Impact of covid-19 measures on children infection related hospitalization. estimation of causal inference from observational data, using the google causal impact, a bayesian structural time-series model

Author : Mohammed shahabuddin

Keyword : Positive impact of covid-19; covid-19 in children; covid-19 infection; corona in children; structural bayesian time - series model; forecasting; google causal impact

Subject : Microbiology

Article Type : Original article (research)

DOI : 10.31080/asmi.2020.04.0750

Article File : Full Text PDF

Abstract : Introduction: Although covid-19 has numerous adverse effects on children, few beneficial effects have been observed such as adapting to learn in a new digital environment, coming more closer to family, creating a bond of love, affection among the family members, and awareness of a novel disease. The aim of our study to examine the causal impact of covid-19 measures as factual probability and the counterfactual probability for average number of pediatric admission due to Covid-19 measures, using the Google

Article by : Mohammed Shahab uddin

Article add date : 2021-01-09


How to cite : Mohammed shahabuddin. (2021-January-09). Impact of covid-19 measures on children infection related hospitalization. estimation of causal inference from observational data, using the google causal impact, a bayesian structural time-series model. retrieved from https://openacessjournal.com/abstract/541