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Novel coronavirus disease (COVID-19) has put restriction of travel, and social distancing has become a new normal. This outbreak of the pandemic has made telemedicine more relevant than ever. The objective of this study is to identify the factors affecting the rate of adoption of telemedicine and effect of the COVID-19 on these factors. The research develops five hypotheses to test the influence of a disease outbreak on the rate of telemedicine adoption. The method used for the study is the Wilcoxon signed-rank test, and the sampling method used for the study is purposive sampling. The respondents were taken from a multispecialty clinic in North India and the sample size for the study is 43. The study concludes that patients are seeing more value in the use of telemedicine during COVID-19. They are more willing to experiment with telemedicine and are not intimidated by the technology related to telemedicine.The emergence of novel coronavirus disease 2019 (COVID-19) pandemic provides unique challenges for health system. While on the one hand, the government has to struggle with the strategies for control of COVID-19, on the other hand, other routine health services also need to be managed. Second, the infrastructure needs to be augmented to meet the potential epidemic surge of cases. Third, economic welfare and household income need to be guaranteed. All of these have complicated the routine ways in which the governments have dealt with various trade-offs to determine the health and public policies. In this paper, we outline key economic principles for the government to consider for policymaking, during, and after the COVID-19 pandemic. The pandemic rightfully places long due attention of policymakers for investing in health sector. The policy entrepreneurs and public health community should not miss this once-in-a-lifetime "policy window" to raise the level of advocacy for appropriate investment in health sector.The mHealth app Arogya Setu can substantially contribute to the containment and management of COVID-19. This study explores the experiences and expectations of Arogya Setu app users by conducting a combined content analysis of their reviews. Five hundred and three most relevant reviews were analyzed using the descriptive statistics and thematic analysis. The reviews are primarily posted in the areas of user acceptance (80%), app usefulness (72.8%), and app features (62.2%). The thematic analysis resulted in four themes user acceptance, app usefulness, promptness of the Indian Government in bringing the app on time, and concerns and cautions raised by the users. These help in strengthening the app features enabling the real-time data capture and analytics and providing timely information to authorities for better decision-making.Masks play a role in the protection of health-care workers (HCWs) from acquiring respiratory infections, including coronavirus disease 2019 (COVID-19) in health-care settings. This observational study was conducted among 382 HCWs in a tertiary care setting over a period of 1 month. Descriptive analysis was done to assess the rational and recommended use of masks/respirators during COVID-19 pandemic using a structured observation checklist as a survey tool. A total of 374 HCWs were included, 64.9% of whom were using face masks rationally as mentioned per risk area categorization with a predominance of triple-layered mask during all 4 weeks. Overall, 64.1% used masks correctly. Clear guidelines and strategies can help to increase the compliance of HCWs with rational use of face masks.The information on the clinical course of coronavirus disease 2019 (COVID-19) and its correlates which are essential to assess the hospital care needs of the population are currently limited. We investigated the factors associated with hospital stay and death for COVID-19 patients for the entire state of Karnataka, India. A retrospective-cohort analysis was conducted on 445 COVID-19 patients that were reported in the publicly available media-bulletin from March 9, 2020, to April 23, 2020, for the Karnataka state. This fixed cohort was followed till 14 days (May 8, 2020) for definitive outcomes (death/discharge). The median length of hospital stay was 17 days (interquartile range 15-20) for COVID-19 patients. Having severe disease at the time of admission (adjusted-hazard-ratio 9.3 (3.2-27.3);P less then 0.001) and being aged ≥ 60 years (adjusted-hazard-ratio 11.9 (3.5-40.6);P less then 0.001) were the significant predictors of COVID-19 mortality. By moving beyond descriptive (which provide only crude information) to survival analyses, information on the local hospital-related characteristics will be crucial to model bed-occupancy demands for contingency planning during COVID-19 pandemic.Media plays an indispensable role in society to influence health literacy. To document COVID-19 coverage in Kannada daily newspapers, hardcopies of 455 editions were methodically reviewed. Content analysis and data coding of 11 of the possible 60 terms/concepts related to COVID-19 epidemiology, was undertaken. Across dailies, five different dimensions in reporting documented reporting of statistics - both numbers and manner of reporting, reporting of epidemiological concepts/terms (frequency of use and frequency of reporting), focus of reporting, density of reporting and finally what is not reported which could have been reported (desirable reporting). Numbers were reported as headlines; >25% of listed items were covered; however, 20% of terms not covered would have helped. We looked at "News" as epidemiological information and identified the gaps in reporting. CVT-313 molecular weight We conclude that vernacular print media in Karnataka has done a commendable job. A media communication plan is urgently needed.Health systems' responsiveness is the key to addressing infectious disease threats such as pandemics. The article outlines an assessment of health systems based on World Health Organization's building blocks for select countries. It also compares these with the findings from a more comprehensive analysis of Global Health Security (GHS) Index, which assesses the preparedness of the health system for such pandemics. The GHS report (2019) spelt out very objectively that none of the countries of the world was prepared to effectively handle such emergencies, should they arise. Observations emerging from different countries highlight these findings although some of them seem to be discordant. Overall, it appears that Asian countries could fight the battle better than most developed nations in the Europe and America during the current pandemic, despite having poor GHS scores. Experiences of these countries in facing similar crisis in the past probably sensitized their strained health systems for a greater good. There are several lessons to be learned from such countries.

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