Incorporating resilience when assessing pandemic risk in the Arctic: a case study of Alaska.

The discourse on vulnerability to COVID-19 or any other pandemic is about the susceptibility to the effects of disease outbreaks. Over time, vulnerability has been assessed through various indices calculated using a confluence of societal factors. However, categorising Arctic communities, without considering their socioeconomic, cultural and demographic uniqueness, into the high and low continuum of vulnerability using universal indicators will undoubtedly result in the underestimation of the communities' capacity to withstand and recover from pandemic exposure. By recognising vulnerability and resilience as two separate but interrelated dimensions, this study reviews the Arctic communities' ability to cope with pandemic risks. In particular, we have developed a pandemic vulnerability-resilience framework for Alaska to examine the potential community-level risks of COVID-19 or future pandemics. Based on the combined assessment of the vulnerability and resilience indices, we found that not all highly vulnerable census areas and boroughs had experienced COVID-19 epidemiological outcomes with similar severity. The more resilient a census area or borough is, the lower the cumulative death per 100 000 and case fatality ratio in that area. The insight that pandemic risks are the result of the interaction between vulnerability and resilience could help public officials and concerned parties to accurately identify the populations and communities at most risk or with the greatest need, which, in turn, helps in the efficient allocation of resources and services before, during and after a pandemic. A resilience-vulnerability-focused approach described in this paper can be applied to assess the potential effect of COVID-19 and similar future health crises in remote regions or regions with large Indigenous populations in other parts of the world.

Regional geographies and public health lessons of the COVID-19 pandemic in the Arctic.

Objectives: This study examines the COVID-19 pandemic's spatiotemporal dynamics in 52 sub-regions in eight Arctic states. This study further investigates the potential impact of early vaccination coverage on subsequent COVID-19 outcomes within these regions, potentially revealing public health insights of global significance. Methods: We assessed the outcomes of the COVID-19 pandemic in Arctic sub-regions using three key epidemiological variables: confirmed cases, confirmed deaths, and case fatality ratio (CFR), along with vaccination rates to evaluate the effectiveness of the early vaccination campaign on the later dynamics of COVID-19 outcomes in these regions. Results: From February 2020 to February 2023, the Arctic experienced five distinct waves of COVID-19 infections and fatalities. However, most Arctic regions consistently maintained Case Fatality Ratios (CFRs) below their respective national levels throughout these waves. Further, the regression analysis indicated that the impact of initial vaccination coverage on subsequent cumulative mortality rates and Case Fatality Ratio (CFR) was inverse and statistically significant. A common trend was the delayed onset of the pandemic in the Arctic due to its remoteness. A few regions, including Greenland, Iceland, the Faroe Islands, Northern Canada, Finland, and Norway, experienced isolated spikes in cases at the beginning of the pandemic with minimal or no fatalities. In contrast, Alaska, Northern Sweden, and Russia had generally high death rates, with surges in cases and fatalities. Conclusion: Analyzing COVID-19 data from 52 Arctic subregions shows significant spatial and temporal variations in the pandemic's severity. Greenland, Iceland, the Faroe Islands, Northern Canada, Finland, and Norway exemplify successful pandemic management models characterized by low cases and deaths. These outcomes can be attributed to successful vaccination campaigns, and proactive public health initiatives along the delayed onset of the pandemic, which reduced the impact of COVID-19, given structural and population vulnerabilities. Thus, the Arctic experience of COVID-19 informs preparedness for future pandemic-like public health emergencies in remote regions and marginalized communities worldwide that share similar contexts.

The second year of pandemic in the Arctic: examining spatiotemporal dynamics of the COVID-19 "Delta wave" in Arctic regions in 2021.

The second year of the COVID-19 pandemic in the Arctic was dominated by the Delta wave that primarily lasted between July and December 2021 with varied epidemiological outcomes. An analysis of the Arctic's subnational COVID-19 data revealed a massive increase in cases and deaths across all its jurisdictions but at varying time periods. However, the case fatality ratio (CFR) in most Arctic regions did not rise dramatically and was below national levels (except in Northern Russia). Based on the spatiotemporal patterns of the Delta outbreak, we identified four types of pandemic waves across Arctic regions: Tsunami (Greenland, Iceland, Faroe Islands, Northern Norway, Northern Finland, and Northern Canada), Superstorm (Alaska), Tidal wave (Northern Russia), and Protracted Wave (Northern Sweden). These regionally varied COVID-19 epidemiological dynamics are likely attributable to the inconsistency in implementing public health prevention measures, geographical isolation, and varying vaccination rates. A lesson remote and Indigenous communities can learn from the Arctic is that the three-prong (delay-prepare-respond) approach could be a tool in curtailing the impact of COVID-19 or future pandemics. This article is motivated by previous research that examined the first and second waves of the pandemic in the Arctic. Data are available at https://arctic.uni.edu/arctic-covid-19.

