An agent-based epidemic model for dengue simulation in the Philippines

Miksch, Florian; Pichler, Peter; Espinosa, Kurt Junshean; Casera, Katrina S. T.; Navarro, Aldrin N.; Bicher, Martin

doi:10.1109/wsc.2015.7408470

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…Another ABMS model for a vector-borne disease is presented by (Miksch et al, 2016), in which they implement a model to simulate an epidemic in the Philippines in 2010. The period of the simulation is 4 months and they include some climate characteristics and consider rainy seasons, concluding that the mosquito population presents many changes between rainy and dry seasons and this has a huge impact on the dynamics of the epidemic.…”

Section: State Of the Artmentioning

confidence: 99%

Modeling the propagation of the Dengue, Zika and Chikungunya virus in the city of Bello using Agent-Based Modeling and Simulation

Carrion¹,

Zuluaga²,

Orozco³

et al. 2021

Preprint

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Agent-Based Models (ABM) have become a very useful tool to simulate the propagation of infectious diseases. To enhance the scope of these simulation models, some authors have combined ABMs with ODE models which are called Hybrid ABMs, and allows the simulation of models that demand a very high computational cost. In the present project, the main approach is to develop hybrid ABMs to understand the transmission dynamics of vector-borne diseases such as Dengue, Zika, and Chikungunya considering some geospatial characteristics of the city of Bello, Colombia. Some assumptions were considered to develop the computational model to understand and verify if the transmission dynamics were happening according to their theoretical behavior. The results obtained were satisfactory, and for future work, the idea is to integrate more components and make the model more realistic.

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Section: State Of the Artmentioning

confidence: 99%

Modeling the propagation of the Dengue, Zika and Chikungunya virus in the city of Bello using Agent-Based Modeling and Simulation

Carrion¹,

Zuluaga²,

Orozco³

et al. 2021

Preprint

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“…In Cebu City, Miksch et al [57], used modeling and simulation techniques to understand how dengue spread in a community in 2015. The research team developed an agent-based model for simulating dengue epidemics which modeled human and mosquito agents with detailed agent's behavior, mosquito biting rules, and transmissions.…”

Section: Public Health -Emerging and Re-emerging Issuesmentioning

confidence: 99%

The Evolution of Entomological Research with Focus on Emerging and Re-emerging Mosquito-Borne Infections in the Philippines

Salazar¹,

Gimutao²

2018

Public Health - Emerging and Re-Emerging Issues

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This paper presented previous and current research efforts for medically important mosquitoes that serve as vectors of emerging and re-emerging diseases in the Philippines, in light of identifying the research gap that exists in the field of public health entomology in the country. This extensive review of the past and current research studies with regard to medical entomology and vector control also attempted to provide proper direction and insights for effective implementation of the country's vector control programs. All research studies conducted in the Philippines from 1958 up to the present that are related to the paper's interest and are available on Philippines' Department of Science and Technology and RITM databases were tracked. Results from this analysis imply that studies on public health entomology in the Philippines have evolved and have gone through various stages of development over time. However, the magnitude of research on medically important mosquitoes in the country is still insufficient for it to contribute comprehensively to integrated methods of vector management and totally eliminate mosquito-borne infections in the Philippines. It is recommended for researchers to work on the continuity of vector researches and explore further the diversity of the entomological aspects of the control of vector-borne diseases.

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Simulation modelling techniques for managing epidemic outbreak: A review, classification schemes, and meta-analysis

Singh

Mathirajan

2022

Journal of Simulation

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An agent-based epidemic model for dengue simulation in the Philippines

Cited by 5 publications

References 2 publications

Modeling the propagation of the Dengue, Zika and Chikungunya virus in the city of Bello using Agent-Based Modeling and Simulation

Modeling the propagation of the Dengue, Zika and Chikungunya virus in the city of Bello using Agent-Based Modeling and Simulation

The Evolution of Entomological Research with Focus on Emerging and Re-emerging Mosquito-Borne Infections in the Philippines

Simulation modelling techniques for managing epidemic outbreak: A review, classification schemes, and meta-analysis

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