Introduction Coronavirus Disease 2019 (COVID-19) was declared a pandemic in the middle of March as the disease is highly contagious and spread very quickly throughout the world. Understanding the knowledge and practice among healthcare staff is also crucial, especially among the frontlines staff, as they need to protect themselves and facilitate in educating their patients and public regarding disease prevention measures. This study's objective is to assess knowledge, practice, and perception on the effectiveness of the preventive measures taken by Ministry of Health (MOH) staff to prevent transmission of the disease and measures they would take should they develop symptoms of the disease on COVID-19 disease. (TPB). Methods We conducted a cross-sectional online survey from 30th March 2020 to 6th April 2020 among the Ministry of Health staff. 1719 staff completed the survey. Results The overall correct rate of knowledge was 46.6%. Most participants held good perceptions (range from 77.8% to 98.4%) and good practices (range from 88.8% to 99.7%) towards COVID-19 preventive measure. Meanwhile, the preventive measures practices if they develop symptoms of COVID-19 range from 89.8% to 99.7% and for the perception, it ranges from 85.5% to 98.9%. Conclusions There are also still some lower percentages of perceptions and practices than expected. Additional education intervention and campaigns are required to provide the Ministry of health staff with adequate knowledge towards COVID19 main symptoms, general knowledge and transmission route of COVID-19, and increase some of the perceptions and practices on COVID-19 preventive measures. Keywords

Introduction: Physical inactivity has been identified as the fourth leading risk factor for worldwide mortality with major implications towards general health. Monitoring the level of physical inactivity may reduce the burden of non-communicable diseases (NCDs) and their risk factors. This study aims to determine the prevalence of physical inactivity and its associated factors among adults aged 18 years and above in Malaysia. Methodology: Data was obtained from the National Health and Morbidity Survey (NHMS) 2019. It was a cross-sectional, population-based survey which employed two- stage stratified random sampling design. A total of 10,356 out of 10,472 respondents were interviewed using a short version of International Physical Activity Questionnaire (IPAQ). Results: Overall, the prevalence of physical inactivity among adults aged 18 years and above in Malaysia was 24.6% (95% CI: 23.2, 26.1). Results from multivariable logistic model showed that Chinese ethnicity (aOR 1.32; 95% CI: 1.04, 1.67), urban dwellers (aOR 1.30; 95% CI: 1.07, 1.57), those who were single (including widow, widower and divorcee) (aOR 1.36; 95% CI: 1.14, 1.61), students (aOR 2.10; 95% CI: 1.30, 3.40), higher household income earners (aOR 1.34; 95% CI: 1.07, 1.68) and those with hypercholesterolaemia (aOR 1.25; 95% CI: 1.03, 1.51) were significantly more likely to be physically inactive. Conclusion Specific and appropriate intervention towards targeted group is in crucial need to increase the level of physical activity and to promote an active living towards an active and healthy Malaysia.

Background: Pre-existing comorbidities can predict severe disease requiring intensive care unit (ICU) admission among COVID-19 cases. We compared comorbidities, clinical features and other predictive factors between COVID-19 patients requiring ICU admission for intubation/mechanical ventilation and all other COVID-19 cases in Selangor, Malaysia. Methods: Field data collected during the COVID-19 outbreak in Selangor, Malaysia, up to 13 April 2020 were used, comprising socio-demographic characteristics, comorbidities and presenting symptoms of COVID-19 cases. ICU admission was determined from medical records. Multiple logistic regression analysis was performed to identify factors associated with ICU admission requiring intubation/mechanical ventilation among COVID-19 cases. Results: A total of 1287 COVID-19-positive cases were included for analysis. The most common comorbidities were hypertension (15.5%) and diabetes (11.0%). More than one third of cases presented with fever (43.8%) or cough (37.1%). Of the 25 cases that required intubation/mechanical ventilation, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% were lethargic. Multivariate regression showed that cases that required intubation/mechanical ventilation had significantly higher odds of being older (aged 360 years) [adjusted odds ratio (aOR) = 3.9] and having hypertension (aOR = 5.7), fever (aOR = 9.8), dyspnoea (aOR = 9.6) or lethargy (aOR = 7.9) than cases that did not require intubation/mechanical ventilation. Conclusion: The COVID-19 cases in Selangor, Malaysia requiring intubation/mechanical ventilation were significantly older, with a higher proportion of hypertension and symptoms of fever, dyspnoea and lethargy. These risk factors have been reported previously for severe COVID-19 cases, and highlight the role that ageing and underlying comorbidities play in severe outcomes to respiratory disease.

Introduction: Community health workers/volunteers (CHW) are health workers who are trained but do not possess a formal professional certificate. They are members of the community who live and work in that particular community. This study aimed to determine factors associated with not performing health screening activities by volunteers under KOSPEN; a community-based intervention programme, initiated by Ministry of Health Malaysia in October 2013. Methods: Data from the “Evaluation of the implementation of KOSPEN programme in Malaysia 2016” was used,a cross-sectional study which was carried out in randomly selected KOSPEN localities throughout Malaysia. The response rate was 94.9%. A pre-tested, self-administered questionnaire was used. Descriptive statistics andlogistic regression analysis was applied using Statistical Package for Social Sciences (SPSS) version 20. Results: 700 volunteers were included in this study. Majority were female (65.7%), aged 50-59 years (30.9%), had secondary education (65.3%), employed (55.7%.) and married (80.4%). Several issues were identified by the volunteers; funding (47.2%), module content and comprehensibility (11.4% respectively), submitting returns (17%). Multivariate logistic regression showed that volunteers who never attended training (aOR 2.79; 95% CI:1.66, 4.67) and who felt the content of the training module was inadequate (aOR 2.693; 95% CI: 1.46, 4.98) were more likely did not perform screening activities in the community. Conclusion Volunteers who were not trained and those who felt the content of the training module was inadequate did not carry out screening activities. These findings will be useful for stakeholders to make improvements to the programme for a more successful implementation.