Main Article Content
In this paper, the mathematical model used is the host-vector model for transmission on of dengue hemorrhagic fever where the host population consists of three compartments, namely susceptible host, infected, and recovered, while the vector population consists of two compartments, namely susceptible vector and infected vector. From this model, an estimate of the basic reproduction number will be constructed with the assumption that the number or humans and mosquitoes infected with the dengue virus grows exponentially with the same growth rate. Applications using field data in the City of Bima obtained an basic reproduction number estimates of . Because the estimated values for the basic reproduction number are greater than one, it illustrates that the spread of dengue hemorrhagic fever in Bima City from 2018 to 2020 is categorized as an epidemic.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The author who submits the manuscript must understand and agree that if accepted for publication, the copyright of the article belongs to JICON and Nusa Cendana University as the journal publisher. Copyright (copyright) includes the exclusive right to reproduce and provide articles in all forms and media, including reprints, photographs, microfilm and any other similar reproductions, as well as translations. The author has the right for the following:
1. reproduce all or part of published material for the author's own use as classroom teaching materials or oral presentation materials in various forums;
2. reuse part or all of the material as compilation material for the author's written work;
2. make copies of published material for distribution within the institution where the author works.
JICON and Nusa Cendana University and Editors make every effort to ensure that no data, opinion or statement is wrong or misleading to be published in this journal. The content of articles published on JICON is the sole and exclusive responsibility of their respective authors.
 M. Z. Ndii, R. I. Hickson, D. Allingham, and G. N. Mercer, “Modelling the transmission dynamics of dengue in the presence of Wolbachia,” Math. Biosci., vol. 262, pp. 157–166, Apr. 2015, doi: 10.1016/j.mbs.2014.12.011.
 G. Chowell et al., “Estimation of the reproduction number of dengue fever from spatial epidemic data,” Math. Biosci., vol. 208, no. 2, pp. 571–589, Aug. 2007, doi: 10.1016/j.mbs.2006.11.011.
 M. K. Enduri and S. Jolad, “Estimation of reproduction number and non stationary spectral analysis of dengue epidemic,” Math. Biosci., vol. 288, pp. 140–148, Jun. 2017, doi: 10.1016/j.mbs.2017.03.007.
 A. K. Supriatna, “Estimating the basic reproduction number of dengue transmission during 2002-2007 outbreaks in Bandung, Indonesia,” Dec. 2009, [Online]. Available: https://apps.who.int/iris/handle/10665/170937.
 R. P. Sanches and E. Massad, “A comparative analysis of three different methods for the estimation of the basic reproduction number of dengue,” Infect. Dis. Model., vol. 1, no. 1, pp. 88–100, Oct. 2016, doi: 10.1016/j.idm.2016.08.002.
 R. Hurint, M. Lobo, and M. Z. Ndii, “Analisis Sensitivitas Model Epidemi SEIR,” Natural Science: Journal of Science and Technology, vol. 6, no. 1, 2017.
 Y. A. Adi, F. Adi-Kusumo, L. Aryati, and M. S. Hardianti, “A Dynamic Model of PI3K/AKT Pathways in Acute Myeloid Leukemia,” J. Appl. Math., vol. 2018, p. 2983138, Nov. 2018, doi: 10.1155/2018/2983138.
 Y. A. Adi, “A Within-host Tuberculosis Model Using Optimal Control,” Jurnal Teori dan Aplikasi Matematika, vol. 5, no. 1, 2020.
 M. Z. Ndii, Pemodelan Matematika Dinamika Populasi Dan Penyebaran Penyakit Teori, Aplikasi, Dan Numerik. Deepublish, 2018.
 Jafaruddin, S. W. Indratno, N. Nuraini, A. K. Supriatna, and E. Soewono, “Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection,” Comput. Math. Methods Med., vol. 2015, p. 206131, Aug. 2015, doi: 10.1155/2015/206131.
 J. Ma, “Estimating epidemic exponential growth rate and basic reproduction number,” Infect. Dis. Model., vol. 5, pp. 129–141, Jan. 2020, doi: 10.1016/j.idm.2019.12.009.
 C. Favier et al., “Early determination of the reproductive number for vector-borne diseases: the case of dengue in Brazil,” Trop. Med. Int. Health, vol. 11, no. 3, pp. 332–340, Mar. 2006, doi: 10.1111/j.1365-3156.2006.01560.x.
 Dinas Kesehatan Kota Bima, “Data Demam Berdarah,” Bima, 2020.
 E. M. Banni, M. A. Kleden, M. Lobo, and M. Z. Ndii, “Estimasi Reproduction Number Model Matematika Penyebaran Malaria di Sumba Tengah, Indonesia,” Jambura Journal of Biomathematics, vol. 2, no. 1, pp. 13–19, 2021.