S econdary infections are known to complicate the clinical course of coronavirus disease . Bacterial infections are the most common secondary infections, but increasing reports of systemic fungal infections are causing concern. In the early part of the COVID-19 pandemic, <1% of secondary infections reported in COVID-19 patients were fungal (1,2). Preexisting conditions, indiscriminate use of antimicrobial and glucocorticoid drugs, and lapses in infection control practices are putative factors contributing to the emergence of systemic fungal infections in severe COVID-19 cases (3). After incidence of candidemia and invasive aspergillosis in COVID-19 patients increased (4,5), awareness of possible fungal co-infections increased among clinicians and microbiologists. One study reported invasive fungal infections in ≈6% of hospitalized COVID-19 patients (6). Occasional reports of COVID-19-associated mucormycosis (CAM) from various centers (7,8) and a series of 18 cases from a city in South India increased our concerns about CAM (9). India has a high burden of mucormycosis among patients with uncontrolled diabetes mellitus, and many severe COVID-19 patients have diabetes (8,10). India also is one of the countries worst affected by the COVID-19 pandemic. Thus, we would expect India to have many CAM cases. We conducted a nationwide multicenter study to evaluate the epidemiology and outcomes of CAM and compare the results with cases of mucormycosis unrelated to COVID-19 (non-CAM). Methods Study Design and SettingWe conducted a retrospective observational study involving 16 healthcare centers across India (Figure 1).

Introduction – An unprecedented rise in number of COVID-19 associated mucormycosis (CAM) cases has been reported in India. Myriad hyptheses are proposed for the outbreak. We recently reported uncontrolled diabetes and inappropriate steroid therapy as significant risk factors for the outbreak. However, Mucorales contamination of hospital environment was not studied. We, therefore, planned this multi-centre study across India to determine possible Mucorales contamination of hospital environment during the outbreak. Methods Eleven hospitals from four zones of India representing high to low incidence for mucormycosis cases were included in the study. Samples from a variety of equipment used by the patients and ambient air were collected during May 19, 2021 through August 25, 2021. Results None of the hospital equipment sampled was contaminated with Mucorales. However, Mucorales were isolated from 11.1% air-conditioning vents and 1.7% of patients’ used masks. Other fungi were isolated from 18% hospital equipment and surfaces, and 8.1% used masks. Mucorales grew from 21.7% indoor and 53.8% outdoor air samples. Spore counts of Mucorales in air were significantly higher in the hospitals of North and South zones compared to West and East zones ( P < 0.0001). Among Mucorales isolated from the environment Rhizopus spp. were the commonest genus. Conclusion – We found contamination of air-conditioning vents and hospital air by Mucorales. Presence of Mucorales in these areas demands regular surveillance and improvement of hospital environment, as contamination may contribute to healthcare associated mucormycosis outbreaks, especially among immunocompromised patients.

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A B S T R A C TBackground: There exist various studies on the cause and determinants of infant mortality in developing countries. However, to best of our knowledge, none of the studies have seen the effect of institutional delivery and infant's birth size on infant mortality in Bangladesh. Methods: Data for this study comes from Bangladesh Demographic and Health survey 2014, which is a nationally representative cross-sectional survey. This study uses information on 7,886 infants to analyze the effect of institutional delivery and birth size on infant mortality. Bi-variate and cox regression technique were applied for analyzing the cross-sectional data drawn from representative survey. Results: Infant mortality was significantly higher in mothers who did not deliver baby at institutions and did not take any antenatal checkups. A significant high infant mortality was found among mothers who belonged to poor wealth status than middle and rich. In addition, infants who had small and very small birth size at the time of delivery had significantly high mortality. The mortality was significantly high in male than female infants. Conclusion: Infant mortality is low among those who delivers baby at institutions, takes antenatal checkups and have higher wealth status. Infants with average birth size and female have less mortality. To reduce the infant mortality in Bangladesh, institutional delivery, antenatal care, baby birth size, child sex and wealth index are important factors. There is urgent need to focus into these factors to reduce infant mortality in the country.