A public value crisis model approach to COVID-19 outbreak control in the Dominican Republic

Abstract

We sought out to evaluate the epidemiological impact of Plan Duarte Public Value Crisis Model con COVID-19 management. Methods An Interrupted Time Series Analysis based on segmented regression models was used to evaluate the impact of a lock down policy. The following segmented regression model was built: Y= β 0 + β 1 *time t + β 2 *Interventiont + β 3 *after Interventiont. Results were calculated with their 95% confidence interval (CI) and p-values set at values < 0.05 were considered significant. All statistical analyses were done by means of Stata V15.Results The initial number of new confirmed cases in the province of Duarte before the implementation of the Locking down the province policy was estimated at .45 and had a daily growth of .88 before the implementation of the policy, which was statistically significant (p = 0.000). The initial number of new confirmed cases in all the provinces except Duarte before the implementation of the Locking down the province policy was estimated at 29 and had a daily growth of 6 before the implementation of the policy, which was statistically significant (p <0.001). Conclusions The development and implementation of a collaborative public value in crisis model proved to be effective in controlling the COVID-19 pandemic in the Dominican Republic.