Publications by authors named "S Casillas"

We present a nation-wide network analysis of non-fatal opioid-involved overdose journeys in the United States. Leveraging a unique proprietary dataset of Emergency Medical Services incidents, we construct a journey-to-overdose geospatial network capturing nearly half a million opioid-involved overdose events spanning 2018-2023. We analyze the structure and sociological profiles of the nodes, which are counties or their equivalents, characterize the distribution of overdose journey lengths, and investigate changes in the journey network between 2018 and 2023.

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Background: Opioid-involved overdoses, especially those involving synthetic opioids like fentanyl, have driven increases in overdose morbidity and mortality. Emergency medical services (EMS) and emergency department (ED) data can each provide near real-time information on trends in nonfatal opioid-involved overdoses; however, minimal data exist on the comparability of trends in these two data sources.

Methods: EMS data from biospatial© and ED data from CDC's Drug Overdose Surveillance and Epidemiology system and National Syndromic Surveillance Program were queried for nine states.

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Article Synopsis
  • * The study employed cytological analysis and genetic methods to assess how chromosomal fusions affect recombination patterns, revealing that these fusions lead to changes like increased recombination near chromosome ends and altered interference levels in crossover events.
  • * The findings highlight the combined influence of Robertsonian fusions and the Prdm9 gene on genomic recombination, with Prdm9 playing a key role at the population level, while the effects of fusions were more localized to specific chromosome regions.
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Inferring the effects of positive selection on genomes remains a critical step in characterizing the ultimate and proximate causes of adaptation across species, and quantifying positive selection remains a challenge due to the confounding effects of many other evolutionary processes. Robust and efficient approaches for adaptation inference could help characterize the rate and strength of adaptation in nonmodel species for which demographic history, mutational processes, and recombination patterns are not currently well-described. Here, we introduce an efficient and user-friendly extension of the McDonald-Kreitman test (ABC-MK) for quantifying long-term protein adaptation in specific lineages of interest.

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Introduction: US drug overdose deaths are at historic levels. For every fatal drug overdose, there are many more non-fatal; however, minimal nationally representative data exist on trends in the ratio of fatal to non-fatal drug overdoses and how this differs by drug type.

Methods: Data from the Centers for Disease Control and Prevention's National Vital Statistics System were used to assess the number of fatal overdoses; data from the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample database were used to estimate the number of non-fatal overdoses treated in emergency departments.

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