Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data
File(s) s41467-022-32812-0.pdf (2.15 MB)
Published version
Author(s)
Rhys, Inward
Parag, Kris
Faria, Nuno Miguel
Type
Journal Article
Abstract
Predicted heart age profile across 41 countries: A cross-sectional study of nationally representative surveys in six world regions
Date Issued
2022-09-23
Date Acceptance
2022-08-16
Citation
Nature Communications, 2022, 13 (5587), pp.1-14
ISSN
2041-1723
Publisher
Nature Research
Start Page
1
End Page
14
Journal / Book Title
Nature Communications
Volume
13
Issue
5587
Copyright Statement
© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Sponsor
Medical Research Council-São Paulo Research Foundation (FAPESP)
Wellcome Trust
Bill & Melinda Gates Foundation
Medical Research Council (MRC)
Identifier
https://www.nature.com/articles/s41467-022-32812-0
Grant Number
MR/S0195/1
204311/Z/16/Z
INV-034540
MR/R015600/1
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
POPULATION-DYNAMICS
GROWTH-RATES
ZIKA VIRUS
COVID-19
ESTABLISHMENT
TRANSMISSION
INFERENCE
SPREAD
BRAZIL
MODEL
Brazil
COVID-19
Genomics
Hong Kong
Humans
SARS-CoV-2
Humans
Genomics
Brazil
Hong Kong
COVID-19
SARS-CoV-2
Publication Status
Published
Date Publish Online
2022-09-23
