| Title: |
Replication Data for: SARS-CoV-2 Omicron Variant of Concern in Seychelles: Introduction and Spread |
| Authors: |
Morobe, John Mwita; Pool, Brigitte; Didon, Dwayne; Lambisia, Arnold W.; Makori, Timothy; Mohammed,Khadija S.; Ndwiga, Leonard; Mburu, Maureen W.; Moraa, Edidah; Murunga, Nickson; Musyoki, Jennifer; Moturi, Angela; Namulondo, Joyce; Tembo, Susan Z.; Ogendi, Edwin; Balde, Thierno; Dratibi, Fred A.; Ahmed, Yahaya A.; Gumede, Nicksy; Achilla, Rachel A.; Borus, Peter K.; Wanjohi, Dorcas; Tessema, Sofonias K.; Mwangangi, Joseph; Bejon, Philip; Nokes, D. James; Ochola-Oyier, Lynette Isabella; Githinji, George; Biscornet, Leon; Agoti, Charles N. |
| Contributors: |
Morobe, John Mwita |
| Publisher Information: |
Harvard Dataverse |
| Publication Year: |
2023 |
| Collection: |
Harvard Dataverse Network |
| Subject Terms: |
Medicine; Health and Life Sciences; Seychelles; Omicron; SARS-CoV-2; COVID-19 |
| Description: |
This is a replication dataset for the manuscript titled: " SARS-CoV-2 Omicron Variant of Concern in Seychelles: Introduction and Spread ." The study is part of a regional collaborative COVID-19 public health rapid response initiative overseen by WHO-AFRO and Africa-CDC do decribe the SARS-CoV-2 genomic epidemiology in Africa. Data package includes R and python scripts used to analyze data: Figure1.R - This r code plots the Seychelles government intervention levels, number of daily COVID-19 cases, the temporal patterns of SARS CoV-2 Lineages in Seychelles. Figure2.R - This r code plots the Omicron lineages phylogenetic tree of BA.1-like, BA.1-like, BA.1-like, BA.1-like lineages. Figure3.R Figure4.R - This r code plots the number of transition events between Seychelles and the rest of world. SuppFig1.R - This r code plots the number of daily COVID-19 cases from March 2020 to September 2022 and highlights the period when Omicron VOC was circulating. SuppFig2.R - This r code plots the number of transition events between discrete locations i.e within Seychelles AncestralChanges.py |
| Document Type: |
other/unknown material |
| Language: |
unknown |
| Relation: |
https://doi.org/10.7910/DVN/YA4LXD |
| DOI: |
10.7910/DVN/YA4LXD |
| Availability: |
https://doi.org/10.7910/DVN/YA4LXD |
| Accession Number: |
edsbas.D100F47D |
| Database: |
BASE |