IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v424y2020ics0304380020300740.html
   My bibliography  Save this article

Modelling the control of Aedes albopictus mosquitoes based on sterile males release techniques in a tropical environment

Author

Listed:
  • Haramboure, Marion
  • Labbé, Pierrick
  • Baldet, Thierry
  • Damiens, David
  • Gouagna, Louis Clément
  • Bouyer, Jérémy
  • Tran, Annelise

Abstract

The Sterile Insect Technique (SIT), used to control insect populations, consists of releasing males sterilized by ionizing radiations. Wild females that mate with these males can no longer produce viable offspring, which may drives the population decline. Although this method has proved its efficiency, its effect may be more limited for fast-reproducing large-population species, such Aedes albopictus. A novel approach, named ”boosted SIT” has been designed to strengthen the SIT technique: It consists of coating sterile males with a biocide that will be transferred to the mated females, which will then contaminate the oviposition sites. This study is aimed at exploring demographic effects of both techniques (SIT and boosted SIT) through their inclusion in a weather-driven abundance model of the Aedes albopictus population dynamics in the geographical context of La Reunion Island. Sensitivity analysis showed that the date to start the release, as well as the quantity of sterile males released and their competitiveness, are of key importance for both control methods. According to our results, boosted SIT allows 1) Increasing the effectiveness of the SIT when the sterile males released are of medium quality in terms of competitiveness, and 2) extending the optimal window to start the control period.

