Introduction- The long-term effects of SARS-CoV-2 infection are becoming a signicant burden on society and healthcare systems. Data on post-COVID-19 syndrome in the general population is needed to organise healthcare treatments and resources in a timely manner.(1) In adults hospitalised with severe coronavirus illness, long-term symptom duration and impairment are typical (COVID-19). Understanding the complete spectrum of COVID-19–associated disease and adjusting public health messages, treatments, and policies requires characterising return to baseline health among outpatients with milder COVID-19 illness.(2) Aims and Objectives This study aims to nd incidence and assess progression and burden of long covid among post covid patients. Methodology- A cross sectional interview-based study was conducted for a period of 3 months among post covid patients to nd the incidence of long Covid. The list of respondents was obtained from health departments records listing post covid patients from March 2021 to November 2021. Results- Our study found that symptoms of Covid persisted long after patient was declared Covid negative. Majority of the patients 78 patients reported dermatological symptom of hairfall along with memory loss and muscle weakness. Conclusion- This study will help the public health care providers, clinicians and the policymakers to be prepared for the symptoms faced in post COVID-19 and general public in the coming months and years. It will also throw light into the possible factors which are associated with persistent post-acute COVID-19 infection.

Objective: To comprehend the evolution and spread of the severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) virus and also to prevent the future spread of the same, sequencing and analyzing the genomic data of SARS CoV-2 are essential. The objective of the present study is to describe the scope of improvement identified by the state of Madhya Pradesh in the data flow chain and the methodology designed to address the identified shortcomings. Methods: The number of sources of sample data collection was altered as well as a series of Google Sheets were formulated as an open-source tool, to implement an efficient sample data-sharing platform. The application of the proposed tool (Google Sheets as a source of data collection and information sharing) was within the state of Madhya Pradesh, India. Result: After utilizing this mechanism, the state was able to trace more than 80% VOCs and 3341 primary contacts and was also able to communicate this result to all stakeholders without much delay. Conclusion: Based on successful implementation and results, the authors suggest widening the domain of the proposed tool to other states.