University of Alaska Anchorage

Restricting access to fisheries and other common property resources through creation of individual transferable rights has been documented to create wealth and promote conservation, but has also reduced employment and increased inequality in fishing communities. Creating group rights instead of individual rights has been suggested as an alternative strategy that could realize the benefits with diminished social cost; however, little independent evaluation of actual implementations of group rights to fisheries has occurred. The Western Alaska Community Development Quota (CDQ) program represents an example of allocation of group fishery rights to six not-for-profit organizations representing 65 small, largely Indigenous coastal communities. Using a unique data set of individual and household survey records spanning more than 25 years, we applied a difference-in-differences approach to measure changes in a variety of social and economic indicators, including Indigenous language use and educational attainment, employment, earnings, income, and poverty status, while controlling for demographic and general economic changes over the years. We found significant differences in outcomes for individuals and households in CDQ-participating communities from those residing in nearby communities ineligible for participation. Differences were especially pronounced for earnings and income. Results suggest that group rights can provide significant social benefits. The relatively small community populations provides insufficient power to determine statistically whether the benefits of the CDQ program have been increasing or diminishing over the years, or whether some communities have benefited more than others.

Genomes of a Campylobacter coli OR12-like strain ChP2023 (1,713,995 bp) isolated from broiler chicken and Campylobacter jejuni subsp. jejuni NCTC 11168R-like strain KF2023 (1,729,995 bp) isolated from turkey, from poultry production facilities in Ukraine in 2023, were sequenced using Oxford Nanopore Technologies. Both genomes included antibiotic resistance genes and other virulence factors.

Limited research describes approaches for applying a public health lens to fatal child maltreatment classification. Specialized terminology and tools could help improve consistency in classifying deaths resulting from caregiver behavior. A six-criterion classification tool was developed via expert panel review of over 100 child deaths by the Alaska Division of Public Health’s Child Death Review (CDR) program. Next, accuracy and acceptability were assessed by inviting staff from other CDRs using a national listserv to classify 21 brief case scenarios with the tool. Among the 47 respondents, sensitivity was 0.87, specificity 0.77, and accuracy 0.84. Variability by tool criterion ranged from 97% to 74% accurate. Most respondents (66%) reported the tool as being helpful for classifying deaths and moderate reliability was found. Study participants found it difficult to consistently apply specific criteria which resulted in a modification of the tool to improve the potential for universal adoption.

Scientific expertise is crucial for responding effectively to environmental crises. Nevertheless, under conditions of political inequality, expert policy making can inhibit policy solutions by altering incentives of powerful interest groups. This is the situation facing the predominantly Alaska Native communities of the Yukon-Kuskokwim Delta, which have long relied on salmon for subsistence and are now experiencing a collapse of the salmon population. Scientific evidence indicates that climate change is a primary cause, and experts therefore have opposed demands by Native subsistence fishers for ameliorative measures—especially restricting pollock fishing—as likely to be ineffective. However, this approach eliminates incentives for the influential pollock industry to support policies to address the salmon crisis, including climate-change mitigation. This article presents a simple formal model that demonstrates these incentive effects. This argument contributes to theories of business power and shows how expert policy making can inadvertently force marginalized communities to bear the burden of climate change.

