Racial/Ethnic Disparities in Health Care Setting Choice for Adults Seeking Severe Acute Respiratory Syndrome Coronavirus 2 Testing.

OBJECTIVES: Equitable access to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing is important for reducing disparities. We sought to examine differences in the health care setting choice for SARS-CoV-2 testing by race/ethnicity and insurance. Options included traditional health care settings and mobile testing units (MTUs) targeting communities experiencing disproportionately high coronavirus disease 2019 (COVID-19) rates. METHODS: We conducted a retrospective, observational study among patients in a large health system in the Southeastern US. Descriptive statistics and multinomial logistic regression analyses were employed to evaluate associations between patient characteristics and health care setting choice for SARS-CoV-2 testing, defined as: (1) outpatient (OP) care; (2) emergency department (ED); (3) urgent care (UC); and (4) MTUs. Patient characteristics included race/ethnicity, insurance, and the existence of an established relationship with the health care system. RESULTS: Our analytic sample included 105,386 adult patients tested for SARS-CoV-2. Overall, 55% of patients sought care at OP, 24% at ED, 12% at UC, and 9% at MTU. The sample was 58% White, 24% Black, 11% Hispanic, and 8% other race/ethnicity. Black patients had a higher likelihood of getting tested through the ED compared with White patients. Hispanic patients had the highest likelihood of testing at MTUs. Patients without a primary care provider had a higher relative risk of being tested through the ED and MTUs versus OP. CONCLUSIONS: Disparities by race/ethnicity were present in health care setting choice for SARS-CoV-2 testing. Health care systems may consider implementing mobile care delivery models to reach vulnerable populations. Our findings support the need for systemic change to increase primary care and health care access beyond short-term pandemic solutions.

Carbon dots for virus detection and therapy.

Recent experience with the COVID-19 pandemic should be a lesson learnt with respect to the effort we have to invest in the development of new strategies for the treatment of viral diseases, along with their cheap, easy, sensitive, and selective detection. Since we live in a globalized world where just hours can play a crucial role in the spread of a virus, its detection must be as quick as possible. Thanks to their chemical stability, photostability, and superior biocompatibility, carbon dots are a kind of nanomaterial showing great potential in both the detection of various virus strains and a broad-spectrum antiviral therapy. The biosensing and antiviral properties of carbon dots can be tuned by the selection of synthesis precursors as well as by easy post-synthetic functionalization. In this review, we will first summarize current options of virus detection utilizing carbon dots by either electrochemical or optical biosensing approaches. Secondly, we will cover and share the up-to-date knowledge of carbon dots' antiviral properties, which showed promising activity against various types of viruses including SARS-CoV-2. The mechanisms of their antiviral actions will be further adressed as well. Finally, we will discuss the advantages and distadvantages of the use of carbon dots in the tangled battle against viral infections in order to provide valuable informations for further research and development of new virus biosensors and antiviral therapeutics.

The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis.

When encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number R t was obtained to evaluate the measures controlling the COVID-19 conducted by the Government of Japan during different stages. It was found that the strict containing strategies during the state of emergency period drastically inhibit the COVID-19 trend. R t was decreased to 1.1123 and 0.8911 in stages 4 and 5 (a state of emergency in April and May 2020) from 3.5736, 2.0126, 3.0672 in the previous three stages when the containing strategies were weak. The state of emergency was declared again in view of the second wave of massive infections in January 2021. We estimated the cumulative infected cases and additional days to contain the COVID-19 transmission for the second state of emergency using this model. R t was 1.028 which illustrated that the strategies were less effective than the previous state of emergency. Finally, the overall infected population was predicted using combined isolation and testing intensity; the effectiveness and the expected peak time were evaluated. If using the optimized control strategies in the current stage, the spread of COVID-19 in Japan could be controlled within 30 days. The total confirmed cases should reduce to less than 4.2 × 105 by April 2021. This model study suggested stricter isolating measures may be required to shorten the period of the state of emergency.

Brief Report: COVID-19 Testing, Characteristics, and Outcomes Among People Living With HIV in an Integrated Health System.

BACKGROUND: Understanding the attributes of COVID-19 clinical severity among people living with HIV (PLWH) compared with those in HIV-uninfected patients is critical for risk stratification and treatment strategies. METHODS: We conducted a retrospective study at Kaiser Permanente Southern California among PLWH aged 18 years or older. We compared the incidence of SARS-CoV-2 molecular testing, COVID-19 diagnosis, and COVID-19 hospitalization among PLWH and HIV-uninfected adults. A chart review was conducted for PLWH with COVID-19 to examine viral suppression of HIV and most recent CD4+ counts in the year before COVID-19 diagnosis, known exposures to COVID-19, and clinical presentation. RESULTS: Between March 1, 2020, and May 31, 2020, the incidence of SARS-CoV-2 molecular testing, COVID-19 diagnosis, and COVID-19 hospitalization was 551.2, 57.0, and 9.3 per 10,000 PLWH, respectively, compared with 268.4, 34.6, and 5.3 per 10,000 HIV-uninfected individuals, respectively. Among those with COVID-19, the distribution of race/ethnicity, smoking status, and comorbidities was similar in PLWH and HIV-uninfected patients; however, PLWH were mostly men, younger, and less obese than HIV-uninfected individuals. Health care utilization regarding emergency care and hospitalizations in the year before COVID-19-related hospitalization was similar between the groups. Overall, HIV was virologically suppressed in >95% of PLWH with COVID-19, and HIV viral load and CD4+ status did not differ between hospitalized and nonhospitalized patients. CONCLUSIONS: In this population of patients with well-controlled HIV infection, the incidence of testing, diagnosis, and hospitalization for COVID-19 was higher in PLWH than that in HIV-uninfected patients.

