CONTEXT: Public health agencies require a competent, well-trained workforce to protect health and meet the specific needs of the communities served. In the US-Affiliated Pacific Islands (USAPI), geographic and educational barriers, and limited availability of culturally and linguistically appropriate training programs are unique challenges that contribute to public health workforce shortages. PROGRAM AND IMPLEMENTATION: The Pacific Public Health Fellowship Program (PPHFP) was introduced through a partnership between the Centers for Diseases Control and Prevention and the Pacific Island Health Officers Association. It was designed to address barriers to public health workforce development and capacity in USAPI. Established in 2019, PPHFP is a 2-year, full-time training program designed for USAPI residents who are recent college graduates with interests in pursuing careers in public health. The program includes a competency-based training curriculum and field-based projects at participating host sites to address local public health challenges. PPHFP has expanded from 2 fellows in 2021 to 43 fellows in 2024, with each USAPI having hosted fellows. EVALUATION: All 2021-2023 cohort respondents to the PPHFP exit survey have reported satisfaction with the program, increased knowledge and skills in public health, and readiness to enter the public health workforce. In addition, respondents reported that they have contributed to public health workforce capacity at their local host sites. In total, 16 of 17 graduates from these cohorts have been employed or continued their education in the public health field. DISCUSSION: PPHFP is a successful approach to addressing unique public health workforce challenges in USAPI through recruitment, training, and placement of residents at local host sites. This fellowship program can serve as a model for enhancing public health workforce capacity in other regions and globally.

Background: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (73%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (07%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (914%), moxifloxacin (916%) and ethambutol (933%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. Funding: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation. 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

AIMS: To estimate the association of e-cigarette advertisement exposure with e-cigarette and cigarette use behavior among US adults. DESIGN: Data from the 2013-14 National Adult Tobacco Survey (NATS) were linked to Kantar Media and National Consumer Study data to construct measures of e-cigarette advertisements on TV and in magazines. The relationship between advertisement measures and outcomes was estimated using logistic and Poisson regressions, controlling for socio-demographics, state cigarette taxes and state and year fixed-effects. SETTING: United States. PARTICIPANTS/CASES: A total of 98 746 adults aged ≥ 18 years who responded to the 2013-14 NATS. MEASUREMENTS: The independent variables of interest were the number of e-cigarette advertisements in magazines to which an adult was exposed in the past 6 months and the number of e-cigarette advertisements on TV to which an adult was exposed in the past 6 months. Outcomes were awareness of e-cigarettes, ever e-cigarette use, current e-cigarette use, current cigarette use and number of cigarettes smoked per month. FINDINGS: Exposure to one additional e-cigarette advertisement on TV was associated with a 0.18, 0.13 and 0.03 percentage point increase, respectively, in awareness, ever use and current use of e-cigarettes among all adults (P < 0.05). This exposure also was associated with a 0.11 percentage point increase in current cigarette use among all adults and an increase in cigarette consumption of 2.24 cigarettes per month among adults aged ≥ 45 (P < 0.05). CONCLUSIONS: Exposure to e-cigarette advertising appears to be positively associated with the use of e-cigarettes and cigarettes among adults of all ages, and with increased cigarette consumption among older adults.

Objectives. To describe the career trajectories of 1 cohort of US Public Health Associate Program (PHAP) alumni over 3 years since completing PHAP. Methods. We distributed a Web-based survey at 3 time points between 2014 and 2017 (response rate = 76%). We calculated descriptive statistics in SPSS. Results. At all time points, most alumni were employed. Of those, the percentage employed in public health was 100% at program completion, 86% at year 1, and 68% at year 3. Conclusions. Most alumni were employed in public health jobs at each time point. At the 3-year mark, approximately a third of the alumni had left public health employment, which is in line with documented rates of turnover within the broader public health workforce. Public Health Implications. Service learning programs like PHAP are effective at recruiting early career professionals into public health. The extent to which PHAP is effective at retaining workers in public health after the program appears most promising immediately following the program or in the short term after the program concludes. The extent to which workers are retained in the longer term requires further study. (Am J Public Health. Published online ahead of print July 18, 2019: e1-e3. doi:10.2105/AJPH.2019.305156).

There is currently a gap in the literature regarding the creation of psychometrically sound measurement tools assessing service-learning programs in health-related fields. Without comprehension of a survey's psychometric properties, evaluators cannot ensure that survey instruments are reliable or valid. This study describes the psychometric evaluation of the Public Health Associate Program (PHAP) Service-Learning Scale (PSLS). PSLS assesses participant experience in PHAP, a Centers for Disease Control and Prevention program. This paper explains survey development, scale validity and reliability, and the internal factor structure of the PSLS. The final scale consisted of 22 items with a high internal consistency (Cronbach's α=.90). Exploratory Factor Analysis (EFA) was used to determine the scale's factor structure; five factors comprising of all 22 items were retained. The factors, or subscales, were Learning Outcomes, Mentoring, Experiential Assignment, Self-Efficacy in Program Competency Domains, and Program Satisfaction. All were also found to have adequate internal consistency (Cronbach's α >.70). Service-learning is vital in developing the next generation of the workforce. These study findings suggest the PSLS fills a critical gap in the literature by providing a valid and reliable instrument to evaluate experiences and satisfaction in service-learning programs and other fellowships.

Case reports of Apophysomyces spp. in immunocompetent hosts have been a result of traumatic deep implantation of Apophysomyces spp. spore-contaminated soil or debris. On May 22, 2011 a tornado occurred in Joplin, MO, leaving 13 tornado victims with Apophysomyces trapeziformis infections as a result of lacerations from airborne material. We used whole genome sequence typing (WGST) for high-resolution phylogenetic SNP analysis of 17 outbreak Apophysomyces isolates and five additional temporally and spatially diverse Apophysomyces control isolates (three A. trapeziformis and two A. variabilis isolates). Whole genome SNP phylogenetic analysis revealed three clusters of genotypically related or identical A. trapeziformis isolates and multiple distinct isolates among the Joplin group; this indicated multiple genotypes from a single or multiple sources. Though no linkage between genotype and location of exposure was observed, WGST analysis determined that the Joplin isolates were more closely related to each other than to the control isolates, suggesting local population structure. Additionally, species delineation based on WGST demonstrated the need to reassess currently accepted taxonomic classifications of phylogenetic species within the genus Apophysomyces.

We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source. We illustrate the utility of this approach using data from a North American human plague investigation.