Using a climate-dependent model to predict mosquito abundance: Application to Aedes (Stegomyia) africanus and Aedes (Diceromyia) furcifer (Diptera: Culicidae)

Schaeffer, Brigitte; Mondet, Bernard; Touzeau, Suzanne

doi:10.1016/j.meegid.2007.07.002

Cited by 32 publications

(52 citation statements)

References 31 publications

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“…A climate dependent model will be proposed by modifying the formula of egg hatching process and larval survival. We will take into account that eggs can survive with minimal water but flooding is a necessity for hatching 4,12 . We hope that this modified model will give a better picture on the population dynamics of Aedes aegypti in Malaysia, generally.…”

Section: Resultsmentioning

confidence: 99%

“…3, the authors divided the life cycle of mosquito into aquatic and winged stages. Another classification used was by taking two egg stages, immature stage and mature stage, one larval stage and two adult stages, before and after the first egg laying 4 . Next extensive study on the population growth of mosquito was done by dividing the stages into egg, larva, pupa, adult1 and adult2 5 .…”

Section: Introductionmentioning

confidence: 99%

“…In studying the population dynamics of mosquitoes, various models had been used such as system of ordinary differential equations 5 , system of partial differential equations 3 and the matrix model 4,6 . Models represented as a system of differential equations are solved using numerical methods while the solution to the matrix model is obtained through matrix multiplication.…”

Section: Introductionmentioning

confidence: 99%

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STAGE-STRUCTURED POPULATION DYNAMICS OF AEDES AEGYPTI

Yusoff

Budin

Ismail

2012

Int. J. Mod. Phys. Conf. Ser.

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Aedes aegypti is the main vector in the transmission of dengue fever, a vector-borne disease affecting world population living in tropical and sub-tropical countries. Better understanding of the dynamics of its population growth will help in the efforts of controlling the spread of this disease. In looking at the population dynamics of Aedes aegypti, this paper explored the stagestructured modeling of the population growth of the mosquito using the matrix population model. The life cycle of the mosquito was divided into five stages: eggs, larvae, pupae, adult1 and adult2. Developmental rates were obtained for the average Malaysian temperature and these were used in constructing the transition matrix for the matrix model. The model, which was based only on temperature, projected that the population of Aedes aegypti will blow up with time, which is not realistic. For further work, other factors need to be taken into account to obtain a more realistic result.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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STAGE-STRUCTURED POPULATION DYNAMICS OF AEDES AEGYPTI

Yusoff

Budin

Ismail

2012

Int. J. Mod. Phys. Conf. Ser.

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“…Mathematical models of pathogen population dynamics, by virtue of their ability to provide a quantitative means for integrating and simulating the impacts of multi-factorial and multi-scale disease transmission processes, may offer us a particularly pertinent methodological tool for developing such holistic predictive and investigative frameworks [7][8][9][10][11][12][13]19,25,27,[42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58]. Recent advances in incorporating the effects of climate, as well as anthropogenic alterations of ecosystems (e.g.…”

Section: Introductionmentioning

confidence: 99%

Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission

Parham

Waldock

Christophides

et al. 2015

Phil. Trans. R. Soc. B

239

224

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Arguably one of the most important effects of climate change is the potential impact on human health. While this is likely to take many forms, the implications for future transmission of vector-borne diseases (VBDs), given their ongoing contribution to global disease burden, are both extremely important and highly uncertain. In part, this is owing not only to data limitations and methodological challenges when integrating climate-driven VBD models and climate change projections, but also, perhaps most crucially, to the multitude of epidemiological, ecological and socio-economic factors that drive VBD transmission, and this complexity has generated considerable debate over the past 10–15 years. In this review, we seek to elucidate current knowledge around this topic, identify key themes and uncertainties, evaluate ongoing challenges and open research questions and, crucially, offer some solutions for the field. Although many of these challenges are ubiquitous across multiple VBDs, more specific issues also arise in different vector–pathogen systems.

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“…Several models have been developed to predict mosquito population dynamics. The model cited were built for a specific mosquito species in a specific geographic context [19,20,21,22]. The model we proposed represents the mosquito life cycle (aquatic and adult stage)and generic as the model structure is common to all mosquito species and also for all the considered stations simply by changing parameter values and functions.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modelling and estimation of seasonal variation of mosquito population: a real case study

Dhar

Chaudhary

Baghel³

et al. 2014

bspm

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A mathematical model is proposed and analyzed for the understanding of growth pattern of mosquito vector looking into its life cycle. The objective of this study is to develop a mathematical model that can fit to the real data provided by DRDE scientist for different month at different stations so that the seasonal variation in population density of mosquitoes can be reported accurately to the estimated data obtained by the proposed mathematical model. The aquatic class (L) and adult stage is divided in two class, indoor population (I) and outdoor population (O). Here we estimated different parameters of our proposed continuous model and numerical simulation is done to compare the estimated data with the actual data.

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Using a climate-dependent model to predict mosquito abundance: Application to Aedes (Stegomyia) africanus and Aedes (Diceromyia) furcifer (Diptera: Culicidae)

Cited by 32 publications

References 31 publications

STAGE-STRUCTURED POPULATION DYNAMICS OF AEDES AEGYPTI

STAGE-STRUCTURED POPULATION DYNAMICS OF AEDES AEGYPTI

Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission

Mathematical modelling and estimation of seasonal variation of mosquito population: a real case study

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