Nanobiosensors Potentialities for Monitoring SARS-CoV-2 in the Environment

The worldwide pandemic of coronavirus disease-2019 (COVID-19) is a devastating and distressing scenario that highlights humanity's inability to build fast diagnostic tools for emerging infectious diseases. However, the majority of existing approaches have a significant probability of false negatives, leading in patient diag-nostic errors and prolonging therapy. Nanoparticles have shown significant improve-ment and have the potential to be used as a platform for quickly and accurately identifying viral infection. The relevance of nanoparticles is potential platforms for COVID-19 diagnostics was emphasized in this research. In addition, nanomaterials have surface chemistry, which may be beneficial for the bioconjugation of molecules, large surface potential, and a significant amplification impact on signals. Due to various potential benefits, metallic nanomaterials like gold, silver nanoparticles, and carbon-based nanomaterials (carbon nanotube and graphene), nanogels, and photonic crystals are utilized for biosensing applications. In compared to traditional techniques for identifying severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), this study covers the most relevant aspects of nanobiosensor-based diagnostics tech-niques. Additionally, major potential challenges and prospects associated with the advancement of these distinct sensors for SARS-CoV-2 detection are discussed in detail. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection.

BACKGROUND: Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discover pathophysiological mechanisms. METHODS: Using measurements of ~4000 plasma proteins in two cohorts of patients hospitalized with COVID-19, we discovered and validated markers of COVID-associated AKI (stage 2 or 3) and long-term kidney dysfunction. In the discovery cohort (N = 437), we identified 413 higher plasma abundances of protein targets and 30 lower plasma abundances of protein targets associated with COVID-AKI (adjusted p < 0.05). Of these, 62 proteins were validated in an external cohort (p < 0.05, N = 261). RESULTS: We demonstrate that COVID-AKI is associated with increased markers of tubular injury (NGAL) and myocardial injury. Using estimated glomerular filtration (eGFR) measurements taken after discharge, we also find that 25 of the 62 AKI-associated proteins are significantly associated with decreased post-discharge eGFR (adjusted p < 0.05). Proteins most strongly associated with decreased post-discharge eGFR included desmocollin-2, trefoil factor 3, transmembrane emp24 domain-containing protein 10, and cystatin-C indicating tubular dysfunction and injury. CONCLUSIONS: Using clinical and proteomic data, our results suggest that while both acute and long-term COVID-associated kidney dysfunction are associated with markers of tubular dysfunction, AKI is driven by a largely multifactorial process involving hemodynamic instability and myocardial damage.

Acute kidney injury (AKI) is a sudden, sometimes fatal, episode of kidney failure or damage. It is a known complication of COVID-19, albeit through unclear mechanisms. COVID-19 is also associated with kidney dysfunction in the long term, or chronic kidney disease (CKD). There is a need to better understand which patients with COVID-19 are at risk of AKI or CKD. We measure levels of several thousand proteins in the blood of hospitalized COVID-19 patients. We discover and validate sets of proteins associated with severe AKI and CKD in these patients. The markers identified suggest that kidney injury in COVID-19 patients involves damage to kidney cells that reabsorb fluid from urine and reduced blood flow to the heart, causing damage to heart muscles. Our findings might help clinicians to predict kidney injury in patients with COVID-19, and to understand its mechanisms.

Mortality following mechanical thrombectomy for ischemic stroke in patients with COVID-19.

