Severe Acute Respiratory Illness Research Articles

Genomic characterization of Influenza A (H1N1)pdm09 and SARS-CoV-2 from Influenza Like Illness (ILI) and Severe Acute Respiratory Illness (SARI) cases reported between July–December, 2022

Influenza Like Illness (ILI) and Severe Acute Respiratory Infection (SARI) cases are more prone to Influenza and SARS-CoV-2 infection. Accordingly, we genetically characterized Influenza and SARS-CoV-2 in 633 ILI and SARI cases by rRT-PCR and WGS. ILI and SARI cases showed H1N1pdm09 prevalence of 20.9% and 23.2% respectively. 135 (21.3%) H1N1pdm09 and 23 (3.6%) H3N2 and 5 coinfection (0.78%) of H1N1pdm09 and SARS-CoV-2 were detected. Phylogenetic analysis revealed H1N1pdm09 resemblance to clade 6B.1A.5a.2 and their genetic relatedness to InfA/Perth/34/2020, InfA/Victoria/88/2020 and InfA/Victoria/2570/2019. Pan 24 HA and 26 NA nonsynonymous mutations and novel HA (G6D, Y7F, Y78H, P212L, G339R, T508K and S523T) and NA (S229A) mutations were observed. S74R, N129D, N156K, S162N, K163Q and S164T alter HA Cb and Sa antibody recognizing site. Similarly, M19T, V13T substitution and multiple mutations in transmembrane and NA head domain drive antigenic drift. SARS-CoV-2 strains genetically characterized to Omicron BA.2.75 lineage containing thirty nonsynonymous spike mutations exhibited enhanced virulence and transmission rates. Coinfection although detected very minimal, the mutational changes in H1N1pdm09 and SARS-CoV-2 virus infected individuals could alter antibody receptor binding sites, allowing the viruses to escape immune response resulting in better adaptability and transmission. Thus continuous genomic surveillance is required to tackle any future outbreak.

Incidence of influenza virus-associated Severe Acute Respiratory Infections in three districts in 2018 at Gharbia governorate, Egypt.

Influenza remains a contributor to substantial global morbidity and mortality. There is very limited data on disease burden in Egypt. The purpose of this study was to estimate the incidence of influenza-associated Severe Acute Respiratory Illness (SARI) in three districts in Gharbia governorate in 2018. This study Followed the World Health Organization (WHO) manual for estimating disease burden associated with seasonal influenza. The hospital admission database was screened for SARI patients in three districts at Gharbia governorate in 2018. A hospital admission survey (HAS) was used to define the catchment population. The incidence rate estimation was computed as the number of influenza-positive SARI cases per 100,000 population. A total of 180 SARI cases were identified in the catchment area. The median age was 23 years [IQR: 2-53], and 45% were males. Out of the total SARI cases, 33.3% influenza was confirmed by the laboratory test of RP-PCR. Influenza A(H3N2) virus predominated representing 55.0% of patients, thanA(H1N1) 26.7% and Flu-B virus 18.3%. Influenza prevailed in winter and spring; no deaths from influenza were reported. The annual incidence of influenza-associated SARIs found higher in <2 years (282 /100,000) and ≥65 years patients (215/100,000) at significant level p<0.001. The WHO Manual for estimating disease burden associated with seasonal influenza was successfully operationalized in the three districts of Gharbia governorate. It can be used in other districts. A considerable burden was associated with influenza viruses requiring hospitalization, especially among the older adult group.

