Modeling spatiotemporal dynamics of Amblyomma americanum questing activity in the central Great Plains

Ticks represent important vectors of a number of bacterial and viral disease agents, owing to their hematophagous nature and their questing behavior (the process in which they seek new hosts). Questing activity is notably seasonal with spatiotemporal dynamics that needs to be understood in detail as part of mediating and mitigating tick-borne disease risk. Models of the geography of tick questing activity developed to date, however, have ignored the temporal dimensions of that behavior; more fundamentally, they have often not considered the sampling underlying available occurrence data. Here, we have addressed these shortfalls for Amblyomma americanum, the most commonly encountered tick in the central Great Plains, via (1) detailed, longitudinal sampling to characterize the spatiotemporal dimensions of tick questing activity; (2) randomization tests to establish in which environmental dimensions a species is manifesting selective use; and (3) modeling methods that include both presence data and absence data, taking fullest advantage of the information available in the data resource. The outcome was a detailed picture of geographic and temporal variation in suitability for the species through the two-year course of this study. Such models that take full advantage of available information will be crucial in understanding the risk of tick-borne disease into the future.

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Publication Details

Journal
PLoS ONE
Published
2024-10-28
DOI
https://doi.org/10.1371/journal.pone.0304427
Citations
4
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
2.06

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article

Modeling spatiotemporal dynamics of Amblyomma americanum questing activity in the central Great Plains

Marlon E. Cobos, Kellee Sundstrom, Susan E. Little, A. Townsend Peterson et al.
4 citations
PLoS ONE
Vector-borne infectious diseases
2.06
article

Modeling spatiotemporal dynamics of Amblyomma americanum questing activity in the central Great Plains

Marlon E. Cobos, Kellee Sundstrom, Susan E. Little, A. Townsend Peterson, Kathryn Duncan, Robert Brennan, Taylor Winters, Anuradha Ghosh, Ismari Martinez, Yuan Yao, Xiangming Xiao
article en
4 citations

Abstract

Ticks represent important vectors of a number of bacterial and viral disease agents, owing to their hematophagous nature and their questing behavior (the process in which they seek new hosts). Questing activity is notably seasonal with spatiotemporal dynamics that needs to be understood in detail as part of mediating and mitigating tick-borne disease risk. Models of the geography of tick questing activity developed to date, however, have ignored the temporal dimensions of that behavior; more fundamentally, they have often not considered the sampling underlying available occurrence data. Here, we have addressed these shortfalls for Amblyomma americanum, the most commonly encountered tick in the central Great Plains, via (1) detailed, longitudinal sampling to characterize the spatiotemporal dimensions of tick questing activity; (2) randomization tests to establish in which environmental dimensions a species is manifesting selective use; and (3) modeling methods that include both presence data and absence data, taking fullest advantage of the information available in the data resource. The outcome was a detailed picture of geographic and temporal variation in suitability for the species through the two-year course of this study. Such models that take full advantage of available information will be crucial in understanding the risk of tick-borne disease into the future.

PLoS ONEVol. 19(10)
Oklahoma State University (US), University of Central Oklahoma (US), University of Kansas (US), Pittsburg State University (US), University of Oklahoma (US)
National Science Foundation, Oklahoma State University, Pittsburg State University
Life in Land
Openalex Percentile: Top 13%
Vector-borne infectious diseases
2.06
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