Estimating the social burden of COVID-19 among caregivers of COVID-19 patients in punjab, pakistan.

Quantifying the COVID-19 burden is critical to public health response, resource allocation, and policies to mitigate the pandemic, reduce its impact on health and well-being, and ensure recovery and resilience of affected communities. Though a lot of research has been done worldwide on the issues of caregivers during the pandemic, the information about the Pakistani context is not sufficient. The present study aims to explore and quantify the social burden of family caregivers of COVID-19 patients in Pakistan on scientific grounds, which will be a foundation for the policy, support services, and eventually the improvements in the caregivers well-being who are facing the unrepresentative challenges during the pandemic.

Performance evaluation of DEWMA3 in phase-II for capturing changes in simple linear profiles based on run rule mechanism.

In Statistical Process Control, many techniques exist for monitoring the stability of a process over time. In this work, we study the relationship of the response variable with explanatory variables in the form of linear profiles for detecting changes in slope and intercept of the linear quality profiles. We used the transformation of explanatory variables approach used for make the regression estimates independent of each other to have zero average.