Investigating stigma during the COVID-19 pandemic: Living conditions, social determinants and experiences of infection among employees at a tertiary referral cancer centre.

AIM: Healthcare workers (HCWs) have reported negative social experiences during the COVID-19 pandemic; however, this data is largely from medical personnel. We examined living conditions, social determinants, and experiences during the COVID-19 pandemic among all cadres of employees who had recovered from COVID-19 at a tertiary referral cancer hospital in India. METHODS: We conducted a mixed methods study combining a questionnaire-based survey followed by semi-structured interviews with open-ended questions, among hospital staff who recovered from COVID-19 between April and November 2020. We initially administered a 79-point survey to all participants; based on their responses, we used purposive sampling to identify 60 interview participants. The primary aim of the study was to examine the impact of socio-economic factors on experiences and potential stigma faced by staff during the COVID-19 pandemic. RESULTS: We surveyed 376 participants including doctors (10 %), nurses (20 %), support staff (29 %), administrators (18 %) and scientists/technicians (22 %). Of these, 126 (34 %) participants reported negative social experiences. Stigmatisation was lower among doctors compared to other professions, decreased in the second half of the study period, and was more among those living in less affluent surroundings. Interviews revealed 3 types of negative social experiences: neighbourhood tensions around restrictions of mobility, social distancing, and harassment. CONCLUSIONS: The first phase of the COVID-19 pandemic in India led to considerable negative social experiences among hospital employees, especially those lower in the socio-economic hierarchy, which was fuelled by restrictions imposed by the government and pressure on local neighbourhoods. POLICY SUMMARY: It is important to not just document and count stigma experiences during global pandemics, but also to examine sociologically the conditions under which and the processes through which stigma happens.

Outcomes of COVID-19 and risk factors in patients with cancer.

Patients with cancer are at higher risk for adverse coronavirus disease 2019 (COVID-19) outcomes. Here, we studied 1,253 patients with cancer, who were diagnosed with severe acute respiratory syndrome coronavirus 2 at a tertiary referral cancer center in India. Most patients had mild disease; in our settings, recent cancer therapies did not impact COVID-19 outcomes. Advancing age, smoking history, concurrent comorbidities and palliative intent of treatment were independently associated with severe COVID-19 or death. Thus, our study provides useful insights into cancer management during the COVID-19 pandemic.

Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach.

The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary crackle (PC) analysed by fast Fourier transform and wavelet not only give the details of number, nature, and time of occurrence of the frequency components but also throw light onto the embedded air flow during breathing. Fractal dimension, phase portrait, and sample entropy help in divulging the greater randomness, antipersistent nature, and complexity of airflow dynamics in BB than PC. The potential of principal component analysis through the spectral feature extraction categorises BB, fine crackles, and coarse crackles. The phase portrait feature-based supervised classification proves to be better compared to the unsupervised machine learning technique. The present work elucidates phase portrait features as a better choice of classification, as it takes into consideration the temporal correlation between the data points of the time series signal, and thereby suggesting a novel surrogate method for the diagnosis in pulmonology. The study suggests the possible application of the techniques in the auscultation of coronavirus disease 2019 seriously affecting the respiratory system.