Landing Preference of<i>Aedes albopictus</i>(Diptera: Culicidae) on Human Skin Among ABO Blood Groups, Secretors or Nonsecretors, and ABH Antigens

Shirai, Yoshikazu; Funada, Hisashi; Takizawa, Hisao; Seki, Taisuke; Morohashi, Masaaki; Kamimura, Kiyoshi

doi:10.1603/0022-2585-41.4.796

Cited by 35 publications

(25 citation statements)

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“…At those fine scales, DNA profiling of mosquito blood meals provides direct evidence for heterogeneous biting by the mosquitoes that transmit filarial worms, dengue virus, and malaria parasites [27]–[29]. Studies have shown that heterogeneous mosquito biting is associated with human body size [30], [31], defensive behavior [32], [33], pregnancy [34], [35], blood type [36], alcohol consumption [37], [38], and some volatile chemicals [39] found in breath and sweat [40]–[43]. Other studies have found that heterogeneity exists among households due to factors such as proximity to the aquatic habitats of immature mosquitoes [26], the type of house [44], [45], the prevailing direction of the wind [46], and other factors associated with mosquito movement patterns [46]–[48].…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission

et al. 2013

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The Ross-Macdonald model has dominated theory for mosquito-borne pathogen transmission dynamics and control for over a century. The model, like many other basic population models, makes the mathematically convenient assumption that populations are well mixed; i.e., that each mosquito is equally likely to bite any vertebrate host. This assumption raises questions about the validity and utility of current theory because it is in conflict with preponderant empirical evidence that transmission is heterogeneous. Here, we propose a new dynamic framework that is realistic enough to describe biological causes of heterogeneous transmission of mosquito-borne pathogens of humans, yet tractable enough to provide a basis for developing and improving general theory. The framework is based on the ecological context of mosquito blood meals and the fine-scale movements of individual mosquitoes and human hosts that give rise to heterogeneous transmission. Using this framework, we describe pathogen dispersion in terms of individual-level analogues of two classical quantities: vectorial capacity and the basic reproductive number, . Importantly, this framework explicitly accounts for three key components of overall heterogeneity in transmission: heterogeneous exposure, poor mixing, and finite host numbers. Using these tools, we propose two ways of characterizing the spatial scales of transmission—pathogen dispersion kernels and the evenness of mixing across scales of aggregation—and demonstrate the consequences of a model's choice of spatial scale for epidemic dynamics and for estimation of , both by a priori model formulas and by inference of the force of infection from time-series data.

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Section: Introductionmentioning

confidence: 99%

Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission

et al. 2013

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“…For a vector-borne disease, such as malaria, heterogeneity in the mixing rate is often a result of host-related factors, such as differential attractiveness to mosquitoes (e.g. Port et al, 1980;Shirai et al, 2004;Lindsay et al, 2000) or the use of bed nets (Lengeler et al, 2004). Heterogeneity in the mixing rate for sexually transmitted infections can be affected by including rate of sexual partner change, sexual practices (Joseph Hotz Avner Ahituv and Philipson, 1996), and access to condoms (Chimbindi et al, 2010;MacPhail et al, 2009;Bassett and Mhloyi, 1991;Pettifor et al, 2004).…”

Section: Mixing Ratementioning

confidence: 99%

“…Malaria is a well known example of a disease with heterogeneity in the mixing rate: some hosts are more attractive to mosquitoes for a variety of reasons, including body size (Port et al, 1980), blood type (Shirai et al, 2004), pregnancy (Lindsay et al, 2000;Ansell et al, 2002), and alcohol consumption (Shirai et al, 2002;Lefèvre et al, 2010), among others. An example of a directly transmitted disease with heterogeneity in the mixing rate of infected individuals is SARS.…”