Effect of titanium dioxide on fresh and mechanical properties of Mortar: A review

Nanotechnology-based engineering approaches are rapidly developing throughout the world. Modern, cutting-edge nanotechnology has proven useful in a variety of technical applications. In emerging and developed countries, increasing infrastructure needs a considerable amount of cement, which has a significantly impact on the environment and human health, resulting in greenhouse gas emissions and severe acute respiratory illnesses (asthma and silicosis, respectively). To overcome such difficulties, cement consumption in building materials must be reduced. Several novel extra materials have lately been introduced to improve the performance of mortar. Nano-titanium dioxide (NT) in cement mortar is widely used in green building construction because NT capable to the degradation of air pollution, self-cleaning, and enhancing mechanical, microstructural, and durability properties. In this paper, the effect of NT on fresh and hardened properties of cement mortar has been discussed. For the collection, screening and implementation of data for review paper PRISMA analysis and VOSviewer technique was used. Existing literature indicates that the reduction in workability 15% − 20% whereas improvement in compressive strength (CS) up to 15% and tensile strength up to 45% was noted with NT in mortar. Current research supports using NT as a cement replacement in mortar. Aside from the key findings, some identified gaps, problems, and future scope challenges have been presented in order to develop NT based mortar as a sustainable material in the building sector.

Emergence of SARS and COVID-19 and preparedness for the next emerging disease X.

Severe acute respiratory syndrome (SARS) and Coronavirus disease 2019 (COVID-19) are two human Coronavirus diseases emerging in this century, posing tremendous threats to public health and causing great loss to lives and economy. In this review, we retrospect the studies tracing the molecular evolution of SARS-CoV, and we sort out current research findings about the potential ancestor of SARS-CoV-2. Updated knowledge about SARS-CoV-2-like viruses found in wildlife, the animal susceptibility to SARS-CoV-2, as well as the interspecies transmission risk of SARS-related coronaviruses (SARSr-CoVs) are gathered here. Finally, we discuss the strategies of how to be prepared against future outbreaks of emerging or re-emerging coronaviruses.

Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking.

Background Acute respiratory disease (ARD) events are often thought to be airway-disease related, but some may be related to quantitative interstitial abnormalities (QIAs), which are subtle parenchymal abnormalities on CT scans associated with morbidity and mortality in individuals with a smoking history. Purpose To determine whether QIA progression at CT is associated with ARD and severe ARD events in individuals with a history of smoking. Materials and Methods This secondary analysis of a prospective study included individuals with a 10 pack-years or greater smoking history recruited from multiple centers between November 2007 and July 2017. QIA progression was assessed between baseline (visit 1) and 5-year follow-up (visit 2) chest CT scans. Episodes of ARD were defined as increased cough or dyspnea lasting 48 hours and requiring antibiotics or corticosteroids, whereas severe ARD episodes were those requiring an emergency room visit or hospitalization. Episodes were recorded via questionnaires completed every 3 to 6 months. Multivariable logistic regression and zero-inflated negative binomial regression models adjusted for comorbidities (eg, emphysema, small airway disease) were used to assess the association between QIA progression and episodes between visits 1 and 2 (intercurrent) and after visit 2 (subsequent). Results A total of 3972 participants (mean age at baseline, 60.7 years ± 8.6 [SD]; 2120 [53.4%] women) were included. Annual percentage QIA progression was associated with increased odds of one or more intercurrent (odds ratio [OR] = 1.29 [95% CI: 1.06, 1.56]; P = .01) and subsequent (OR = 1.26 [95% CI: 1.05, 1.52]; P = .02) severe ARD events. Participants in the highest quartile of QIA progression (≥1.2%) had more frequent intercurrent ARD (incidence rate ratio [IRR] = 1.46 [95% CI: 1.14, 1.86]; P = .003) and severe ARD (IRR = 1.79 [95% CI: 1.18, 2.73]; P = .006) events than those in the lowest quartile (≤-1.7%). Conclusion QIA progression was independently associated with higher odds of severe ARD events during and after radiographic progression, with higher frequency of intercurrent severe events in those with faster progression. Clinical trial registration no. NCT00608764 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Little in this issue.

Prevalence of Respiratory Viral Infections in Deceased Persons during the COVID-19 Pandemic Season 2021-2022: A Population-Based Observational Study.

