The Impact of the COVID-19 Pandemic on Tobacco Treatment Program Implementation at NCI-Designated Cancer Centers.

INTRODUCTION: The COVID-19 pandemic disrupted cancer screening and treatment delivery, but COVID-19's impact on tobacco cessation treatment for cancer patients who smoke has not been widely explored. METHODS: We conducted a sequential cross-sectional analysis of data collected from 34 NCI-designated cancer centers participating in NCI's Cancer Center Cessation Initiative (C3I), across three reporting periods: one prior to COVID-19 (January-June 2019) and two during the pandemic (January-June 2020, January-June 2021). Using McNemar's Test of Homogeneity, we assessed changes in services offered and implementation activities over time. RESULTS: The proportion of centers offering remote treatment services increased each year for Quitline referrals (56%, 68%, and 91%; p=.000), telephone counseling (59%, 79%, and 94%; p=.002), and referrals to Smokefree TXT (27%, 47%, and 56%; p=.006). Centers offering video-based counseling increased from 2020 to 2021 (18% to 59%; p=.006), Fewer than 10% of centers reported laying off tobacco treatment staff. Compared to early 2020, in 2021 C3I centers reported improvements in their ability to maintain staff and clinician morale, refer to external treatment services, train providers to deliver tobacco treatment, and modify clinical workflows. DISCUSSION: The COVID-19 pandemic necessitated rapid transition to new telehealth program delivery of tobacco treatment for patients with cancer. C3I cancer centers adjusted rapidly to challenges presented by the pandemic, with improvements reported in staff morale and ability to train providers, refer patients to tobacco treatment, and modify clinical workflows. These factors enabled C3I centers to sustain evidence-based tobacco treatment implementation during and beyond the COVID-19 pandemic. IMPLICATIONS: This work describes how NCI-designated cancer centers participating in the Cancer Center Cessation Initiative (C3I) adapted to challenges to sustain evidence-based tobacco use treatment programs during the COVID-19 pandemic. This work offers a model for resilience and rapid transition to remote tobacco treatment services delivery and proposes a policy and research agenda for telehealth services as an approach to sustaining evidence-based tobacco treatment programs.

Factors contributing to the sharing of COVID-19 health information amongst refugee communities in a regional area of Australia: a qualitative study.

BACKGROUND: The COVID-19 pandemic has had a disproportionate impact on culturally and linguistically diverse (CALD) groups worldwide. Newly emerging CALD populations formed by recently arrived refugees are predisposed to even greater health disadvantages due to complexities of the refugee experience. The aim of this study was to explore how culture, refugee experiences and existing relationships shaped what COVID-19 messages were listened to and shared during the early-mid phases of the pandemic. The work focused on three newly emerging refugee groups in the Hunter New England region, Australia: Afghan, Congolese and Syrian communities. METHODS: Qualitative, semi-structured interviews were conducted to explore the experiences and stories of 15 adult community members, nine influential members and six service providers. All community members arrived in Australia on or after January 2014. Interpreter-assisted interviews were conducted with small groups or individuals, audio-recorded and transcribed verbatim in English. Three levels of thematic data analysis were employed to uncover the important issues and experiences of the participants. RESULTS: Three key themes and several subthemes were identified. The themes were: 1) Experience as a refugee uniquely influences COVID-19 message communication; 2) Refugee groups use diverse practices when accessing and sharing COVID-19 messages; and 3) Official government messages could be improved by listening and tailoring to community needs. CONCLUSIONS: Effective health messaging relies on reaching communities in a culturally acceptable and meaningful way. Official COVID-19 messages can be tailored to engage newly emerging communities by improving the quality of the content, delivery and format whilst working collaboratively with communities and trusted service providers. Further mutual research is needed to understand emerging communities' viewpoints. The use of culturally informed approaches is recommended.

Mild respiratory COVID can cause multi-lineage neural cell and myelin dysregulation.

COVID survivors frequently experience lingering neurological symptoms that resemble cancer-therapy-related cognitive impairment, a syndrome for which white matter microglial reactivity and consequent neural dysregulation is central. Here, we explored the neurobiological effects of respiratory SARS-CoV-2 infection and found white-matter-selective microglial reactivity in mice and humans. Following mild respiratory COVID in mice, persistently impaired hippocampal neurogenesis, decreased oligodendrocytes, and myelin loss were evident together with elevated CSF cytokines/chemokines including CCL11. Systemic CCL11 administration specifically caused hippocampal microglial reactivity and impaired neurogenesis. Concordantly, humans with lasting cognitive symptoms post-COVID exhibit elevated CCL11 levels. Compared with SARS-CoV-2, mild respiratory influenza in mice caused similar patterns of white-matter-selective microglial reactivity, oligodendrocyte loss, impaired neurogenesis, and elevated CCL11 at early time points, but after influenza, only elevated CCL11 and hippocampal pathology persisted. These findings illustrate similar neuropathophysiology after cancer therapy and respiratory SARS-CoV-2 infection which may contribute to cognitive impairment following even mild COVID.

Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods.

BACKGROUND: A combined forecast from multiple models is typically more accurate than an individual forecast, but there are few examples of studies of combining in infectious disease forecasting. We investigated the accuracy of different ways of combining interval forecasts of weekly incident and cumulative coronavirus disease-2019 (COVID-19) mortality. METHODS: We considered weekly interval forecasts, for 1- to 4-week prediction horizons, with out-of-sample periods of approximately 18 months ending on 8 January 2022, for multiple locations in the United States, using data from the COVID-19 Forecast Hub. Our comparison involved simple and more complex combining methods, including methods that involve trimming outliers or performance-based weights. Prediction accuracy was evaluated using interval scores, weighted interval scores, skill scores, ranks, and reliability diagrams. RESULTS: The weighted inverse score and median combining methods performed best for forecasts of incident deaths. Overall, the leading inverse score method was 12% better than the mean benchmark method in forecasting the 95% interval and, considering all interval forecasts, the median was 7% better than the mean. Overall, the median was the most accurate method for forecasts of cumulative deaths. Compared to the mean, the median's accuracy was 65% better in forecasting the 95% interval, and 43% better considering all interval forecasts. For all combining methods except the median, combining forecasts from only compartmental models produced better forecasts than combining forecasts from all models. CONCLUSIONS: Combining forecasts can improve the contribution of probabilistic forecasting to health policy decision making during epidemics. The relative performance of combining methods depends on the extent of outliers and the type of models in the combination. The median combination has the advantage of being robust to outlying forecasts. Our results support the Hub's use of the median and we recommend further investigation into the use of weighted methods.

Ezidi voices: The communication of COVID-19 information amongst a refugee community in rural Australia- a qualitative study.

BACKGROUND: There is growing evidence that government health information related to COVID-19 has failed to adequately reach culturally and linguistically diverse (CALD) populations in Australia. Refugees are a unique sub-set of the CALD communities and are subject to numerous barriers preventing adequate health care, both pre- and post-migration. The barriers are accentuated during emergencies, such as a pandemic, as a result of an intersection of various social and economic inequalities. The recently resettled Ezidi refugee community in a regional area of Australia is an example of a community sitting at the intersection of various inequities and thus at greater risk from COVID-19. The purpose of this study is to describe the experiences of the Ezidi in a regional area with COVID-19 information and how this has been communicated to and shared within this group; what barriers the community may experience in accessing COVID-19 information; and how the government-led COVID-19 information communication could be improved. METHODS: This qualitative study was designed to explore the perceptions and views of the Ezidi and service providers regarding COVID-19 messaging. Multicultural and Refugee Health staff facilitated interviews with four local service providers and ten Ezidi community members, including seven influential leaders. Thematic analysis was employed across individual, pair and group data analysis. Similar categories were grouped into themes. RESULTS: The main findings of the study are: the refugee experience influences the communication of COVID-19 messages; cultural, social and gender norms influence responses to COVID-19; trusted individuals and service providers are key in communities' uptake of COVID-19 messages; currently available governmental COVID-19 information resources and sharing strategies were found unhelpful and inappropriate; COVID-19 communiqués and message delivery for this regional minority refugee community can be improved. CONCLUSION: The recently resettled Ezidi community, and likely other similar communities, would benefit from tailored engagement by government organisations, as well as settlement services to improve the communication of COVID-19 health information and reduce related inequities.

COVID-19-Associated Deaths After SARS-CoV-2 Infection During Pregnancy - Mississippi, March 1, 2020-October 6, 2021.

Pregnant and recently pregnant women are at increased risk for severe illness and death from COVID-19 compared with women who are not pregnant or were not recently pregnant (1,2). CDC recommends COVID-19 vaccination for women who are pregnant, recently pregnant, trying to become pregnant, or might become pregnant in the future.*,† This report describes 15 COVID-19-associated deaths after infection with SARS-CoV-2 (the virus that causes COVID-19) during pregnancy in Mississippi during March 1, 2020-October 6, 2021.

Combining probabilistic forecasts of COVID-19 mortality in the United States.

