Parameter Estimation and Sensitivity Analysis of Malaria Model

Fatmawati, Utami Dyah Purwati, Jonner Nainggolan

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012039
JournalJournal of Physics: Conference Series
Volume1490
Issue number1
DOIs
Publication statusPublished - 9 Jun 2020
Event5th International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2019 - Surabaya, Indonesia
Duration: 19 Oct 2019 → …

Fingerprint

Dive into the research topics of 'Parameter Estimation and Sensitivity Analysis of Malaria Model'. Together they form a unique fingerprint.

Cite this