The impact of aquatic habitats on the malaria parasite transmission: A view from an agent-based model

被引:1
|
作者
Khelifa, Amira [1 ,2 ,4 ]
El Saadi, Nadjia [2 ,3 ]
机构
[1] Univ Sci & Technol Houari Boumediene USTHB, Fac Math, Dept Probabil & Stat, BP 32, Algiers 16111, Algeria
[2] ENSSEA, Lab Modelisat Phenomenes Stochast LAMOPS, Tipasa 42003, Algeria
[3] Natl Higher Sch Stat & Appl Econ ENSSEA, Tipasa 42003, Algeria
[4] Univ Saad Dahlab Blida USDB, Fac Sci, Dept Math, BP 270 Road Souma, Blida 09000, Algeria
关键词
Agent-based model; Malaria transmission; Spatial dispersion; Simulation; Host-vector interactions; Aquatic habitats; PLASMODIUM-FALCIPARUM MALARIA; INFECTION; MOSQUITOS; EPIDEMIOLOGY; OVIPOSITION; SIMULATION; CULICIDAE; PROTOCOL; BEHAVIOR; IMMUNITY;
D O I
10.1016/j.ecolmodel.2023.110547
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In this paper, we develop an agent-based model (ABM) to study malaria disease transmission. This ABM is a host-vector model where hosts are humans and vectors are the female Anopheles mosquitos, moreover the ABM is spatially explicit integrating aquatic habitats in which mature vectors breed and the immature vectors develop. The dispersals of vectors, hosts and aquatic habitats and the interactions between them are explicit and depend on their geographical locations, the demographic processes for both hosts and vectors and hosts immunity are taken into account.We implement the ABM using parameters values corresponding to real conditions in nature. Starting from different initial conditions, ABM simulations provide quantitative results predicting disease prevalence in hosts and vectors.The obtained results in this study are asymptotic and highlight the role of aquatic habitats as a determining factor in the transmission of infection and the persistence of the disease. Finally, efficiency of the elimination of aquatic habitats is demonstrated to limit the disease transmission.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] On the sylvatic transmission of T. cruzi, the parasite causing Chagas disease: a view from an agent-based model
    El Saadi, N.
    Bah, A.
    Mahdjoub, T.
    Kribs, C.
    ECOLOGICAL MODELLING, 2020, 423
  • [2] Agent-Based Modeling of Malaria Transmission
    Modu, Babagana
    Polovina, Nereida
    Konur, Savas
    IEEE ACCESS, 2023, 11 : 19794 - 19808
  • [3] Agent-based models of malaria transmission: a systematic review
    Neal R. Smith
    James M. Trauer
    Manoj Gambhir
    Jack S. Richards
    Richard J. Maude
    Jonathan M. Keith
    Jennifer A. Flegg
    Malaria Journal, 17
  • [4] Agent-based models of malaria transmission: a systematic review
    Smith, Neal R.
    Trauer, James M.
    Gambhir, Manoj
    Richards, Jack S.
    Maude, Richard J.
    Keith, Jonathan M.
    Flegg, Jennifer A.
    MALARIA JOURNAL, 2018, 17
  • [5] Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
    Layie, Paul
    Kamla, Vivient Corneille
    Kamgang, Jean Claude
    Wono, Yves Emvudu
    BMC PUBLIC HEALTH, 2021, 21 (01)
  • [6] Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
    Paul Layie
    Vivient Corneille Kamla
    Jean Claude Kamgang
    Yves Emvudu Wono
    BMC Public Health, 21
  • [7] The impact of education on healthcare: A malaria agent-based simulation
    Rateb, F
    Merelo, JJ
    Arenas, MG
    Pavard, B
    Bellamine-BenSaoud, N
    MODELLING AND SIMULATION 2003, 2003, : 378 - 382
  • [8] EVALUATING THERAPEUTIC EFFICACY STUDY METHODOLOGIES WITHIN AN AGENT-BASED MODEL OF MALARIA WITH EXPLICIT PARASITE GENETICS
    Russell, Jonathan R.
    Bridenbecker, Daniel
    Ribado, Jessica
    Lee, Albert
    Jones, Sam
    Hastings, Ian
    Proctor, Joshua L.
    Bever, Caitlin A.
    AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2021, 105 (05): : 221 - 221
  • [9] The impact of antibiotic use on transmission of resistant bacteria in hospitals: Insights from an agent-based model
    Almagor, Jonatan
    Temkin, Elizabeth
    Benenson, Itzhak
    Fallach, Noga
    Carmeli, Yehuda
    PLOS ONE, 2018, 13 (05):
  • [10] An Agent-Based Model for Market Impact
    Oesch, Christian
    2014 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING & ECONOMICS (CIFER), 2014, : 17 - 24