Publications by authors named "Ajai Kumar Pandey"

There has been a long-lasting impact of the lockdown imposed due to COVID-19 on several fronts. One such front is climate which has seen several implications. The consequences of climate change owing to this lockdown need to be explored taking into consideration various climatic indicators.

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COVID-19 cases in India have been steadily increasing since January 30, 2020 and have led to a government-imposed lockdown across the country to curtail community transmission with significant impacts on societal systems. Forecasts using mathematical-epidemiological models have played and continue to play an important role in assessing the probability of COVID-19 infection under specific conditions and are urgently needed to prepare health systems for coping with this pandemic. In many instances, however, access to dedicated and updated information, in particular at regional administrative levels, is surprisingly scarce considering its evident importance and provides a hindrance for the implementation of sustainable coping strategies.

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Article Synopsis
  • - Researchers utilize various mathematical models to predict the progression of COVID-19, focusing on the effects of non-pharmaceutical interventions, but these forecasts carry large uncertainties due to data quality and differing local conditions.
  • - The study conducts comparative analyses of actual COVID-19 trends in ten heavily affected countries against two model types (SIR and Holt-Winters) to understand how systematic biases affect model accuracy.
  • - Results show significant variations in forecasting performance across countries, highlighting that individual model predictions are highly sensitive to data subsets and time frames used in the analyses.
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Background: Recent years have shown an alarming rise in the incidence of diabetes mellitus (DM) all over the world. The present management of DM it not satisfactory. Hence, alternative systems of medicine are also being explored.

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