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Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda.
Semakula, Muhammed; Niragire, François; Nsanzimana, Sabin; Remera, Eric; Faes, Christel.
  • Semakula M; I-BioStat, Hasselt University, Hasselt, Belgium. semakulam@gmail.com.
  • Niragire F; College of Business and Economics, Centre of excellence in Data Science, Bio-statistics, University of Rwanda, Kigali, Kigali, Rwanda. semakulam@gmail.com.
  • Nsanzimana S; Rwanda Biomedical Centre, Ministry of Health, Kigali, Rwanda. semakulam@gmail.com.
  • Remera E; Department of Applied Statistics, University of Rwanda, Kigali, Kigali, Rwanda.
  • Faes C; Rwanda Biomedical Centre, Ministry of Health, Kigali, Rwanda.
BMC Public Health ; 23(1): 930, 2023 05 23.
Artículo en Inglés | MEDLINE | ID: covidwho-20242648
ABSTRACT

INTRODUCTION:

Africa 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.

RESULTS:

The 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.

CONCLUSION:

The 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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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Epidemias / Enfermedades Transmisibles Importadas / COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional Límite: Humanos País/Región como asunto: Africa Idioma: Inglés Revista: BMC Public Health Asunto de la revista: Salud Pública Año: 2023 Tipo del documento: Artículo País de afiliación: S12889-023-15888-1

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Epidemias / Enfermedades Transmisibles Importadas / COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional Límite: Humanos País/Región como asunto: Africa Idioma: Inglés Revista: BMC Public Health Asunto de la revista: Salud Pública Año: 2023 Tipo del documento: Artículo País de afiliación: S12889-023-15888-1