2022
DOI: 10.1016/j.isatra.2021.01.029
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A compartmental epidemic model incorporating probable cases to model COVID-19 outbreak in regions with limited testing capacity

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Cited by 10 publications
(5 citation statements)
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“…Figure 4 shows that in general the estimated R t with suspected cases included is slightly different from the one without suspected cases. Due to a lower number of suspected cases in Jakarta than other provinces, such as West Java province (see [10]), the estimation of R t in Jakarta gives almost similar results. From the third week of May until the first week of June 2020, however, there was a significant jump in the number of suspected cases.…”
Section: Evaluation Of the Large Scale Social Restriction (Lssr)mentioning
confidence: 85%
“…Figure 4 shows that in general the estimated R t with suspected cases included is slightly different from the one without suspected cases. Due to a lower number of suspected cases in Jakarta than other provinces, such as West Java province (see [10]), the estimation of R t in Jakarta gives almost similar results. From the third week of May until the first week of June 2020, however, there was a significant jump in the number of suspected cases.…”
Section: Evaluation Of the Large Scale Social Restriction (Lssr)mentioning
confidence: 85%
“…Furthermore from (5), for S(0), I(0) > 0 the solutions S(k) and I(k) will remain bounded. See detailed explanation in [11]. Theorem 3.2.…”
Section: Mathematical Modelmentioning
confidence: 99%
“…The Extended Kalman Filter has been used to estimate the parameter values and the reproduction number [28][29][30]. We estimate the reproduction number by applying the Extended Kalman Filter (EKF) to the discrete-time stochastic augmented compartmental as given in Model (9).…”
Section: Extended Kalman Filtermentioning
confidence: 99%