RESUMEN
Objectives: To highlight and assess the impact of intervention tools used by Indian Council of Medical Research (ICMR) against COVID19 associated infodemic in the world's largest democratic country, India. Study design: It is a retrospective cross sectional study. The impact of ICMR's multi-pronged strategy to address the infodemic during pandemic has been assessed through analysis of print media reportage and social media engagements. Methods: The impact of the interventions was assessed using cloud media mappers like MediaCloud and Meltwater using keywords. The data was analysed in terms of reportage, theme of reportage. A sub-section of media reportage (Feb 2020-June 2020) was analysed in details from 4 major dailies to understand the coverage and tonality of media reports. The data on COVID 19 related tweets, posts and uploads were taken from social media platforms of Indian Council of Medical Research (ICMR) particularly twitter, instagram, facebook and youtube and estimate of pre and post pandemic changes in followers or users were collected for analysis. The data was curated and analysed using MS excel. Results: There was a surge of 3800% reportage in media during pandemic as compared to same time frame in pre-pandemic times. A surge of followers on twitter from 26,823 on Feb 2020 (before pandemic) to 3,36,098 at March 2022 (after pandemic) was observed. A drastic increase in monthly followers was observed after start of Pandemic (after Feb 2020) in comparison to before pandemic (Before Feb 2020). Similar trends were observed on other social media platforms of ICMR. Conclusions: The Communications Unit at ICMR geared up with more robust plans and designed several interventions to mitigate the infodemic which helped in evidence based decision making towards outbreak response and action. This highlights the importance of evidence based, crisp, timely and effective communication during the epidemics/pandemics to buid trust and confidence in the community.
RESUMEN
Due to immunosuppressive cancer therapies, cancer patients diagnosed with COVID-19 have a higher chance of developing severe symptoms and present a higher mortality rate in comparison to the general population. Here we show a comparative analysis of the microbiome from naso-oropharyngeal samples of breast cancer patients with respect to SARS-CoV-2 status and identified bacteria associated with symptom severity. Total DNA of naso-oropharyngeal swabs from 74 women with or without breast cancer, positive or negative for SARS-CoV-2 were PCR-amplified for 16S-rDNA V3 and V4 regions and submitted to massive parallel sequencing. Sequencing data were analyzed with QIIME2 and taxonomic identification was performed using the q2-feature-classifier QIIME2 plugin, the Greengenes Database, and amplicon sequence variants (ASV) analysis. A total of 486 different bacteria were identified. No difference was found in taxa diversity between sample groups. Cluster analysis did not group the samples concerning SARS-CoV-2 status, breast cancer diagnosis, or symptom severity. Three taxa (Pseudomonas, Moraxella, and Klebsiella,) showed to be overrepresented in women with breast cancer and positive for SARS-CoV-2 when compared to the other women groups, and five bacterial groups were associated with COVID-19 severity among breast cancer patients: Staphylococcus, Staphylococcus epidermidis, Scardovia, Parasegitibacter luogiensis, and Thermomonas. The presence of Staphylococcus in COVID-19 breast cancer patients may possibly be a consequence of nosocomial infection.