Relevant bibliographies by topics / Mosquito population dynamics

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Mosquito population dynamics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Mosquito population dynamics"

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Wan, Hui. "Modelling Mosquito Population Dynamics: The Impact of Resource and Temperature." Advanced Materials Research 726-731 (August 2013): 156–59. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.156.

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Understanding the population dynamics of mosquitoes is fundamental to the study of the epidemiology of mosquito-borne diseases for the purpose of optimal control and prevention. In this paper, we presented a brief survey for former models for mosquito population and claimed that the effect of limited resource and temperature are important for the population dynamics of mosquito which should be considered in mosquito models.
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Cai, Li-Ming. "Dynamics of Wild and Sterile Mosquito Population Models with Delayed Releasing." International Journal of Bifurcation and Chaos 30, no. 11 (September 15, 2020): 2050218. http://dx.doi.org/10.1142/s0218127420502181.

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To reduce the global burden of mosquito-borne diseases, e.g. dengue, malaria, the need to develop new control methods is to be highlighted. The sterile insect technique (SIT) and various genetic modification strategies, have a potential to contribute to a reversal of the current alarming disease trends. In our previous work, the ordinary differential equation (ODE) models with different releasing sterile mosquito strategies are investigated. However, in reality, implementing SIT and the releasing processes of sterile mosquitos are very complex. In particular, the delay phenomena always occur. To achieve suppression of wild mosquito populations, in this paper, we reassess the effect of the delayed releasing of sterile mosquitos on the suppression of interactive mosquito populations. We extend the previous ODE models to the delayed releasing models in two different ways of releasing sterile mosquitos, where both constant and exponentially distributed delays are considered, respectively. By applying the theory and methods of delay differential equations, the effect of time delays on the stability of equilibria in the system is rigorously analyzed. Some sustained oscillation phenomena via Hopf bifurcations in the system are observed. Numerical examples demonstrate rich dynamical features of the proposed models. Based on the obtained results, we also suggest some new releasing strategies for sterile mosquito populations.
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El Moustaid, Fadoua, and Leah Johnson. "Modeling Temperature Effects on Population Density of the Dengue Mosquito Aedes aegypti." Insects 10, no. 11 (November 7, 2019): 393. http://dx.doi.org/10.3390/insects10110393.

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Mosquito density plays an important role in the spread of mosquito-borne diseases such as dengue and Zika. While it remains very challenging to estimate the density of mosquitoes, modelers have tried different methods to represent it in mathematical models. The goal of this paper is to investigate the various ways mosquito density has been quantified, as well as to propose a dynamical system model that includes the details of mosquito life stages leading to the adult population. We first discuss the mosquito traits involved in determining mosquito density, focusing on those that are temperature dependent. We evaluate different forms of models for mosquito densities based on these traits and explore their dynamics as temperature varies. Finally, we compare the predictions of the models to observations of Aedes aegypti abundances over time in Vitòria, Brazil. Our results indicate that the four models exhibit qualitatively and quantitatively different behaviors when forced by temperature, but that all seem reasonably consistent with observed abundance data.
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Tran, Annelise, Assane Gueye Fall, Biram Biteye, Mamadou Ciss, Geoffrey Gimonneau, Mathieu Castets, Momar Talla Seck, and Véronique Chevalier. "Spatial Modeling of Mosquito Vectors for Rift Valley Fever Virus in Northern Senegal: Integrating Satellite-Derived Meteorological Estimates in Population Dynamics Models." Remote Sensing 11, no. 9 (April 30, 2019): 1024. http://dx.doi.org/10.3390/rs11091024.

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Mosquitoes are vectors of major pathogen agents worldwide. Population dynamics models are useful tools to understand and predict mosquito abundances in space and time. To be used as forecasting tools over large areas, such models could benefit from integrating remote sensing data that describe the meteorological and environmental conditions driving mosquito population dynamics. The main objective of this study is to assess a process-based modeling framework for mosquito population dynamics using satellite-derived meteorological estimates as input variables. A generic weather-driven model of mosquito population dynamics was applied to Rift Valley fever vector species in northern Senegal, with rainfall, temperature, and humidity as inputs. The model outputs using meteorological data from ground weather station vs satellite-based estimates are compared, using longitudinal mosquito trapping data for validation at local scale in three different ecosystems. Model predictions were consistent with field entomological data on adult abundance, with a better fit between predicted and observed abundances for the Sahelian Ferlo ecosystem, and for the models using in-situ weather data as input. Based on satellite-derived rainfall and temperature data, dynamic maps of three potential Rift Valley fever vector species were then produced at regional scale on a weekly basis. When direct weather measurements are sparse, these resulting maps should be used to support policy-makers in optimizing surveillance and control interventions of Rift Valley fever in Senegal.
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Yang, Cuihong, Xinan Zhang, and Jia Li. "Dynamics of two-patch mosquito population models with sterile mosquitoes." Journal of Mathematical Analysis and Applications 483, no. 2 (March 2020): 123660. http://dx.doi.org/10.1016/j.jmaa.2019.123660.

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Abiodun, Gbenga J., Peter Witbooi, and Kazeem O. Okosun. "Modeling and analyzing the impact of temperature and rainfall on mosquito population dynamics over Kwazulu-Natal, South Africa." International Journal of Biomathematics 10, no. 04 (March 28, 2017): 1750055. http://dx.doi.org/10.1142/s1793524517500553.

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Malaria parasites are strongly dependent on Anopheles mosquitoes for transmission; for this reason, mosquito population dynamics are a crucial determinant of malaria risk. However, temperature and rainfall play a significant role in both aquatic and adult stages of the Anopheles. Consequently, it is important to understand the biology of malaria vector mosquitoes in the study of malaria transmission. In this study, we develop a climate-based, ordinary-differential-equation model to analyze how rainfall and temperature determine mosquito population size. In the model, we consider in detail the influence of ambient temperature on gonotrophic and sporogonic cycles over Amajuba District, Kwazulu-Natal Province, South Africa. In particular, we further use the model to simulate the spatial distribution of the mosquito biting rate over the study region. Our results reflect high seasonality of the population of An. gambiae over the region and also demonstrate the influence of climatic factors on the mosquito population dynamics.
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Beck-Johnson, Lindsay M., William A. Nelson, Krijn P. Paaijmans, Andrew F. Read, Matthew B. Thomas, and Ottar N. Bjørnstad. "The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk." Royal Society Open Science 4, no. 3 (March 2017): 160969. http://dx.doi.org/10.1098/rsos.160969.