Although the omicron variant of SARS-CoV-2 circulated intensely during the 2021-2022 season, many patients with severe acute respiratory disease tested negative for COVID-19. The aim of this study was to assess the presence of different respiratory viruses in deceased persons. The proportion of deceased persons with respiratory viral infections in the 2021-2022 season in Navarre, Spain, was estimated considering all deaths caused by confirmed COVID-19 according to the epidemiological surveillance and the results of multiplex PCR tests for respiratory viruses performed in a sample of deceased persons with a cause of death other than COVID-19. Of 3578 deaths, 324 (9.1%) were initially reported as caused by pre-mortem confirmed COVID-19. A sample of 242 persons who died by causes other than COVID-19 were tested post-mortem; 64 (26.4%) of them were positive for any respiratory virus: 11.2% for SARS-CoV-2, 5.8% for rhinovirus, 3.7% for human coronavirus, 2.5% for metapneumovirus, 1.7% for respiratory syncytial virus, 1.7% for parainfluenza, 1.2% for influenza, and less than 1% each for adenovirus and bocavirus. Combining both approaches, we estimated that 34.4% of all deceased persons during the study period had a respiratory viral infection and 19.2% had SARS-CoV-2. Only 33.3% (9/27) of SARS-CoV-2 and 5.0% (2/40) of other viruses detected post-mortem had previously been confirmed pre-mortem. In a period with very intense circulation of SARS-CoV-2 during the pandemic, other respiratory viruses were also frequently present in deceased persons. Some SARS-CoV-2 infections and most other viral infections were not diagnosed pre-mortem. Several respiratory viruses may contribute to excess mortality in winter.

Use of Sentinel Surveillance Platforms for Monitoring SARS-CoV-2 Activity: Evidence From Analysis of Kenya Influenza Sentinel Surveillance Data.

Little is known about the cocirculation of influenza and SARS-CoV-2 viruses during the COVID-19 pandemic and the use of respiratory disease sentinel surveillance platforms for monitoring SARS-CoV-2 activity in sub-Saharan Africa. We aimed to describe influenza and SARS-CoV-2 cocirculation in Kenya and how the SARS-CoV-2 data from influenza sentinel surveillance correlated with that of universal national surveillance. From April 2020 to March 2022, we enrolled 7349 patients with severe acute respiratory illness or influenza-like illness at 8 sentinel influenza surveillance sites in Kenya and collected demographic, clinical, underlying medical condition, vaccination, and exposure information, as well as respiratory specimens, from them. Respiratory specimens were tested for influenza and SARS-CoV-2 by real-time reverse transcription polymerase chain reaction. The universal national-level SARS-CoV-2 data were also obtained from the Kenya Ministry of Health. The universal national-level SARS-CoV-2 data were collected from all health facilities nationally, border entry points, and contact tracing in Kenya. Epidemic curves and Pearson r were used to describe the correlation between SARS-CoV-2 positivity in data from the 8 influenza sentinel sites in Kenya and that of the universal national SARS-CoV-2 surveillance data. A logistic regression model was used to assess the association between influenza and SARS-CoV-2 coinfection with severe clinical illness. We defined severe clinical illness as any of oxygen saturation <90%, in-hospital death, admission to intensive care unit or high dependence unit, mechanical ventilation, or a report of any danger sign (ie, inability to drink or eat, severe vomiting, grunting, stridor, or unconsciousness in children younger than 5 years) among patients with severe acute respiratory illness. Of the 7349 patients from the influenza sentinel surveillance sites, 76.3% (n=5606) were younger than 5 years. We detected any influenza (A or B) in 8.7% (629/7224), SARS-CoV-2 in 10.7% (768/7199), and coinfection in 0.9% (63/7165) of samples tested. Although the number of samples tested for SARS-CoV-2 from the sentinel surveillance was only 0.2% (60 per week vs 36,000 per week) of the number tested in the universal national surveillance, SARS-CoV-2 positivity in the sentinel surveillance data significantly correlated with that of the universal national surveillance (Pearson r=0.58; P<.001). The adjusted odds ratios (aOR) of clinical severe illness among participants with coinfection were similar to those of patients with influenza only (aOR 0.91, 95% CI 0.47-1.79) and SARS-CoV-2 only (aOR 0.92, 95% CI 0.47-1.82). Influenza substantially cocirculated with SARS-CoV-2 in Kenya. We found a significant correlation of SARS-CoV-2 positivity in the data from 8 influenza sentinel surveillance sites with that of the universal national SARS-CoV-2 surveillance data. Our findings indicate that the influenza sentinel surveillance system can be used as a sustainable platform for monitoring respiratory pathogens of pandemic potential or public health importance.

