IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v188y2021icp254-267.html
   My bibliography  Save this article

Personal protective strategies for dengue disease: Simulations in two coexisting virus serotypes scenarios

Author

Listed:
  • Brito da Cruz, Artur M.C.
  • Rodrigues, Helena Sofia

Abstract

Dengue fever is a common mosquito-borne viral infectious disease in the world and is widely spread, especially in tropical and subtropical regions. At this moment, one of the best ways to fight the disease is to prevent mosquito bites. In this study, we present a mathematical model that carefully considers personal protection for humans. It is an epidemiological model that translates the dengue disease through a system of differential ordinary equations which takes in consideration the dynamics of the disease between human and mosquito populations. This model incorporates a parameter that simulates personal protection measures, namely insect repellent, special clothes, or bed nets, and a parameter that asserts the effectiveness of public awareness to the importance of using personal protective equipment.

Suggested Citation

  • Brito da Cruz, Artur M.C. & Rodrigues, Helena Sofia, 2021. "Personal protective strategies for dengue disease: Simulations in two coexisting virus serotypes scenarios," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 188(C), pages 254-267.
  • Handle: RePEc:eee:matcom:v:188:y:2021:i:c:p:254-267
    DOI: 10.1016/j.matcom.2021.04.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475421001208
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2021.04.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Miranda Chan & Michael A Johansson, 2012. "The Incubation Periods of Dengue Viruses," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saha, Sangeeta & Samanta, Guruprasad, 2022. "Analysis of a host–vector dynamics of a dengue disease model with optimal vector control strategy," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 195(C), pages 31-55.
    2. Li, Yazhi & Wang, Yan & Liu, Lili, 2023. "Optimal control of dengue vector based on a reaction–diffusion model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 250-270.
    3. Abidemi, Afeez & Ackora-Prah, Joseph & Fatoyinbo, Hammed Olawale & Asamoah, Joshua Kiddy K., 2022. "Lyapunov stability analysis and optimization measures for a dengue disease transmission model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Víctor Hugo Peña-García & Omar Triana-Chávez & Ana María Mejía-Jaramillo & Francisco J. Díaz & Andrés Gómez-Palacio & Sair Arboleda-Sánchez, 2016. "Infection Rates by Dengue Virus in Mosquitoes and the Influence of Temperature May Be Related to Different Endemicity Patterns in Three Colombian Cities," IJERPH, MDPI, vol. 13(7), pages 1-16, July.
    2. Abdalgader, Tarteel & Banerjee, Malay & Zhang, Lai, 2022. "Spatially weak syncronization of spreading pattern between Aedes Albopictus and dengue fever," Ecological Modelling, Elsevier, vol. 473(C).
    3. Kazi Mizanur Rahman & Yushuf Sharker & Reza Ali Rumi & Mahboob-Ul Islam Khan & Mohammad Sohel Shomik & Muhammad Waliur Rahman & Sk Masum Billah & Mahmudur Rahman & Peter Kim Streatfield & David Harley, 2020. "An Association between Rainy Days with Clinical Dengue Fever in Dhaka, Bangladesh: Findings from a Hospital Based Study," IJERPH, MDPI, vol. 17(24), pages 1-9, December.
    4. Mateus C, Rafael & Zuluaga, Susana Alvarez & Orozco, Mariajose Franco & Marín, Paula Alejandra Escudero, 2021. "Modeling the propagation of the Dengue, Zika and Chikungunya virus in the city of Bello using Agent-Based Modeling and Simulation," OSF Preprints wmxzd, Center for Open Science.