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Temperature is a key environmental driver of Anopheles mosquito population dynamics; understanding its central role is important for these malaria vectors. Mosquito population responses to temperature fluctuations, though important across the life history, are poorly understood at a population level. We used stage-structured, temperature-dependent delay-differential equations to conduct a detailed exploration of the impacts of diurnal and annual temperature fluctuations on mosquito population dynamics. The model allows exploration of temperature-driven temporal changes in adult age structure, giving insights into the population’s capacity to vector malaria parasites. Because of temperature-dependent shifts in age structure, the abundance of potentially infectious mosquitoes varies temporally, and does not necessarily mirror the dynamics of the total adult population. In addition to conducting the first comprehensive theoretical exploration of fluctuating temperatures on mosquito population dynamics, we analysed observed temperatures at four locations in Africa covering a range of environmental conditions. We found both temperature and precipitation are needed to explain the observed malaria season in these locations, enhancing our understanding of the drivers of malaria seasonality and how temporal disease risk may shift in response to temperature changes. This approach, tracking both mosquito abundance and age structure, may be a powerful tool for understanding current and future malaria risk.
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Duprez, Michel, Romane Hélie, Yannick Privat, and Nicolas Vauchelet. "Optimization of spatial control strategies for population replacement, application to Wolbachia." ESAIM: Control, Optimisation and Calculus of Variations 27 (2021): 74. http://dx.doi.org/10.1051/cocv/2021070.

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In this article, we are interested in the analysis and simulation of solutions to an optimal control problem motivated by population dynamics issues. In order to control the spread of mosquito-borne arboviruses, the population replacement technique consists in releasing into the environment mosquitoes infected with the Wolbachia bacterium, which greatly reduces the transmission of the virus to the humans. Spatial releases are then sought in such a way that the infected mosquito population invades the uninfected mosquito population. Assuming very high mosquito fecundity rates, we first introduce an asymptotic model on the proportion of infected mosquitoes and then an optimal control problem to determine the best spatial strategy to achieve these releases. We then analyze this problem, including the optimality of natural candidates and carry out first numerical simulations in one dimension of space to illustrate the relevance of our approach.
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Twiddy, S. Susanna, Oliver G. Pybus, and Edward C. Holmes. "Comparative population dynamics of mosquito-borne flaviviruses." Infection, Genetics and Evolution 3, no. 2 (July 2003): 87–95. http://dx.doi.org/10.1016/s1567-1348(02)00153-3.

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Resmawan, Resmawan, Paian Sianturi, and Endar Hasafah Nugrahani. "The Analysis of SEIRS-SEI Epidemic Models on Malaria with Regard to Human Recovery Rate." Aceh International Journal of Science and Technology 6, no. 3 (December 31, 2017): 132–40. http://dx.doi.org/10.13170/aijst.6.3.9303.

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This article discusses SEIRS-SEI epidemic models on malaria with regard to human recovery rate. SEIRS-SEI in this model is an abbreviation of the population class used in the model, ie Susceptible, Exposed, Infected, and Recovered populations in humans and Susceptible, Exposed, and Infected populations in mosquito. These epidemic models belong to mathematical models which clarify a phenomenon of epidemic transmission of malaria by observing the human recovery rate after being infected and susceptible. Human population falls into four classes, namely susceptible humans, exposed humans, infected humans, and recovered humans. Meanwhile, mosquito population serving as vectors of the disease is divided into three classes, including susceptible mosquitoes, exposed mosquitoes, and infected mosquitoes. Such models are termed SEIRS-SEI epidemic models. Analytical discussion covers model formation, existence and stability of equilibrium points, as well as numerical simulation to find out the influence of human recovery rate on population dynamics of both species. The results show that the fixed point without disease ( ) is stable in condition and unstable in condition . The simulation results show that the given treatment has an influence on the dynamics of the human population and mosquitoes. If the human recovery rate from the infected state becomes susceptible to increased, then the number of infected populations of both species will decrease. As a result, the disease will not spread and within a certain time will disappear from the population.
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Dissertations / Theses on the topic "Mosquito population dynamics"

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Dawes, Emma J. "The population dynamics of Plasmodium within the mosquito." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6869.

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Malaria remains one of the world’s most devastating vector-borne parasitic diseases and existing control tools may not be enough to meet the challenge of eliminating malaria in areas of high transmission. Understanding the population dynamics of Plasmodium within the mosquito vector is essential for developing, optimising, and evaluating novel control measures aimed at reducing transmission by targeting this important interface. Malaria research and mathematical models of transmission classically assume that the processes involved in the progression and development of the Plasmodium parasite within Anopheles mosquitoes are independent of parasite density. The research presented in this thesis challenges this assumption, investigating the impact of parasite density on population processes and regulation. A multidisciplinary approach has been taken, including statistical analyses, practical experimentation, and mathematical modelling. The results show that the progression of the rodent malaria Plasmodium berghei through Anopheles stephensi mosquitoes depends nonlinearly on parasite density, with the presence of both negative and positive density-dependent processes in operation. Analyses of other Plasmodium– Anopheles species combinations also indicate that the traditional assumption of density independence may be an oversimplification. Experimental investigation of mosquito mortality illustrates that the survival of a mosquito depends both on mosquito age and parasite density, again in contrast to the assumptions of malaria transmission modelling. A framework for a mathematical model tracking Plasmodium density within the mosquito has been developed as part of this thesis. Further investigation of sporogonic processes will allow this model to be further refined and extended for use in the future design and evaluation of interventions which target the mosquito or the parasite whilst within the vector.
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Renshaw, Melaine. "Population dynamics and ecology of Aedes cantans (Dipitera: Culicidae) in England." Thesis, University of Liverpool, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317233.

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Walker, Melody. "Modelling Allee effects in a transgenic mosquito population during range expansion." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83598.

