Articles: pandemics.
-
This study integrates the daily intercity migration data with the classic Susceptible-Exposed-Infected-Removed (SEIR) model to construct a new model suitable for describing the dynamics of epidemic spreading of Coronavirus Disease 2019 (COVID-19) in China. Daily intercity migration data for 367 cities in China were collected from Baidu Migration, a mobile-app based human migration tracking data system. Early outbreak data of infected, recovered and death cases from official source (from January 24 to February 16, 2020) were used for model fitting. ⋯ The work was completed on February 19, 2020. Our results showed that the number of infections in most cities in China would peak between mid February to early March 2020, with about 0.8%, less than 0.1% and less than 0.01% of the population eventually infected in Wuhan, Hubei Province and the rest of China, respectively. Moreover, for most cities outside and within Hubei Province (except Wuhan), the total number of infected individuals is expected to be less than 300 and 4000, respectively.
-
This is a preliminary, multicenter, retrospective cohort study, including 272 consecutive patients with COVID-19 admitted to hospitals in Buenos Aires Province, between May 15th and July 1st, 2020, included in an expanded access program to convalescent plasma. Our objectives were to analyze mortality and its independent risk factors, and to assess the occurrence of a favorable evolution, defined as hospital discharge, or stay at the ward, or transfer from ICU to ward. Patients were stratified int o 4 subgroups: admission to the ward with pneumonia and/or oxygen requirement (WARD; n = 100); ICU admission (ICU; n = 87); ICU admission with requirement of mechanical ventilation (ICU-MV; n = 56), and ICU-MV plus septic shock (ICU-MV-SS; N = 29). ⋯ No major adverse effects were recorded. The lack of a control group precluded the estimation of efficacy. However, our 26% mortality rate was higher than that of the treatment arm of clinical trials comparing plasma with usual treatment, which might be ascribed to higher proportion of patients with MV and septic shock in our cohort.
-
J Nutr Health Aging · Jan 2020
Guidance for the Prevention of the COVID-19 Epidemic in Long-Term Care Facilities: A Short-Term Prospective Study.
Guidance aiming at limiting the entry and spread of the COVID-19 have been widely communicated to Long-term Care Facilities (LTCFs). However, no clinical research has investigated their relevance. ⋯ Our study supports the relevance of guidance to prevent the entry of COVID-19, in particular the staff compartmentalization within zones, as well as the perception of the staff regarding the quality of implementation of those measures in LTCFs.
-
Arch Acad Emerg Med · Jan 2020
Daily Situation Report on Coronavirus disease (COVID-19) in Iran; March 23, 2020.
After detection of the first confirmed cases of COVID-19 in Iran, the National Committee on COVID-19 Epidemiology in Ministry of Health and Medical Education was established. This Committee is official source of gathering, analyzing, and reporting the COVID-19 data in Iran. The data of all sources in the country including, medical care monitoring center (MCMC), Hospitals' Information Systems (HIS), Laboratory portal, the data of the center for communicable disease control (MOH), as well as the data from community health centers are integrated and used in this regards. This factsheet contain daily situation report on coronavirus disease (covid-19) in Iran; March 23, 2020.
-
Front Public Health · Jan 2020
Analysis of COVID-19 Cases' Spatial Dependence in US Counties Reveals Health Inequalities.
On March 13, 2020, the World Health Organization (WHO) declared the 2019 coronavirus disease (COVID-19) caused by the novel coronavirus SARS-CoV2 a pandemic. Since then the virus has infected over 9.1 million individuals and resulted in over 470,000 deaths worldwide (as of June 24, 2020). Here, we discuss the spatial correlation between county population health rankings and the incidence of COVID-19 cases and COVID-19 related deaths in the United States. ⋯ This study showed significant but weak spatial autocorrelation between the number of intensive care unit beds and COVID-19 cases (Moran I = 0.08, p < 0.0001) and deaths (Moran I = 0.15, p < 0.0001), respectively. These findings provide more detail into the interplay between the infectious disease and healthcare-related characteristics of the population. Only by understanding these relationships will it be possible to mitigate the rate of spread and severity of the disease.