2015-16 Antarctic Travel Project data set

During the 2015-2016 season, links to an internet survey were distributed to Antarctic travelers traveling with two different tour companies with expedition ships leaving from Ushuaia, Argentina, A paper brochure was placed in the expedition ship cabins of tourists before their arrival, and expedition staff gave reminders to complete them. 175 travelers, largely from two ships, completed this internet survey through Qualtrics. Tourists received links to the survey from expedition leaders who volunteered to distribute paper explanations of the survey with the link, including one author of the study (Roedel). This document gives the questions from the Qualtrics survey and the compiled results. Individual responses are not provided in order to preserve confidentiality. Some of the survey questions were taken from other, larger surveys in the hopes of producing comparable data. Those surveys, and their corresponding questions, are indicated in the Block Titles. Responses were collected between December 21, 2015 and March 8, 2016, a timeframe that corresponds to the Antarctic tourism season

2018-19 Antarctic Travel Project data set

For the 2018-2019 season, we distributed paper surveys to travelers on expedition ships leaving from Ushuaia, Argentina for the Antarctic peninsula. That instrument is included here. We received 461 responses. The Ushuaia Tourism Office, INFUETUR, graciously assisted us in distributing surveys to the expedition guides. Guides then distributed the surveys to their passengers onboard, collected completed surveys, and returned them to the INFUETUR office. These were then mailed to the authors to be analyzed. We offer our deep thanks to all those who assisted with this survey! Responses were collected between December 2018 and February 2019, a timeframe that corresponds to the Antarctic tourism season

2017-18 Antarctic Travel Project data set

For the 2017-2018 season, we distributed paper surveys to travelers on expedition ships leaving from Ushuaia, Argentina for the Antarctic peninsula. That instrument is included here. We received 362 responses, which is the n throughout the dataset. “Unanswered” indicates that nothing was written on the survey instrument for that question. The Ushuaia Tourism Office, INFUETUR, graciously assisted us in distributing surveys to the expedition guides. Guides then distributed the surveys to their passengers onboard, collected completed surveys, and returned them to the INFUETUR office. These were then mailed to the authors to be analyzed. Once the paper responses were received at Bucknell University, the data was entered into Qualtrics for analysis by Alex Busato. Responses were collected between December 2017 and February 2018, a timeframe that corresponds to the Antarctic tourism season

Getting It Right: Being Smarter about Clinical Trials

A major NIH meeting led to recommendations for conducting better clinical trials

Antimicrobial Resistance Incidence and Risk Factors among Helicobacter pylori–Infected Persons, United States

Helicobacter pylori is the primary cause of peptic ulcer disease and an etiologic agent in the development of gastric cancer. H. pylori infection is curable with regimens of multiple antimicrobial agents, and antimicrobial resistance is a leading cause of treatment failure. The Helicobacter pylori Antimicrobial Resistance Monitoring Program (HARP) is a prospective, multicenter U.S. network that tracks national prevalence rates of H. pylori antimicrobial resistance. Of 347 clinical H. pylori isolates collected from December 1998 through 2002, 101 (29.1%) were resistant to one antimicrobial agent, and 17 (4.8%) were resistant to two or more antimicrobial agents. Eighty-seven (25.1%) isolates were resistant to metronidazole, 45 (12.9%) to clarithromycin, and 3 (0.9%) to amoxicillin. On multivariate analysis, black race was the only significant risk factor (p < 0.01, hazard ratio 2.04) for infection with a resistant H. pylori strain. Formulating pretreatment screening strategies or providing alternative therapeutic regimens for high-risk populations may be important for future clinical practice

Bucknell student uses ArcGIS in research on sleeping sickness

Below is an interview with Daniel Dougherty ’12, a History and Geography major, discussing his use of GIS for an analysis of the impact of climate change on sleeping sickness. The research project was conducted as part of Prof. Duane Griffin’s Geography 204 course Applied GIS. In the interview, Dougherty describes the data and methodology he used for the project and talks about some of the conclusions he drew from his analysis