001, 95% CI = 1.040–1.057). Despite a high burden of Covid-19 infections in the 30–39 and 40–49 year age groups, most of these (89.6 and 87.2%, respectively) recovered. The median (IQR) duration of hospitalization was 9.0 (6.0–14.0) days. The most prevalent co-morbidities were cardiovascular disorders (21%) and diabetes (16.3%). Dyspnoea (72.7%), cough (68.1%) and fever (63.8%) were the most frequent clinical symptoms. Healthcare workers, of whom two (3%) died, comprised 5.2% of infected cases. Combination antiviral and antibiotic therapy was used in 43.0% of cases. Conclusions The characteristics of severe Covid-19 varied substantially between fatal cases and survivors, with diabetes and cardiovascular disorders the most prevalent co-morbidities. In contrast to other studies, there were a higher number of fatalities in younger patients in our setting.

show abstract

“…Lockdown of cities can be a great solution to control and prevent the spread of the disease [ 60 – 62 ]. In Iran, the lack of public awareness promoted the rapid spread of COVID-19 and the rate of hospital admission and mortality increased dramatically.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological characteristics and initial spatiotemporal visualisation of COVID-19 in a major city in the Middle East

et al. 2021

View full text Add to dashboard Cite

Background The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) emerged initially in China in December 2019 causing the COVID-19 disease, which quickly spread worldwide. Iran was one of the first countries outside China to be affected in a major way and is now under the spell of a fourth wave. This study aims to investigate the epidemiological characteristics of COVID-19 cases in north-eastern Iran through mapping the spatiotemporal trend of the disease. Methods The study comprises data of 4000 patients diagnosed by laboratory assays or clinical investigation from the beginning of the disease on Feb 14, 2020, until May 11, 2020. Epidemiological features and spatiotemporal trends of the disease in the study area were explored by classical statistical approaches and Geographic Information Systems. Results Most common symptoms were dyspnoea (69.4%), cough (59.4%), fever (54.4%) and weakness (19.5%). Approximately 82% of those who did not survive suffered from dyspnoea. The highest Case Fatality Rate (CFR) was related to those with cardiovascular disease (27.9%) and/or diabetes (18.1%). Old age (≥60 years) was associated with an almost five-fold increased CFR. Odds Ratio (OR) showed malignancy (3.8), nervous diseases (2.2), and respiratory diseases (2.2) to be significantly associated with increased CFR with developments, such as hospitalization at the ICU (2.9) and LOS (1.1) also having high correlations. Furthermore, spatial analyses revealed a geographical pattern in terms of both incidence and mortality rates, with COVID-19 first being observed in suburban areas from where the disease swiftly spread into downtown reaching a peak between 25 February to 06 March (4 incidences per km2). Mortality peaked 3 weeks later after which the infection gradually decreased. Out of patients investigated by the spatiotemporal approach (n = 727), 205 (28.2%) did not survive and 66.8% of them were men. Conclusions Older adults and people with severe co-morbidities were at higher risk for developing serious complications due to COVID-19. Applying spatiotemporal methods to identify the transmission trends and high-risk areas can rapidly be documented, thereby assisting policymakers in designing and implementing tailored interventions to control and prevent not only COVID-19 but also other rapidly spreading epidemics/pandemics.

show abstract

The Role of Social Media in the Advent of COVID-19 Pandemic: Crisis Management, Mental Health Challenges and Implications

Cited by 274 publications

References 128 publications

COVID-19 Preventive Behaviors in Pre-hospital Emergency Personnel: Application of Protection Motivation Theory

COVID-19 Preventive Behaviors in Pre-hospital Emergency Personnel: Application of Protection Motivation Theory

Demographic and clinical characteristics of severe Covid-19 infections: a cross-sectional study from Mashhad University of Medical Sciences, Iran

Epidemiological characteristics and initial spatiotemporal visualisation of COVID-19 in a major city in the Middle East

Contact Info

Product

Resources

About