OBJECTIVES: Multiple prior studies have shown a relationship between COVID-19 and strokes; further, COVID-19 has been shown to influence both time-to-thrombectomy and overall thrombectomy rates. Using large-scale, recently released national data, we assessed the association between COVID-19 diagnosis and patient outcomes following mechanical thrombectomy. MATERIALS AND METHODS: Patients in this study were identified from the 2020 National Inpatient Sample. All patients with arterial strokes undergoing mechanical thrombectomy were identified using ICD-10 coding criteria. Patients were further stratified by COVID diagnosis (positive vs. negative). Other covariates, including patient/hospital demographics, disease severity, and comorbidities were collected. Multivariable analysis was used to determine the independent effect of COVID-19 on in-hospital mortality and unfavorable discharge. RESULTS: 5078 patients were identified in this study; 166 (3.3%) were COVID-19 positive. COVID-19 patients had a significantly higher mortality rate (30.1% vs. 12.4%, p < 0.001). When controlling for patient/hospital characteristics, APR-DRG disease severity, and Elixhauser Comorbidity Index, COVID-19 was an independent predictor of increased mortality (OR 1.13, p = 0.002). COVID-19 was not significantly related to discharge disposition (p = 0.480). Older age and increased APR-DRG disease severity were also correlated with increase morality. CONCLUSIONS: Overall, this study indicates that COVID-19 is a predictor of mortality among mechanical thrombectomy. This finding is likely multifactorial but may be related to multisystem inflammation, hypercoagulability, and re-occlusion seen in COVID-19 patients. Further research would be needed to clarify these relationships.

Homelessness, COVID-19, and discourses of contagion☆

In March 2020, when the COVID-19 pandemic began in Canada, public health and medical authorities quickly identified emergency shelters and people experiencing homelessness as particularly at risk of contracting and spreading COVID-19 (Knight et al., 2021). Drawing on interviews with 28 service providers in organizations that primarily serve people experiencing homelessness in Ottawa, Ontario, Canada and a media scan, we explored how people who worked in and accessed these organizations negotiated discourses of contagion and infection throughout the COVID-19 pandemic. This paper is informed by Goffman's (1963) theory of stigma, complemented by Crawford's (1994) idea of the Self and unhealthy Other. We argue that people experiencing homelessness, the spaces that they occupy, and the people they engage with, have been discursively marked as dangerous vectors of infection who present a risk to the health of the whole population, rather than described as vulnerable to the health consequences and social disruption of COVID-19. Consequently, people experiencing homelessness have experienced further stigmatization throughout the pandemic as they have been separated from their communities, friends, and families, left without support or shelter, internalized blame for the spread of COVID-19, and faced dehumanization, grief, and trauma resulting from uneven COVID-19 interventions. We highlight these findings to support the application of trauma- and violence-informed care in service settings to prevent the further traumatization of people experiencing homelessness in services intended to support them.

Outpatient telemedicine in neurosurgery: 15,677 consecutive encounters in a comparative analysis of its effectiveness and impact on the surgical conversion rate.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of telehealth visits (THVs). The effects on neurosurgical practice have not been well characterized, especially concerning new-patient THVs. Therefore, the authors of this study reviewed their institution's experience with outpatient clinic visits and THVs from before the COVID-19 pandemic to the present to focus on clinical metrics, rates of surgery, and the effects of implementing THVs in order to better understand their implications for clinical practice as more data emerge over time. METHODS: The authors reviewed 15,677 consecutive new outpatient in-person visits (IPVs), THVs, and neurosurgical procedures/cases proceeding from their institution between 2018 and 2022 for trends and associations related to THVs. RESULTS: Among spine patients, there was no difference in the proportion of encounters that led to surgery (surgical conversion rate) between THVs and IPVs (p = 0.49). Among cranial patients, THVs were negatively associated with conversion (OR 0.73, p = 0.03). On average, patients using THVs lived further from the hospital (p < 0.001); however, the patient catchment area appeared unchanged. The median distance to the hospital among THV patients was counterbalanced by a decreased distance for spine patients pursing IPVs (p < 0.001), with no significant change to case volume. There was no change in distance to the hospital among cranial patients. For both cranial and spine patients, surgical conversion was more likely among those who lived a great distance from the hospital if their initial encounter was an IPV (p = 0.007 and < 0.001, respectively). However, there was no relationship between distance from the hospital and surgical conversion among THV patients (p = 0.565). The availability of THVs did not significantly affect follow-up time (p = 0.837). For new patients at IPVs, there was no difference in time to the operating room between cranial and spine cases; for new patients at THVs, however, time to the operating room was significantly faster for cranial cases than for spine cases (p = 0.0018). CONCLUSIONS: Compared to IPVs, THVs lead to decreased surgical conversion for cranial patients but not spine patients. THVs do not appear to increase the catchment area. For patients who live far from the hospital, an IPV is associated with surgical conversion. Surgical conversion is faster following cranial THVs than after spine THVs. THVs did not increase the duration of follow-up.

Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19.

BACKGROUND AND OBJECTIVES: AKI treated with dialysis initiation is a common complication of coronavirus disease 2019 (COVID-19) among hospitalized patients. However, dialysis supplies and personnel are often limited. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Using data from adult patients hospitalized with COVID-19 from five hospitals from the Mount Sinai Health System who were admitted between March 10 and December 26, 2020, we developed and validated several models (logistic regression, Least Absolute Shrinkage and Selection Operator (LASSO), random forest, and eXtreme GradientBoosting [XGBoost; with and without imputation]) for predicting treatment with dialysis or death at various time horizons (1, 3, 5, and 7 days) after hospital admission. Patients admitted to the Mount Sinai Hospital were used for internal validation, whereas the other hospitals formed part of the external validation cohort. Features included demographics, comorbidities, and laboratory and vital signs within 12 hours of hospital admission. RESULTS: A total of 6093 patients (2442 in training and 3651 in external validation) were included in the final cohort. Of the different modeling approaches used, XGBoost without imputation had the highest area under the receiver operating characteristic (AUROC) curve on internal validation (range of 0.93-0.98) and area under the precision-recall curve (AUPRC; range of 0.78-0.82) for all time points. XGBoost without imputation also had the highest test parameters on external validation (AUROC range of 0.85-0.87, and AUPRC range of 0.27-0.54) across all time windows. XGBoost without imputation outperformed all models with higher precision and recall (mean difference in AUROC of 0.04; mean difference in AUPRC of 0.15). Features of creatinine, BUN, and red cell distribution width were major drivers of the model's prediction. CONCLUSIONS: An XGBoost model without imputation for prediction of a composite outcome of either death or dialysis in patients positive for COVID-19 had the best performance, as compared with standard and other machine learning models. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2021_07_09_CJN17311120.mp3.

What, how and who: Cost-effectiveness analyses of COVID-19 vaccination to inform key policies in Nigeria.

While safe and efficacious COVID-19 vaccines have achieved high coverage in high-income settings, roll-out remains slow in sub-Saharan Africa. By April 2022, Nigeria, a country of over 200 million people, had only distributed 34 million doses. To ensure the optimal use of health resources, cost-effectiveness analyses can inform key policy questions in the health technology assessment process. We carried out several cost-effectiveness analyses exploring different COVID-19 vaccination scenarios in Nigeria. In consultation with Nigerian stakeholders, we addressed three key questions: what vaccines to buy, how to deliver them and what age groups to target. We combined an epidemiological model of virus transmission parameterised with Nigeria specific data with a costing model that incorporated local resource use assumptions and prices, both for vaccine delivery as well as costs associated with care and treatment of COVID-19. Scenarios of vaccination were compared with no vaccination. Incremental cost-effectiveness ratios were estimated in terms of costs per disability-adjusted life years averted and compared to commonly used cost-effectiveness ratios. Viral vector vaccines are cost-effective (or cost saving), particularly when targeting older adults. Despite higher efficacy, vaccines employing mRNA technologies are less cost-effective due to high current dose prices. The method of delivery of vaccines makes little difference to the cost-effectiveness of the vaccine. COVID-19 vaccines can be highly effective and cost-effective (as well as cost-saving), although an important determinant of the latter is the price per dose and the age groups prioritised for vaccination. From a health system perspective, viral vector vaccines may represent most cost-effective choices for Nigeria, although this may change with price negotiation.

