Assessment of Health Infrastructure in Tackling COVID-19: A Case Study of European and American Scenario

A conceptual approach to the rationale for SARS-CoV-2 vaccine allocation prioritisation

Currently vaccines protecting from COVID-19 are a scarce resource. Prioritising vaccination for certain groups of society is placed in a context of uncertainty due to changing evidence on the available vaccines and changing infection dynamics. To meet accepted ethical standards of procedural justice and individual autonomy, vaccine allocation strategies need to state reasons for prioritisation explicitly while at the same time communicating the expected risks and benefits of vaccination at different times and with different vaccines transparently. In this article, we provide a concept summarising epidemiological considerations underlying current vaccine prioritisation strategies in an accessible way. We define six priority groups (vulnerable individuals, persons in close contact with the vulnerable, key workers with direct work-related contact with the public, key workers without direct work-related contact to the public, dependents of key workers and members of groups with high interpersonal contact rates) and state vaccine priorities for them. Additionally, prioritisation may follow non-epidemiological considerations including the aim to increase intra-societal justice and reducing inequality. While national prioritisation plans integrate many of these concepts, the international community has so far failed to guarantee equitable or procedurally just access to vaccines across settings with different levels of wealth.

A simple mathematical model to predict and validate the spread of Covid-19 in India

The new outbreak of the corona virus (Covid-19) is expanding rapidly worldwide, disrupting millions and prompting authorities to take swift measures to avoid the disease. National lockdown imposed by the Indian government since 25 March 2020, the early lockdown action shows as compared to many other Countries/states can benefit from limiting the final size of the epidemic. A report on the issue of spreading the Covid-19 modeling in India is under review. This study analyzes Covid-19 infections by 20Dec 2021 and presents a mathematical approach for forecasting new cases or cumulative cases in practical situations. This forecast is much needed to schedule/continue medical set-ups for possible action to tackle the Covid-19 outbreak. It is important to mention here that the number of authors has proposed different models for predicting the expansion of Covid-19 to India and other countries; almost no model has yet to be demonstrated viable. With this mathematical model, it is simple to forecast the transfer of Covid-19. It is clear from the data that lockdown has played a significant role in controlling the transmission of the disease. A close match between the predicted empirical results and the available results proves the derived model similarity.