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Mosquitoes are vectors for many diseases that cause significant mortality and morbidity across the globe such as malaria, dengue fever and Zika. As mosquito populations expand their range into new areas, they may undergo mate-finding Allee effects such that their ability to successfully reproduce becomes difficult at low population densities. With new technology, creating target specific gene modification may now be a viable method for mosquito population control. We develop a mathematical model to investigate the effects of releasing transgenic mosquitoes into newly established low-density mosquito populations. Our model consists of two life stages (aquatic and adult), which are further divided into three genetically distinct groups: heterogeneous and homogeneous transgenic alleles that cause female infertility and a homogeneous wild type. We perform analytical and numerical analyses on the equilibria to determine the level of saturation needed to eliminate mosquitoes in a given area. This model demonstrates the potential for a gene drive system to reduce the spread of invading mosquito populations.
Master of Science
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Mina, Petrić. "Modelling the influence of meteorological conditions on mosquito vector population dynamics (Diptera, Culicidae)." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2020. https://www.cris.uns.ac.rs/record.jsf?recordId=114757&source=NDLTD&language=en.

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Meteorological  conditions  have  a  significant influence on the time of occurrence, abundance and activity of the mosquito vector. In the current context of climate change, it is of great importance to assess the  impact  of  shifts  in  climatic  conditions  on  the suitability for the establishment and annual activity of  the  vector  species.  Moreover,  changes  in  the variability  of  meteorological  elements  and  their extremes  can  generate  unexpected  changes  in  the mosquito  vector  population  which  in  turn  have  an  important effect on human health. One of the ways to put  these  causes  and  effects  into  perspective  is  to simulate the activity of the vector within a processbased framework which allows for the analysis of the contribution of individual factors on the different life stages of the vector. Such analysis is presented by use of  sophisticated  dynamical  models  simulating  the characteristics of the biological population, forced by observed  meteorological  data,  capturing  the  localmicro-environment  of  the  vector  habitat,  and validated by the observed entomology.Numerical  models  are  being  developed  to  model vector  population  dynamics  and  the  expected circulation of the virus within a closed system. Two modelling  approaches  are  standardly  applied  to modelling vector population dynamics: Mechanistic and  Stochastic.  The  advantage  of  mechanistic  overstatistical  models  is  that  they  can  provide  a deterministic  framework  allowing  for  the  isolated evaluation of each input parameter and their effect on the modelled system. Mechanistic dynamical models are used to describe the biophysical processes or partof  the  process  as  a  response  to  changes  in  the meteorological conditions.The  work  carried  out  in  this  thesis  can  be summarized as follows: (i) Analysis of the association between  the  most  important  abiotic  drivers influencing the population dynamics, annual activity and  time  of  occurrence  of Culex  pipiens and Aedes aegypti;  (ii)  Identifying  the  most  important  climatic factors and model settings as a function of climatic characteristics of the study region; (iii) Modelling the vector population dynamics and stability analysis of the  dynamical  system  (iv)  Analysis  of  different verification techniques and implications in terms of model  application;  (v)  Feasibility  analysis  ofimproving  the  model  with  a  Land-Surface Parametrization scheme and short-range forecasting of pest population dynamics.
Meteorološki  uslovi  bitno  utiču  na  vreme  pojave, brojnost  vektora  i  njihovu  aktivnost.  U  uslovima evidentnih promene klime, od ogromne je važnosti sagledati  uticaj  očekivanih  promena  klime  na pogodnost  uslova  na  pojavu  izabranih  vektora.Takodje, značajne promene kolebanja meteoroloških elemenata  u  odnosu  na  višegodišnji  prosek  i  sve češće pojave nepovoljnih vremenskih prilika dovode do neočekivanog ponašanja populacije komarca što značajno  utiče  na  kvalitet  života  i  zdravlje  ljudi. Jedini  način  da  se  sagledaju  uzroci  i  posledice navedenih pojava zasniva se na simulaciji aktivnosti i  brojnosti  vektora  uz  mogućnost  testiranja  uticaja svakog  pojedinačnog  faktora.  Ovu  mogućnost pružaju samo visoko sofistikovani dinamički modeli koju su prošli proces kalibracije i validacije zasnovanna izmerenim vrednostima meteoroloških elemenata i karakteristika biološke populacije.Sofistikovani  modeli  za  simulaciju  dinamike populacije vektora i očekivane cirkulacije vektorskih transmisivnih bolesti se koriste sa ciljem modeliranja potencijalnog rizika od zaraze i epidemije. Modeli zasimulaciju dinamike vektora mogu da se podele na dve  glavne  grupe:  Mehanističke  i  Statističke. Prednost  mehanističkih  modela  nad  statističkim  je što  mogu  da  se  koriste  za  evaluaciju  uticaja izolovanog  faktora  na  dinamički  sistem  i odgovarajuće promene brojnosti unutar svake faze u razvoju  vektora.  Mehanistički  dinamički  sistemi  se koriste  kako  bi  se  opisao  mehanizam  biofizičkog procesa  ili  dela  procesa  u  zavisnosti  od  forsirajuće veličine.Predmet  istraživanja  u  ovom  radu  jeste identifikovanje  najznačajnijih  bioloških  i  fizičkih procesa  kao  i  odgovarajućih  faktora  koji  utiču  na brojnost i aktivnost vektora roda Aedes i Culex. Ciljevi istraživanja mogu da se sumiraju na sledeći način: (i)analiza najznačajnijih meteoroloških parametara koji utiču na vreme pojave, brojnost i aktivnost vektora Aedes  i  Culex  roda;  (ii)  definisanje  najznačajnijih klimatskih  faktora  i  stepena  osetljivosti  procesa  na njih; (iii) modeliranje dinamike populacije vektora i analiza  stabilnosti  dinamičkog  sistema;   (iv) verifikacija  i  analiza  metoda  verifikacije  i  validacije dinamičkog  modela;  (v)  kratkoročna  prognoza dinamike  populacije  komarca  i  formulacija hidrološkog modula upotrebom SURFEX površinskešeme sa ECOCLIMAP fiziogeografskim podacima.
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Sikaala, Chadwick. "Community-based monitoring of vector control interventions impact upon mosquito population dynamics in rural Zambia." Thesis, University of Liverpool, 2014. http://livrepository.liverpool.ac.uk/2006479/.

