Bi-logistic model applied to the first 1015 Covid-19 cases in indigenous people of State of Amapá and north of Pará
Keywords:
Coronavirus pandemic, Indigenous Health, Statistic, Bi-Logistic Model, COVID-19 case in IndigenousAbstract
In this article, we present the Bi-logistic growth model whose objective was to model the temporal trend of cases of COVID-19 in indigenous people in the State of Amapá and north of Pará. The mathematical model applied when observed two inflection points in the evolution of the disease over time. It has six parameters, where K1 and K2 are the limiting values of the phenomenon, α1 and α2 are the growth rates in each block, and β1 and β2 are the inflection points at the time the disease decelerates. The model obtained statistical significance (p <0.01) and indicated May 12 and July 22, 2020, as dates when the disease decelerated in the indigenous population surveyed. The Bi-logistic model has good adherence to model cases of COVID-19 that present two distinct periods of growth and that immediate interventions are necessary to contain COVID-19 in indigenous land