Predictive modeling of COVID-19 death cases in Pakistan
نویسندگان
چکیده
منابع مشابه
Severity of COVID-19 in hospitalized elderly at admission, delay in hospitalization, and death from COVID-19
Background: Age is a strong risk factor for increasing the risk of severity and death from Covid-19. The risk of hospitalization for Covid-19 disease increases with age. Since the elderly constitute a large proportion of Covid-19 patients, the present study was performed to evaluate the severity of the disease in the hospitalized elderly due to Covid-19 and the delay in hospitalization and deat...
متن کاملTime Series Modeling of Coronavirus (COVID-19) Spread in Iran
Various types of Coronaviruses are enveloped RNA viruses from the Corona-viridae family and part of the Coronavirinae subfamily. This family of viruses affects neurological, gastrointestinal, hepatic, and respiratory systems. Recently, a new memb-er of this family, named Covid-19, is moving around the world. The expansion of Covid-19 carries many risks, and its control requires strict planning ...
متن کاملChest CT Findings (COVID-19), Analysis of 200 Cases (Postmortem)
Background and Objective: COVID-19 was first seen in Wuhan-China in December 2019, and became a widely- spreadepidemic and caused a terrifying life-threatening problem in most societies of the world. In Iran, a declaration was made on January 20, 2020, and all health systems were alerted of the disease threats. Materials and Methods: We collected all chest CT scans of 200 cases diagnosed as C...
متن کاملThe Role of Perceived Mental Stress in the Health of Suspected Cases of COVID-19
Background and Aim: Mental stress has always influenced behavioral responses in different life situations, so the purpose of the present study was to investigate the role of perceived mental stress in the health of persons suspected of COVID-19. Methods: This was a descriptive correlational study. The statistical population of the study was all female referrals to Sayyad Shirazi Hospital in Gor...
متن کاملDesign and implementation of a model predictive controller for the COVID-19 spread restraint in Iran
In this paper, a model is proposed based on the different levels of social restrictions for the COVID-19 spread restraint in Iran. Also, a Genetic Algorithm (GA) identifies parameters of model using reported main data from the Iranian Ministry of Health and simulated data based on proposed model. Whereas Model Predictive Control (MPC) is a popular method which has been widely used in process ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Infectious Disease Modelling
سال: 2020
ISSN: 2468-0427
DOI: 10.1016/j.idm.2020.10.011