Pan-India influenza-like illness (ILI) and Severe acute respiratory infection (SARI) surveillance: epidemiological, clinical and genomic analysis.

Background: Over time, COVID-19 testing has significantly declined across the world. However, it is critical to monitor the virus through surveillance. In late 2020, WHO released interim guidance advising the use of the existing Global Influenza Surveillance and Response System (GISRS) for the integrated surveillance of influenza and SARS-CoV-2. Methods: In July 2021, we initiated a pan-India integrated surveillance for influenza and SARS-CoV-2 through the geographically representative network of Virus Research and Diagnostic Laboratories (VRDLs) across 26 hospital and laboratory sites and 70 community sites. A total of 34,260 cases of influenza-like illness (ILI) and Severe acute respiratory infection (SARI) were enrolled from 4 July 2021 to 31 October 2022. Findings: Influenza A(H3) and B/Victoria dominated during 2021 monsoon season while A(H1N1)pdm09 dominated during 2022 monsoon season. The SARS-CoV-2 "variants of concern" (VoC) Delta and Omicron predominated in 2021 and 2022, respectively. Increased proportion of SARI was seen in extremes of age: 90% cases in < 1 year; 68% in 1 to 5 years and 61% in ≥ 8 years age group. Approximately 40.7% of enrolled cases only partially fulfilled WHO ILI and SARI case definitions. Influenza- and SARS-CoV-2-infected comorbid patients had higher risks of hospitalization, ICU admission, and oxygen requirement. Interpretation: The results depicted the varying strains and transmission dynamics of influenza and SARS-CoV-2 viruses over time, thus emphasizing the need to continue and expand surveillance across countries for improved decision making. The study also describes important information related to clinical outcomes of ILI and SARI patients and highlights the need to review existing WHO ILI and SARI case definitions.

A self-reported survey on the implementation of infection prevention and control elements in Indian hospitals, part of a HAI surveillance network: Results from 23 hospitals conducting a standardized IPC assessment.

BACKGROUND: Healthcare-associated infections (HAIs) are one of the most common adverse events in patient care that account for substantial morbidity and mortality. We evaluate the existing Infection Prevention and Control (IPC) practices in hospitals participating in the nationally representative HAI Surveillance network. METHODS: This cross-sectional survey was conducted in 23 hospitals across 22 states of India from October-2015 to September-2018 in the HAI surveillance network. The World Health Organization (WHO) IPC core components assessment tool for health-care facility level (IPCAT-H) was adapted from IPC assessment tool developed by US Centers for Disease Control and Prevention (US CDC) under the Epidemiology and Laboratory Capacity (ELC) Infection Control Assessment and Response (ICAR) Program. Mann-Whitney U test was used to calculate the significant difference between scores (P < .05). RESULTS: Amongst the participating hospitals, 7 were private sectors and 16 were public health care facilities. Infection IPCAT-H average score per multimodal strategy was less than 50% for programmed IPC activities (45.7); implementation of health care workers (HCWs) immunization programme (43.5%); monitoring and evaluation component (38.30%). CONCLUSIONS: There is potential for improvement in Human Resources, Surveillance of HAIs as well as Monitoring and Evaluation components.

Health-care-associated bloodstream and urinary tract infections in a network of hospitals in India: a multicentre, hospital-based, prospective surveillance study.

