Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40419
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSEMAKULA, Muhammed-
dc.contributor.authorNiragire, Francois-
dc.contributor.authorNsanzimana, Sabin-
dc.contributor.authorRemera, Eric-
dc.contributor.authorFAES, Christel-
dc.date.accessioned2023-06-19T08:47:11Z-
dc.date.available2023-06-19T08:47:11Z-
dc.date.issued2023-
dc.date.submitted2023-06-16T10:18:50Z-
dc.identifier.citationBMC PUBLIC HEALTH, 23 (1) (Art N° 930)-
dc.identifier.urihttp://hdl.handle.net/1942/40419-
dc.description.abstractIntroductionAfrica was threatened by the coronavirus disease 2019 (COVID-19) due to the limited health care infrastructure. Rwanda has consistently used non-pharmaceutical strategies, such as lockdown, curfew, and enforcement of prevention measures to control the spread of COVID-19. Despite the mitigation measures taken, the country has faced a series of outbreaks in 2020 and 2021.In this paper, we investigate the nature of epidemic phenomena in Rwanda and the impact of imported cases on the spread of COVID-19 using endemic-epidemic spatio-temporal models. Our study provides a framework for understanding the dynamics of the epidemic in Rwanda and monitoring its phenomena to inform public health decision-makers for timely and targeted interventions.ResultsThe findings provide insights into the effects of lockdown and imported infections in Rwanda's COVID-19 outbreaks. The findings showed that imported infections are dominated by locally transmitted cases. The high incidence was predominant in urban areas and at the borders of Rwanda with its neighboring countries. The inter-district spread of COVID-19 was very limited due to mitigation measures taken in Rwanda.ConclusionThe study recommends using evidence-based decisions in the management of epidemics and integrating statistical models in the analytics component of the health information system.-
dc.description.sponsorshipThe last author (CF) received funding from the European Union’s Horizon 2020 research and innovation programme - project EpiPose (No. 101003688)-
dc.language.isoen-
dc.publisherBMC-
dc.rightsThe Author(s) 2023. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 thislicence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.-
dc.subject.otherCOVID-19-
dc.subject.otherSpatio-temporal models-
dc.subject.otherEpidemiology-
dc.titleSpatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume23-
local.bibliographicCitation.jcatA1-
dc.description.notesSemakula, M (corresponding author), Hasselt Univ, I BioStat, Hasselt, Belgium.; Semakula, M (corresponding author), Univ Rwanda, Coll Business & Econ, Ctr Excellence Data Sci, Biostat, Kigali, Kigali, Rwanda.; Semakula, M (corresponding author), Minist Hlth, Rwanda Biomed Ctr, Kigali, Kigali, Rwanda.-
dc.description.notessemakulam@gmail.com-
local.publisher.placeCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr930-
local.type.programmeH2020-
local.relation.h2020101003688-
dc.identifier.doi10.1186/s12889-023-15888-1-
dc.identifier.pmid37221533-
dc.identifier.isi000993874800003-
local.provider.typewosris-
local.description.affiliation[Semakula, Muhammed; Faes, Christel] Hasselt Univ, I BioStat, Hasselt, Belgium.-
local.description.affiliation[Semakula, Muhammed] Univ Rwanda, Coll Business & Econ, Ctr Excellence Data Sci, Biostat, Kigali, Kigali, Rwanda.-
local.description.affiliation[Semakula, Muhammed; Nsanzimana, Sabin; Remera, Eric] Minist Hlth, Rwanda Biomed Ctr, Kigali, Kigali, Rwanda.-
local.description.affiliation[Niragire, Francois] Univ Rwanda, Dept Appl Stat, Kigali, Kigali, Rwanda.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationSEMAKULA, Muhammed; Niragire, Francois; Nsanzimana, Sabin; Remera, Eric & FAES, Christel (2023) Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda. In: BMC PUBLIC HEALTH, 23 (1) (Art N° 930).-
item.contributorSEMAKULA, Muhammed-
item.contributorNiragire, Francois-
item.contributorNsanzimana, Sabin-
item.contributorRemera, Eric-
item.contributorFAES, Christel-
crisitem.journal.eissn1471-2458-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda.pdfPublished version3.85 MBAdobe PDFView/Open
Show simple item record

WEB OF SCIENCETM
Citations

1
checked on May 8, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.