Construction and characterization of an infectious clone for human bocaparvovirus HBoV1

Human bocaparvovirus 1 (HBoV1) is one of the two parvoviruses that infect humans and cause diseases. Infection with HBoV1 in infants and young children aged 2-5 years can lead to mild or severe acute respiratory diseases, with the most severe cases posing a life-threatening risk. Similar to other parvoviruses, the HBoV1 DNA genome consists of two terminal reverse repeats (ITRs) at its ends, which are necessary for viral genome replication. However, up to now, it has remained a technical challenge to clone the entire ITRs through PCR amplification. In this study, we successfully constructed a full-length infectious clone of HBoV1, termed as pSKHBoV1, by synthesizing and cloning the terminal ITRs in a stepwise manner. After transfecting HEK293 cells with the infectious clone pSKHBoV1, we were able to reconstitute the viral replication cycle. This included the expression of key non-structural proteins, post-transcriptional modification and processing of viral RNA, viral genome replication, and potentially the production of progeny virions containing the defined DNA genome. The successful construction of the infectious clone pSKHBoV1 lays the foundation for future studies on HBoV1 replication and propagation, virus-host interaction, and the development of viral vaccines.

Epidemiology of Human Seasonal Coronaviruses Among People With Mild and Severe Acute Respiratory Illness in Blantyre, Malawi, 2011-2017.

The aim of this study was to characterize the epidemiology of human seasonal coronaviruses (HCoVs) in southern Malawi. We tested for HCoVs 229E, OC43, NL63, and HKU1 using real-time polymerase chain reaction (PCR) on upper respiratory specimens from asymptomatic controls and individuals of all ages recruited through severe acute respiratory illness (SARI) surveillance at Queen Elizabeth Central Hospital, Blantyre, and a prospective influenza-like illness (ILI) observational study between 2011 and 2017. We modeled the probability of having a positive PCR for each HCoV using negative binomial models, and calculated pathogen-attributable fractions (PAFs). Overall, 8.8% (539/6107) of specimens were positive for ≥1 HCoV. OC43 was the most frequently detected HCoV (3.1% [191/6107]). NL63 was more frequently detected in ILI patients (adjusted incidence rate ratio [aIRR], 9.60 [95% confidence interval {CI}, 3.25-28.30]), while 229E (aIRR, 8.99 [95% CI, 1.81-44.70]) was more frequent in SARI patients than asymptomatic controls. In adults, 229E and OC43 were associated with SARI (PAF, 86.5% and 89.4%, respectively), while NL63 was associated with ILI (PAF, 85.1%). The prevalence of HCoVs was similar between children with SARI and controls. All HCoVs had bimodal peaks but distinct seasonality. OC43 was the most prevalent HCoV in acute respiratory illness of all ages. Individual HCoVs had distinct seasonality that differed from temperate settings.

Impact of COVID-19 pandemic in the Brazilian maternal mortality ratio: A comparative analysis of Neural Networks Autoregression, Holt-Winters exponential smoothing, and Autoregressive Integrated Moving Average models.

