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Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Laurie M. Billing reports support from the Council of State and Territorial Epidemiologists for the Influenza Population-based Hospitalization Surveillance Project and the COVID-19–associated Surveillance in Children and Adults Project. Mysheika W. Roberts reports a leadership role in the Big Cities Health Coalition. No other potential conflicts of interest were disclosed.

During November 19-21, 2021, an indoor convention (event) in New York City (NYC), was attended by approximately 53,000 persons from 52 U.S. jurisdictions and 30 foreign countries. In-person registration for the event began on November 18, 2021. The venue was equipped with high efficiency particulate air (HEPA) filtration, and attendees were required to wear a mask indoors and have documented receipt of at least 1 dose of a COVID-19 vaccine.* On December 2, 2021, the Minnesota Department of Health reported the first case of community-acquired COVID-19 in the United States caused by the SARS-CoV-2 B.1.1.529 (Omicron) variant in a person who had attended the event (1). CDC collaborated with state and local health departments to assess event-associated COVID-19 cases and potential exposures among U.S.-based attendees using data from COVID-19 surveillance systems and an anonymous online attendee survey. Among 34,541 attendees with available contact information, surveillance data identified test results for 4,560, including 119 (2.6%) persons from 16 jurisdictions with positive SARS-CoV-2 test results. Most (4,041 [95.2%]), survey respondents reported always wearing a mask while indoors at the event. Compared with test-negative respondents, test-positive respondents were more likely to report attending bars, karaoke, or nightclubs, and eating or drinking indoors near others for at least 15 minutes. Among 4,560 attendees who received testing, evidence of widespread transmission during the event was not identified. Genomic sequencing of 20 specimens identified the SARS-CoV-2 B.1.617.2 (Delta) variant (AY.25 and AY.103 sublineages) in 15 (75%) cases, and the Omicron variant (BA.1 sublineage) in five (25%) cases. These findings reinforce the importance of implementing multiple, simultaneous prevention measures, such as ensuring up-to-date vaccination, mask use, physical distancing, and improved ventilation in limiting SARS-CoV-2 transmission, during large, indoor events. † ., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Ruth Lynfield reports unpaid positions as the President of the Council of State and Territorial Epidemiologists and on the National Foundation for Infectious Diseases Executive Board. Ruby Serrano reports honoraria from Ponce Health Sciences University. No other potential conflicts of interest were disclosed.

During July 2021, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) B.1.617.2 variant infections, including vaccine breakthrough infections, occurred after large public gatherings in Provincetown, Massachusetts, USA, prompting a multistate investigation. Public health departments identified primary and secondary cases by using coronavirus disease surveillance data, case investigations, and contact tracing. A primary case was defined as SARS-CoV-2 detected <14 days after travel to or residence in Provincetown during July 3-17. A secondary case was defined as SARS-CoV-2 detected <14 days after close contact with a person who had a primary case but without travel to or residence in Provincetown during July 3-August 10. We identified 1,098 primary cases and 30 secondary cases associated with 26 primary cases among fully and non-fully vaccinated persons. Large gatherings can have widespread effects on SARS-CoV-2 transmission, and fully vaccinated persons should take precautions, such as masking, to prevent SARS-CoV-2 transmission, particularly during substantial or high transmission.