The COVID-19 pandemic has placed forecasting models at the forefront of health policy making. Predictions of mortality, cases and hospitalisations help governments meet planning and resource allocation challenges. In this paper, we consider the weekly forecasting of the cumulative mortality due to COVID-19 at the national and state level in the U.S. Optimal decision-making requires a forecast of a probability distribution, rather than just a single point forecast. Interval forecasts are also important, as they can support decision making and provide situational awareness. We consider the case where probabilistic forecasts have been provided by multiple forecasting teams, and we combine the forecasts to extract the wisdom of the crowd. We use a dataset that has been made publicly available from the COVID-19 Forecast Hub. A notable feature of the dataset is that the availability of forecasts from participating teams varies greatly across the 40 weeks in our study. We evaluate the accuracy of combining methods that have been previously proposed for interval forecasts and predictions of probability distributions. These include the use of the simple average, the median, and trimming methods. In addition, we propose several new weighted combining methods. Our results show that, although the median was very useful for the early weeks of the pandemic, the simple average was preferable thereafter, and that, as a history of forecast accuracy accumulates, the best results can be produced by a weighted combining method that uses weights that are inversely proportional to the historical accuracy of the individual forecasting teams.

A qualitative study exploring older smokers' attitudes and motivation toward quitting during the COVID-19 pandemic.

Older individuals who smoke are at increased risk of having severe outcomes from COVID-19, due to their long-term smoking and underlying health conditions. In this qualitative study, we explored the impact of COVID-19 on attitudes toward smoking and motivation to quit. Participants (N = 30) were enrolled in a larger ongoing randomized controlled smoking cessation trial conducted in the lung cancer screening setting. From March to May 2020, we assessed quantitative and qualitative responses to participants' overall concern about COVID-19, changes in amount smoked, and motivation to reduce/quit smoking. Responses to the quantitative questions indicated that 64.3% of participants were extremely concerned with COVID-19, 20.7% reported reductions in amount smoked, and 37.9% reported increased motivation to quit. The qualitative responses, which were transcribed and coded using Consensual Qualitative Research guidelines, expanded upon these findings by providing the content of participants' concerns, which included perceived risk of contracting COVID-19, the added stressors caused by COVID-19, and a variable impact on the amount smoked and motivation to quit. Although half of participants expressed extreme concern regarding COVID-19, fewer indicated increased motivation or reduced smoking. Qualitative themes suggested that the initial two months of the pandemic prompted some smokers to reduce or quit, but it exacerbated smoking triggers for others. Understanding how the pandemic continues to affect this vulnerable group will aid in adapting methods to support their efforts to stop smoking and remain abstinent.

Factors Associated with Positive SARS-CoV-2 Test Results in Outpatient Health Facilities and Emergency Departments Among Children and Adolescents Aged <18 Years - Mississippi, September-November 2020.

As of December 14, 2020, children and adolescents aged <18 years have accounted for 10.2% of coronavirus disease 2019 (COVID-19) cases reported in the United States.* Mitigation strategies to prevent infection with SARS-CoV-2, the virus that causes COVID-19, among persons of all ages, are important for pandemic control. Characterization of risk factors for SARS-CoV-2 infection among children and adolescents can inform efforts by parents, school and program administrators, and public health officials to reduce SARS-CoV-2 transmission. To assess school, community, and close contact exposures associated with pediatric COVID-19, a case-control study was conducted to compare exposures reported by parents or guardians of children and adolescents aged <18 years with SARS-CoV-2 infection confirmed by reverse transcription-polymerase chain reaction (RT-PCR) testing (case-patients) with exposures reported among those who received negative SARS-CoV-2 RT-PCR test results (control participants). Among 397 children and adolescents investigated, in-person school or child care attendance ≤14 days before the SARS-CoV-2 test was reported for 62% of case-patients and 68% of control participants and was not associated with a positive SARS-CoV-2 test result (adjusted odds ratio [aOR] = 0.8, 95% confidence interval [CI] = 0.5-1.3). Among 236 children aged ≥2 years who attended child care or school during the 2 weeks before SARS-CoV-2 testing, parents of 64% of case-patients and 76% of control participants reported that their child and all staff members wore masks inside the facility (aOR = 0.4, 95% CI = 0.2-0.8). In the 2 weeks preceding SARS-CoV-2 testing, case-patients were more likely to have had close contact with a person with known COVID-19 (aOR = 3.2, 95% CI = 2.0-5.0), have attended gatherings† with persons outside their household, including social functions (aOR = 2.4, 95% CI = 1.1-5.5) or activities with other children (aOR = 3.3, 95% CI = 1.3-8.4), or have had visitors in the home (aOR = 1.9, 95% CI = 1.2-2.9) than were control participants. Close contacts with persons with COVID-19 and gatherings contribute to SARS-CoV-2 infections in children and adolescents. Consistent use of masks, social distancing, isolation of infected persons, and quarantine of those who are exposed to the virus continue to be important to prevent COVID-19 spread.

How Support of Early Career Researchers Can Reset Science in the Post-COVID19 World.

The COVID19 crisis has magnified the issues plaguing academic science, but it has also provided the scientific establishment with an unprecedented opportunity to reset. Shoring up the foundation of academic science will require a concerted effort between funding agencies, universities, and the public to rethink how we support scientists, with a special emphasis on early career researchers.