Detection of SARS-CoV-2 DNA Targets Using Femtoliter Optofluidic Waveguides.

Chip-scale SARS-CoV-2 testing was demonstrated using silicon nitride (Si3N4) nanoslot fluidic waveguides to detect a tagged oligonucleotide with a coronavirus DNA sequence. The slot waveguides were fabricated using complementary metal-oxide-semiconductor (CMOS) fabrication processes, including multiscale lithography and selective reactive ion etching (RIE), forming femtoliter fluidic channels. Finite difference method (FDM) simulation was used to calculate the optical field distribution of the waveguide mode when the waveguide sensor was excited by transverse electric (TE) and transverse magnetic (TM) polarized light. For the TE polarization, a strong optical field was created in the slot region and its field intensity was 14× stronger than the evanescent sensing field from the TM polarization. The nanoscale confinement of the optical sensing field significantly enhanced the light-analyte interaction and improved the optical sensitivity. The sensitivity enhancement was experimentally demonstrated by measuring the polarization-dependent fluorescence emission from the tagged oligonucleotide. The photonic chips consisting of femtoliter Si3N4 waveguides provide a low-cost and high throughput platform for real-time virus identification, which is critical for point-of-care (PoC) diagnostic applications.

SARS-CoV-2 Testing, Positivity Rates, and Healthcare Outcomes in a Cohort of 22,481 Breast Cancer Survivors.

PURPOSE: As health inequities during the pandemic have been magnified, we evaluated how use of SARS-CoV-2 testing differed by race or ethnicity in a large cohort of breast cancer survivors and examined the correlates of testing positive. METHODS: We conducted a retrospective cohort study of 22,481 adult breast cancer survivors who were active members of a large California integrated healthcare plan in 2020. We collected data on their breast cancer diagnosis, comorbidity, and demographic characteristics. We examined SARS-CoV-2 testing utilization between March 2020 and September 2020 by race or ethnicity, comorbidity, and other patient characteristics. We also examined the correlates of a having a positive SARS-CoV-2 test result. We conducted bivariable and multivariable logistic regression to identify correlates of testing utilization and test positivity. RESULTS: Of these 22,481 women, 3,288 (14.6%) underwent SARS-CoV-2 testing. The cohort included 51.8% women of color. Of the 3,288 tested, 264 (8.0%) women had a positive test result. In multivariable analyses, Latinx survivors were more likely (adjusted odds ratio [OR], 1.23; 95% CI, 1.12 to 1.34) to undergo testing than White survivors; however, Asian or Pacific Islander survivors were 16% less likely to get tested (adjusted OR, 0.84; 95% CI, 0.75 to 0.94). Compared to White survivors, Latinx survivors were 3.5 times (adjusted OR, 3.47; 95% CI, 2.52 to 4.77) and Asian or Pacific Islander or Other survivors were 2.2-fold (adjusted OR, 2.23; 95% CI, 1.49 to 3.34) more likely to test positive. Being overweight (adjusted OR, 1.83; 95% CI, 1.24 to 2.72) or obese (adjusted OR, 2.04; 95% CI, 1.39 to 2.98) were also strongly associated with SARS-CoV-2 positivity. CONCLUSION: Even in an integrated healthcare system, Asian or Pacific Islander patients were less likely to undergo SARS-CoV-2 testing than White survivors, but more likely to test positive. Additionally, Latinx ethnicity and high body mass index were strongly correlated with a greater odds of SARS-CoV-2 test positivity.

Characteristics and Outcome of SARS-CoV-2 Infection in Cancer Patients.

BACKGROUND: Concerns have emerged about the higher risk of fatal coronavirus disease 2019 (COVID-19) in cancer patients. In this article, we review the experience of a comprehensive cancer center. METHODS: A prospective registry was set up at Institut Curie at the beginning of the COVID-19 pandemic. All cancer patients with suspected or proven COVID-19 were entered and actively followed for 28 days. RESULTS: Among 9842 patients treated at Institut Curie between March 13 and May 1, 2020, 141 (1.4%) were diagnosed with COVID-19, based on reverse transcription polymerase chain reaction testing and/or computerized tomography scan. In line with our case mix, breast cancer (40.4%) was the most common tumor type, followed by hematological and lung malignancies. Patients with active cancer therapy or/and advanced cancer accounted for 87.9% and 68.9% of patients, respectively. At diagnosis, 78.7% of patients had COVID-19-related symptoms, with an extent of lung parenchyma involvement inferior to 50% in 95.8% of patients. Blood count variations and C-reactive protein elevation were the most common laboratory abnormalities. Antibiotics and antiviral agents were administered in 48.2% and 6.4% of patients, respectively. At the time of analysis, 26 patients (18.4%) have died from COVID-19, and 100 (70.9%) were cured. Independent prognostic factors at the time of COVID-19 diagnosis associated with death or intensive care unit admission were extent of COVID-19 pneumonia and decreased O2 saturation. CONCLUSIONS: COVID-19 incidence and presentation in cancer patients appear to be very similar to those in the general population. The outcome of COVID-19 is primarily driven by the initial severity of infection rather than patient or cancer characteristics.