Section: Mixing Ratementioning

confidence: 99%

Estimating finite-population reproductive numbers in heterogeneous populations

Keegan

Dushoff

2016

Journal of Theoretical Biology

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The basic reproductive number, R0, is one of the most important epidemiological quantities. R0 provides a threshold for elimination and determines when a disease can spread or when a disease will die out. Classically, R0 is calculated assuming an infinite population of identical hosts. Previous work has shown that heterogeneity in the host mixing rate increases R0 in an infinite population. However, it has been suggested that in a finite population, heterogeneity in the mixing rate may actually decrease the finite-population reproductive numbers. Here, we outline a framework for discussing different types of heterogeneity in disease parameters, and how these affect disease spread and control. We calculate "finite-population reproductive numbers" with different types of heterogeneity, and show that in a finite population, heterogeneity has complicated effects on the reproductive number. We find that simple heterogeneity decreases the finite-population reproductive number, whereas heterogeneity in the intrinsic mixing rate (which affects both infectiousness and susceptibility) increases the finite-population reproductive number when R0 is small relative to the size of the population and decreases the finite-population reproductive number when R0 is large relative to the size of the population. Although heterogeneity has complicated effects on the finite-population reproductive numbers, its implications for control are straightforward: when R0 is large relative to the size of the population, heterogeneity decreases the finite-population reproductive numbers, making disease control or elimination easier than predicted by R0.

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“…Among the preference for human ABO blood groups, Anopheles gambiae has shown attraction to AB group [10] and the Ae. albopictus to O group [11]. However, the influence on blood type for mosquito fecundity has not been reported.…”

Section: Introductionmentioning

confidence: 99%

Blood Feeding Preference of Female <i>Aedes aegypti</i> Mosquitoes for Human Blood Group Types and Its Impact on Their Fecundity: Implications for Vector Control

Prasadini¹

2019

AJE

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Aedes aegypti is the major vector of Dengue in Sri Lanka. Dengue virus is transmitted via blood feeding of vector mosquitoes. Blood is an essential component for the fecundity of mosquitoes and the knowledge on feeding behaviour of Ae. aegypti is important in dengue prevention measures. Therefore, the study was designed to identify the preferential feeding of Ae. aegypti on human ABO blood groups and their impacts on fecundity. Laboratory reared female Ae. aegypti mosquitoes were exposed to all four blood groups at once in separate membrane feeders. After feeding, DNA of blood in mosquitoes was extracted and identified using ABO genotyping PCR. Fecundity was determined by the mean number of eggs in an egg batch. The highest preference was observed for the blood group "O" (P<0.05; 0.00). The mean number of egg production of each blood group was not significantly different showing no impact on the blood type for the fecundity. This study reports for the first time that there is no direct impact of the preferred blood group on the fecundity of Ae. aegypti female mosquitoes. Furthermore, preference of blood group selection by female mosquitoes would be highly important in personal protection measures against mosquito bites, as the personal protection is one of the most effective control measures for prevention of Dengue.

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Landing Preference ofAedes albopictus(Diptera: Culicidae) on Human Skin Among ABO Blood Groups, Secretors or Nonsecretors, and ABH Antigens

Cited by 35 publications

References 4 publications

Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission

Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission

Estimating finite-population reproductive numbers in heterogeneous populations

Blood Feeding Preference of Female <i>Aedes aegypti</i> Mosquitoes for Human Blood Group Types and Its Impact on Their Fecundity: Implications for Vector Control

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Landing Preference ofAedes albopictus(Diptera: Culicidae) on Human Skin Among ABO Blood Groups, Secretors or Nonsecretors, and ABH Antigens

Cited by 35 publications

References 4 publications

Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission

Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission

Estimating finite-population reproductive numbers in heterogeneous populations

Blood Feeding Preference of Female &lt;i&gt;Aedes aegypti&lt;/i&gt; Mosquitoes for Human Blood Group Types and Its Impact on Their Fecundity: Implications for Vector Control

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Blood Feeding Preference of Female <i>Aedes aegypti</i> Mosquitoes for Human Blood Group Types and Its Impact on Their Fecundity: Implications for Vector Control