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Over the last decade, the malaria burden has reduced drastically across many parts of sub-Saharan Africa. This is mainly due to effective implementation of integrated malaria control programmes that include large scale application of vector control in the form of long-lasting insecticidal nest (LLINs) and indoor residual spraying (IRS), both of which target the most efficient human-seeking malaria vector species. However, in spite of these efforts, malaria has yet to be eliminated from most of Africa. However, recent increases in the physiological resistance of vector populations, especially to the pyrethroids that remain the only active ingredients currently used on nets threaten these achievements. Furthermore, various forms of behavioural resilience and resistance exhibited by some vector species to LLIN and IRS delivery formats for insecticides respectively limit and undermine these valuable impacts upon malaria transmission. To monitor the impact that LLINs and IRS have on vector population dynamics and malaria transmission, more effective, practical and affordable entomological surveillance systems are required. Currently, surveillance of mosquito populations are conducted by the centralized specialist teams with limited personnel, resources and geographic outreach. None of these existing systems can adequately monitor vector population dynamics longitudinally across the vastness of entire countries. The overall goal of the study was to demonstrate how a community-based surveillance system can be applied to longitudinally monitor vector population dynamics and assess the impact that LLINs and IRS have on malaria transmission in rural Zambia. To achieve this overall goal, the following specific objectives were addressed: (1) To evaluate the efficacy of exposure-free mosquito trapping methods for measuring malaria vector density, as alternatives to human landing catch; (2) To assess the cost-effectiveness using a community-based (CB) mosquito trapping scheme for monitoring vector population dynamics; (3) To determine the extent to which a community-based mosquito trapping scheme captures trends in epidemiological indicators of malaria infection risk; (4) To determine the impact of indoor residual spraying with different classes of insecticides on malaria infection burden and vector abundances in an area of high coverage with insecticide treated nets using a community-based platform. To address objective 1, a 3 x 3 Latin square method was used to evaluate the sensitivity of the Center for Disease and Control and Prevention miniature light traps (LT), the Ifakara tent trap (ITT), window exit traps (WET) and the resting boxes (RB) using the golden standard human land catch (HLC) as the reference method. The mean catches of HLC indoor, HLC outdoor, CDC-LT, ITT, WET, RB indoor and RB outdoor, were 1.687, 1.004, 3.267, 0.088, 0.004, 0.000 and 0.008 for Anopheles quadriannulatus Theobald respectively, and 7.287, 6.784, 10.958, 5.875, 0.296, 0.158 and 0.458, for An. funestus Giles, respectively. The LT (Relative rate (RR) [95% Confidence Interval] = 1.532 [1.441, 1.628] P < 0.001) and ITT (RR = 0.821 [0.765, 0.881], P < 0.001), were the only exposure-free alternatives which had comparable sensitivities relative to HLC indoor for sampling An. funestus. To address objectives 2 and 3, the two most sensitive of these exposure-free trapping methods, the LT and ITT, were applied through a CB longitudinal entomological surveillance system implemented by local community health workers (CHW) trained in basic entomology. This surveillance platform was conducted using a monthly sampling cycle for over 2 years in 14 population clusters distributed across two rural districts covering over 4,000km2 of south-east Zambia. Parallel active surveillance of malaria parasite infection rates amongst humans was also conducted by CHWs in the same population clusters to determine the epidemiological relevance of these CB entomological surveys. Prior to the end of the study, a controlled quality assurance (QA) survey was conducted by a centrally supervised expert team using HLC, LT and ITT to evaluate accuracy of the CB trapping data. While the relative sampling efficiencies of both CB surveys were less than their QA counterparts, the costs of implementing per sampling night were far less expensive than any QA survey. The cost per specimen of Anopheles funestus captured was lowest for CB-LT ($5.3), followed by potentially hazardous QA-HLC ($10.5) and then CB-ITT ($28.0). Time-trends of malaria diagnostic positivity (DP) followed those of An. funestus density with a one-month lag and the wide range of mean DP across clusters was closely associated with mean densities of An. funestus caught by CB-LT (P<0.001). To address objective 4, the same 14 cluster populations, with pre-existing high coverage of pyrethroid-impregnated long-lasting insecticidal nets (LLINs), were quasi-randomly assigned to receive IRS with either of two pyrethroid formulations, namely Deltamethrin (Wettable granules (WG)) (DM-WG) and Lambdacyhalothrin (Capsule suspension (CS)) (LC-CS), or with an emulsifiable concentrate (EC) or CS formulation of the organophosphate pirimiphosmethyl (PM), or with no supplementary vector control measure. DP conducted is described in objective 2. Over the first 3 months, the PM-CS IRS supplement offered the greatest level of protection against malaria followed by LC-SC and then by DM-WG. Neither pyrethroid formulation provided protection beyond 3 months after spraying, but both PM CS and EC formulations persisted for 6 months and 12 months respectively. The CS formulation of PM provided greater protection than the combined pyrethroid IRS formulations throughout its effective life (Incremental protective efficacy (IPE) [95%CI] = 0.79 [0.75, 0.83]) over 6 months. The EC formulation of PM provided incremental protection for the first three months (IPE [95%CI] = 0.23 [0.15, 0.31]) that was approximately equivalent to the two pyrethroid formulations (LC-CS, IPE [95%CI] = 0.31 [0.10, 0.47] and DM-WG, IPE [95%CI] = 0.19 [-0.01, 0.35]) but the additional protection provided by the former, apparently lasted an entire year. There were no obvious differences in the densities of An. funestus during the first three months post-spraying for both pyrethroid formulations (DM-WG (IPE[95%CI]=0.01[-0.56,0.37],P=0.103) and LC-CS (IPE[95%CI]=-0.03[-0.88,0.44],P=0.195) and PM-EC (IPE[95%CI]=-0.04[-0.30,0.17], P=0.103). However, where PM-CS was applied, mosquito densities were dramatically reduced during the same period (IPE [95%CI] =0.93[0.87, 0.97], P<0.001). Between the fourth and the sixth month after spraying with DM-WG, there was an apparent, but presumably spurious, three-fold increase in An. funestus densities while LC-CS, PM-EC and PM-CS achieved 5, 3 and 71-fold reductions, respectively. However, from the seventh to twelfth months after spraying, DM-WG and PM-EC had no obvious effect on the An. funestus densities while insufficient data was available to examine the incremental impact of LC-CS or PM-CS. When applied at this pilot scale, this CB mosquito-trapping scheme provided entomological evidence that complements epidemiological monitoring data to demonstrate how supplementing LLINs with IRS can reduce malaria transmission beyond levels achieved with LLINs alone in this setting where physiological resistance to pyrethroids occurs, especially when a non-pyrethroid organophosphate insecticide is used. Overall, it appears that CB trapping schemes are affordable, cost-effective, and epidemiologically relevant. It also appears, based on the evidence from this pilot scale evaluation, that they may be applicable to routine programmatic monitoring of vector population dynamics on unprecedented national scales.
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MENDES, Cristina Isabel Rodrigues. "Population diversity and transmission dynamics of Plasmodium sp." Doctoral thesis, Instituto de Higiene e Medicina Tropical, 2014. http://hdl.handle.net/10362/19310.

