Quiescence and its Effects in the Aedes aegypti Population

Autores

  • Alejandro D. Reckziegel Facultad Politécnica UNA
  • Christian E. Schaerer Facultad Politécnica UNA
  • Diego H. Stalder Facultad de Ingeniería UNA

Resumo

Due to the capacity of several species of mosquitoes to carry vector-borne diseases, several models, including those composed of systems of differential equations, have been developed to describe its population dynamics [1, 4]. It is known that in the presence of adverse weather conditions, Aedes aegypti mosquitoes employ a survival strategy called quiescence, in which, once their eggs dry up, development stops to maintain viability for periods lasting up to several months [2]. Although quiescence allows a prolonged likelihood of survival for mosquito eggs, quiescence can also negatively affect mosquito development [3]. In this work, we incorporate the effects of quiescence into a population model. The proposed model, covers female mosquito populations. This model is divided into four phases of mosquito development: Eggs (E), Larvae (L), Pupae (P), and Mature adults (M) [...]

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Referências

D. Balbuena, M. Barrios, D. H. Stalder, C. E. Schaerer, M. Ferreira, and N. Gonzaléz. “Understanding effects of temperature and precipitation in the dynamics of the mosquito population”. In: Proceeding Series of the Brazilian Society of Computational and Applied Mathematics 11.1 (2025). url: https://proceedings.sbmac.org.br/sbmac/article/view/4907/4968.

D. F. A. Diniz, C. M. R. De Albuquerque, L. O. Oliva, M. A. V. De Melo-Santos, and C. F. J. Ayres. “Diapause and quiescence: dormancy mechanisms that contribute to the geographical expansion of mosquitoes and their evolutionary success”. In: Parasites & Vectors 10.1 (2017). doi: 10.1186/s13071-017-2235-0.

L. O. Oliva, R. La Corte, M. O. Santana, and C. M. R. De Albuquerque. “Quiescence in Aedes aegypti: Interpopulation Differences Contribute to Population Dynamics and Vectorial Capacity”. In: Insects 9.3 (2018), pp. 111–111. doi: 10.3390/insects9030111.

M. C. Ramírez-Soto, J. V. B. Machuca, D. H. Stalder, D. Champin, M. G. Mártinez-Fernández, and C. E. Schaerer. “SIR-SI model with a Gaussian transmission rate: Understanding the dynamics of dengue outbreaks in Lima, Peru”. In: PLoS ONE 18.4 (2023), e0284263. doi: 10.1371/journal.pone.0284263.

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Publicado

2026-02-13

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