Surgical Management of Inferior Turbinate Hypertrophy in the Era of Widespread Communicable Disease.

Inferior turbinate reduction procedures have been performed for decades. After significant evolution, turbinoplasty and other mucosal-sparing techniques have become the main method to successfully reduce turbinate hypertrophy. The debate of which technique produces the most effective and durable outcomes is ongoing. During this critical era of widespread communicable diseases, including but not limited to COVID-19, HIV, and hepatitis, additional attention is necessary to balance outcomes with a degree of generation of airborne particles when selecting a technique. This review article aims to identify the optimal method for inferior turbinate reduction that weighs both outcomes and aerosol production. The MEDLINE database was searched to discover relevant publications through August 2022. Key search terms included inferior turbinate hypertrophy, turbinate reduction surgery, turbinoplasty methods, surgical management of turbinate hypertrophy, surgical aerosol generation, COVID-19 surgery, surgery smoke plume, SARS-CoV-2 transmission during surgery, and nasal procedures COVID-19 aerosols. Surgical management of the inferior turbinates includes radiofrequency ablation (RFA), microdebrider-assisted turbinoplasty (MAIT), electrocautery, laser, and ultrasound. Piezo-assisted turbinoplasty and a turbinate-specific coblation wand are new additions to the literature. All techniques appear to improve patient symptoms of nasal obstruction. MAIT and RFA are comparable, although MAIT demonstrated better long-term outcomes in some studies and appears to generate fewer airborne particles. Studies evaluating the production of aerosols due to RFA are lacking. Ultrasound outcomes are also excellent and generate no aerosols, but the technique has not been compared against the microdebrider. Electrocautery can result in increased pain and crusting for patients and causes the highest amount of aerosols. Deficiencies of current studies, including a lack of comparison of aerosol generation, duration of follow-up, omission of outfracture, and inadequate randomized controlled trials among existing and new techniques, have limited the identification of the best inferior turbinate reduction method. Given the durability of MAIT and its minimal aerosol production, it can be reinforced as the most sensible technique until further evidence is available.

SARS-CoV-2 Omicron boosting induces de novo B cell response in humans.

The primary two-dose SARS-CoV-2 mRNA vaccine series are strongly immunogenic in humans, but the emergence of highly infectious variants necessitated additional doses and the development of vaccines aimed at the new variants1-4. SARS-CoV-2 booster immunizations in humans primarily recruit pre-existing memory B cells5-9. However, it remains unclear whether the additional doses induce germinal centre reactions whereby re-engaged B cells can further mature, and whether variant-derived vaccines can elicit responses to variant-specific epitopes. Here we show that boosting with an mRNA vaccine against the original monovalent SARS-CoV-2 mRNA vaccine or the bivalent B.1.351 and B.1.617.2 (Beta/Delta) mRNA vaccine induced robust spike-specific germinal centre B cell responses in humans. The germinal centre response persisted for at least eight weeks, leading to significantly more mutated antigen-specific bone marrow plasma cell and memory B cell compartments. Spike-binding monoclonal antibodies derived from memory B cells isolated from individuals boosted with either the original SARS-CoV-2 spike protein, bivalent Beta/Delta vaccine or a monovalent Omicron BA.1-based vaccine predominantly recognized the original SARS-CoV-2 spike protein. Nonetheless, using a more targeted sorting approach, we isolated monoclonal antibodies that recognized the BA.1 spike protein but not the original SARS-CoV-2 spike protein from individuals who received the mRNA-1273.529 booster; these antibodies were less mutated and recognized novel epitopes within the spike protein, suggesting that they originated from naive B cells. Thus, SARS-CoV-2 booster immunizations in humans induce robust germinal centre B cell responses and can generate de novo B cell responses targeting variant-specific epitopes.

Aerosol Generation During Nasal Airway Instrumentation.

