Longitudinal analysis of predictors of electronic cigarette trial among adolescents in Guatemala.

Background: Understanding factors influencing electronic cigarette (e-cigarette) trial in adolescents is crucial for shaping policies and interventions to reduce consumption and potentially prevent addictive tendencies, particularly in countries with weak regulations like Guatemala.

Objective: We aimed to longitudinally assess predictors of e-cigarette trial among Guatemalan adolescents surveyed in 2019, 2020, and 2021.

Methods: Students (13 to 18 years old) from nine private schools completed self-administered questionnaires about e-cigarette use and associated risk factors.

Is dragging a drag or is trapping a trap? A comparison of two methods for collecting Amblyomma americanum ticks in sites near the species range boundary.

The incidence of tick-borne diseases in the United States has more than doubled since the early 2000s. Research on ticks is a priority to mitigate the spread of tick-borne diseases. Thus, it is important to understand how to efficiently collect large numbers of ticks for studies of genetics, behavior, physiology, vector competence, tick repellants, and acaricides.

Imaging response to immune checkpoint inhibitors in patients with advanced melanoma: a retrospective observational cohort study.

Background: The association between objective imaging response and first line immune checkpoint inhibitor (ICI) therapy regimes in advanced melanoma remains uncharacterized in routine practice.

Methods: We conducted a multi-center retrospective cohort analysis of advanced melanoma patients receiving first line ICI therapy from August 2013-May 2020 in Alberta, Canada. The primary outcome was likelihood of RECIST v1.

A low-cost, DIY tourniquet simulator with built-in self-assessment for prehospital providers in Guatemala city.

Background: Hemorrhage is the leading cause of preventable death after trauma. In high-income countries first responders are trained in hemorrhage control techniques but this is not the case for developing countries like Guatemala. We present a low-cost training model for tourniquet application using a combination of virtual and physical components.

Filling the agronomic data gap through a minimum data collection approach.

Context: Agronomic data such as applied inputs, management practices, and crop yields are needed for assessing productivity, nutrient balances, resource use efficiency, as well as other aspects of environmental and economic performance of cropping systems. In many instances, however, these data are only available at a coarse level of aggregation or simply do not exist.

Objectives: Here we developed an approach that identifies sites for agronomic data collection for a given crop and country, seeking a balance between minimizing data collection efforts and proper representation of the main crop producing areas.