Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda

被引:2
|
作者
Semakula, Muhammed [1 ,2 ,3 ]
Niragire, Francois [4 ]
Nsanzimana, Sabin [3 ]
Remera, Eric [3 ]
Faes, Christel [1 ]
机构
[1] Hasselt Univ, I BioStat, Hasselt, Belgium
[2] Univ Rwanda, Coll Business & Econ, Ctr Excellence Data Sci, Biostat, Kigali, Kigali, Rwanda
[3] Minist Hlth, Rwanda Biomed Ctr, Kigali, Kigali, Rwanda
[4] Univ Rwanda, Dept Appl Stat, Kigali, Kigali, Rwanda
关键词
COVID-19; Spatio-temporal models; Epidemiology; SPREAD;
D O I
10.1186/s12889-023-15888-1
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
IntroductionAfrica 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.
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页数:13
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