Monitoring and Early Warning of SMEs' Shutdown Risk under the Impact of Global Pandemic Shock

The COVID-19 outbreak devastated business operations and the world economy, especially for small and medium-sized enterprises (SMEs). With limited capital, poorer risk tolerance, and difficulty in withstanding prolonged crises, SMEs are more vulnerable to pandemics and face a higher risk of shutdown. This research sought to establish a model response to shutdown risk by investigating two questions: How do you measure SMEs' shutdown risk due to pandemics? How do SMEs reduce shutdown risk? To the best of our knowledge, existing studies only analyzed the impact of the pandemic on SMEs through statistical surveys and trivial recommendations. Particularly, there is no case study focusing on an elaboration of SMEs' shutdown risk. We developed a model to reduce cognitive uncertainty and differences in opinion among experts on COVID-19. The model was built by integrating the improved Dempster's rule of combination and a Bayesian network, where the former is based on the method of weight assignment and matrix analysis. The model was first applied to a representative SME with basic characteristics for survival analysis during the pandemic. The results show that this SME has a probability of 79% on a lower risk of shutdown, 15% on a medium risk of shutdown, and 6% of high risk of shutdown. SMEs solving the capital chain problem and changing external conditions such as market demand are more difficult during a pandemic. Based on the counterfactual elaboration of the inferred results, the probability of occurrence of each risk factor was obtained by simulating the interventions. The most likely causal chain analysis based on counterfactual elaboration revealed that it is simpler to solve employee health problems. For the SMEs in the study, this approach can reduce the probability of being at high risk of shutdown by 16%. The results of the model are consistent with those identified by the SME respondents, which validates the model.

Satisfaction among patients and caregivers receiving value-added services during the COVID-19 pandemic outbreak in a tertiary hospital in the Perak state of Malaysia

Objectives: Patient satisfaction was used as an indicator of service quality in the public hospitals. The pharmacy value-added services (VAS) were intensified after the COVID-19 outbreak, and evaluation of user's satisfaction was important for service improvement. Methods: This was a single-centre, cross-sectional, web-based study in the outpatient pharmacy in a tertiary hospital in the Perak state of Malaysia. Patients and caregivers aged 18 years and above, received at least one prescription refill using the pharmacy VAS from April to September 2020, were included. The questionnaire was adapted from a validated tool, underwent face and content validation before dissemination. The link was disseminated to the targeted population through short messages service (SMS). Key findings: Out of 1200 invited people, 303 agreed to participate. Majority of the respondents were male (160, 52.8%), Chinese (156, 51.5%), with tertiary education (201, 66.3%) and retiree (112, 37.0%). Out of a maximum score of 5, the overall mean satisfaction score was 4.42 (SD: 0.55). The respondents were most agreeable to time-saving benefits of the pharmacy VAS (4.56 +/- 0.63). Majority of the respondents felt that pharmacy VAS had made their life easier (290, 95.7%) and planned to recommend the pharmacy VAS to others (292, 96.4%) Respondents aged more than 60 (versus age 18-35, beta = 2.375, P < 0.001) and those who used drive-through service (versus SPUB, beta = 2.272, P = 0.001) reported higher satisfaction scores. Several suggestions were made for service improvement, including longer operating hours (18, 6.0%), upgraded communication system (9, 3.0%), smoother registration process (9, 3.0%), more polite staff (9, 3.0%), selection of preferred postage delivery time (6, 2.0%) and promotion of VAS (4, 1.3%) Conclusions: Majority of the respondents were highly satisfied towards the pharmacy VAS. Future studies should compare the satisfaction of VAS with traditional counter service to compare the level and factors that contributed to the users' satisfaction.

Big Data Analysis for Effects of the COVID-19 Outbreak on Ambient PM2.5 in Areas that Were Not Locked Down

COVID-19, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first broke out at the end of 2019. Despite rapidly spreading around the world during the first half of 2020, it remained well controlled in Taiwan without the implementation of a nationwide lockdown. This study aimed to evaluate the PM2.5 concentrations in this country during the 2020 COVID-19 pandemic and compare them with those during the corresponding period from 2019. We obtained measurements (taken every minute or every 3 minutes) from approximately 1,500 PM2.5 sensors deployed in industrial areas of northern and southern Taiwan for the first quarters (January-March) of both years. Our big data analysis revealed that the median hourly PM2.5 levels decreased by 3.70% (from 16.3 to 15.7 mu g m(-3)) and 10.6% (from 32.4 to 29.3 mu g m(-3)) in the north and south, respectively, between these periods owing to lower domestic emissions of PM2.5 precursors (viz., nitrogen dioxide and sulfur dioxide) and, to a lesser degree, smaller transported emissions of PM2.5, e.g., from China. Additionally, the spatial patterns of the PM2.5 in both northern and southern Taiwan during 2020 resembled those from the previous year. Finally, controlling local PM2.5 emission sources critically contributes to reducing the number of COVID-19 cases.

Public KAP towards COVID-19 and Antibiotics Resistance: A Malaysian Survey of Knowledge and Awareness

This study aimed to assess the knowledge of the Malaysian public on the coronavirus disease 2019 (COVID-19) and antibiotics, the practice of preventive measures and attitude towards the new norms. The web-based questionnaire was disseminated online from 1 to 31 October 2020. Out of 2117 respondents, 1405 (66.4%) knew that transmission of COVID-19 virus could happen in asymptomatic people. In term of antibiotics knowledge, 779 (36.8%) respondents were aware that taking antibiotics could not speed up the recovery process of all infections. Less than half of the respondents (49.0%) knew that antibiotics are effective against bacterial infection only. Majority (92.3%) practiced good preventive measures. Majority of the respondents strongly agreed that quarantine should be made mandatory for all arrival from overseas (97.2%) and wearing face masks should be made mandatory in all public areas (94.0%). Respondents of Chinese ethnicity (p = 0.008), middle-aged (p = 0.002), with tertiary education (p = 0.015) and healthcare related education (p < 0.001), from the higher income groups (p = 0.001) were more likely to have better knowledge on COVID-19. The Malaysian public demonstrated good knowledge towards COVID-19, adequate practice of preventive measures and high acceptance towards the new norm. Knowledge on antibiotics use and resistance was poor, which warrants attention from the health authorities.