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Apesar dos esforços desenvolvidos nas últimas décadas, a malária continua a ser um dos maiores problemas de saúde pública no mundo, sendo a principal causa de morbilidade e mortalidade principalmente na África Subsaariana. Fazer uma análise global, que integre todos os intervenientes deste sistema complexo, que engloba três entidades biológicas, fatores socioeconómicos e ambientais, não é fácil, mas pensamos ser um ponto fulcral para um maior conhecimento sobre esta doença. Neste estudo, utilizando um conjunto completo de amostras – sangue periférico e mosquitos – pretendeu-se analisar este complexo sistema de forma abrangente. Deste modo, este trabalho teve como principais objetivos: 1) Caraterizar as populações parasitárias circulantes nos dois hospedeiros – humano e mosquito vetor - através da identificação das espécies de Plasmodium presentes; marcadores moleculares de diversidade (Pfmsp2) e marcadores moleculares associados a resistência a fármacos (mutações pontuais nos genes Pfdhps, Pfdhfr, Pfcrt e Pfmdr1); 2) Analisar as pressões seletivas atuantes sobre os genes associados a resistência a fármacos e 3) Analisar a diversidade de genes do mosquito vetor - AgTG1 e AgTG2 - tentando relacioná-los com a presença/ausência de infeção. As amostras biológicas utilizadas para este trabalho foram recolhidas em três países diferentes: na Guiné Equatorial continental foram colhidas amostras de sangue e mosquitos adultos em duas localidades, Miyobo e Ngonamanga. Em Angola obtiveramse as amostras de sangue em quatro localidades diferentes (Gabela, Porto Amboim, Kissala – Sumbe e Praia – Sumbe) e foram ainda usados neste estudo mosquitos adultos provenientes de Antula, Guiné-Bissau. Em relação ao primeiro e segundo objetivos deste trabalho, foi possível constatar a presença das quatro espécies de Plasmodium em ambos os hospedeiros, com prevalências superiores às reportadas oficialmente, incluindo P. vivax, espécie que ainda não tinha sido detetada na Guiné Equatorial continental. Detetou-se igualmente indivíduos Duffy negativos infetados com duas estirpes diferentes de Plasmodium vivax (P. vivax clássico e o P. vivax VK247). Relativamente às mutações pontuais associadas à resistência aos antimaláricos, constatou-se que de um modo geral estas ocorriam em elevada prevalência. Verificou-se igualmente que a resistência à pirimetamina encontrase bem estabelecida neste país, enquanto a resistência à sulfadoxina terá tido uma introdução mais recente. Relativamente ao terceiro e último objetivo deste trabalho, constatou-se que os dois genes estudados - AgTG1 e AgTG2- apresentam fortes sinais de seleção positiva, podendo estar envolvidos no reconhecimento de organismos patogénicos, e por conseguinte envolvidos numa resposta contra a infeção. Por fim, este trabalho permitiu concluir que na Guiné Equatorial continental existem as quatro espécies de Plasmodium, incluindo a espécie P. vivax que até à data não estava descrita no país. Foi encontrada uma elevada prevalência de mutações associadas à resistência à sulfadoxina-pirimetamina, pelo que se recomenda uma contínua monitorização destas mutações. Por fim constatou-se que os genes AgTG1 e AgTG2 apresentam fortes sinais de de seleção positiva, podendo estar envolvidos no reconhecimento de organismos patogénicos, e por conseguinte envolvidos numa resposta contra a infeção. Por fim, este trabalho permitiu concluir que na Guiné Equatorial continental existem as quatro espécies de Plasmodium, incluindo a espécie P.vivax que até à data não estava descrita no país. Foi encontrada uma elevada prevalência de mutações associadas à resistência à sulfadoxina-pirimetamina, pelo que se recomenda uma contínua monitorização destas mutações. Por fim constatou-se que os genes AgTG1 e AgTG2 apresentam fortes sinais de seleção positiva, podendo estar envolvidos na resposta à infeção por Plasmodium.
Despite all efforts made over the past decades, malaria remains a major public health problem in the world, affecting mainly the Sub-Saharan Africa. A comprehensive analysis that integrates all factors in this complex system, which consists of three biological entities, socio-economic and environmental factors, is not easy, but it is crucial for a better understanding of this disease. In this study, using a complete set of peripheral blood samples and mosquitoes, we intended to analyse this complex system. So, the main objectives of this study were to: 1) Characterise the circulating parasite populations in the two hosts – human and mosquito vector - through the identification of Plasmodium species; molecular marker diversity (Pfmsp2) and drug resistance-associated markers (mutations in the genes Pfdhps , Pfdhfr , Pfcrt and Pfmdr1; 2) analyse the selective pressures acting on genes associated with drug resistance and 3 ) analyse the diversity of genes in the mosquito vector - AgTG1 and AgTG2 - trying to relate them to the presence / absence of infection. The biological samples used in this study were collected in three different countries: blood samples were collected in mainland Equatorial Guinea (in two villages: Miyobo and Ngonamanga) and in Angola (in four different villages: Gabela, Porto Amboim, Kissala - Sumbe and Praia - Sumbe); mosquitoes were collected, also, in the two villages of Equatorial Guinea and in Antula, Guinea Bissau. Regarding the first and second objectives of this study, it was possible to detect the presence of the four Plasmodium species in both hosts, with prevalence higher than officially reported, including Plasmodium vivax, a species that had not been previously described in this country. Duffy negative individuals infected with two different strains of P. vivax (VK247 and classic strains) were also found. Concerning the molecular markers associated to drug resistance, high prevalence was found. Results also demonstrated that pyrimethamine resistance has been established for a while in mainland Equatorial Guinea as shown by several selection signatures in the parasite genome, while sulphadoxine had a more recent introduction in this country.Finally and regarding the third and final objective of this study, it was found that the both genes studied - AgTG1AgTG2 - showed strong signs of positive selection. This study revealed that the four Plasmodium species are present in mainland Equatorial Guinea, including P. vivax, specie that had not been described yet in this country. High prevalence of mutation in genes associated with resistance to the sulphadoxine-pyrimethamine combination were found, so it is recommended a close and continuous monitoring of these mutations frequency, since there is the danger of an eventual reduction in the efficacy of combined therapy. Finally it was found that the AgTG1 and AgTG2 genes show strong positive selection signals, which may be involved in recognition and immune response triggered by the mosquito against the invading pathogens, like Plasmodium.
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Hambrick, Bethany Lynn. "Population Dynamics and Community Structure of Mosquitoes (Diptera: Culicidae) Recorded in Denton, Texas from 2005 to 2015." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157552/.

