METHODS: Consensus-driven approach between authors from the six selected countries was applied. Country specific policy documents, official government media statements, mainstream news portals, global statistics databases and latest published literature available between January-October 2020 were utilised for information retrieval. Situational and epidemiological trend analyses were conducted. Country-specific interventions and challenges were described. Based on evidence appraised, a descriptive framework was considered through a consensus. The authors subsequently outlined the lessons learned, challenges ahead and interventions that needs to be in place to control the pandemic.
RESULTS: The total number of people infected with COVID-19 between 1 January and 16 November 2020 had reached 48,520 in Malaysia, 58,124 in Singapore, 3,875 in Thailand, 470,648 in Indonesia, 409,574 in Philippines and 70,161 in Myanmar. The total number of people infected with COVID- 19 in the six countries from January to 31 October 2020 were 936,866 cases and the mortality rate was 2.42%. Indonesia had 410,088 cases with a mortality rate of 3.38%, Philippines had 380,729 cases with a mortality rate of 1.90%, Myanmar had 52,706 cases with a mortality rate of 2.34%, Thailand had 3,780 cases with a mortality rate of 1.56%, Malaysia had 31,548 cases with a mortality rate of 0.79%, and Singapore had 58,015 cases with a mortality rate of 0.05% over the 10- month period. Each country response varied depending on its real-time situations based on the number of active cases and economic situation of the country.
CONCLUSION: The number of COVID-19 cases in these countries waxed and waned over the 10-month period, the number of cases may be coming down in one country, and vice versa in another. Each country, if acting alone, will not be able to control this pandemic. Sharing of information and resources across nations is the key to successful control of the pandemic. There is a need to reflect on how the pandemic affects individuals, families and the community as a whole. There are many people who cannot afford to be isolated from their families and daily wage workers who cannot afford to miss work. Are we as a medical community, only empathising with our patients or are we doing our utmost to uphold them during this time of crisis? Are there any other avenues which can curb the epidemic while reducing its impact on the health and socio-economic condition of the individual, community and the nation?
METHODS: Using open data repository with daily infected, recovered and death cases in the period between March 2020 and April 2021, a descriptive analysis was performed. The susceptible-exposed-infected-recovery model was used to estimate the effective productive number (Rt). The duration taken from Rt > 1 to Rt
METHODS: This study used data from the Global COVID-19 Index provided by PEMANDU Associates. The sample, representing 161 countries, comprised the number of confirmed cases, deaths, stringency indices, population density and GNI per capita (USD). Correlation matrices were computed to reveal the association between the variables at three time points: day-30, day-60 and day-90. Three separate principal component analyses were computed for similar time points, and several standardized plots were produced.
RESULTS: Confirmed cases and deaths due to COVID-19 showed positive but weak correlation with stringency and GNI per capita. Through principal component analysis, the first two principal components captured close to 70% of the variance of the data. The first component can be viewed as the severity of the COVID-19 surge in countries, whereas the second component largely corresponded to population density, followed by GNI per capita of countries. Multivariate visualization of the two dominating principal components provided a standardized comparison of the situation in the161 countries, performed on day-30, day-60 and day-90 since the first confirmed cases in countries worldwide.
CONCLUSION: Visualization of the global spread of COVID-19 showed the unequal severity of the pandemic across continents and over time. Distinct patterns in clusters of countries, which separated many European countries from those in Africa, suggested a contrast in terms of stringency measures and wealth of a country. The African continent appeared to fare better in terms of the COVID-19 pandemic and the burden of mortality in the first 90 days. A noticeable worsening trend was observed in several countries in the same relative time frame of the disease's first 90 days, especially in the United States of America.
METHOD: This paper uses conceptual and normative analysis to address responsibility in the context of the pandemic. The paper also refers to reports published by the German Ethics Council, the Malaysian Bioethics Community and the Swedish National Council on Medical Ethics.
RESULTS: The primary responsibility of governments is to create a balance between individual values and rights, one hand, and the health of the population, on the other. There are good reasons to conceive of individual responsibility as a virtue, having to do with the development of crucial character traits and habits. The responsibility of governments is connected to individual responsibility through the values of trust and solidarity.
CONCLUSIONS: Governments need to communicate clearly (a) how they balance conflicts between collective health and individual rights and values and (b) what the chosen strategy entails in terms of collective and individual responsibility. Success requires attention to ethical values from all involved. Individuals will need to develop new character traits to help manage this pandemic and to prevent new ones. Governments must facilitate the development of such character traits by building trust and solidarity with and among citizens.
METHODS: We searched Ovid MEDLINE, Ovid Embase, medRxiv and bioRxiv between January 2020 to October 2021 to identify studies that reported on the rates of screening mammography and breast cancer diagnosis before and during the pandemic. The effects of 'lockdown' measures, age and ethnicity on outcomes were also examined. All studies were assessed for risk of bias using the Newcastle-Ottawa Scale (NOS). Rate ratios were calculated for all outcomes and pooled using standard inverse-variance random effects meta-analysis.
RESULTS: We identified 994 articles, of which 7 registry-based and 24 non-registry-based retrospective cohort studies, including data on 4,860,786 and 629,823 patients respectively across 18 different countries, were identified. Overall, breast cancer screening and diagnosis rates dropped by an estimated 41-53% and 18-29% respectively between 2019 and 2020. No differences in mammogram screening rates depending on patient age or ethnicity were observed. However, countries that implemented lockdown measures were associated with a significantly greater reduction in mammogram and diagnosis rates between 2019 and 2020 in comparison to those that did not.
CONCLUSION: The pandemic has caused a substantial reduction in the screening and diagnosis of breast cancer, with reductions more pronounced in countries under lockdown restrictions. It is early yet to know if delayed screening during the pandemic translates into higher breast cancer mortality.