ABSTRACT
Objectives: This study aimed to compare clinical courses and outcomes between pregnant and reproductive-aged non-pregnant women with COVID-19, and to assess the vertical transmission potential of COVID-19 in pregnancy.
ABSTRACT
People's lives were significantly impacted when China underwent a self-quarantine period, spanning multiple weeks to months, due to COVID-19. The impacts of this quarantine included disruption of daily occupational habits and balance, having resulted in compromised physical and mental health. During this physical distancing period, occupational therapists in Yunnan Province of China delivered a health promotion programme using WeChat, an online platform. The main purpose of the programme was to support the redesigning of a person's lifestyle in the face of the pandemic, as well as to enable participation in occupations that foster their self-efficacy and mental wellbeing. During the self-quarantine period, the programme was accessed frequently, with viewers spanning from practicing therapists to the general public. Findings from WeChat analytics and follow up interviews with programme viewers suggested that internet-based health promotion programme can be effective in places where internet is commonly used by the general public.
ABSTRACT
The outbreak of 2019 novel coronavirus disease (COVID-19) has become a public health emergency of international concern. The purpose of this study was to propose an improved dynamic SEIR (ID-SEIR) model to predict the epidemic trends of novel COVID-19. Firstly, we obtain the values of parameters in ID-SEIR model by using the epidemic data of Wuhan as the training sample. Secondly, we predict the epidemic trends of COVID-19 for the three most serious USA, New York and Italy with our proposed ID-SEIR model, and we can apply the proposed method to predict the epidemic trends of other countries and areas. Finally, we find that the proposed ID-SEIR model established in this paper has strong reliability, which can reasonably reflect the changes in national policies and public behavior during the epidemic. Also, this model can make predictions in line with the actual development of the epidemic and provide reference for infection prevention and control.