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A population survey was conducted on the mosquito species recorded in Denton, Texas for the years of 2005 to 2015. Data used in this project were obtained from an ongoing, long-term surveillance program led by the City of Denton and conducted through the University of North Texas. Research focused on the population dynamics and community structure of mosquitoes collected within urban areas of Denton, Texas in relation to certain environmental variables. A total of 80,837 female mosquitoes were captured and represented 38 species found under the following genera: Aedes, Anopheles, Coquillettidia, Culex, Culiseta, Mansonia, Orthopodomyia, Psorophora, Toxorhynchites, and Uranotaenia. Culex quinquefasciatus was the most abundant species followed by Aedes vexans. Seasonal patterns of the most abundant species revealed high variability throughout the study. Container breeders were most abundant in August and those that breed in floodwaters were most abundant in the months of May and September. Samples were tested for arbovirus presence through the Texas Department of State Health Services in Austin, Texas and multiple pools tested positive for West Nile virus throughout the study. Stepwise multiple regression and Spearman's rank correlation analyses were performed to examine the relationship between the mosquito community and environmental variables. Data revealed that temperature, precipitation, and dew point were the most important variables influencing the mosquito population in the City of Denton.
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Bolling, Bethany G. "Use of Geographic Information System and Remote Sensing Technologies to Describe Mosquito Population Dynamics in the Ray Roberts Greenbelt, Denton County, Texas." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4160/.

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A population survey was conducted from April through September 2002 on mosquito species occurring on the Ray Roberts Greenbelt, a riparian corridor used for public recreation on the Elm Fork of the Trinity River, in Denton County, Texas. ArcGIS software was used to set up a stratified random sampling design based on habitat parameters. Multivariate analyses of sampling data and climatic variables were used to describe spatial and temporal patterns of mosquito species. A total of 33 species were collected during this study belonging to the following genera: Aedes, Anopheles, Coquillettidia, Culex, Mansonia, Ochlerotatus, Orthopodomyia, Psorophora, Toxorhynchites, and Uranotaenia. Seasonal distributions of the dominant species revealed population fluctuations. Aedes vexans was the primary species collected in April and May, occurring in low numbers throughout the rest of the sampling period. Psorophora columbiae reached its highest population density in June, with a smaller peak occurring in late July. Present from May through the end of September, Culex erraticus was the most abundant species collected with major peaks in mid-June and the end of July. Abundance of Culex salinarius followed the same general trend as that for Cx. erraticus, but with smaller numbers. The specimens were tested for a variety of arboviruses by the Texas Department of Health. One pool of Cx. erraticus and Cx. salinarius, collected in August 2002, tested positive for West Nile virus. Variables that were important factors for determining dominant species abundance were temperature, wind speed, rain accumulation occurring one-week and two-weeks prior to sampling, number of day since last rain event, dew point, and average canopy coverage.
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Yamashita, William Massayuki Sakaguchi. "Modelagem física e computacional da dinâmica populacional do mosquito Aedes aegypti." Universidade Federal de Juiz de Fora (UFJF), 2018. https://repositorio.ufjf.br/jspui/handle/ufjf/8022.

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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
A incidência global dos vírus da Dengue e, mais recentemente, do Zika, Chikungunya e Febre Amarela, tem aumentado o interesse em estudar e compreender a dinâmica populacional do mosquito. Essas doenças são predominantemente disseminadas pelo Aedes aegypti nos países tropicais e subtropicais do mundo. Compreender essa dinâmica é importante para a saúde pública nos países, onde as condições climáticas e ambientais são favoráveis para a propagação destas doenças. Por essa razão, modelos que estudam a dinâmica populacional em uma cidade são de suma importância. Este trabalho discute a modelagem numérica da dinâmica populacional do mosquito Aedes aegypti em uma vizinhança urbana de uma cidade. Em um primeiro momento, apresentamos os resultados teóricos preliminares de modelos unidimensionais. Em seguida, propomos um modelo bidimensional utilizando equações diferenciais parciais. Este modelo permite incorporar fatores externos (vento e inseticidas químicos) e dados topográficos (ruas, blocos de construção, parques, florestas e praias). O modelo proposto foi testado em exemplos envolvendo duas cidades brasileiras (o centro da cidade de Juiz de Fora e a Praia de Copacabana no Rio de Janeiro).
The global incidence of the Dengue virus and, more recently, the Zika, Chikungunya and Yellow Fever, has increased interest in studying and understanding the population dynamics of the mosquito. These diseases are predominantly disseminated by Aedes aegypti in the tropical and subtropical countries of the world. Understanding this dynamics is important for public health in countries, where climatic and environmental conditions are favorable for the spread of these diseases. For this reason, models that study the population dynamics in a city are of short importance. This work discusses the numerical modeling of the population dynamics of the mosquito Aedes aegypti in an urban neighborhood of a city. First, we present the preliminary theoretical results of one-dimensional models. Next, we propose a two-dimensional model using partial differential equations. This model allows incorporating external factors (wind and chemical insecticides) and topographic data (streets, building blocks, parks, forests and beaches). The proposed model was tested in examples involving two Brazilian cities (the city center of Juiz de Fora and Copacabana Beach in Rio de Janeiro).
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Johnson, Todd. "Population composition and seasonal dynamics of mosquito communities across landscape gradients in southern Africa, with emphasis on selected arbovirus vector species and their role in disease transmission." Thesis, University of Pretoria, 2020. http://hdl.handle.net/2263/73323.