OBJECTIVE: Airborne aerosol transmission, an established mechanism of SARS-CoV-2 spread, has been successfully mitigated in the health care setting through the adoption of universal masking. Upper airway endoscopy, however, requires direct access to the face, thereby potentially exposing the clinic environment to infectious particles. This study quantifies aerosol production during rigid nasal endoscopy (RNE) and RNE with debridement (RNED) as compared with intubation, a posited gold standard aerosol-generating procedure. STUDY DESIGN: Prospective cross-sectional study. SETTING: Subspecialty single-center clinic and surgical study. METHOD: Three aerosol detectors (NANOSCAN-3910, OPS-3330, and APS-3321) with a particle size sensitivity of 10 to 20,000 nm were utilized to detect particulate production during the clinical care of 209 patients undergoing RNE/RNED and 25 patients undergoing intubation. RESULTS: RNE and RNED produced statistically significant particles over baseline in 29.3% and 51.0% of subjects (P = .003-.049 and .002-.047, respectively). Intubation produced statistically significant particles in 31.2% (P = .001-.015). The mean ± SD particle diameter in all tests was 69.9 ± 10.5 nm with 99.7% <300 nm. There were no statistical differences in particle production among RNE, RNED, and intubation. The presence of concomitant cough, sneeze, or prolonged speech similarly did not significantly affect particle production during any procedure. CONCLUSIONS: Instrumentation of nasal airway produces airborne aerosols to a similar degree of those seen during intubation, independent of reactive patient behaviors such as cough or sneeze. These data suggest that an improved understanding is necessary of both the definition of an aerosol-generating procedure and the functional consequences of procedural aerosol generation in clinical settings.

Protocol for a study on vicarious resilience in service providers for victims and survivors of violence.

Few national studies examine victim service providers (VSPs), the important work that they do, and the resources and strategies contributing to their wellness at work. The proposed study aims to investigate the vicarious resilience of those working within the Canadian victim services sector. Participants will be asked about the ways in which they have changed and experienced resilience through exposure to supporting their clients, in addition to the challenges and barriers that still exist. A mixed-methods study incorporating an online survey, virtual focus groups, and semi-structured in-depth interviews will explore job satisfaction, compassion fatigue, turnover intention, instances of workplace microaggressions, vicarious resilience, coping strategies and self-care of VSP participants. The results will contribute to the literature on themes related to the wellness of VSPs. Dissemination of results will provide a Canadian perspective on organizational wellness, including challenges encountered as a result of COVID-19, working conditions that require further advocacy, and emerging perspectives on protective factors.

Evaluating Feasibility, Value and Characteristics of an Intergenerational Friendly Telephone Visit Program During the Covid-19 Pandemic.

OBJECTIVE: Volunteer organizations offer telephone outreach to older adults to relieve feelings of loneliness and to promote emotional well-being, though the feasibility, perceived value, and characteristics of the participant experience of these community interventions have not been well-studied. We examined these elements of an intergenerational college-based telephone call program during the Covid-19 pandemic. METHODS: Community-dwelling older adults and undergraduate volunteers engaged in eight, weekly, 30-minute, unscripted telephone conversations. Feasibility criteria included enrollment, retention, and attendance rates. A rapid qualitative analysis of program evaluation responses was used to extract themes related to participants' experiences of the intervention. RESULTS: Ten older adults (mean age [range] 74.53 [70-84] years, 88% women) and nine undergraduates were enrolled from February to August 2021, achieving recruitment targets and enrollment rates of 76.9% and 90%. Seven out of the 10 enrolled dyads completed the full series of eight telephone conversations and qualitative assessments over an average of 10.5 weeks. Most older adults who completed the call schedule valued the conversations as a source of social connection, noting the mutuality, respect, and broadened perspective that characterized their intergenerational relationships. Undergraduates described value in giving to others and in conversations that stimulated personal reflection and feelings of closeness. Undergraduates frequently described their experience as novel and broadening of their perspectives. CONCLUSION: Though study completion rate and participant experience varied across dyads, we found qualitative evidence of perceived value, active relationship-building and broadened perspectives among many older adults and undergraduates who completed an intergenerational telephone program.

