Assessing the impact of non-pharmaceutical interventions (NPIs) and BCG vaccine cross-protection in the transmission dynamics of SARS-CoV-2 in eastern Africa.
Bayesian hierarchical model
COVID-19
Epidemic trend
Time varying reproduction number
Journal
BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768
Informations de publication
Date de publication:
04 Sep 2022
04 Sep 2022
Historique:
received:
05
05
2022
accepted:
10
08
2022
entrez:
4
9
2022
pubmed:
5
9
2022
medline:
8
9
2022
Statut:
epublish
Résumé
The outbreak of the novel coronavirus disease 2019 (COVID-19) is still affecting African countries. The pandemic presents challenges on how to measure governmental, and community responses to the crisis. Beyond health risks, the socio-economic implications of the pandemic motivated us to examine the transmission dynamics of COVID-19 and the impact of non-pharmaceutical interventions (NPIs). The main objective of this study was to assess the impact of BCG vaccination and NPIs enforced on COVID-19 case-death-recovery counts weighted by age-structured population in Ethiopia, Kenya, and Rwanda. We applied a semi-mechanistic Bayesian hierarchical model (BHM) combined with Markov Chain Monte Carlo (MCMC) simulation to the age-structured pandemic data obtained from the target countries. The estimated mean effective reproductive number (R
Identifiants
pubmed: 36059028
doi: 10.1186/s13104-022-06171-4
pii: 10.1186/s13104-022-06171-4
pmc: PMC9440862
doi:
Substances chimiques
BCG Vaccine
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
283Subventions
Organisme : BioInnovate Africa, International Centre of Insect Physiology and Ecology (icipe), The European Union; the Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Development and Cooperation (SDC); the Federal Democratic Republic
ID : B8401F
Informations de copyright
© 2022. The Author(s).
Références
Int J Infect Dis. 2020 Sep;98:180-186
pubmed: 32562846
Math Biosci. 2020 Nov;329:108466
pubmed: 32920095
Harv Data Sci Rev. 2020;2020(Suppl 1):
pubmed: 32607504
Nature. 2020 Aug;584(7820):257-261
pubmed: 32512579
Lancet Infect Dis. 2020 Jun;20(6):669-677
pubmed: 32240634
Proc Natl Acad Sci U S A. 2020 Jul 28;117(30):17720-17726
pubmed: 32647056
BMC Med. 2019 Aug 22;17(1):164
pubmed: 31438953
Nat Med. 2021 Mar;27(3):447-453
pubmed: 33531710
PLoS One. 2021 Mar 25;16(3):e0249037
pubmed: 33765088
PLoS Med. 2011 Mar;8(3):e1001012
pubmed: 21445325
J Glob Health. 2020 Dec;10(2):020348
pubmed: 33110546
New Microbes New Infect. 2020 Nov;38:100817
pubmed: 33230417
BMC Infect Dis. 2022 Jun 9;22(1):531
pubmed: 35681129
Emerg Infect Dis. 2019 Jan;25(1):1-4
pubmed: 30560777
EClinicalMedicine. 2020 Aug;25:100464
pubmed: 32838237
Front Med (Lausanne). 2020 May 06;7:169
pubmed: 32435645
Nat Rev Immunol. 2021 Aug;21(8):469-470
pubmed: 34168345
Proc Natl Acad Sci U S A. 2020 Oct 13;117(41):25207-25208
pubmed: 32994348
Lancet Infect Dis. 2020 Aug;20(8):911-919
pubmed: 32353347
Stat Med. 2022 Jun 15;41(13):2317-2337
pubmed: 35224743
Trop Med Int Health. 2021 Jan;26(1):2-13
pubmed: 33012053
BMC Infect Dis. 2021 Jun 7;21(1):533
pubmed: 34098885
Proc Natl Acad Sci U S A. 2020 Oct 13;117(41):25205-25206
pubmed: 32994349
J Med Internet Res. 2020 Sep 3;22(9):e21419
pubmed: 32784190