Over the past decade, Lyme and other tick-borne diseases have expanded into urban areas, including Staten Island, New York. While Lyme disease is often researched with a focus on human risk, domestic pets are also at risk of contracting the disease. The present study aims to describe differences in tick exposure, knowledge, attitude, and practices (KAP) between pet owners and non-owners, and to understand preventive strategies practiced by pet owners for themselves and their pets. We conducted KAP surveys via phone in 2020 and via face-to-face interviews in 2021, and we analyzed unique responses from 364 households on Staten Island. Pet owners were more likely to have ever found a tick on themselves or their household members (63%) than non-owners (46%) (p<0.001). Among pet owners, those who owned dogs (dog-only or both dog and cat owners) were more likely to have ever found a tick on their pets than cat-only owners (p<0.001). Compared with non-pet owners, pet owners were more likely both to know that ticks transmit Lyme disease (p<0.001) and to avoid gardening to reduce their tick exposure (p = 0.032), but they were less likely to wear protective clothing or adjust clothing (p = 0.013). Compared with cat owners who had never found a tick on their cats, cat owners who had ever found a tick on their cats were more likely to let their cats go outside (p<0.001). However, reported preventive measures on cats did not differ between pet owners who did and did not report tick exposure. The results indicate that encouraging pet owners to engage in preventative measures, both to protect themselves and their pets, is a potential avenue for healthcare providers and veterinarians to reduce risks from ticks.

Transdisciplinary projects can uncover crucial insights on people’s past and future risk-mitigation behavior. We focus on a novel risk context: increasing health threats from ticks on Staten Island, a New York City borough where the combination of high population density and extensive park systems and green spaces has resulted in a rise in locally-acquired tick-transmitted disease cases. We administered a knowledge, attitudes, and practices survey that additionally included simple economic stated preference questions about people’s willingness to spray tick pesticides in the future. We first analyze factors that are correlated with people’s perceptions of two types of risks: exposure to ticks and infection with Lyme disease. Next, we use the nonmarket valuation questions to test people’s willingness to spray and pay as a function of attributes of the hypothetical pesticides, including cost, effectiveness, and type. Across all model specifications, overall willingness to pay (WTP) to spray increases with increases in pesticide effectiveness, as well as with favorable pesticide type (organic). We uncover threshold pesticide effectiveness levels at which WTP to spray turns positive, and we find that lower pesticide effectiveness is required for organic pesticide. Finally, we test how perceived risks and various individual-specific characteristics correlate with WTP to spray. Combinations of higher perceived risks are linked both with higher WTP and lower breakeven pesticide effectiveness. Our work shows that a broad range of variables influence demand for self-protection actions, both directly and indirectly (through their effects on perceived risks). Such insights on people’s tradeoffs carry important policy implications, but they can be missed if economic information is either not elicited or elicited alone.

Foraging behaviors often involve trade‐offs between predation risk and access to forage. Risk‐forage trade‐offs may be particularly acute for maternal female ungulates, whose nutritional needs are high and whose calves are highly vulnerable to predation. In moose, the selection of calving habitat is one way in which females can respond to these trade‐offs. Our objective was to compare among‐individual variation in selected habitat for maternal and nonmaternal female moose during the calving season. We hypothesized that, compared to nonmaternal females, maternal females would exhibit a greater range of variation among individuals, which may signal differential responses to risk‐forage trade‐offs. Meanwhile, we expected nonmaternal females to show comparatively less variation among individuals, consistent with a group primarily maximizing forage intake. To test our hypotheses, we used a path selection framework and a set of continuous remotely sensed map covariates to build predictive models and corresponding spatial predictions for maternal and nonmaternal groups. We then calculated the range of variation among individuals within each group along a relative unitless axis, which we call the “maternal difference index” and define as the divergence of predicted maternal habitat selection from nonmaternal habitat selection. We included 10,080 GPS collar locations for 24 female moose over three consecutive years. Our predictive models had high levels of accuracy (>75%) based both on independent test partitions of a nested cross‐validation and on independent very high frequency (VHF) location data, each including spatial and temporal replication. Both groups of females preferred areas where primary forage species were abundant, diverse, and within foraging height. Habitat selected by the maternal group both overlapped and was broader than habitat selected by the nonmaternal group. Based on the maternal difference index, maternal individuals were less consistent in their habitat selection than nonmaternal individuals. Given that habitat selection behaviors are one way in which animals respond to potential risk‐forage trade‐offs and that maternal individuals in our study differed along a continuum in their selection for primary forage species, we suggest that the concept of maternal trade‐offs, as it relates to habitat selection, is most useful when seen as individually determined and variable, rather than group‐determined and discrete.