U.S. adults' reasons for changing their degree of willingness to vaccinate against COVID-19.

Introduction: COVID-19 vaccines significantly reduce the risk of complications and hospitalizations due to this virus. When COVID-19 vaccines first became commercially available, roughly 30% of U.S. adults reported being hesitant to receive these newly developed vaccines, and 15% said they would not receive the vaccine. However, by May 2021, 19% of adults were vaccine-hesitant, and 13% refused to vaccinate against COVID-19. It is critical to understand why adults' degree of willingness to vaccinate against COVID-19 changed over time to plan for future pandemics and vaccination campaigns. Methods: We conducted two waves of survey research over five months (January and May 2021) with a panel of 890 U.S. adults. One survey question assessed willingness to vaccinate against COVID-19. The response option included a slider scale ranging from 0 (signifying complete unwillingness) to 10 (complete willingness). We asked participants whose willingness score changed by more than one point to report their rationale for their change in perceptions. We conducted a conventional content analysis on all qualitative responses. Results: We analyzed qualitative responses for 289 participants, 54.7% of whom had not been vaccinated against COVID-19 by May 2021. Among those who remained unvaccinated, 36.1% reported increased willingness to vaccinate. The most commonly cited reasons for becoming more willing to receive the vaccine include believing that COVID-19 vaccines are safe and effective, protecting against the pandemic, and desiring to return to pre-pandemic life. Reasons for increased COVID-19 vaccine hesitancy include vaccine safety concerns, the low perceived need for the vaccine, distrust in how COVID-19 vaccines are made and of larger institutions such as the government and pharmaceutical companies, and concerns about vaccine effectiveness. Conclusion: Findings illuminate the rationale behind individuals' changes in their degree of willingness to vaccinate against COVID-19. It is critical to incorporate these considerations in future vaccine rollout initiatives to increase the public's vaccine confidence.

Investigating the Use of SARS-CoV-2 (COVID-19) Odor Expression as a Non-Invasive Diagnostic Tool-Pilot Study.

Since the beginning of the COVID-19 pandemic, there has been enormous interest in the development of measures that would allow for the swift detection of the disease. The rapid screening and preliminary diagnosis of SARS-CoV-2 infection allow for the instant identification of possibly infected individuals and the subsequent mitigation of the disease spread. Herein, the detection of SARS-CoV-2-infected individuals was explored using noninvasive sampling and low-preparatory-work analytical instrumentation. Hand odor samples were obtained from SARS-CoV-2-positive and -negative individuals. The volatile organic compounds (VOCs) were extracted from the collected hand odor samples using solid phase microextraction (SPME) and analyzed using gas chromatography coupled with mass spectrometry (GC-MS). Sparse partial least squares discriminant analysis (sPLS-DA) was used to develop predictive models using the suspected variant sample subsets. The developed sPLS-DA models performed moderately (75.8% (±0.4) accuracy, 81.8% sensitivity, 69.7% specificity) at distinguishing between SARS-CoV-2-positive and negative -individuals based on the VOC signatures alone. Potential markers for distinguishing between infection statuses were preliminarily acquired using this multivariate data analysis. This work highlights the potential of using odor signatures as a diagnostic tool and sets the groundwork for the optimization of other rapid screening sensors such as e-noses or detection canines.

Commentary on the use of the reproduction number R during the COVID-19 pandemic.

