Model Simulation for the Spread of Rabies in Sarawak, Malaysia

There is a growing concern over the ongoing rabies epidemic in Sarawak that has remain unresolved ever since the outbreak began in July 2017. As of today, there has been 18 positive human rabies cases reported, which includes 17 fatalities, and one survivor who is now on life support after a severe...

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Main Authors: Nur Asheila, Abdul Taib, Jane, Labadin, Phang, Piau
Format: Article
Language:English
Published: INSIGHT - Indonesian Society for Knowledge and Human Development 2019
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Online Access:http://ir.unimas.my/id/eprint/46731/1/Model%20Simulation.pdf
http://ir.unimas.my/id/eprint/46731/
https://ijaseit.insightsociety.org/index.php/ijaseit/article/view/10230
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spelling my.unimas.ir-467312024-11-27T07:41:42Z http://ir.unimas.my/id/eprint/46731/ Model Simulation for the Spread of Rabies in Sarawak, Malaysia Nur Asheila, Abdul Taib Jane, Labadin Phang, Piau QA Mathematics There is a growing concern over the ongoing rabies epidemic in Sarawak that has remain unresolved ever since the outbreak began in July 2017. As of today, there has been 18 positive human rabies cases reported, which includes 17 fatalities, and one survivor who is now on life support after a severe neurological complications. Subsequently, the death rate now stands at approximately 94%. This paper is a preliminary report on the simulation of rabies transmission dynamics in Sarawak. At present, research is still lacking on the disease dynamics of rabies in Malaysia particularly in the state of Sarawak. We propose here a deterministic, compartmental model with SEIRS framework to fit actual data on the number of human infected rabies cases in Sarawak from June 2017 to January 2019. The simulation predicts that rabies in Sarawak will persist even with the current outbreak management and control efforts. Further, sensitivity analysis showed that dog vaccination rate is the most influential parameter and the basic reproduction number is estimated to be higher than 1. Henceforth, there is a need to increase the access to dog vaccines especially in remote rural areas with lack of health facilities. Our findings also suggest that controlling dog births could prevent the spread of rabies from perpetuating in the state. Neutering or using other fertility control methods would reduce the input of new susceptible domestic dogs into the population while Trap-Neuter-Vaccinate-Release (TNVR) method can be implemented to control new births of free-roaming strays. In summary, increasing the coverage of dog vaccination and reducing the number newborn dogs would be the more effective strategies to manage the current rabies outbreak in Sarawak. INSIGHT - Indonesian Society for Knowledge and Human Development 2019 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46731/1/Model%20Simulation.pdf Nur Asheila, Abdul Taib and Jane, Labadin and Phang, Piau (2019) Model Simulation for the Spread of Rabies in Sarawak, Malaysia. International Journal on Advanced Science, Engineering and Information Technology, 9 (5). pp. 1739-1745. ISSN 2460-6952 https://ijaseit.insightsociety.org/index.php/ijaseit/article/view/10230 doi:10.18517/ijaseit.9.5.10230.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Nur Asheila, Abdul Taib
Jane, Labadin
Phang, Piau
Model Simulation for the Spread of Rabies in Sarawak, Malaysia
description There is a growing concern over the ongoing rabies epidemic in Sarawak that has remain unresolved ever since the outbreak began in July 2017. As of today, there has been 18 positive human rabies cases reported, which includes 17 fatalities, and one survivor who is now on life support after a severe neurological complications. Subsequently, the death rate now stands at approximately 94%. This paper is a preliminary report on the simulation of rabies transmission dynamics in Sarawak. At present, research is still lacking on the disease dynamics of rabies in Malaysia particularly in the state of Sarawak. We propose here a deterministic, compartmental model with SEIRS framework to fit actual data on the number of human infected rabies cases in Sarawak from June 2017 to January 2019. The simulation predicts that rabies in Sarawak will persist even with the current outbreak management and control efforts. Further, sensitivity analysis showed that dog vaccination rate is the most influential parameter and the basic reproduction number is estimated to be higher than 1. Henceforth, there is a need to increase the access to dog vaccines especially in remote rural areas with lack of health facilities. Our findings also suggest that controlling dog births could prevent the spread of rabies from perpetuating in the state. Neutering or using other fertility control methods would reduce the input of new susceptible domestic dogs into the population while Trap-Neuter-Vaccinate-Release (TNVR) method can be implemented to control new births of free-roaming strays. In summary, increasing the coverage of dog vaccination and reducing the number newborn dogs would be the more effective strategies to manage the current rabies outbreak in Sarawak.
format Article
author Nur Asheila, Abdul Taib
Jane, Labadin
Phang, Piau
author_facet Nur Asheila, Abdul Taib
Jane, Labadin
Phang, Piau
author_sort Nur Asheila, Abdul Taib
title Model Simulation for the Spread of Rabies in Sarawak, Malaysia
title_short Model Simulation for the Spread of Rabies in Sarawak, Malaysia
title_full Model Simulation for the Spread of Rabies in Sarawak, Malaysia
title_fullStr Model Simulation for the Spread of Rabies in Sarawak, Malaysia
title_full_unstemmed Model Simulation for the Spread of Rabies in Sarawak, Malaysia
title_sort model simulation for the spread of rabies in sarawak, malaysia
publisher INSIGHT - Indonesian Society for Knowledge and Human Development
publishDate 2019
url http://ir.unimas.my/id/eprint/46731/1/Model%20Simulation.pdf
http://ir.unimas.my/id/eprint/46731/
https://ijaseit.insightsociety.org/index.php/ijaseit/article/view/10230
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score 13.223943