Importance Blast-related mild traumatic brain injuries (TBIs), the “signature injury” of post-9/11 conflicts, are associated with clinically relevant, long-term cognitive, psychological, and behavioral dysfunction and disability; however, the underlying neural mechanisms remain unclear. Objective To investigate associations between a history of remote blast-related mild TBI and regional brain volume in a sample of US veterans and active duty service members. Design, Setting, and Participants Prospective cohort study of US veterans and active duty service members from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC), which enrolled more than 1500 participants at 5 sites used in this analysis between 2014 and 2023. Participants were recruited from Veterans Affairs medical centers across the US; 774 veterans and active duty service members of the US military met eligibility criteria for this secondary analysis. Assessment dates were from January 6, 2015, to March 31, 2023; processing and analysis dates were from August 1, 2023, to January 15, 2024. Exposure All participants had combat exposure, and 82% had 1 or more lifetime mild TBIs with variable injury mechanisms. Main Outcomes and Measures Regional brain volume was calculated using tensor-based morphometry on 3-dimensional, T1-weighted magnetic resonance imaging scans; history of TBI, including history of blast-related mild TBI, was assessed by structured clinical interview. Cognitive performance and psychiatric symptoms were assessed with a battery of validated instruments. We hypothesized that regional volume would be smaller in the blast-related mild TBI group and that this would be associated with cognitive performance. Results A total of 774 veterans (670 [87%] male; mean [SD] age, 40.1 [9.8] years; 260 [34%] with blast-related TBI) were included in the sample. Individuals with a history of blast-related mild TBI had smaller brain volumes than individuals without a history of blast-related mild TBI (which includes uninjured individuals and those with non–blast-related mild TBI) in several clusters, with the largest centered bilaterally in the superior corona radiata and subcortical gray and white matter (cluster peak Cohen d range, −0.23 to −0.38; mean [SD] Cohen d , 0.28 [0.03]). Additionally, causal mediation analysis revealed that these volume differences significantly mediated the association between blast-related mild TBI and performance on measures of working memory and processing speed. Conclusions and Relevance In this cohort study of 774 veterans and active duty service members, robust volume differences associated with blast-related TBI were identified. Furthermore, these volume differences significantly mediated the association between blast-related mild TBI and cognitive function, indicating that this pattern of brain differences may have implications for daily functioning.

Background Borealpox virus (BRPV, formerly known as Alaskapox virus) is a zoonotic member of the Orthopoxvirus genus first identified in a person in 2015. In the six patients with infection previously observed BRPV involved mild, self-limiting illness. We report the first fatal BRPV infection in an immunosuppressed patient Methods A man aged 69 years from Alaska’s Kenai Peninsula was receiving anti-CD20 therapy for chronic lymphocytic leukemia. He presented to care for a tender, red papule in his right axilla with increasing induration and pain. The patient failed to respond to multiple prescribed antibiotic regimens and was hospitalized 65 days postsymptom onset for progression of presumed infectious cellulitis. BRPV was eventually detected through orthopoxvirus real-time polymerase chain reaction testing of mucosal swabs. He received combination antiviral therapy, including 21 days of intravenous tecovirimat, intravenous vaccinia immunoglobulin, and oral brincidofovir. Serial serology was conducted on specimens obtained posttreatment initiation. Findings The patient’s condition initially improved with plaque recession, reduced erythema, and epithelization around the axillary lesion beginning one-week post-therapy. He later exhibited delayed wound healing, malnutrition, acute renal failure, and respiratory failure. He died 138 days postsymptom onset. Serologic testing revealed no evidence the patient generated a humoral immune response. No secondary cases were detected. Conclusion This report demonstrates that BRPV can cause overwhelming disseminated infection in certain immunocompromised patients. Based on the patient’s initial response, early BRPV identification and antiviral therapies might have been beneficial. These therapies, in combination with optimized immune function, should be considered for patients at risk for manifestations of BRPV.