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Mosquito-borne arboviruses are of considerable public health importance as they cause some of the most important emerging and re-emerging infectious diseases affecting humans and animals in many parts of the world including southern Africa. The threat of large epidemics of mosquito-borne arboviruses are often associated with climatic conditions, global warming, animal migrations, surface water, wind, topography, harbourage, vegetation, food supply and abundance of competent mosquito vectors. The goal of this project is to provide an in depth understanding of mosquito community dynamics and the importance of mosquito vector populations in the maintenance and transmission of mosquito-borne diseases in southern Africa. Firstly, a review of past and current literature was conducted to highlight: (a) the current state of knowledge regarding the most important mosquito-borne viruses of medical significance in southern Africa (b) lesser known mosquito-borne arboviruses with the potential of causing zoonotic health threats for humans in southern Africa. (c) key aspects of the ecology of mosquito vectors of medically significant mosquito-borne viruses in southern Africa. d) gaps in knowledge regarding southern African arbovirus mosquito vectors. Most of the studies on mosquito-borne viruses in southern Africa can be clustered into specific programmes led by Kokernot and Smithburn in the 1950s, McIntosh in the 1970s and 1980s, Swanepoel in the 1970s, Venter and others in more recent years, and have largely been restricted to South Africa, Mozambique and Zimbabwe. Twenty-six (26) arboviruses have been isolated from mosquitoes in southern Africa. Of these, Chikungunya (CHIK), Sindbis (SIN), West Nile (WN), Wesselsbron (WES), Spondweni (SPO), Banzi (BAN), Dengue (DEN), Bunyamwera (BUN), Germiston (GER) and Rift Valley fever (RVF) viruses are known to cause human illness. Middelburg (MID) and Shuni (SHUN) viruses are also important, causing neurological symptoms in animals with zoonotic potential for humans in South Africa. There are eight mosquito-borne arboviral infections most likely to impact humans in southern Africa (CHIK, MID, SIN, DEN, WES, WN, SHUN and RVF viruses). Mosquitoes in the subfamily Culicinae (mostly Aedes and Culex mosquitoes) are the most frequently associated with arbovirus transmission (115 and 105 types of arbovirus, respectively). Understanding the role of mosquito vector species in arbovirus transmission is vital for the development of new strategies to control the spread of arboviral diseases. In southern Africa, a few species in the genera Anopheles, Coquillettidia and Mansonia have also been implicated as vectors of arboviruses. Surveys over multiple decades across southern Africa have provided an insight regarding which species of mosquitoes are involved in the transmission of at least the most common of the mosquito-borne zoonotic arboviruses. These cluster within the genera Aedes and Culex, each representing a different transmission strategy. Aedes-borne viruses such as CHIK, DEN and WES tend to have primate or human reservoir hosts (McIntosh, 1986), while Culex-borne viruses often use birds as reservoir hosts, and these factors influence the distribution and epidemiology of the diseases they cause in humans and animals. Aedes and Culex have different breeding strategies and preferences which also represent fundamental differences. These mosquitoes are Aedes aegypti, Aedes furcifer/cordellieri, Aedes circumluteolus, Aedes unidentatus, Aedes mcintoshi, Aedes caballus, Aedes juppi, Culex theileri, Culex zombaensis, Culex univittatus, Culex neavei and Culex rubinotus. To determine mosquito community dynamics and mosquito vector distributions, sampling mosquito vectors at six sentinel sites in three provinces in the northern part of South Africa where recent cases had been detected in animals. Adult mosquitoes were collected from two horse properties in Gauteng Province; two wildlife reserves in Limpopo Province and at Orpen Gate in Kruger National Park and Mnisi Area in Mpumalanga Province between 2014–2017, using carbon dioxide-baited light and tent traps. Culex poicilipes, was the most abundant species caught during the study period. Highest diversity and species richness were found at Lapalala Wilderness Reserve, while the lowest diversity and abundances were at Orpen in Kruger National Park. Aedes aegypti, Ae. mcintoshi, Ae. metallicus, Ae. vittatus, Cx. pipiens sensu lato, Cx. theileri and Cx. univittatus, which are potential arbovirus vectors, had the widest geographical distribution in northern South Africa. Also collected were Anopheles arabiensis and An. vaneedeni, both known malaria vectors in South Africa. Therefore, arbovirus surveillance and vector control programs should be augmented in peri-urban and mixed rural settings where there is greater risk for arbovirus transmission to humans and domestic stock. Since climate has reportedly been associated with disease transmission, it’s important to understand the extent of its influence on mosquito abundance and distribution in northern South Africa. Thus, population composition, abundance and diversity of mosquitoes collected over a three-year period were determined and correlated to diverse climatic conditions during those years in order to determine seasonal trends in occurrence, abundance and distribution. Marked differences in the temporal distribution and seasonal abundances of the seven medically important mosquito vectors encountered from the two distinct geographic regions and climates. Statistical models have shown that climatic factors play a crucial role in shaping the population dynamics of Ae. mcintoshi, Ae. vittatus, An. arabiensis, Cx. pipiens s.l., Cx. poicilipes, Cx. theileri and Cx. univittatus both in Highveld Grassland and Middleveld Bushveld regions of northern South Africa. High summer temperatures and rainfall lead to increased vector density which might trigger outbreaks of RVF, SIN and WN viruses on the inland plateau of South Africa. This study also showed that abundances of RVF and WN virus vectors are related to elevation. These findings will be important in predicting the timing of onset and spread of future epidemics such as WN and RVF viruses, in southern Africa and other geographical settings with similar climates.
Thesis (PhD)--University of Pretoria, 2020.
University of Pretoria US Centers for Disease Control and Prevention
Medical Virology
PhD
Unrestricted
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Book chapters on the topic "Mosquito population dynamics"

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Lamar Meek, C., and Jimmy K. Olson. "Determination of Riceland Mosquito Population Dynamics." In Springer Series in Experimental Entomology, 107–39. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3124-0_3.

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Teboh-Ewungkem, Miranda I., Gideon A. Ngwa, and Mary Y. Fomboh-Nforba. "A Multistage Mosquito-Centred Mathematical Model for Malaria Dynamics that Captures Mosquito Gonotrophic Cycle Contributions to Its Population Abundance and Malaria Transmission." In Infectious Diseases and Our Planet, 97–148. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50826-5_5.

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Yang, Hyun Mo, José Luiz Boldrini, Artur Cesar Fassoni, Karla Katerine Barboza de Lima, Luiz Fernando Souza Freitas, Miller Ceron Gomez, Valmir Roberto Andrade, and André Ricardo Ribas Freitas. "Abiotic Effects on Population Dynamics of Mosquitoes and Their Influence on Dengue Transmission." In Ecological Modelling Applied to Entomology, 39–79. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06877-0_3.

