METHODS: All laboratory-confirmed COVID-19 cases reported to the Petaling District Health Office between 1 February and 26 June 2020 were analysed. Socio-demographic characteristics, symptoms, date of onset, date of exposure, travel history and history of comorbidities were obtained by phone interviews using one of two investigation forms. The descriptive analysis was conducted according to time, place and person.
RESULTS: There were 437 COVID-19 cases, for an incidence rate of 24/100 000 population. Ten (2.3%) deaths and 427 recovered cases were recorded. Of the 437 cases, 35.5% remained asymptomatic and 64.5% were symptomatic. Common symptoms included fever (43.8%), cough (31.6%) and sore throat (16.2%); 67.3% had no comorbidities, 62.5% reported close contact with a confirmed case, and 76.7% were local infections. Transmission occurred in four main groups: religious gatherings (20.4%), corporations (15.1%), health facilities (10.3%) and a wholesale wet market (6.4%). In 31.9% of confirmed cases, an epidemiological link to an asymptomatic case was found.
CONCLUSION: Transmission of the disease by asymptomatic cases should be emphasized to ensure continuous wearing of face masks, hand hygiene and social distancing. Further research should be conducted to better understand the transmission of SARS-CoV-2 from asymptomatic cases.
Methods: Information on all confirmed COVID-19 cases in Selangor between 25 January and 28 April 2020 was obtained. Clusters were identified, and cases were disaggregated into linked, unlinked and imported cases. Epidemic curves were constructed, and the timing of movement control orders was compared with the numbers of cases reported.
Results: During the study period, 1395 confirmed COVID-19 cases were reported to the Selangor Health Department, of which 15.8% were imported, 79.5% were linked and 4.7% were unlinked cases. For two main clusters, the number of cases decreased after control measures were instituted, by contact-tracing followed by isolation and home quarantine for the first cluster (n = 126), and with the addition of the movement control order for the second, much larger cluster (n = 559).
Discussion: The findings suggest that appropriate, timely public health interventions and movement control measures have a synergistic effect on controlling COVID-19 outbreaks.
METHODOLOGY: A mutlinational study was conducted from April-June 2020 involving researchers from 12 countries (Japan, Austria, U.S., Taiwan, India, Sudan, Indonesia, Malaysia, Philippines, Myanmar, Vietnam and Thailand). Steps in this research consisted of carrying out open-ended questionnaires, qualitative analyses in NVivo, and a multinational meeting to reflect, exchange, and validate results. Lastly, a commuinty response model was synthesized from multinational experiences.
RESULTS: Effective communication is key in promoting collective action for preventing virus transmission. Health literacy, habits and social norms in different populations are core components of public health interventions. To enable people to stay home while sustaining livelihoods, economic and social support are essential. Countries could benefit from previous pandemic experience in their community response. Whilst contact tracing and isolation are crucial intervention components, issues of privacy and human rights need to be considered.
CONCLUSIONS: Understanding community responses to containment policies will help in ending current and future pandemics in the world.
METHODS: A online cross-sectional survey was conducted with the people living in Wuhan between March 12th and 23rd, 2020.
RESULTS: Of a total of 2411 complete responses, the mean and standard deviation for the total physical prevention barriers score was 19.73 (standard deviation ± 5.3; range 12-45) out of a possible score of 48. Using a cut-off score of 44 for the State-Trait Inventory score, 79.9% (95% confidence interval [CI]: 78.2-81.5) of the participants reported moderate to severe anxiety during the early phase of the outbreak, and 51.3% (95% CI 49.2-53.3) reported moderate to severe anxiety after the peak of coronavirus disease 2019 was over (during the study period). Comparing anxiety levels in the early phase of the outbreak and after the peak of the outbreak, 58.5% (95% CI 56.5-60.5) recorded a decreased anxiety. Females reported a higher likelihood of having decreased levels of anxiety than males (odds ratio = 1.78, 95% CI 1.48-2.14). Low negative attitudes score were associated with a higher decrease in anxiety (odds ratio = 1.59, 95% CI 1.33-1.89).
CONCLUSIONS: The attitudinal barriers to prevention of transmission of coronavirus disease 2019 are more prominent than physical prevention barriers after the peak of coronavirus disease 2019. High anxiety levels even after the peak warrant serious attention.
METHODS: We conducted a cross-sectional, online-based survey study between January 28, 2020, and February 2, 2020 among the adult lay public in Wuhan to access their support, understanding of, compliance with, and the psychological impacts of the quarantine. Multivariable logistic analysis was used to identify factors associated with psychological impacts.
RESULTS: Among the 4100 participants investigated, a total of 15.9% were compliant with all the five household prevention measures, whereas 74.4% were compliant with all the three community prevention measures investigated. By demographics, participants of younger age, higher income, residing in an urban area, knowing neighbors infected with COVID-19 reported significantly higher psychological impact score. Participants with a lower level of support for quarantine were more likely to have a higher psychological impact score (OR = 1.45, 95% CI 1.07-1.96). Participants with a lower level of compliance with preventive measures (score of 0-19) reported higher psychological impact (OR = 1.40, 95% CI 1.22-1.60 vs. score 20-24). Participants who had been out of house socializing and attended public events expressed higher psychological impact.
