Spatiotemporal dynamics of the COVID-19 pandemic in the State of Kuwait.

ABSTRACT:

Objectives

Prompt understanding of the temporal and spatial patterns of the COVID-19 pandemic on a national level is a critical step for the timely allocation of surveillance resources. Therefore, this study explored the temporal and spatiotemporal dynamics of the COVID-19 pandemic in Kuwait using daily confirmed case data collected between the 23 February and 07 May 2020.

Methods

The pandemic progression was quantified using the time-dependent reproductive number (R_(t)). The spatiotemporal scan statistic model was used to identify local clustering events. Variability in transmission dynamics was accounted for within and between two socioeconomic classes: citizens-residents and migrant workers.

Results

The pandemic size in Kuwait continues to grow (R_(t

SUBMITTER: Alkhamis MA 

PROVIDER: S-EPMC7326444 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature