The Effects of Nutrition on Survival and Fecundity in Florida Mosquitoes Part 3. Utilization of blood and sugar for fecundity1

Nayar, Jai K.; Sauerman, D. M.

doi:10.1093/jmedent/12.2.220

Cited by 59 publications

(43 citation statements)

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“…Fecundity Females lay a number of eggs that is roughly proportional to their body weight (46.5 eggs/mg) (Bar-Zeev, 1957;Nayar and Sauerman, 1975). The mean weight of a 3-day-old female is 1.35 mg (Christophers, 1960), hence we estimate the average number of eggs laid in one oviposition as egn = 63.…”

Section: Pupa Mortalitymentioning

confidence: 99%

A Stochastic Spatial Dynamical Model for Aedes Aegypti

2008

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We develop a stochastic spatial model for Aedes aegypti populations based on the life cycle of the mosquito and its dispersal. Our validation corresponds to a monitoring study performed in Buenos Aires. Lacking information with regard to the number of breeding sites per block, the corresponding parameter (BS) was adjusted to the data. The model is able to produce numerical data in very good agreement with field results during most of the year, the exception being the fall season. Possible causes of the disagreement are discussed. We analyzed the mosquito dispersal as an advantageous strategy of persistence in the city and simulated the dispersal of females from a source to the surroundings along a 3-year period observing that several processes occur simultaneously: local extinctions, recolonization processes (resulting from flight and the oviposition performed by flyers), and colonization processes resulting from the persistence of eggs during the winter season. In view of this process, we suggest that eradication campaigns in temperate climates should be performed during the winter time for higher efficiency.

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Section: Pupa Mortalitymentioning

confidence: 99%

A Stochastic Spatial Dynamical Model for Aedes Aegypti

2008

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“…Females lay a number of eggs that is roughly proportional to their body weight (46.5 eggs/mg) (Bar-Zeev, 1957;Nayar and Sauerman, 1975). The mean weight of a three-day-old female is 1.35 mg (Christophers, 1960), hence we estimate the average number of eggs laid in one oviposition as egn = 63.…”

Section: Mortality Emergence and Oviposition Ratesmentioning

confidence: 99%

A Stochastic Population Dynamics Model for Aedes Aegypti: Formulation and Application to a City with Temperate Climate

2006

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Aedes aegypti is the main vector for dengue and urban yellow fever. It is extended around the world not only in the tropical regions but also beyond them, reaching temperate climates. Because of its importance as a vector of deadly diseases, the significance of its distribution in urban areas and the possibility of breeding in laboratory facilities, Aedes aegypti is one of the best-known mosquitoes. In this work the biology of Aedes aegypti is incorporated into the framework of a stochastic population dynamics model able to handle seasonal and total extinction as well as endemic situations. The model incorporates explicitly the dependence with temperature. The ecological parameters of the model are tuned to the present populations of Aedes aegypti in Buenos Aires city, which is at the border of the present day geographical distribution in South America. Temperature thresholds for the mosquito survival are computed as a function of average yearly temperature and seasonal variation as well as breeding site availability. The stochastic analysis suggests that the southern limit of Aedes aegypti distribution in South America is close to the 15 degrees C average yearly isotherm, which accounts for the historical and current distribution better than the traditional criterion of the winter (July) 10 degrees C isotherm.

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“…Other than microclimate, the availability of sugar and blood can considerably inßuence survival, feeding behavior, and malaria transmission potential (Nayar and Sauerman 1975a, 1975b, 1975cBeier 1996;Gary and Foster 2001). All the important African malaria vectors are anautogenous and require at least one blood meal to complete each gonotrophic cycle and successfully lay eggs (Briegel and Hó rler 1993).…”

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Influence of Sugar Availability and Indoor Microclimate on Survival ofAnopheles gambiae(Diptera: Culicidae) Under Semifield Conditions in Western Kenya

et al. 2003

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The influence of indoor microclimate on survival of female Anopheles gambiae sensu stricto Giles (Diptera: culicidae) mosquitoes fed on different nutrition sources was evaluated in a semifield experimental hut exposed to ambient climate in western Kenya. Cages of mosquitoes (n approximately 50 per cage) were placed in nine positions within the hut combining three different sides and three different heights. At each height and side, mosquitoes were offered either human blood (once every 2 d), glucose (6% wt:vol) or a combination of the two diets over three experiments so that each cage position received one diet source. The effect of diet on survival was significant with mean survival times of 14 d for mosquitoes fed blood alone, 29 d for sugar alone and 33 d for blood plus sugar. Sugar availability decreased the odds of mortality approximately 85% compared with the blood group. Micro heterogeneities of temperature but not relative humidity also influenced survival although to a much lesser extent. The side but not height within the hut at which mosquitoes were placed, influenced survival but could not be explained by either temperature or relative humidity differences. The potential influence of seemingly minor heterogeneities of indoor microclimate upon vector longevity and vectorial capacity may merit further investigation. Also, the availability of sugar was shown to be a potentially crucial determinant of vectorial capacity. Compared with blood alone, the availability of sugar served to increase survival potential of vectors beyond ages at which they are old enough to transmit malaria.

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The Effects of Nutrition on Survival and Fecundity in Florida Mosquitoes Part 3. Utilization of blood and sugar for fecundity1

Cited by 59 publications

References 0 publications

A Stochastic Spatial Dynamical Model for Aedes Aegypti

A Stochastic Spatial Dynamical Model for Aedes Aegypti

A Stochastic Population Dynamics Model for Aedes Aegypti: Formulation and Application to a City with Temperate Climate

Influence of Sugar Availability and Indoor Microclimate on Survival ofAnopheles gambiae(Diptera: Culicidae) Under Semifield Conditions in Western Kenya

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