Epidemiological and spatio-temporal characteristics of COVID-19 in Rwanda.

ABSTRACT:

Background

The coronavirus disease 2019 (COVID-19) has taken millions of lives and disrupted living standards at individual, societal, and worldwide levels, causing serious consequences globally. Understanding its epidemic curve and spatio-temporal dynamics is crucial for the development of effective public health plans and responses and the allocation of resources. Thus, we conducted this study to assess the epidemiological dynamics and spatio-temporal patterns of the COVID-19 pandemic in Rwanda.

Methods

Using the surveillance package in R software version 4.0.2, we implemented endemic-epidemic multivariate time series models for infectious diseases to analyze COVID-19 data reported by Rwanda Biomedical Center under the Ministry of Health from March 15, 2020 to January 15,

SUBMITTER: Benimana TD 

PROVIDER: S-EPMC8333025 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature