Corpus overview


Overview

MeSH Disease

Human Phenotype

Transmission

Seroprevalence
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    Successful management of the first case of SARS‐CoV‐2 infection MESHD in an Iranian HIV MESHD patient

    Authors: Rahim Raoofi; Mohammad Aref Bagherzadeh; Ahmadreza Bazmjoo; Heshmatollah Shakeri; Alireza Abbasi; Amir Abdoli

    doi:10.21203/rs.3.rs-40733/v1 Date: 2020-07-08 Source: ResearchSquare

    There are limited data regarding HIV MESHD/ AIDS MESHD associated-COVID-19 infection MESHD. This article reports a case of HIV female TRANS with an acute SARS‐CoV‐2 infection MESHD that successfully managed and treated in Iran. This study presents the clinical symptoms, diagnosis, and treatment of this case.

    How many are at increased risk of severe COVID-19 disease? Rapid global, regional and national estimates for 2020

    Authors: Andrew Clark; Mark Jit; Charlotte Warren-Gash; Bruce Guthrie; Harry HX Wang; Stewart W Mercer; Colin Sanderson; Martin McKee; Christopher Troeger; Kanyin I Ong; Francesco Checchi; Pablo Perel; Sarah Joseph; Hamish P Gibbs; Amitava Banerjee; LSHTM CMMID COVID-19 working group; Rosalind M Eggo

    doi:10.1101/2020.04.18.20064774 Date: 2020-04-22 Source: medRxiv

    Background The risk of severe COVID-19 disease is known to be higher in older individuals and those with underlying health conditions. Understanding the number of individuals at increased risk of severe COVID-19 illness, and how this varies between countries may inform the design of possible strategies to shield those at highest risk. Methods We estimated the number of individuals at increased risk of severe COVID-19 disease by age TRANS (5-year age groups TRANS), sex and country (n=188) based on prevalence SERO data from the Global Burden of Disease MESHD ( GBD MESHD) study for 2017 and United Nations population estimates for 2020. We also calculated the number of individuals without an underlying condition that could be considered at-risk because of their age TRANS, using thresholds from 50-70 years. The list of underlying conditions relevant to COVID-19 disease was determined by mapping conditions listed in GBD to the guidelines published by WHO and public health agencies in the UK and US. We analysed data from two large multimorbidity studies to determine appropriate adjustment factors for clustering and multimorbidity. Results We estimate that 1.7 (1.0 - 2.4) billion individuals (22% [15-28%] of the global population) are at increased risk of severe COVID-19 disease. The share of the population at increased risk ranges from 16% in Africa to 31% in Europe. Chronic kidney disease HP Chronic kidney disease MESHD ( CKD MESHD), cardiovascular disease MESHD ( CVD MESHD), diabetes MESHD and chronic respiratory disease MESHD ( CRD MESHD) were the most prevalent conditions in males TRANS and females TRANS aged TRANS 50+ years. African countries with a high prevalence SERO of HIV MESHD/ AIDS MESHD and Island countries with a high prevalence SERO of diabetes MESHD, also had a high share of the population at increased risk. The prevalence SERO of multimorbidity (>1 underlying conditions) was three times higher in Europe than in Africa (10% vs 3%). Conclusion Based on current guidelines and prevalence SERO data from GBD, we estimate that one in five individuals worldwide has a condition that is on the list of those at increased risk of severe COVID-19 disease. However, for many of these individuals the underlying condition will be undiagnosed or not severe enough to be captured in health systems, and in some cases the increase in risk may be quite modest. There is an urgent need for robust analyses of the risks associated with different underlying conditions so that countries can identify the highest risk groups and develop targeted shielding policies to mitigate the effects of the COVID-19 pandemic.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from Preprints.org and is updated on a daily basis (7am CET/CEST).
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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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