Alcohol consumption among aging adults is a growing concern due to its potential to exacerbate age-related health conditions. Developing accessible interventions for this demographic is imperative. Mobile health (mHealth) interventions offer a promising avenue, but their effectiveness and engagement among aging adults remain uncertain. This study is a secondary analysis that aimed to compare the utilization and outcomes of an mHealth intervention between aging (50+) and younger adults in a clinical trial of an mHealth intervention (Step Away) for reduced drinking. At the three-month follow-up, both age groups exhibited significant reductions in alcohol consumption and increased readiness for change. Furthermore, aging adults utilized the mHealth intervention significantly more, expressed a higher likelihood of continued use, and rated the intervention higher on the System Usability Scale (SUS). These findings suggest that mHealth interventions for alcohol-related issues can be equally effective for aging adults and that they readily engage with such tools and find them acceptable. This study underscores the potential of mHealth interventions as a viable solution for addressing alcohol-related concerns among aging adults. Further research targeting mHealth interventions tailored specifically to this demographic is warranted. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT04447794, Identifier [NCT04447794].

Snow crab (Chionoecetes opilio) in the eastern Bering Sea (EBS) supports a valuable crab fishery that harvests large males. To better understand the potential impact of the presence of snow‐Tanner hybrids (C. opilio × C. bairdi) on snow crab mating dynamics, the maternal lineage of hybrids was evaluated using single nucleotide polymorphisms (SNPs). Contrary to results from a previous study that indicated hybrids result only from crosses between Tanner crab (C. bairdi) males and snow crab females, results from this study showed hybrids result from bidirectional parental crosses. SNP and microsatellite markers were used to evaluate the species and number of males detected as mates in female sperm reserves acquired during mating and as sires among embryos in brooded clutches. The incidence of interspecies mating between female snow crab and Tanner crab or hybrid males was low (2%), suggesting interspecies mating is not currently a pressing fishery management concern. Most females had stored sperm from either a single mate (59%) or two mates (32%), which reflects fewer mates than observed for other snow crab populations. Few females were observed with either no stored sperm (5%) or sperm from three to four mates (4%). Single (82%) or dual (18%) paternity was found among embryos in brooded clutches. Sperm from some mates appeared to be fully utilized for fertilization of the brooded clutch for 35% of females. In contrast to findings for other snow crab populations, no significant differences were detected in the numbers of mates or sires between primiparous and multiparous females. The low extent of polyandry observed may suggest that female snow crab in the EBS have limited mating opportunities, potentially leading to insufficient sperm reserves to fertilize subsequent clutches without remating.

Despite widespread observations of shrub proliferation and expansion (shrubification), few studies quantify shrub biomass at the regional scale. Here we describe and implement a two-part modeling approach to estimate and map tall shrub (diameter at root collar > 2.5 cm) expected aboveground biomass, or E[SHB], across a 16.6 million ha boreal region where shrubification occurs in wetlands and subalpine ecosystems. Using n = 384 field plots nested within m= 11 study sites across southcentral Alaska, we constructed random forest models of the probability (pSH) that shrub wood volume surpasses tree wood volume, and generalized additive models of aboveground biomass of tall shrubs (SHB) using rasterized aerial lidar variables collected by NASA Goddard’s Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager, together with gridded climate data from a Parameter-elevation Regressions on Independent Slopes Model 30-year normal climatology (PRISM). Applying those models to G-LiHT tiles, then averaging across tiles within n = 843 watersheds covering 9.2 million ha, we estimated that below 1000 m asl, the area-weighted mean value of E[SHB] = pSH x SHB = 6.6 Mg ha⁻¹ with sd = 4.5 Mg ha⁻¹. This is the first study to estimate current shrub biomass density at the regional scale in southcentral Alaska and serves as a biomass baseline for measuring and modeling aboveground carbon fluxes where plant communities are undergoing climate-driven change.