Since the beginning of the COVID-19 pandemic, the reproduction number [Formula: see text] has become a popular epidemiological metric used to communicate the state of the epidemic. At its most basic, [Formula: see text] is defined as the average number of secondary infections caused by one primary infected individual. [Formula: see text] seems convenient, because the epidemic is expanding if [Formula: see text] and contracting if [Formula: see text]. The magnitude of [Formula: see text] indicates by how much transmission needs to be reduced to control the epidemic. Using [Formula: see text] in a naïve way can cause new problems. The reasons for this are threefold: (1) There is not just one definition of [Formula: see text] but many, and the precise definition of [Formula: see text] affects both its estimated value and how it should be interpreted. (2) Even with a particular clearly defined [Formula: see text], there may be different statistical methods used to estimate its value, and the choice of method will affect the estimate. (3) The availability and type of data used to estimate [Formula: see text] vary, and it is not always clear what data should be included in the estimation. In this review, we discuss when [Formula: see text] is useful, when it may be of use but needs to be interpreted with care, and when it may be an inappropriate indicator of the progress of the epidemic. We also argue that careful definition of [Formula: see text], and the data and methods used to estimate it, can make [Formula: see text] a more useful metric for future management of the epidemic.

U.S. adults' reasons for changing their degree of willingness to vaccinate against COVID-19

Introduction COVID-19 vaccines significantly reduce the risk of complications and hospitalizations due to this virus. When COVID-19 vaccines first became commercially available, roughly 30% of U.S. adults reported being hesitant to receive these newly developed vaccines, and 15% said they would not receive the vaccine. However, by May 2021, 19% of adults were vaccine-hesitant, and 13% refused to vaccinate against COVID-19. It is critical to understand why adults' degree of willingness to vaccinate against COVID-19 changed over time to plan for future pandemics and vaccination campaigns. Methods We conducted two waves of survey research over five months (January and May 2021) with a panel of 890 U.S. adults. One survey question assessed willingness to vaccinate against COVID-19. The response option included a slider scale ranging from 0 (signifying complete unwillingness) to 10 (complete willingness). We asked participants whose willingness score changed by more than one point to report their rationale for their change in perceptions. We conducted a conventional content analysis on all qualitative responses. Results We analyzed qualitative responses for 289 participants, 54.7% of whom had not been vaccinated against COVID-19 by May 2021. Among those who remained unvaccinated, 36.1% reported increased willingness to vaccinate. The most commonly cited reasons for becoming more willing to receive the vaccine include believing that COVID-19 vaccines are safe and effective, protecting against the pandemic, and desiring to return to pre-pandemic life. Reasons for increased COVID-19 vaccine hesitancy include vaccine safety concerns, the low perceived need for the vaccine, distrust in how COVID-19 vaccines are made and of larger institutions such as the government and pharmaceutical companies, and concerns about vaccine effectiveness. Conclusion Findings illuminate the rationale behind individuals' changes in their degree of willingness to vaccinate against COVID-19. It is critical to incorporate these considerations in future vaccine rollout initiatives to increase the public's vaccine confidence.

Rural Americans' COVID-19 Vaccine Perceptions and Willingness to Vaccinate against COVID-19 with Their Community Pharmacists: An Exploratory Study.

In early 2022 in the U.S., rural adults were the least likely to vaccinate against COVID-19 due to vaccine hesitancy and reduced healthcare access. This study explored the factors influencing rural adults' COVID-19 vaccine perceptions and their acceptance of pharmacist-administered vaccination. We utilized phone-based semi-structured interviews with 30 adults living in rural regions of one southwestern state and analyzed the data using a team-based thematic analysis approach. Vaccine-willing participants described knowing other people affected by the virus and their desired protection from the virus. They reported trusting scientific institutions and the government to provide safe vaccines. Vaccine-hesitant populations, however, feared that the COVID-19 vaccine development process had been rushed, compromising the safety of these newer vaccines. Although they differed in the news sources they preferred for receiving COVID-19 vaccine information, both vaccine-willing and vaccine-hesitant participants described trusting local authorities, such as healthcare providers and county government officials, to provide accurate COVID-19 vaccine information. Regarding the acceptability of pharmacist-administered COVID-19 vaccinations, all but one participant described their acceptance of this healthcare delivery approach. Future outreach should leverage rural adults' trust in local sources, including community pharmacists, deemed more convenient access points to healthcare, when addressing vaccine hesitancy.