T
Tal Ben-Horin
Researcher at University of Rhode Island
Publications - 30
Citations - 1253
Tal Ben-Horin is an academic researcher from University of Rhode Island. The author has contributed to research in topics: Population & Oyster. The author has an hindex of 14, co-authored 25 publications receiving 1020 citations. Previous affiliations of Tal Ben-Horin include University of California, Santa Barbara & North Carolina State University.
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Journal ArticleDOI
Optimal temperature for malaria transmission is dramatically lower than previously predicted.
Eerin A. Mordecai,Krijin P. Paaijmans,Leah R. Johnson,Christian Balzer,Tal Ben-Horin,Emily de Moor,Amy McNally,Samraat Pawar,Sadie J. Ryan,Thomas C. Smith,Kevin D. Lafferty +10 more
TL;DR: A model with more realistic ecological assumptions about the thermal physiology of insects is built, which predicts optimal malaria transmission at 25 °C (6-°C lower than previous models), and predicts that transmission decreases dramatically at temperatures > 28 ° C, altering predictions about how climate change will affect malaria.
Journal ArticleDOI
Combined analyses of kinship and FST suggest potential drivers of chaotic genetic patchiness in high gene-flow populations.
Matthew Iacchei,Tal Ben-Horin,Kimberly A. Selkoe,Christopher E. Bird,Francisco Javier García-Rodríguez,Robert J. Toonen +5 more
TL;DR: The results indicate that P. interruptus does not maintain a single homogenous population, despite extreme dispersal potential, and contribute to a growing number of studies showing that low FST and high family structure across populations can coexist, illuminating the foundations of cryptic genetic patterns and the nature of marine dispersal.
Journal ArticleDOI
Mapping Physiological Suitability Limits for Malaria in Africa Under Climate Change
Sadie J. Ryan,Amy McNally,Leah R. Johnson,Erin A. Mordecai,Tal Ben-Horin,Krijn P. Paaijmans,Kevin D. Lafferty +6 more
TL;DR: Mapping temperature suitability places important bounds on malaria transmissibility and, along with local level demographic, socioeconomic, and ecological factors, can indicate where resources may be best spent on malaria control.
Journal ArticleDOI
Understanding uncertainty in temperature effects on vector-borne disease: a Bayesian approach.
Leah R. Johnson,Leah R. Johnson,Tal Ben-Horin,Tal Ben-Horin,Kevin D. Lafferty,Kevin D. Lafferty,Amy McNally,Erin A. Mordecai,Erin A. Mordecai,Krijn P. Paaijmans,Samraat Pawar,Samraat Pawar,Sadie J. Ryan,Sadie J. Ryan,Sadie J. Ryan +14 more
TL;DR: This work shows how a Bayesian approach can help identify critical uncertainties in components of R0 and how this uncertainty is propagated into the estimate of R 0, and finds that different parameters dominate the uncertainty at different temperature regimes.
Journal ArticleDOI
Variable intertidal temperature explains why disease endangers black abalone
TL;DR: Results imply that high thermal variation of the marine intertidal zone allows the pathogen to readily infect black abalone, but infected individuals remain asymptomatic until water temperatures periodically exceed thresholds modulating WS, and mass mortalities can occur before pathogen transmission is limited by density-dependent factors.