Background: Engaging youth in the activities of health organizations is imperative to achieve the Sustainable Development Goals (SDGs). The International Pharmaceutical Federation Young Pharmacists Group (FIP YPG) was formally launched in 2001 to increase the engagement of young pharmacists and pharmaceutical scientists. Additionally, FIP YPG was set up to foster their potential for leadership within the various Sections and Special Interest Groups of FIP in the areas of pharmacy practice, pharmaceutical sciences and pharmacy education. With the new ONE FIP strategy, achieving the goal of advancing pharmacy together as ONE organization, FIP and FIP YPG looked into the needs and expectations of its members to achieve synergy and amplify outcomes., Objectives: FIP YPG carried out a needs-assessment survey to explore the needs and expectations of its members in order to better align FIP's goals and its members' needs., Methods: An online survey was conducted between 1 May 2019 and 2 June 2019 of the members of FIP YPG. Invitations to complete the questionnaire were sent out by email to all FIP YPG members. The questionnaire included participant demographics; satisfaction on current FIP YPG activities, participation in FIP YPG activities; preferred activities of FIP YPG; expectations from FIP YPG and presence of national/regional YPG in the members' respective geographies., Results: The survey elicited a response rate of 37.25%. Sixty-seven percent of members were satisfied with current FIP YPG activities. The most preferred activity and the main reason for joining the organization was 'networking opportunities.' 'Newsletter' (as a reader) was the most common resource selected by participants (71%). Newsletters were also the preferred platform for communication (75.32%). 'International YPG conference' was found to be the focus of members' preference (59.49%). Nearly a majority FIP YPG members preferred webinars focused on 'Career development' (44.94%). The preferred type of project to be involved in were 'Inter-professional collaboration projects' (45.57%). 'Exploration of opportunities and incentives for implementing new professional services' was found to be the preferred topic for research survey (33.54%)., Conclusion: FIP YPG members' needs were descriptively analyzed for the purpose of better alignment of the organization's goals with members' goals. Networking, collaborations, career and leadership development and effective communication, among other aspects, were found to be the main interests of the members surveyed. The survey findings have been employed in the development of strategic plans for FIP YPG members and how FIP YPG can be an effective launching platform for the future roles in FIP., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Preventing coronavirus disease 2019 (COVID-19) in correctional and detention facilities* can be challenging because of population-dense housing, varied access to hygiene facilities and supplies, and limited space for isolation and quarantine (1). Incarcerated and detained populations have a high prevalence of chronic diseases, increasing their risk for severe COVID-19-associated illness and making early detection critical (2,3). Correctional and detention facilities are not closed systems; SARS-CoV-2, the virus that causes COVID-19, can be transmitted to and from the surrounding community through staff member and visitor movements as well as entry, transfer, and release of incarcerated and detained persons (1). To better understand SARS-CoV-2 prevalence in these settings, CDC requested data from 15 jurisdictions describing results of mass testing events among incarcerated and detained persons and cases identified through earlier symptom-based testing. Six jurisdictions reported SARS-CoV-2 prevalence of 0%-86.8% (median = 29.3%) from mass testing events in 16 adult facilities. Before mass testing, 15 of the 16 facilities had identified at least one COVID-19 case among incarcerated or detained persons using symptom-based testing, and mass testing increased the total number of known cases from 642 to 8,239. Case surveillance from symptom-based testing has likely underestimated SARS-CoV-2 prevalence in correctional and detention facilities. Broad-based testing can provide a more accurate assessment of prevalence and generate data to help control transmission (4)., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Anne C. Spaulding reports funding from the following entities to consult on COVID-19 control in correctional facilities: Harris County, Texas (funds to be paid to Emory University), the National Sheriff’s Association (funds to be paid to Emory University), and Guardian (travel funds only). Dr. Spaulding also reports grants from Gilead Sciences, the National Commission on Correctional Health Care, bioLytical Sciences, and Cellex outside the submitted work. No other potential conflicts of interest were disclosed by authors.

Empiric antibiotic prescribing can be supported by guidelines and/or local antibiograms, but these have limitations. We sought to use data from a comprehensive electronic health record to use statistical learning to develop predictive models for individual antibiotics that incorporate patient- and hospital-specific factors. This paper reports on the development and validation of these models with a large retrospective cohort. This was a retrospective cohort study including hospitalized patients with positive urine cultures in the first 48 h of hospitalization at a 1,500-bed tertiary-care hospital over a 4.5-year period. All first urine cultures with susceptibilities were included. Statistical learning techniques, including penalized logistic regression, were used to create predictive models for cefazolin, ceftriaxone, ciprofloxacin, cefepime, and piperacillin-tazobactam. These were validated on a held-out cohort. The final data set used for analysis included 6,366 patients. Final model covariates included demographics, comorbidity score, recent antibiotic use, recent antimicrobial resistance, and antibiotic allergies. Models had acceptable to good discrimination in the training data set and acceptable performance in the validation data set, with a point estimate for area under the receiver operating characteristic curve (AUC) that ranged from 0.65 for ceftriaxone to 0.69 for cefazolin. All models had excellent calibration. We used electronic health record data to create predictive models to estimate antibiotic susceptibilities for urinary tract infections in hospitalized patients. Our models had acceptable performance in a held-out validation cohort., (Copyright © 2020 American Society for Microbiology.)