The consideration of infectious diseases from a mathematical point of view can reveal
possible options for epidemic control and fighting the spread of infection. However …

Time series analysis is a valuable tool in epidemiology that complements the classical
epidemiological models in two different ways: Prediction and forecast. Prediction is related …

The COVID‐19 outbreak in 2020 resulted in rapidly rising infection rates with high
associated mortality rates. In response, several epidemiological studies aimed to define …

Evidence of the benefits of greenspaces or greenness to human wellbeing in the context of
COVID-19 is fragmented and sometimes contradictory. This calls for a meta-analysis of …

The COVID-19 outbreak has taken many countless lives in the society and presents an
unprecedented public health threat, as well as a threat to food systems and workplace …

ABSTRACT Introduction: Globally, COVID-19 have impacted people's quality of life. Machine
learning have recently become popular for making predictions because of their precision …

Coronavirus is a respiratory disease which is produced by the virus SARS-CoV-2. The
symptoms of the coronavirus include flu, sore throat, common cold, cough, fatigue, and …

Monitoring COVID-19 patients and making predictions is still a difficult task, even after a few
years of a serious pandemic crisis. Moreover, it is also challenging to manage the COVID-19 …

The second wave of coronavirus has significantly impacted large parts of the world. India
also witnessed the grave burden of mortality, morbidity, and threatening post-COVID effects …

In this digital era, machine learning (ML) is becoming more common in the healthcare
industry. It plays many essential roles in the medical field including clinical forecasting …