Crimean Congo hemorrhagic fever (CCHF) is one of the deadly hemorrhagic fevers that are endemic in Africa, Asia, Eastern Europe, and the Middle East. It is a tick-borne zoonotic viral disease caused by CCHF virus of genus Nairovirus (family Bunyaviridae). CCHF not only forms an important public health threat but has a significant effect on the healthcare personnel, especially in resource-poor countries. India was always a potentially endemic area until an outbreak hit parts of Gujarat, taking four lives including the treating medical team. The current review is an attempt to summarize the updated knowledge on the disease particularly in modern era, with special emphasis on nosocomial infections. The knowledge about the disease may help answer certain questions regarding entry of virus in India and future threat to community.

The pulmonary findings are similar to those described in past pandemics. Secondary fungal and viral infections, which have not been reported previously, were noted. Although the number of cases in this study is small, the findings reinforce the notion that changes in extrapulmonary organs are attributable to multiorgan dysfunction syndrome rather than a viral cytopathic effect, and that there is no transplacental transmission of virus.

Background: Long COVID or long-term complication after COVID-19 has the ability to affect health and quality of life. Knowledge about the burden and predictors could aid in their prevention and management. Most of the studies are from high-income countries and focus on severe cases. We did this study to estimate the prevalence and identify the characteristics and predictors of Long COVID among our patients. Methodology: We recruited adult (≥18 years) patients who were diagnosed as Reverse Transcription Polymerase Chain Reaction (RTPCR) confirmed SARS-COV-2 infection and were either hospitalized or tested on outpatient basis. Eligible participants were followed up telephonically after four weeks of diagnosis of SARS-COV-2 infection to collect data on sociodemographic, clinical history, vaccination history, Cycle threshold (Ct) values during diagnosis and other variables. Characteristic of Long COVID were elicited, and multivariable logistic regression was done to find the predictors of Long COVID. Results: We have analyzed 487 individual data with a median follow-up of 44 days (Inter quartile range (IQR): 39,47). Overall, Long COVID was reported by 29.2% (95% Confidence interval (CI): 25.3%,33.4%) participants. Prevalence of Long COVID among patients with mild/moderate disease (n = 415) was 23.4% (95% CI: 19.5%,27.7%) as compared to 62.5% (95% CI: 50.7%,73%) in severe/critical cases(n=72). The most common Long COVID symptom was fatigue (64.8%) followed by cough (32.4%). Statistically significant predictors of Long COVID were - Pre-existing medical conditions (Adjusted Odds ratio (aOR)=2.00, 95% CI: 1.16,3.44), having a more significant number of symptoms during acute phase of COVID-19 disease (aOR=11.24, 95% CI: 4.00,31.51), two doses of COVID-19 vaccination (aOR=2.32, 95% CI: 1.17,4.58), the severity of illness (aOR=5.71, 95% CI: 3.00,10.89) and being admitted to hospital (Odds ratio (OR)=3.89, 95% CI: 2.49,6.08). Conclusion: A considerable proportion of COVID-19 cases reported Long COVID symptoms. More research is needed in Long COVID to objectively assess the symptoms and find the biological and radiological markers.

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The present study was carried out between July 2003 and December 2005 in PGIMER, Chandigarh, India and aimed to compare IgM capture ELISA and nested RT-PCR for the diagnosis of Japanese encephalitis (JE). The samples collected were cerebrospinal fluid and blood from 40 febrile patients with encephalitis (n=40, group I) and blood samples from febrile patients without encephalitis residing in JE endemic areas (n=45, group II). Overall, in CSF samples JE specific RNA was detected in 9/40 (22.5%), while 7/28 (25%) patients showed the presence of specific IgM antibodies. Only 28 CSF samples could be subjected to both RT-PCR and IgM and, among these, 13 cases were found to be confirmed JE based on IgM and/or RT-PCR positivity. Among the confirmed cases, 6 (6/13, 46.5%) could be detected by RT-PCR alone, 4 (4/13, 30.7%) by IgM capture ELISA and 3 (3/13, 23.1%) patients were positive by both the methods. All the RT-PCR positive cases had presented within 5 d of onset of illness. The serum samples of only 16 patients in group I could be tested for IgM antibodies and 5 (31.25%) were found to be positive, while in group II, 11.1% (5/45) positivity was observed. JE specific RNA could not be detected in serum samples of either group of patients. This study highlights the need for carrying out RT-PCR in CSF samples, compared to IgM antibody detection, for the early detection of JEV.

There are worldwide urgency, efforts, and uncertainties for the discovery of a vaccine against SARS CoV2. If successful, it will take its own time till useful for the humans. Till the specific vaccine is available, there are evidences for repurposing existing other vaccines. It is observed that countries having a routine BCG vaccination programme, have shown to have lower incidence of COVID-19, suggesting some protective mechanisms of BCG against COVID-19 in such countries. In countries like India despite vast population density and other adversities, and growing numbers of COVID19 infections, the mortality rate and severity of COVID has been low in comparison to some TB non-endemic countries (like Europe and USA). In addition, there are evidences that BCG vaccination offers partial protection and survival in low-income countries where tuberculosis is prevalent. The nonspecific effects (NSEs) of immune responses induced by BCG vaccination protect against other infections seem to be due to its immunological memory eliciting lymphocytes response and trained immunity. The protective effect on other viral infection in humans are believed to be mediated by heterologous lymphocyte activation and the initiation of innate immune memory may be applicable to SARS CoV2. The BCG vaccination at birth does not have a protective effect beyond childhood against COVID-19. In adults, there might be other factors dampening the virulence and pathogenicity of COVID-19. In the TB endemic countries like India, with high population density, similar to BCG vaccination, the environmental Mycobacteria might be imparting some immune-protection from severity and deaths of COVID-19.

Long coronavirus disease (COVID) or postacute sequelae of coronavirus disease of 2019 (COVID‐19) is widely reported but the data of long COVID after infection with the Omicron variant is limited. This study was conducted to estimate the incidence, characteristics of symptoms, and predictors of long COVID among COVID‐19 patients diagnosed during the Omicron wave in Eastern India. The cohort of COVID‐19 patients included were adults (≥18 years) diagnosed as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction. After 28 days of diagnosis; participants were followed up with a telephonic interview to capture data on sociodemographic, clinical history, anthropometry, substance use, COVID‐19 vaccination status, acute COVID‐19 symptoms, and long COVID symptoms. The long COVID symptoms were self‐reported by the participants. Logistic regression was used to determine the predictors of long COVID. The median follow‐up of participants was 73 days (Interquartile range; 67–83). The final analysis had 524 participants' data; among them 8.2% (95% Confidence Interval [CI]: 6%–10.9%) self‐reported long COVID symptoms. Fatigue (34.9%) was the most common reported symptom followed by cough (27.9%). In multivariable logistic regression only two predictors were statistically significant—number of acute COVID‐19 symptoms ≥ five (Adjusted odds ratio (aOR) = 2.95, 95% CI: 1.30–6.71) and past history of COVID‐19 (aOR = 2.66, 95% CI: 1.14–6.22). The proportion of self‐reported long COVID is considerably low among COVID‐19 patients diagnosed during the Omicron wave in Eastern India when compared with estimates during Delta wave in the same setting.