The "second wave" of the COVID-19 pandemic in the Arctic: regional and temporal dynamics.

This article focuses on the "second wave" of the COVID-19 pandemic in the Arctic and examines spatiotemporal patterns between July 2020 and January 2021. We analyse available COVID-19 data at the regional (subnational) level to elucidate patterns and typology of Arctic regions with respect to the COVID-19 pandemic. This article builds upon our previous research that examined the early phase of the COVID-19 pandemic between February and July 2020. The pandemic's "second wave" observed in the Arctic between September 2020 and January 2021 was severe in terms of COVID-19 infections and fatalities, having particularly strong impacts in Alaska, Northern Russia and Northern Sweden. Based on the spatiotemporal patterns of the "second wave" dynamics, we identified 5 types of the pandemic across regions: Shockwaves (Iceland, Faroe Islands, Northern Norway, and Northern Finland), Protracted Waves (Northern Sweden), Tidal Waves (Northern Russia), Tsunami Waves (Alaska), and Isolated Splashes (Northern Canada and Greenland). Although data limitations and gaps persist, monitoring of COVID-19 is critical for developing a proper understanding of the pandemic in order to develop informed and effective responses to the current crisis and possible future pandemics in the Arctic. Data used in this paper are available at https://arctic.uni.edu/arctic-covid-19.

Differences in beliefs about the causes of health disparities in Black and White nurses.

PURPOSE: To determine whether Black and White nurses' beliefs about causes of health disparities differ. CONCLUSIONS: Analyses reveal that overall Black nurses perceived external factors to contribute significantly more to health disparities than White nurses. Black nurses considered four specific causes dealing with physician and societal factors, such as "discrimination in society," to be more significant contributors to health disparities than White nurses, whereas White nurses considered genetic factors to be a greater contributor. PRACTICE IMPLICATIONS: Different views of the causes of health disparities are discussed, particularly in light of cultural competency training and other efforts to ameliorate health disparities.

Diabetes self-management activities for Latinos living in non-metropolitan rural communities: a snapshot of an underserved rural state.

The Latino community continues to grow in the rural Midwest, and diabetes is a pertinent disease for research in this demographic. Patient self-management is an important aspect of comprehensive care for diabetes and may mitigate complications. A cross-sectional survey assessed various activities including self-monitoring of blood glucose, personal foot inspection, diet adherence, and diabetes self-management education. Less than half of the sample performed self-monitoring of blood glucose daily (40 %), adhered strictly to special diabetes diet recommendations (44 %), or attended a diabetes self-management education class (48 %). Participants advised on personal foot inspection were three times more likely to perform the self-care activity. Improvements are indicated in these self-management activities. Further research is needed to discern disparities and barriers in self-monitoring of blood glucose among this target population. An increased emphasis on enrollment in diabetes self-management classes should target foreign-born Latinos with lower levels of education.

The numeracy demands of health education information: an examination of numerical concepts in written diabetes materials.

The comprehension of numerical concepts that appear in written health educational materials is an important aspect of health literacy. Health materials that include many advanced numerical concepts may place high demands on readers, especially those with low health literacy levels. The purpose of this study was to examine and document the types of numerical concepts that appear in passages selected from written diabetes educational materials that varied in their type of content. Readability of the passages was also analyzed. One hundred and fifty passages of 100 words each were selected from 50 diabetes-related educational documents, produced by major health organizations. Passages were coded for type of numerical concept, SMOG Reading Grade Level, Flesch Reading Ease, and features that elaborated the numerical concepts, such as pictures or explanations. Findings indicate that passages containing general information about diabetes and its prevention contained significantly more advanced numerical concepts, the highest reading grade level, the lowest reading ease scores, and the lowest frequency of elaborative features, relative to many other types of content. Recommendations are made for enhancing the presentation of numerical concepts in written diabetes educational materials.

Better care at safety net providers? Utilization of recommended standards of diabetes care for rural Latinos in one Midwestern state.

Latinos are overrepresented among the uninsured in the U.S., and rural Latinos face a variety of barriers to accessing quality health care. The present study investigated the degree to which Latinos with diabetes living in non-metropolitan towns in the state of Iowa receive the recommended diabetes care services from health care providers vis-à-vis access to care. Four process measures were selected from the American Diabetes Association standards of medical care for diabetes: glycated hemoglobin tests, comprehensive foot examination, dilated eye examination, and cholesterol test. Results from this research found that just over half (54%) of the sample received all four of these diabetes care services. Adjusted logistic regression analysis showed patients were four times more likely to receive the set of four diabetes care services at a community health center than at a private doctor's office. These community clinics deserve additional attention as more Latino immigrants move to the Midwest.