Suggested Citation

  • Haramboure, Marion & Labbé, Pierrick & Baldet, Thierry & Damiens, David & Gouagna, Louis Clément & Bouyer, Jérémy & Tran, Annelise, 2020. "Modelling the control of Aedes albopictus mosquitoes based on sterile males release techniques in a tropical environment," Ecological Modelling, Elsevier, vol. 424(C).
    • Handle: RePEc:eee:ecomod:v:424:y:2020:i:c:s0304380020300740
    DOI: 10.1016/j.ecolmodel.2020.109002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020300740
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109002?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. Samir Bhatt & Peter W. Gething & Oliver J. Brady & Jane P. Messina & Andrew W. Farlow & Catherine L. Moyes & John M. Drake & John S. Brownstein & Anne G. Hoen & Osman Sankoh & Monica F. Myers & Dylan , 2013. "The global distribution and burden of dengue," Nature, Nature, vol. 496(7446), pages 504-507, April.
    2. Xiaoying Zheng & Dongjing Zhang & Yongjun Li & Cui Yang & Yu Wu & Xiao Liang & Yongkang Liang & Xiaoling Pan & Linchao Hu & Qiang Sun & Xiaohua Wang & Yingyang Wei & Jian Zhu & Wei Qian & Ziqiang Yan , 2019. "Incompatible and sterile insect techniques combined eliminate mosquitoes," Nature, Nature, vol. 572(7767), pages 56-61, August.
    3. Cailly, Priscilla & Tran, Annelise & Balenghien, Thomas & L’Ambert, Grégory & Toty, Céline & Ezanno, Pauline, 2012. "A climate-driven abundance model to assess mosquito control strategies," Ecological Modelling, Elsevier, vol. 227(C), pages 7-17.
    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. Walker, Melody & Robert, Michael A. & Childs, Lauren M., 2021. "The importance of density dependence in juvenile mosquito development and survival: A model-based investigation," Ecological Modelling, Elsevier, vol. 440(C).
    2. Diouf, Esther Gnilane & Brévault, Thierry & Ndiaye, Saliou & Faye, Emile & Chailleux, Anaïs & Diatta, Paterne & Piou, Cyril, 2022. "An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management," Ecological Modelling, Elsevier, vol. 468(C).
    3. Virgillito, Chiara & Manica, Mattia & Marini, Giovanni & Caputo, Beniamino & Torre, Alessandra della & Rosà, Roberto, 2021. "Modelling arthropod active dispersal using Partial differential equations: the case of the mosquito Aedes albopictus," Ecological Modelling, Elsevier, vol. 456(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. Haocheng Wu & Chen Wu & Qinbao Lu & Zheyuan Ding & Ming Xue & Junfen Lin, 2019. "Evaluating the effects of control interventions and estimating the inapparent infections for dengue outbreak in Hangzhou, China," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-16, August.
    2. Qiming Huang & Lijie Chang & Zhaowang Zhang & Bo Zheng, 2023. "Global Dynamics for Competition between Two Wolbachia Strains with Bidirectional Cytoplasmic Incompatibility," Mathematics, MDPI, vol. 11(7), pages 1-21, April.
    3. Eunha Shim, 2017. "Cost-effectiveness of dengue vaccination in Yucatán, Mexico using a dynamic dengue transmission model," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-17, April.
    4. Cheng-Te Lin & Yu-Sheng Huang & Lu-Wen Liao & Chung-Te Ting, 2020. "Measuring Consumer Willingness to Pay to Reduce Health Risks of Contracting Dengue Fever," IJERPH, MDPI, vol. 17(5), pages 1-15, March.
    5. Amy R. Krystosik & Andrew Curtis & A. Desiree LaBeaud & Diana M. Dávalos & Robinson Pacheco & Paola Buritica & Álvaro A. Álvarez & Madhav P. Bhatta & Jorge Humberto Rojas Palacios & Mark A. James, 2018. "Neighborhood Violence Impacts Disease Control and Surveillance: Case Study of Cali, Colombia from 2014 to 2016," IJERPH, MDPI, vol. 15(10), pages 1-20, September.
    6. Jiang, Dong & Wang, Qian & Ding, Fangyu & Fu, Jingying & Hao, Mengmeng, 2019. "Potential marginal land resources of cassava worldwide: A data-driven analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 167-173.
    7. Benjamin Lopez-Jimena & Michaël Bekaert & Mohammed Bakheit & Sieghard Frischmann & Pranav Patel & Etienne Simon-Loriere & Louis Lambrechts & Veasna Duong & Philippe Dussart & Graham Harold & Cheikh Fa, 2018. "Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(5), pages 1-22, May.
    8. Fazli Wahid & Dr.Sajjad Ali & Jan Muhammad, 2021. "Effective Sources of Information in Winter Seasonal Diseases: The Perception of Residents of District Buner, KP," Journal of Media & Communication (JMC), Ilma University, Faculty of Media & Design, vol. 1(2), pages 215-229.
    9. Maria Glória Teixeira & Enny S Paixão & Maria da Conceição N Costa & Rivaldo V Cunha & Luciano Pamplona & Juarez P Dias & Camila A Figueiredo & Maria Aparecida A Figueiredo & Ronald Blanton & Vanessa , 2015. "Arterial Hypertension and Skin Allergy Are Risk Factors for Progression from Dengue to Dengue Hemorrhagic Fever: A Case Control Study," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(5), pages 1-8, May.
    10. Zheng, Zhoumin & Xu, Nuo & Khan, Mohsin & Pedersen, Michael & Abdalgader, Tarteel & Zhang, Lai, 2024. "Nonlinear impacts of climate change on dengue transmission in mainland China: Underlying mechanisms and future projection," Ecological Modelling, Elsevier, vol. 492(C).
    11. Maneerat, Somsakun & Daudé, Eric, 2016. "A spatial agent-based simulation model of the dengue vector Aedes aegypti to explore its population dynamics in urban areas," Ecological Modelling, Elsevier, vol. 333(C), pages 66-78.
    12. Emma Taylor-Salmon & Verity Hill & Lauren M. Paul & Robert T. Koch & Mallery I. Breban & Chrispin Chaguza & Afeez Sodeinde & Joshua L. Warren & Sylvia Bunch & Natalia Cano & Marshall Cone & Sarah Eyso, 2024. "Travel surveillance uncovers dengue virus dynamics and introductions in the Caribbean," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    13. Mohd Hanief Ahmad & Mohd Ismail Ibrahim & Zeehaida Mohamed & Nabilah Ismail & Muhammad Amiruddin Abdullah & Rafidah Hanim Shueb & Mohd Nazri Shafei, 2018. "The Sensitivity, Specificity and Accuracy of Warning Signs in Predicting Severe Dengue, the Severe Dengue Prevalence and Its Associated Factors," IJERPH, MDPI, vol. 15(9), pages 1-12, September.
    14. 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.
    15. Jian, Yun & Silvestri, Sonia & Belluco, Enrica & Saltarin, Andrea & Chillemi, Giovanni & Marani, Marco, 2014. "Environmental forcing and density-dependent controls of Culex pipiens abundance in a temperate climate (Northeastern Italy)," Ecological Modelling, Elsevier, vol. 272(C), pages 301-310.
    16. Amanda C. Walsh, 2019. "Impacts of Dengue Epidemics on Household Labor Market Outcomes," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 684-702, December.
    17. Beibei Li & Ruonan Ma & Lei Chen & Caiyu Zhou & Yu-Xiao Zhang & Xiaonan Wang & Helai Huang & Qikun Hu & Xiaobo Zheng & Jiarui Yang & Mengjuan Shao & Pengfei Hao & Yanfen Wu & Yizhen Che & Chang Li & T, 2023. "Diatomic iron nanozyme with lipoxidase-like activity for efficient inactivation of enveloped virus," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    18. Auliya A. Suwantika & Angga P. Kautsar & Woro Supadmi & Neily Zakiyah & Rizky Abdulah & Mohammad Ali & Maarten J. Postma, 2020. "Cost-Effectiveness of Dengue Vaccination in Indonesia: Considering Integrated Programs with Wolbachia -Infected Mosquitos and Health Education," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
    19. Zeynep Ertem & Dorrie Raymond & Lauren Ancel Meyers, 2018. "Optimal multi-source forecasting of seasonal influenza," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-16, September.
    20. Sumaira Zafar & Oleg Shipin & Richard E. Paul & Joacim Rocklöv & Ubydul Haque & Md. Siddikur Rahman & Mayfong Mayxay & Chamsai Pientong & Sirinart Aromseree & Petchaboon Poolphol & Tiengkham Pongvongs, 2021. "Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand," IJERPH, MDPI, vol. 18(17), pages 1-25, September.

    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:ecomod:v:424:y:2020:i:c:s0304380020300740. 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/ecological-modelling .

    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.