A panel analysis on preventing and controlling efficiency of COVID-19 pandemic

Abstract

BACKGROUND: Currently, the globe is making efforts to curb the spreading of coronavirus disease 2019 (COVID-19). However, only a few studies have examined the associations among spreading growth, treatment efficiency, and death increase. This study aimed to examine the associations of COVID-2019 dead cases, healed cases, and recovered cases.METHODS: Data from China Data Lab in Harvard Dataverse with the China (January 22, 2020 to March 18, 2020), United States of America (USA, March 17, 2020 to April 12, 2020), and the world (January 22, 2020 to April 4, 2020) were analyzed. The main variables included in the analysis were the numbers of COVID-2019 total confirmed cases (TC), total dead cases (TD), newly dead cases (ND), newly confirmed cases (NC), newly healed cases (NH), total healed cases (TH), and newly recovered cases (NR). Pooled, dynamic, and event study analyses were conducted to reflect the associations among them.RESULTS: Descriptive analyses showed that NH/NC ratio in China are bigger than NR/NC in USA and the world. Pooled analysis showed that various roles of regions in NH and NR in a specific sample. Dynamic analysis showed significant roles of lags and NC in NH and NR. Panel event study showed that key events influence ND and NH in China significantly and NR in the world rather than NR in USA.CONCLUSION: The findings in this study indirectly confirmed the relationship between spreading growth, treatment efficiency, and death increase. China’s control strategies of COVID-19 pandemic are worth of learning by the globe.

Perceived Threat of COVID-19 Contagion and Frontline Paramedics’ Agonistic Behaviour: Employing a Stressor–Strain–Outcome Perspective

“…Second, by using the SSO model, this study tested several theoretical-based relationships between the perceived threat of COVID-19 and human agonistic behaviour. Most of the recent studies concerning COVID-19 discussed the consequences and adverse effect on patients’ health, daily life, economy, and education [ 4 , 55 , 107 , 108 , 109 , 110 ]; however, this study mainly concentrated on the perceived threat of COVID-19 among frontline paramedics, and how it influenced their psychological strain and increased their agonistic behaviour. Therefore, the authors hope that this model can be further extended and used as an ideal platform for future work in a similar context.…”