TY - JOUR
T1 - Parameter Estimation and Sensitivity Analysis of Malaria Model
AU - Fatmawati,
AU - Purwati, Utami Dyah
AU - Nainggolan, Jonner
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/6/9
Y1 - 2020/6/9
N2 - In this work, we present a model dynamic of malaria disease transmission in Papua province, Indonesia. The parameters of the model are estimated based on the monthly cumulative data of malaria cases in the Papua province in 2018. We use the least-square fitting technique to estimate the parameters. The basic reproduction number (R 0) of the model is estimated as R 0 ˜ 1.2929. Furthermore, the sensitivity analysis is done to determine the significance of the biological parameters in the disease spread. The numerical simulation indicates that the disease can be minimized by reduces the contact between human and mosquito.
AB - In this work, we present a model dynamic of malaria disease transmission in Papua province, Indonesia. The parameters of the model are estimated based on the monthly cumulative data of malaria cases in the Papua province in 2018. We use the least-square fitting technique to estimate the parameters. The basic reproduction number (R 0) of the model is estimated as R 0 ˜ 1.2929. Furthermore, the sensitivity analysis is done to determine the significance of the biological parameters in the disease spread. The numerical simulation indicates that the disease can be minimized by reduces the contact between human and mosquito.
UR - http://www.scopus.com/inward/record.url?scp=85088139014&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1490/1/012039
DO - 10.1088/1742-6596/1490/1/012039
M3 - Conference article
AN - SCOPUS:85088139014
SN - 1742-6588
VL - 1490
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012039
T2 - 5th International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2019
Y2 - 19 October 2019
ER -
