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Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection

Estimating the basic reproductive ratio ℛ (0) of dengue fever has continued to be an ever-increasing challenge among epidemiologists. In this paper we propose two different constructions to estimate ℛ (0) which is derived from a dynamical system of host-vector dengue transmission model. The construc...

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Autores principales: Jafaruddin, Indratno, Sapto W., Nuraini, Nuning, Supriatna, Asep K., Soewono, Edy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561940/
https://www.ncbi.nlm.nih.gov/pubmed/26413140
http://dx.doi.org/10.1155/2015/206131
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author Jafaruddin,
Indratno, Sapto W.
Nuraini, Nuning
Supriatna, Asep K.
Soewono, Edy
author_facet Jafaruddin,
Indratno, Sapto W.
Nuraini, Nuning
Supriatna, Asep K.
Soewono, Edy
author_sort Jafaruddin,
collection PubMed
description Estimating the basic reproductive ratio ℛ (0) of dengue fever has continued to be an ever-increasing challenge among epidemiologists. In this paper we propose two different constructions to estimate ℛ (0) which is derived from a dynamical system of host-vector dengue transmission model. The construction is based on the original assumption that in the early states of an epidemic the infected human compartment increases exponentially at the same rate as the infected mosquito compartment (previous work). In the first proposed construction, we modify previous works by assuming that the rates of infection for mosquito and human compartments might be different. In the second construction, we add an improvement by including more realistic conditions in which the dynamics of an infected human compartments are intervened by the dynamics of an infected mosquito compartment, and vice versa. We apply our construction to the real dengue epidemic data from SB Hospital, Bandung, Indonesia, during the period of outbreak Nov. 25, 2008–Dec. 2012. We also propose two scenarios to determine the take-off rate of infection at the beginning of a dengue epidemic for construction of the estimates of ℛ (0): scenario I from equation of new cases of dengue with respect to time (daily) and scenario II from equation of new cases of dengue with respect to cumulative number of new cases of dengue. The results show that our first construction of ℛ (0) accommodates the take-off rate differences between mosquitoes and humans. Our second construction of the ℛ (0) estimation takes into account the presence of infective mosquitoes in the early growth rate of infective humans and vice versa. We conclude that the second approach is more realistic, compared with our first approach and the previous work.
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spelling pubmed-45619402015-09-27 Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection Jafaruddin, Indratno, Sapto W. Nuraini, Nuning Supriatna, Asep K. Soewono, Edy Comput Math Methods Med Research Article Estimating the basic reproductive ratio ℛ (0) of dengue fever has continued to be an ever-increasing challenge among epidemiologists. In this paper we propose two different constructions to estimate ℛ (0) which is derived from a dynamical system of host-vector dengue transmission model. The construction is based on the original assumption that in the early states of an epidemic the infected human compartment increases exponentially at the same rate as the infected mosquito compartment (previous work). In the first proposed construction, we modify previous works by assuming that the rates of infection for mosquito and human compartments might be different. In the second construction, we add an improvement by including more realistic conditions in which the dynamics of an infected human compartments are intervened by the dynamics of an infected mosquito compartment, and vice versa. We apply our construction to the real dengue epidemic data from SB Hospital, Bandung, Indonesia, during the period of outbreak Nov. 25, 2008–Dec. 2012. We also propose two scenarios to determine the take-off rate of infection at the beginning of a dengue epidemic for construction of the estimates of ℛ (0): scenario I from equation of new cases of dengue with respect to time (daily) and scenario II from equation of new cases of dengue with respect to cumulative number of new cases of dengue. The results show that our first construction of ℛ (0) accommodates the take-off rate differences between mosquitoes and humans. Our second construction of the ℛ (0) estimation takes into account the presence of infective mosquitoes in the early growth rate of infective humans and vice versa. We conclude that the second approach is more realistic, compared with our first approach and the previous work. Hindawi Publishing Corporation 2015 2015-08-25 /pmc/articles/PMC4561940/ /pubmed/26413140 http://dx.doi.org/10.1155/2015/206131 Text en Copyright © 2015 Jafaruddin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jafaruddin,
Indratno, Sapto W.
Nuraini, Nuning
Supriatna, Asep K.
Soewono, Edy
Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection
title Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection
title_full Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection
title_fullStr Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection
title_full_unstemmed Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection
title_short Estimation of the Basic Reproductive Ratio for Dengue Fever at the Take-Off Period of Dengue Infection
title_sort estimation of the basic reproductive ratio for dengue fever at the take-off period of dengue infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561940/
https://www.ncbi.nlm.nih.gov/pubmed/26413140
http://dx.doi.org/10.1155/2015/206131
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