BACKGROUND: Health-care-associated infections (HAIs) cause significant morbidity and mortality globally, including in low-income and middle-income countries (LMICs). Networks of hospitals implementing standardised HAI surveillance can provide valuable data on HAI burden, and identify and monitor HAI prevention gaps. Hospitals in many LMICs use HAI case definitions developed for higher-resourced settings, which require human resources and laboratory and imaging tests that are often not available. METHODS: A network of 26 tertiary-level hospitals in India was created to implement HAI surveillance and prevention activities. Existing HAI case definitions were modified to facilitate standardised, resource-appropriate surveillance across hospitals. Hospitals identified health-care-associated bloodstream infections and urinary tract infections (UTIs) and reported clinical and microbiological data to the network for analysis. FINDINGS: 26 network hospitals reported 2622 health-care-associated bloodstream infections and 737 health-care-associated UTIs from 89 intensive care units (ICUs) between May 1, 2017, and Oct 31, 2018. Central line-associated bloodstream infection rates were highest in neonatal ICUs (>20 per 1000 central line days). Catheter-associated UTI rates were highest in paediatric medical ICUs (4·5 per 1000 urinary catheter days). Klebsiella spp (24·8%) were the most frequent organism in bloodstream infections and Candida spp (29·4%) in UTIs. Carbapenem resistance was common in Gram-negative infections, occurring in 72% of bloodstream infections and 76% of UTIs caused by Klebsiella spp, 77% of bloodstream infections and 76% of UTIs caused by Acinetobacter spp, and 64% of bloodstream infections and 72% of UTIs caused by Pseudomonas spp. INTERPRETATION: The first standardised HAI surveillance network in India has succeeded in implementing locally adapted and context-appropriate protocols consistently across hospitals and has been able to identify a large number of HAIs. Network data show high HAI and antimicrobial resistance rates in tertiary hospitals, showing the importance of implementing multimodal HAI prevention and antimicrobial resistance containment strategies. FUNDING: US Centers for Disease Control and Prevention cooperative agreement with All India Institute of Medical Sciences, New Delhi. TRANSLATION: For the Hindi translation of the abstract see Supplementary Materials section.

Self-reported survey on infection prevention and control structures in healthcare facilities part of a national level healthcare associated infection surveillance network in India, 2019.

BACKGROUND: Healthcare associated infections (HAIs) are prevalent and difficult to treat worldwide. Most HAIs can be prevented by effective implementation of Infection Prevention and Control (IPC) measures. A survey was conducted to assess the existing IPC practices across a network of Indian Hospitals using the World Health Organization designed self-assessment IPC Assessment Framework (IPCAF) tool. METHODS: This was a cross sectional observation study. Thirty-two tertiary care public and private facilities, part of the existing Indian HAI surveillance network was included. Data collected was analyzed by a central team at All India Institute of Medical Sciences, New Delhi, a tertiary care hospital of India. The WHO questionnaire tool was used to understand the capacity and efforts to implement IPC practices across the network. RESULTS: The overall median score of IPCAF across the network was 620. Based on the final IPCAF score of the facilities; 13% hospitals had basic IPC practices, 28% hospitals had intermediate and 59% hospitals had advanced IPC practices. The component multimodal strategies had the broadest range of score while the component IPC guidelines had the narrowest one. CONCLUSIONS: Quality improvement training for IPC nurses and healthcare professionals are needed to be provided to health facilities.

Clinical Characterization and Genomic Analysis of Samples from COVID-19 Breakthrough Infections during the Second Wave among the Various States of India.

From March to June 2021, India experienced a deadly second wave of COVID-19, with an increased number of post-vaccination breakthrough infections reported across the country. To understand the possible reason for these breakthroughs, we collected 677 clinical samples (throat swab/nasal swabs) of individuals from 17 states/Union Territories of the country who had received two doses (n = 592) and one dose (n = 85) of vaccines and tested positive for COVID-19. These cases were telephonically interviewed and clinical data were analyzed. A total of 511 SARS-CoV-2 genomes were recovered with genome coverage of higher than 98% from both groups. Analysis of both groups determined that 86.69% (n = 443) of them belonged to the Delta variant, along with Alpha, Kappa, Delta AY.1, and Delta AY.2. The Delta variant clustered into four distinct sub-lineages. Sub-lineage I had mutations in ORF1ab A1306S, P2046L, P2287S, V2930L, T3255I, T3446A, G5063S, P5401L, and A6319V, and in N G215C; Sub-lineage II had mutations in ORF1ab P309L, A3209V, V3718A, G5063S, P5401L, and ORF7a L116F; Sub-lineage III had mutations in ORF1ab A3209V, V3718A, T3750I, G5063S, and P5401L and in spike A222V; Sub-lineage IV had mutations in ORF1ab P309L, D2980N, and F3138S and spike K77T. This study indicates that majority of the breakthrough COVID-19 clinical cases were infected with the Delta variant, and only 9.8% cases required hospitalization, while fatality was observed in only 0.4% cases. This clearly suggests that the vaccination does provide reduction in hospital admission and mortality.