Effect of Temperature of Extrinsic Incubation on the Vector Competence of Culex tarsalis for Western Equine Encephalomyelitis Virus

Ld, Kramer; Jl, Hardy; Sb, Presser

doi:10.4269/ajtmh.1983.32.1130

Cited by 102 publications

(93 citation statements)

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“…6 ( C and D ) Western equine encephalomyelitis virus dissemination in Culex tarsalis . 9,10 For the Cx . tarsalis -western equine encephalomyelitis virus system, percentages correspond to oral transmission and not dissemination, and the values were approximated from figures in the original publications.…”

Section: Model I: Relationship Between Mosquito Infection and Infectimentioning

confidence: 99%

“…tarsalis in the laboratory were available. 9,10 A single value for the proportion of infected mosquitoes ( INF t ) was considered for the present model. The term INF t included latent and infectious mosquitoes as dissemination progressed over time.…”

Section: Model I: Relationship Between Mosquito Infection and Infectimentioning

confidence: 99%

“…At 25°C, only 4% of mosquitoes were capable of transmission after 6 days, but the fraction increased to 35% after 12 days. 9 A different experiment found that approximately 70% of the infected Cx . tarsalis transmitted virus orally to capillary tubes seven days post-infection at 30°C, but after 12 days this fraction had decreased to approximately 12%.…”

Section: Introductionmentioning

confidence: 99%

“…tarsalis females to modulate viral dissemination from the mesenteron to the salivary glands or a decrease in the secretory function of the salivary glands caused by cell pathologic changes. 9,10 Dissemination responses to changes in temperature are nonlinear for WEEV in Cx . tarsalis .…”

Section: Introductionmentioning

confidence: 99%

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Sources of Error in the Estimation of Mosquito Infection Rates Used to Assess Risk of Arbovirus Transmission

Bustamante¹,

Lord²

2010

The American Society of Tropical Medicine and Hygiene

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Abstract. Infection rate is an estimate of the prevalence of arbovirus infection in a mosquito population. It is assumed that when infection rate increases, the risk of arbovirus transmission to humans and animals also increases. We examined some of the factors that can invalidate this assumption. First, we used a model to illustrate how the proportion of mosquitoes capable of virus transmission, or infectious, is not a constant fraction of the number of infected mosquitoes. Thus, infection rate is not always a straightforward indicator of risk. Second, we used a model that simulated the process of mosquito sampling, pooling, and virus testing and found that mosquito infection rates commonly underestimate the prevalence of arbovirus infection in a mosquito population. Infection rate should always be used in conjunction with other surveillance indicators (mosquito population size, age structure, weather) and historical baseline data when assessing the risk of arbovirus transmission.

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Section: Model I: Relationship Between Mosquito Infection and Infectimentioning

confidence: 99%

Section: Model I: Relationship Between Mosquito Infection and Infectimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sources of Error in the Estimation of Mosquito Infection Rates Used to Assess Risk of Arbovirus Transmission

Bustamante¹,

Lord²

2010

The American Society of Tropical Medicine and Hygiene

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“…It has also been reported to lower the feeding rate, therefore reduce the chance for host contact on mosquito, and eventually affect the rate of viral transmission (Russell, 1998b;Gubler et al, 2001). Furthermore, previous research has shown that the extrinsic incubation period and viral development rate can be shortened with higher temperature, through which the greater proportions of mosquitoes becoming infectious at a given time will be expected (Kramer et al, 1983;Turell, 1993;Russell, 1998a;Kay and Jennings, 2002;Mourya et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

2013

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Abstract. Barmah Forest virus (BFV) disease is the second most common mosquito-borne disease in Australia but few data are available on the risk factors. We assessed the impact of spatial climatic, socioeconomic and ecological factors on the transmission of BFV disease in Queensland, Australia, using spatial regression. All our analyses indicate that spatial lag models provide a superior fit to the data compared to spatial error and ordinary least square models. The residuals of the spatial lag models were found to be uncorrelated, indicating that the models adequately account for spatial and temporal autocorrelation. Our results revealed that minimum temperature, distance from coast and low tide were negatively and rainfall was positively associated with BFV disease in coastal areas, whereas minimum temperature and high tide were negatively and rainfall was positively associated with BFV disease (all P-value <0.05). The study demonstrates that BFV disease is more densely distributed in coastal areas and is influenced by climatic and ecological factors. The spatial analytical approach used in this study may have ramifications in the planning and implementation of BFV disease prevention and control programmes.

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Climate Change Effects on Infectious Diseases

Baylis

Risley

2012

Encyclopedia of Sustainability Science and Technology Series

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Effect of Temperature of Extrinsic Incubation on the Vector Competence of Culex tarsalis for Western Equine Encephalomyelitis Virus

Cited by 102 publications

References 0 publications

Sources of Error in the Estimation of Mosquito Infection Rates Used to Assess Risk of Arbovirus Transmission

Sources of Error in the Estimation of Mosquito Infection Rates Used to Assess Risk of Arbovirus Transmission

Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

Climate Change Effects on Infectious Diseases

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