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Paul, Python Ndekou Tandong, Alassane Bah, Papa Ibrahima Ndiaye, and Jacques André Ndione. "An Agent Based Model to Study the Impact of Intra-annual Season’s Variability on the Dynamics of Aedes Vexans and Culex Poicilipes Mosquito Populations in North Senegal (Ferlo)." In Applied Computational Intelligence and Mathematical Methods, 381–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67621-0_35.

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"Dynamical system and evolution algebra of mosquito population." In Population Dynamics, 379–400. WORLD SCIENTIFIC, 2020. http://dx.doi.org/10.1142/9789811211232_0011.

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Bonsall, Michael B. "Vector Control, Optimal Control, and Vector-Borne Disease Dynamics." In Population Biology of Vector-Borne Diseases, 267–88. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853244.003.0015.

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Understanding methods of vector control is essential to vector-borne disease (VBD) management. Vaccines or standard medical interventions for many VDBs do not exist or are poorly developed so disease control is focused on managing vector numbers and dynamics. This involves understanding not only the population dynamics but also the population genetics of vectors. Using mosquitoes as a case study, in this chapter, the modern genetics-based methods of vector control (self-limiting, self-sustaining) on mosquito population and disease suppression will be reviewed. These genetics-based methods highlight the importance of understanding the interplay between genetics and ecology to develop optimal, cost-effective solutions for control. The chapter focuses on how these genetics-based methods can be integrated with other interventions, and concludes with a summary of regulatory and policy perspectives about the use of these approaches in the management of VBDs.
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Reiner Jr., Robert C., and David L. Smith. "Heterogeneity, Stochasticity and Complexity in the Dynamics and Control of Mosquito-Borne Pathogens." In Population Biology of Vector-Borne Diseases, 13–28. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853244.003.0002.

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A theory for the transmission dynamics and control of malaria was developed around a set of concepts, quantities, and mathematical models introduced by Ronald Ross. Decades later, Macdonald linked Ross's models to epidemiological and entomological data, developed the concept of the basic reproductive number, R0, and proposed a rudimentary theory of control based on sensitivity to parameters. Here, we review development of the Ross–Macdonald model, present one simple version, and provide an eclectic critique of the theory based on studies conducted more recently. While mosquito populations are logically necessary for mosquito-borne pathogen transmission, the study of transmission since then shows it is noisy, heterogeneous, and complex. Heterogeneity, stochasticity, and complexity represent important challenges for applying theory in context.
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"Little was known about MVE virus, its vertebrate hosts or its vectors before the establishment of the Ord River irrigation area. Early serological studies by Stanley and Choo (1961; 1964) on human sera collected in 1960 from Halls Creek in East Kimberley and Derby in West Kimberley had demonstrated that the virus was circulating in these areas. However, no clinical cases of encephalitis had been reported, which may have been due to the small human population in the region prior to 1960, to a lack of awareness by clinicians, to low virus carriage rates in mosquitoes, or to a combination of these factors. Similarly, no cases of encephalitis had been reported in the Northern Territory. The first clinical case of Murray Valley encephalitis (now known as Australian encephalitis) occurred in 1969 (Table 8.1), a fatal case that was acquired by a tourist south of the Ord River irrigation area (Cook et al. 1970). Only limited information was available on the mosquito species prevalent in the Ord River area before 1972, although Culex annulirostris, believed to be the major vector for MVE virus from studies carried out by Doherty and colleagues in north Queensland (Doherty et al. 1963), was found to be present (H. Paterson, personal communication to Stanley 1972), and was the dominant species (H. Paterson, personal communication to Stanley 1975). Thus prior to the completion of stage one of the Ord River irrigation area, serological evidence had been obtained to demonstrate that MVE virus caused subclinical human infections, but no clinical cases had been reported. Between the completion of stage one and stage two, the first clinical case of encephalitis was reported, and limited information on the mosquito fauna was obtained but without details of mosquito numbers or population dynamics. 8.3 Studies on Murray Valley encephalitis from 1972 8.3.1 Early studies, 1972—1976 A series of investigations on the ecology of MVE virus in the Ord River irrigation area and on the effect of the completion of the Ord River dam were initiated by Stanley and colleagues in 1972. The major components comprised: regular mosquito collections obtained just before and immediately after the wet season to determine the number and proportion of each species at different sites, and for isolation of viruses; serological studies of animals and birds to investigate their roles as possible vertebrate or reservoir hosts; and serological studies of the human population, both Caucasian and Aboriginal, to determine subclinical infection rates and to assess potential risks. These studies yielded a number of important findings which have provided the basis for much of our knowledge of MVE ecology in north-western Australia. The major findings were as follows. • Mosquitoes. Using live bait traps to collect mosquitoes, it appeared that there had been a significant increase in mosquito numbers since the construction of the diver-." In Water Resources, 128. CRC Press, 1998. http://dx.doi.org/10.4324/9780203027851-21.

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Conference papers on the topic "Mosquito population dynamics"

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Syafarina, Inna, Rifki Sadikin, and Nuning Nuraini. "Mosquito population dynamics from cellular automata-based simulation." In PROGRESS IN APPLIED MATHEMATICS IN SCIENCE AND ENGINEERING PROCEEDINGS. AIP Publishing LLC, 2016. http://dx.doi.org/10.1063/1.4940299.

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Hamdan, Nur ’Izzati, and Adem Kilicman. "The effect of temperature on mosquito population dynamics of Aedes aegypti: The primary vector of dengue." In PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0018084.

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Vaidya, Aditya, Angel D. Bravo-Salgado, and Armin R. Mikler. "Modeling climate-dependent population dynamics of mosquitoes to guide public health policies." In BCB '14: ACM-BCB '14. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2649387.2649415.

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Widayani, H., Seprianus, N. Nuraini, and J. Arum. "Simulation of mosquitoes population dynamic based on rainfall and average daily temperature." In SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4866549.

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Santos, Fernando Luiz Pio dos. "A general discrete patches approach to investigate the populational dynamics of mosquitoes and humans in dengue." In III CMAC-SE - Congresso de Matemática Aplicada e Computacional Sudeste. SBMAC, 2015. http://dx.doi.org/10.5540/03.2015.003.02.0016.

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