Publications on COVID-19 and Migration Health

Repository of Research Publications on COVID-19 and Migration Health

This section features an interactive, open-source, searchable (and downloadable) repository of research publications based on a mapping exercise involving the quantitative assessment of a set of published scientific articles (i.e. bibliometric analysis) on COVID-19 in relation to migrants, migration, and human mobility. 

 

Searching and Navigating the Database

  • Enter keyword/s in the search box on the left-hand sidebar to find publications of relevance to your specific interest.
  • Use the filter options on the left-hand sidebar to search through available publications (i.e., by theme/sub-theme; region/country of coverage; publication type; author/s; year of publication).
  • The map provides an overview of the countries covered in the research publications. Hover over the map to see the number of publications in a specific country or region.

The results of your search can be downloaded as an “XLS” file. Search results will also be listed at the bottom of the page. Selecting the title of a specific publication will lead to a “download” link or a link to the website where the original document is housed.

Found 3 Publication/s

Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2

Year:
Document Type: Article
Language: English
Author/s: Lemey P., Hong S.L., Hill V., Baele G., Poletto C., Colizza V., O’Toole Á., McCrone J.T., Andersen K.G., Worobey M., Nelson M.I., Rambaut A., Suchard M.A.
Migration angle: Travelers
Source Title: Nature Communications
Publisher: Nature Research
Theme > Subtheme: Disease transmission
Region/Country (by coverage): Iran (Islamic Republic of)

Spatiotemporal bias in genome sampling can severely confound discrete trait phylogeographic inference. This has impeded our ability to accurately track the spread of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, despite the availability of unprecedented numbers of SARS-CoV-2 genomes. Here, we present an approach to integrate individual travel history data in Bayesian phylogeographic inference and apply it to the early spread of SARS-CoV-2. We demonstrate that including travel… Read more

Importation and early local transmission of covid-19 in Brazil, 2020

Year:
Document Type: Article
Language: English
Author/s: de Jesus J.G., Sacchi C., Candido D.D.S., Claro I.M., Sales F.C.S., Manuli E.R., da Silva D.B.B., de Paiva T.M., Pinho M.A.B., Santos K.C.O., Hill S.C., Aguiar R.S., Romero F., Dos Santos F.C.P., Gonçalves C.R., Timenetsky M.D.C., Quick J., Croda J.H.R., De Oliveira W., Rambaut A., Pybus O.G., Loman N.J., Sabino E.C., Faria N.R.
Migration angle: Travelers
Source Title: Revista do Instituto de Medicina Tropical de Sao Paulo
Publisher: Instituto de Medicina Tropical de Sao Paulo
Theme > Subtheme: Disease transmission
Region/Country (by coverage): Brazil

We conducted the genome sequencing and analysis of the first confirmed COVID-19 infections in Brazil. Rapid sequencing coupled with phylogenetic analyses in the context of travel history corroborate multiple independent importations from Italy and local spread during the initial stage of COVID-19 transmission in Brazil. © 2020, Instituto de Medicina Tropical de Sao Paulo. All rights reserved.

Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China

Year:
Document Type: Article
Language: English
Author/s: Lu J., du Plessis L., Liu Z., Hill V., Kang M., Lin H., Sun J., François S., Kraemer M.U.G., Faria N.R., McCrone J.T., Peng J., Xiong Q., Yuan R., Zeng L., Zhou P., Liang C., Yi L., Liu J., Xiao J., Hu J., Liu T., Ma W., Li W., Su J., Zheng H., Peng B., Fang S., Su W., Li K., Sun R., Bai R., Tang X., Liang M., Quick J., Song T., Rambaut A., Loman N., Raghwani J., Pybus O.G., Boesecke C.
Migration angle: Mobility
Source Title: Cell
Publisher: Cell Press
Theme > Subtheme: Disease epidemiology and mathematical modelling, Disease distribution, Disease etiology
Region/Country (by coverage): China

Coronavirus disease 2019 (COVID-19) is caused by SARS-CoV-2 infection and was first reported in central China in December 2019. Extensive molecular surveillance in Guangdong, China's most populous province, during early 2020 resulted in 1,388 reported RNA-positive cases from 1.6 million tests. In order to understand the molecular epidemiology and genetic diversity of SARS-CoV-2 in China, we generated 53 genomes from infected individuals in Guangdong using a combination of metagenomic… Read more