The Impact of Literacy on COVID-19 Pandemic: An Empirical Analysis on India

The study examines how literacy affects COVID-19. It has considered state-level recovery to the total tested ratio and fully vaccinated-to-population ratio as two dependent variables;on the other hand, the state-wise literacy ratio and population density have been considered as independent variables. The success against COVID-19 in India has been achieved through digital retaliation along with the spread of information regarding social distancing, vaccinations, curfews, and lockdowns. The results reveal that the literacy rate impacts both the dependency ratios in a statistically significant and positive way. Quantification of the impact of literacy on COVID-19 is the most novel and unique. [ FROM AUTHOR] Copyright of Journal of Asian & African Studies (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Risk Factors for Candidemia in Intensive Care Unit: A Matched Case Control Study from North-Western India.

Candidemia is one of the significant causes of mortality amongst critically ill patients in Intensive Care Units (ICUs). This study aimed to assess the incidence, risk factors and antifungal susceptibility pattern in candidemia cases admitted in ICU in a tertiary care hospital in Jaipur, Rajasthan from June 2021 to November 2021. Candida species isolated from blood culture of clinically suspected patients of sepsis were defined as candidemia cases. Blood culture and antifungal susceptibility testing were performed as per standard laboratory protocol. Analyses of risk factors was done between candidemia cases and matched controls in a ratio of 1 : 3. Forty-six candidemic cases and 150 matched controls were included in the study. C. tropicalis was the most prevalent species (22/46; 48%) followed by C. auris (8/46; 17%) and C. albicans (7/46; 15%). Candida species showed good sensitivity to echinocandins (97%) followed by amphotericin B (87%) and voriconazole (80%). In multivariate analysis, longer stay in ICU, presence of an indwelling device, use of immunosuppressive drugs and positive SARS-CoV-2 infection were associated with increased risk of candidemia. The constant evaluation of risk factors is required as prediction of risks associated with candidemia may help to guide targeted preventive measures with reduced morbidity and mortality.

Findings of second multicentric follow-up serosurvey among Health Care Workers in government hospitals.

Background: The change in serological status of community may be used as input for guiding the public health policy. Hence, the present study was conducted to determine change in seroprevalence of COVID-19 among healthcare workers (HCWs). Methods: From the baseline multicentric study sample, a subsample was followed up, and a seroepidemiological study was conducted among them between 6 and 22 weeks after the second dose of the vaccination. Multistage population proportion to size sampling was performed for the selection of subsample of HCWs. The serosurvey was conducted using the enzyme-linked immunosorbent assay-based IgG antibody test (COVID KAVACH). Results: Follow-up serological testing was done in subsample of 1122 participants of original 3253 participants. The mean age of the participants was 34.6 (8.13) years. A total of 300 (26.7%) participants were females. The seroprevalence was 78.52, (95%CI:76-80.1). Among those who were seronegative at initial test, 708 (77.04%) were seroconverted. Those who were not seroconverted (241 (21.5%)) have longer duration from the second dose of the vaccination (93 (31.4) vs. 56 (38.4); p value < 0.001). The COVID-19 infection was significantly associated with seropositive status and being a medical staff was associated with remaining seronegative on follow-up. The higher age (≥50 years) was found to be significantly associated with seroreversion. Conclusion: Four in five HCWs had detectable antibodies. Seroepidemiological studies carry vital information to control the public health response in the course of the pandemic. The study can also further help as a platform to study the seroconversion and effect of vaccination among HCWs for newer variants of SARS-CoV-2.

Seropositivity of severe acute respiratory syndrome coronavirus 2 infection among healthcare workers of the Armed Forces medical services, India: A multicentric study.

BACKGROUND: Serosurveys provide the prevalence of infection and over time will reveal the trends. The present study was conducted to estimate the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among healthcare workers (HCWs) and to analyse various characteristics (risk factors) associated with SARS CoV-2 infection. METHODS: Eight government designated Corona virus disease -19 (COVID-19) hospitals were selected based on the hospital admission of patients with COVID-19 and the local epidemiological situation in the region. Multistage population proportion to size sampling was performed for the selection of HCWs. Serosurvey was conducted using the enzyme-linked immunosorbent assay-based IgG antibody test (COVID KAVACH). Bivariate and multiple logistic regression was performed to find out the factor/factors associated with the positive antibody test. RESULTS: Out of 3255 HCWs that participated in the study, data of 3253 were analysed. The seroprevalence was 19.7% (95% confidence interval: 18.5-21.3%). Factors associated were location, category of HCWs, male sex, previously tested positive by the molecular test, training on infection prevention and control, personal protective measures, handwashing technique, close contact with a patient confirmed with COVID-19, use of personal protective equipment and symptoms in the last 30 days. However, in multiple logistic regression, only location, category, previously tested positive by the molecular test and symptoms in the last 30 days were statistically significant. CONCLUSION: HCWs are vulnerable to SARS-CoV-2 infection. One in five HCWs had detectable antibodies. The presence of antibodies among HCWs may help in their placement and triage. HCWs may be advised to report early in case of any symptoms of COVID-19. Preventive measures may be targeted based on the location, with particular emphasis on ancillary workers and nurses.