    5. Hao Gui & Sylvia Gwee & Jiayun Koh & Junxiong Pang, 2021. "Weather Factors Associated with Reduced Risk of Dengue Transmission in an Urbanized Tropical City," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    6. Bao-Linh Tran & Wei-Chun Tseng & Chi-Chung Chen & Shu-Yi Liao, 2020. "Estimating the Threshold Effects of Climate on Dengue: A Case Study of Taiwan," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    7. Lingcai Kong & Jinfeng Wang & Zhongjie Li & Shengjie Lai & Qiyong Liu & Haixia Wu & Weizhong Yang, 2018. "Modeling the Heterogeneity of Dengue Transmission in a City," IJERPH, MDPI, vol. 15(6), pages 1-21, May.
    8. Santos, Eslaine S. & Miranda, José G.V. & Saba, Hugo & Skalinski, Lacita M. & Araújo, Marcio L.V. & Veiga, Rafael V. & Costa, Maria da Conceição N. & Cardim, Luciana L. & Paixão, Enny S. & Teixeira, M, 2023. "Complex network analysis of arboviruses in the same geographic domain: Differences and similarities," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    9. Dantas, Eber & Tosin, Michel & Cunha Jr, Americo, 2018. "Calibration of a SEIR–SEI epidemic model to describe the Zika virus outbreak in Brazil," Applied Mathematics and Computation, Elsevier, vol. 338(C), pages 249-259.
    10. Benito Chen-Charpentier, 2023. "Delays and Exposed Populations in Infection Models," Mathematics, MDPI, vol. 11(8), pages 1-22, April.
    11. Paul C. Fenema & A. Georges L. Romme, 2020. "Latent organizing for responding to emergencies: foundations for research," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-16, December.
    12. Tay, Chai Jian & Fakhruddin, Muhammad & Fauzi, Ilham Saiful & Teh, Su Yean & Syamsuddin, Muhammad & Nuraini, Nuning & Soewono, Edy, 2022. "Dengue epidemiological characteristic in Kuala Lumpur and Selangor, Malaysia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 489-504.
    13. Abidemi, A. & Abd Aziz, M.I. & Ahmad, R., 2020. "Vaccination and vector control effect on dengue virus transmission dynamics: Modelling and simulation," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    14. Judicaël Obame-Nkoghe & Boris Kevin Makanga & Sylvie Brizard Zongo & Aubin Armel Koumba & Prune Komba & Neil-Michel Longo-Pendy & Franck Mounioko & Rodolphe Akone-Ella & Lynda Chancelya Nkoghe-Nkoghe , 2023. "Urban Green Spaces and Vector-Borne Disease Risk in Africa: The Case of an Unclean Forested Park in Libreville (Gabon, Central Africa)," IJERPH, MDPI, vol. 20(10), pages 1-17, May.
    15. Yoon Ling Cheong & Katrin Burkart & Pedro J. Leitão & Tobia Lakes, 2013. "Assessing Weather Effects on Dengue Disease in Malaysia," IJERPH, MDPI, vol. 10(12), pages 1-16, November.
    16. Villela, Daniel A.M., 2016. "Analysis of the vectorial capacity of vector-borne diseases using moment-generating functions," Applied Mathematics and Computation, Elsevier, vol. 290(C), pages 1-8.
    17. Ayu Rahayu & Utari Saraswati & Endah Supriyati & Dian Aruni Kumalawati & Rio Hermantara & Anwar Rovik & Edwin Widyanto Daniwijaya & Iva Fitriana & Sigit Setyawan & Riris Andono Ahmad & Dwi Satria Ward, 2019. "Prevalence and Distribution of Dengue Virus in Aedes aegypti in Yogyakarta City before Deployment of Wolbachia Infected Aedes aegypti," IJERPH, MDPI, vol. 16(10), pages 1-12, May.
    18. Rotem Ben-Shachar & Scott Schmidler & Katia Koelle, 2016. "Drivers of Inter-individual Variation in Dengue Viral Load Dynamics," PLOS Computational Biology, Public Library of Science, vol. 12(11), pages 1-26, November.
    19. López, L. & Dommar, C. & San José, A. & Meyers, L. & Fox, S. & Castro, L. & Rodó, X., 2023. "Changing risk of arboviral emergence in Catalonia due to higher probability of autochthonous outbreaks," Ecological Modelling, Elsevier, vol. 477(C).
    20. Prasad Liyanage & Hasitha Tissera & Maquins Sewe & Mikkel Quam & Ananda Amarasinghe & Paba Palihawadana & Annelies Wilder-Smith & Valérie R. Louis & Yesim Tozan & Joacim Rocklöv, 2016. "A Spatial Hierarchical Analysis of the Temporal Influences of the El Niño-Southern Oscillation and Weather on Dengue in Kalutara District, Sri Lanka," IJERPH, MDPI, vol. 13(11), pages 1-21, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:188:y:2021:i:c:p:254-267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.