CONCLUSIONS: Support, understanding of the rationale for quarantine are essential in ensuring appropriate psychological well-being during the quarantine. Improvements in compliance with preventive measures are highly warranted and may bring about a reduction in psychological distress.
METHODS: A multi-centric cross-sectional web-based study was conducted from 29th May to 27th July 2020 among HCWs in Perlis, Malaysia using a 19-item validated questionnaire [Cronbach's alpha: 0.61 (knowledge domain), 0.74 (attitude domain), and 0.72 (practice domain)]. Challenges when working during MCO were identified from a self-rated five-point Likert scale of 14-item.
RESULTS: There were a total of 373 respondents (response rate more than 40%); 48.0% were nurses, 14.7% were medical doctors, and 12.9% were administrative and technical support staffs. Majority of HCWs (90.1%, n = 336) had good knowledge, optimistic attitude (54.7%, n = 204) and good COVID-19 preventive measure practices (90.9%, n = 339). Multiple logistic regression demonstrated that profession was the single significant factor for good COVID-19 KAP. Though having lesser odds of good knowledge (aOR 0.07, 95% CI:0.01-0.36, p = .009), nurses showed greater odds of good attitude (aOR 3.14, 95% CI: 1.71-5.76, p = .011) and practice (aOR 10.69, 95% CI:2.25-50.86, p = .022) as compared to doctors and dentists. Main challenges identified when working during MCO were increased workload (44.5%, n = 166), difficulty going out shopping (48.3%, n = 180), to exercise (40.2%, n = 150) and meet with family members (64.3%, n = 240).
CONCLUSION: Generally, HCWs in Perlis had good KAP with regards to COVID-19 infection and its preventive measures. Challenges underlined by HCWs while working during the MCO were increased workload, difficulty to shop for daily essentials, exercise and meet with family members. Should good COVID-19 KAP be sustained, they might contribute to success in combating this disease.
METHODS: A survey was conducted with 2926 participants aged between 25 and 45 years from all eight divisions of Bangladesh. The data collection period was between 2nd September- 13th October, 2020. Partial Least Square Structural Equation Modelling (PLS-SEM) was conducted for data analysis by controlling the respondents' working time, leisure time, gender, education, and age.
RESULTS: Our study showed that social media addiction and time spent on social media impact health. Interestingly, while anxiety about COVID increased social media addition, fear about COIVD reduced social media addition. Among all considered factors, long working hours contributed most to people's health issues, and its impact on social media addiction and hours was much higher than negative emotions. Furthermore, females were less addicted to social media and faced less health challenges than males.
CONCLUSION: The impacts of negative emotions generated by the COVID disaster on social media addiction and health issues should be reconsidered. Government and employers control people's working time, and stress should be a priority to solve people's social media addiction-related issues.
METHODS: We downloaded COVID-19 outbreak data of the number of confirmed cases in all countries as of October 19, 2020. The IRT-based predictive model was built to determine the pandemic IP for each country. A model building scheme was demonstrated to fit the number of cumulative infected cases. Model parameters were estimated using the Solver add-in tool in Microsoft Excel. The absolute advantage coefficient (AAC) was computed to track the IP at the minimum of incremental points on a given ogive curve. The time-to-event analysis (a.k.a. survival analysis) was performed to compare the difference in IPs among continents using the area under the curve (AUC) and the respective 95% confidence intervals (CIs). An online comparative dashboard was created on Google Maps to present the epidemic prediction for each country.
RESULTS: The top 3 countries that were hit severely by COVID-19 were France, Malaysia, and Nepal, with IP days at 263, 262, and 262, respectively. The top 3 continents that were hit most based on IP days were Europe, South America, and North America, with their AUCs and 95% CIs at 0.73 (0.61-0.86), 0.58 (0.31-0.84), and 0.54 (0.44-0.64), respectively. An online time-event result was demonstrated and shown on Google Maps, comparing the IP probabilities across continents.
CONCLUSION: An IRT modeling scheme fitting the epidemic data was used to predict the length of IP days. Europe, particularly France, was hit seriously by COVID-19 based on the IP days. The IRT model incorporated with AAC is recommended to determine the pandemic IP.
Materials and Methods: An online survey of 35 questions was conducted to evaluate impact on (i) general orthopaedic practice (ii) hospital protocols (iii) out-patient practice (iv) surgical practice (v) personal protective equipment (PPE) use and (vi) post-lockdown preparedness.
Results: A total number of 588 practising orthopaedic surgeons from India completed the survey. Majority (88.3%) found severe impact (>50%) on trauma surgery and non-trauma surgery with significant reduction in out -patient attendance compared to corresponding time in 2019. There were significant changes made in individual hospital protocols (91.7 %). Appropriate required PPE was available in majority of the hospitals (74.3%). No remodelling or upgrading of the existing operating theatre infrastructure was done by most surgeons (89.5%).
Conclusion: This pan India survey of orthopaedic surgeons has indicated that COVID-19 has had a profound impact on their outpatient and surgical trauma and non-trauma practice, due to the lockdown and resulted in significant changes to hospital protocols. Preparedness to resume clinical and surgical practice was associated with anxiety in two-thirds of the respondents. Majority of the orthopaedic practitioners felt that they would continue to conduct pre-operative COVID-19 screening and use PPE even after the lockdown is over.