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1.
International Journal of Infectious Diseases ; 116:S45-S45, 2022.
Article in English | Web of Science | ID: covidwho-1799973
2.
International Journal of Infectious Diseases ; 116:S45-S45, 2022.
Article in English | PMC | ID: covidwho-1720026
3.
Malaysian Journal of Medicine and Health Sciences ; 17:167-176, 2021.
Article in English | Scopus | ID: covidwho-1573344

ABSTRACT

Introduction: Police officers are at high risk for many forms of psychological problems which includes anxiety and depression during COVID-19 outbreak. This review is aimed to identify relevant stress factors faced by police officers during COVID-19. Methods: Literature searches were conducted in Scopus and Web of Science databases. Search terms used includes the following: psychological OR stress OR mental health, and COVID-19 OR coronavirus, and police, OR policing OR law enforcement. Results: All types of articles published in January 2020-October 2020 which were relevant to the subject of the review were identified. The stress factors found relevant can be divided into operational, organizational, and other factors. Risk of infection, lack of knowledge on disease, uncertainty, availability of safety gear, and lack of pre-disaster training are the unique stress factors related to COVID-19. Conclusion: It is crucial to determine pandemic-specific occupational stressors experienced by police officers to enable its mitigation and improve work performance. Recommended risk control may include counseling services to officers affected by COVID-19, improve officers job satisfaction by acknowledging their work, and provide social support to maintain their wellbeing. © 2021 UPM Press. All rights reserved.

4.
Malaysian Journal of Medicine and Health Sciences ; 17:42-50, 2021.
Article in English | Scopus | ID: covidwho-1573306

ABSTRACT

Introduction: This paper focuses on the epidemiological hotspot of COVID-19 cases in Malaysia and the population incidence rates under Movement Control Orders (MCOs). Methods: Dataset from the Ministry of Health Malaysia (MOH) were employed to determine the cumulative incidence rates by using population-based reference data from confirmed infections (cases/10,000 population) and the mapping was done by geographical information systems (GIS) software for three phases of MCOs (17th March - 28th April 2020) in Peninsular Malaysia. Results: The total number of COVID-19 cases reported by MCOs for 42 days was 4,580 and the incidence rate was 17.72 per 100,000 population. The trend of daily new COVID-19 cases reported across the MCOs was 1,949 cases in the first 14 days of the epidemic (MCO1) (the incidence rate of 7.54 per 100,000 population), 1,930 cases during MCO2 (incidence rate of 7.47 per 100,000 population) and 701 cases during the MCO3 (incidence rate of 2.71 per 100,000 population). Conclusion: The MCOs had a significant impact on case reduction. GIS is a useful tool in mapping cases distribution patterns and incidence rates during the MCOs that will assist in the decision making, and more importantly, in social mobilization and community responses. © 2021 UPM Press. All rights reserved.

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