Predicting eastern equine encephalitis spread in North America: An ecological study

Tang, Xin; Sedda, Luigi; Brown, Heidi E.

doi:10.1016/j.crpvbd.2021.100064

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Eastern equine encephalitis virus (EEEv) is an arthropod-borne virus (arbovirus) and the causative agent of eastern equine encephalitis (EEE) disease in humans, horses, poultry, and wildlife [1][2][3]. EEEv infection in livestock occurs more frequently than in humans, with horses being particularly vulnerable to disease.…”

Section: Introductionmentioning

confidence: 99%

Amplification in Time and Dilution in Space: Partitioning Spatiotemporal Processes to Assess the Role of Avian-Host Phylodiversity in Shaping Eastern Equine Encephalitis Virus Distribution

Humphreys

2022

Geographies

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Eastern equine encephalitis virus (EEEv) is an arthropod-borne virus and the causative agent of neurologic disease in humans, horses, poultry, and wildlife. Although EEEv is known to be transmitted in cycles involving avian hosts and ornithophilic mosquitoes, there is ongoing debate about the role avian-host phylodiversity plays in diluting or amplifying virus prevalence across geographic space and through time. This study leveraged seventeen years of non-human EEEv detections to quantify possible EEEv dilution and amplification effects in response to avian-host phylodiversity. In assessing EEEv and avian-host diversity relationships, comparisons were performed to illustrate how modeling decisions aimed at capturing spatial patterns, temporal trends, and space–time interactions impacted results and the interpretations drawn from those results. Principal findings indicated that increased avian phylodiversity promotes EEEv dilution across geographic space, but this dilution effect is scale-dependent and masked by amplification effects that occur through time. Findings further demonstrated that the decisions made when modeling complex spatiotemporal dynamics can readily contribute to contrasting statistical outcomes and results misinterpretation, even when arithmetic and mathematics are strictly correct.

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Section: Introductionmentioning

confidence: 99%