West Nile Virus Antibody Decay Rate in Free-Ranging Birds

McKee, Eileen M.; Walker, Edward D.; Anderson, Tavis K.; Kitron, Uriel; Brawn, Jeffrey D.; Krebs, Bethany L.; Newman, Christina M.; Ruiz, Marilyn O.; Levine, Rebecca S.; Carrington, Mary E.; McLean, Robert G.; Goldberg, Tony L.; Hamer, Gabriel L.

doi:10.7589/2014-07-175

Cited by 15 publications

(8 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…36,43,44 We used avian serum from blood samples to test for the presence of WNV antibodies using an inhibition enzyme-linked immunosorbent assay (ELISA). 17,45 For Culex mosquitoes, DNA was extracted from pools of whole-bodied host-seeking female individuals that were collected from the same sites and at the same time. Extractions were carried out with Qiagen (Hilden, Germany) blood and tissue kits following the manufacturer's protocol.…”

Section: Methodsmentioning

confidence: 99%

Overlap in the Seasonal Infection Patterns of Avian Malaria Parasites and West Nile Virus in Vectors and Hosts

Medeiros

Ricklefs

Brawn

et al. 2016

The American Society of Tropical Medicine and Hygiene

Self Cite

View full text Add to dashboard Cite

Abstract. Multiple vector-borne pathogens often circulate in the same vector and host communities, and seasonal infection dynamics influence the potential for pathogen interactions. Here, we explore the seasonal infection patterns of avian malaria (Haemosporida) parasites (Plasmodium and Haemoproteus) and West Nile virus (WNV) in birds and mosquitoes in suburban Chicago. We show that both pathogens vary seasonally in Culex mosquitoes and avian hosts, but that patterns of covariation are complex. Different putative Plasmodium species varied asynchronously across the season in mosquitoes and birds, suggesting that different forces may govern their transmission. Infections of Culex mosquitoes with Plasmodium parasites were positively associated with WNV infections in pools of individuals aggregated from the same time and site, suggesting that these pathogens respond to common environmental drivers and co-circulate among the same host and vector populations. Future research should focus on these common drivers, and whether these pathogens interact in vectors and hosts.

show abstract

Section: Methodsmentioning

confidence: 99%

Overlap in the Seasonal Infection Patterns of Avian Malaria Parasites and West Nile Virus in Vectors and Hosts

Medeiros

Ricklefs

Brawn

et al. 2016

The American Society of Tropical Medicine and Hygiene

Self Cite

View full text Add to dashboard Cite

show abstract

“…Our method can be applied to understand the patterns and mechanisms of seasonal infection risk in pathogens of concern for wildlife and humans including plague, avian influenza, West Nile virus, and myxomatosis in rabbits (Kerr 1997; McKee et al 2015; Pepin et al 2017), where longitudinal antibody and serosurveillance data already exist. However, high-resolution longitudinal antibody data is not a necessary prerequisite to use the survival analysis framework we present here, as our method is a generalization of serology methods that only use seroprevalence data to estimate infection risk, with no information on TOI (Heisey et al 2006; Hens et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Inferring seasonal infection risk at population and regional scales from serology samples

Wilber

Webb

Cunningham

et al. 2019

Ecology

View full text Add to dashboard Cite

Accurate estimates of seasonal infection risk can be used by animal health officials to predict future disease risk and better understand the mechanisms driving disease dynamics. It can be difficult to estimate seasonal infection risk in wildlife disease systems because surveillance assays typically target antibodies (‘serosurveillance’), which are not necessarily indicative of current infection, and serosurveillance sampling is often opportunistic. Recently developed methods estimate past time of infection from serosurveillance data using quantitative serological assays that indicate the amount of antibodies in a serology sample. However, current methods do not account for common opportunistic and uneven sampling associated with serosurveillance data. We extended the framework of survival analysis to improve estimates of seasonal infection risk from serosurveillance data across population and regional scales. We found that accounting for the right-censored nature of quantitative serology samples greatly improved estimates of seasonal infection risk, even when sampling was uneven in time. Survival analysis can also be used to account for common challenges when estimating infection risk from serology data, such as biases induced by host demography and continually elevated antibodies following infection. The framework developed herein is widely applicable for estimating seasonal infection risk from serosurveillance data in humans, wildlife, and livestock.

show abstract

“…Possibly, the rather high prevalence of WNV in the simulations, as well as the high values of 0 , are an artifact arising from this simplified situation. Another questionable assumption is that birds are not allowed to recover, though antibody-positive birds are not difficult to find in endemic areas (Jozan et al, 2003;Mckee et al, 2015). Including a compartment of recovered birds would not change the values of 0 but would certainly decrease infection prevalence.…”

Section: Discussionmentioning

confidence: 99%

Exploring vector-borne infection ecology in multi-host communities: A case study of West Nile virus

Marini

Rosà

Heesterbeek

2017

Journal of Theoretical Biology

View full text Add to dashboard Cite

In this study, we develop a model to investigate how ecological factors might affect the dynamics of a vector-borne pathogen in a population composed by different hosts which interact with each other. Specifically, we consider the case when different host species compete with each other, as they share the same habitat, and the vector might have different feeding preference, which can also be time dependent. As a prototypical example, we apply our model to study the invasion and spread, during a typical season, of West Nile virus in an ecosystem composed of two competent avian host species and possibly of dead-end host species. We found that competition and vector feeding preferences can profoundly influence pathogen invasion, influencing its probability to start an epidemic, and influencing transmission rates. Finally, when considering time-dependent feeding preferences, as observed in the field, we noted that the virus circulation could be amplified and that the timing of epidemic peaks could be changed. Our work highlights that ecological interactions between hosts can have a profound influence on the dynamics of the pathogen and that, when modeling vector-borne infections, vector feeding behavior should, for this reason, be carefully evaluated.

show abstract

West Nile Virus Antibody Decay Rate in Free-Ranging Birds

Cited by 15 publications

References 41 publications

Overlap in the Seasonal Infection Patterns of Avian Malaria Parasites and West Nile Virus in Vectors and Hosts

Overlap in the Seasonal Infection Patterns of Avian Malaria Parasites and West Nile Virus in Vectors and Hosts

Inferring seasonal infection risk at population and regional scales from serology samples

Exploring vector-borne infection ecology in multi-host communities: A case study of West Nile virus

Contact Info

Product

Resources

About