In a mass casualty situation due to chemical, biological, radiological, or nuclear (CBRN) event, triage is absolutely required for categorizing the casualties in accordance with medical care priorities. Dealing with a CBRN event always starts at the local level. Even before the detection and analysis of agents can be undertaken, zoning, triage, decontamination, and treatment should be initiated promptly. While applying the triage system, the available medical resources and maximal utilization of medical assets should be taken into consideration by experienced triage officers who are most familiar with the natural course of the injury presented and have detailed information on medical assets. There are several triage systems that can be applied to CBRN casualties. With no one standardized system globally or nationally available, it is important for deploying a triage and decontamination system which is easy to follow and flexible to the available medical resources, casualty number, and severity of injury.

Literature is lacking on the spectrum of symptoms of long COVID-19 (defined as symptoms persisting beyond 28 days of diagnosis) and its impact on quality of life. This single-center, cross-sectional study included mild COVID-19 cases as determined by a positive real-time reverse transcription polymerase chain reaction test. Patients were contacted at least 28 days after diagnosis and were interviewed telephonically using semi-structured questionnaires for duration of symptoms, fatigue using Fatigue Severity Scale (FSS) and quality of life using the World Health Organization Quality of Life: Brief Version (WHOQOL-BREF). A total of 251 COVID-19 patients were included; of which 169 (67.3%) were males. The mean age of the patients was 35.8 years (SD = 12.5). The prevalence of long COVID-19 was 28.2% (n = 71, 95% CI: 23.0–34.2). The most common symptoms involved the musculoskeletal system (12.7%), upper respiratory tract (7.6%), and fatigue among 17 (6.8%) patients. Patients with long COVID-19 had significantly higher FSS score and lower WHOQOL-BREF score compared to the patients without long COVID-19 (<28 days).

The study presents the spatial and temporal variation of fine ambient aerosols (PM) over National Capital Region (NCR), India, during January to June 2016. The investigation includes three sampling sites, one in Delhi and two in the adjoining states of Delhi (Uttar Pradesh and Haryana), across NCR, India. The average PM concentration was highest for Delhi (128.5 ± 51.5 μg m) and lowest for Mahendragarh, Haryana (74.5 ± 28.7 μg m), during the study period. Seasonal variation was similar for all the sites with highest concentration during winter and lowest in summer. PM samples were analysed for organic compounds using gas chromatograph (GC). The concentration of three organic compound classes, n-alkanes (C11-C35), polycyclic aromatic hydrocarbons (PAHs), and phthalates, present in PM samples has been reported. Diagnostic ratios for n-alkanes demonstrated that biogenic emissions were dominant over Mahendragarh while major contributions were observed from petrogenic emissions over Delhi and Modinagar, Uttar Pradesh. Molecular diagnostic ratios were calculated to distinguish between different sources of PAHs, which revealed that the fossil fuel combustion (diesel and gasoline emissions), traffic emissions, and biomass burning are the major source contributors. Health risk associated with human exposure of phthalates and PAHs was also assessed as daily intake (DI, ng kg day) and lung cancer risk, respectively. Backward trajectory analysis explained the local, regional, and long-range transport routes of PM for all sites. Principal component analysis (PCA) results summarized that the vehicular emissions, biomass burning, and plastic burning were the major sources of the PAHs and phthalates over the sampling sites.