Meta-analysis of several epidemic characteristics of COVID-19

As the COVID-19 pandemic has strongly disrupted people's daily work and life, a great amount of scientific research has been conducted to understand the key characteristics of this new epidemic. In this manuscript, we focus on four crucial epidemic metrics with regard to the COVID-19, namely the basic reproduction number, the incubation period, the serial interval and the epidemic doubling time. We collect relevant studies based on the COVID-19 data in China and conduct a meta-analysis to obtain pooled estimates on the four metrics. From the summary results, we conclude that the COVID-19 has stronger transmissibility than SARS, implying that stringent public health strategies are necessary.

Errataetall:

UpdateIn: J Data Sci. 2020 Jul;18(3):536-549. - PMID 33088292

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - year:2020

Enthalten in:

medRxiv : the preprint server for health sciences - (2020) vom: 03. Juni

Sprache:

Englisch

Beteiligte Personen:

Zhang, Panpan [VerfasserIn]
Wang, Tiandong [VerfasserIn]
Xie, Sharon X [VerfasserIn]

Links:

Volltext

Themen:

Basic reproduction number
Epidemic doubling time
Incubation period
Meta-analysis
Preprint
Sensitivity analysis
Serial interval

Anmerkungen:

Date Revised 11.02.2024

published: Electronic

UpdateIn: J Data Sci. 2020 Jul;18(3):536-549. - PMID 33088292

Citation Status PubMed-not-MEDLINE

doi:

10.1101/2020.05.31.20118448

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM311561535