. 2020 Jan 8;5:189–196. doi: 10.1016/j.idm.2020.01.002

Table 1.

Algorithm for obtaining estimates.

Step	Input	Method	Output
1.	vector $c$ : $c_{1}$ , $c_{2}$ , … $c_{n}$ (number of cases)	cumulative sum	vector $G$ : number of cumulative cases $G_{1}$ , $G_{2}$ , … $G_{n}$
2.	vectors $c$ , $G$	MCMC simulation	posterior distribution of r and K and forecasting values $c_{n + 1}$ , $c_{n + 2}$ , …
3.	posterior distribution of parameters r, K	summary functions	Estimates of mean, median and intervals of credibility
4.	$\overline{r}$	Equation (7)	Estimate of $R_{0}$
5.	$\overline{r}$ , $\overline{K}$ , $c_{n}$ , $G_{n}$	Equation (6)	Estimate $t_{c}$