The acute respiratory infection caused by severe acute respiratory syndrome coronavirus disease (COVID-19) has resulted in increased mortality among pregnant, puerperal, and neonates. Brazil has the highest number of maternal deaths and a distressing fatality rate of 7.2%, more than double the country's current mortality rate of 2.8%. This study investigates the impact of the COVID-19 pandemic on the Brazilian Maternal Mortality Ratio (BMMR) and forecasts the BMMR up to 2025. To assess the impact of the COVID-19 pandemic on the BMMR, we employed Holt-Winters, Autoregressive Integrated Moving Average (ARIMA), and Neural Networks Autoregression (NNA). We utilized a retrospective time series spanning twenty-five years (1996-2021) to forecast the BMMR under both a COVID-19 pandemic scenario and a controlled COVID-19 scenario. Brazil consistently exhibited high maternal mortality values (mean BMMR [1996-2019] = 57.99 ±6.34/100,000 live births) according to World Health Organization criteria. The country experienced its highest mortality peak in the historical BMMR series in the second quarter of 2021 (197.75/100,000 live births), representing a more than 200% increase compared to the previous period. Holt-Winter and ARIMA models demonstrated better agreement with prediction results beyond the sample data, although NNA provided a better fit to previous data. Our study revealed an increase in BMMR and its temporal correlation with COVID-19 incidence. Additionally, it showed that Holt-Winter and ARIMA models can be employed for BMMR forecasting with lower errors. This information can assist governments and public health agencies in making timely and informed decisions.

Prevalence and Characteristics of Influenza Cases From 2017 to 2019 at a Tertiary Care Teaching Hospital in Karnataka.

Introduction Influenza virus is a significant human pathogen causing severe acute respiratory illness (SARI) associated with significant mortality worldwide. The H1N1 Influenza virus that caused a pandemic in 2009 continued to cause periodic epidemics worldwide, with new variants posing significant public health problems. The present study was carried out to determine the prevalence and characteristics of influenza at a tertiary care teaching hospital. Methods From 2017 to 2019, respiratory samples from suspected cases of influenza belonging to category C received at the microbiology laboratory were transported to Manipal Centre for Virus Research, Manipal,in the cold chain for testing of influenza virus by real-time reverse transcriptase polymerase chain reaction (rRT-PCR) as per CDC guidelines. The microbiological reports were collected and evaluated. The details of patients positive for influenza were analyzed for demographic and clinical characteristics. Results During the study period, 172 samples from SARI patients were tested, out of which 44 patients were positive for the influenza virus, accounting for a prevalence of 25.58%; 84% (n=37) of the cases were infected with H1N1 influenza virus, and the other 11.36% (n=5) and 4.54% (n=2) cases yielded H1N2 and H1N3 influenza virus, respectively. Among 44 patients, 56.81% (n=25) were females and 43.18% (n=19) were males. Most of the patients, 65.9% (n=29), were between 40 and 60 years old. The predominant presenting symptoms were fever in 81.81% (n=36) patients, breathlessness in 56.8% (n=25) patients, and cough in 54.54% (n=24) patients. Twelve (27.27%) patients had acute severe respiratory distress syndrome (ARDS). A significant mortality rate of 22.72% (n=10) was noted in the study. Conclusion A significant prevalence of influenza was noted in the study at 25.58%. Along with the H1N1 Influenza virus, the new strains detected in our region were H1N2 and H1N3 influenza viruses. Regular surveillance is important in the early detection of cases, for timely management, to reduce mortality, and to take measures to prevent the spread of this important infectious disease.

Unilateral Lung Parenchymal Infiltrates with GGO &amp; Evolving Consolidation as Presenting Feature of Sporadic COVID-19 Pneumonia in Post Pandemic Era in a Patient with Acute Febrile Respiratory Illness

Sporadic COVID-19 cases will be predicted to occur in coming few years ahead as observed in previously known influenza virus related pandemics. Herd immunity due to natural infection and hybrid immunity after COVID-19 vaccination has played crucial role in waning of this pandemic. COVID-19 pneumonia has a very ‘typical’ radiological presentations, observed globally; classified as GGO and consolidations involving peripheral parts of lung, bilateral disease, predominantly pleural based areas initially and involves central portions as disease process advances. Such radiological presentations are never documented in history before this pandemic, which has helped in suspecting COVID-19 illness in cases with negative microbiological results initially and such illness were classified as SARI (severe acute respiratory illness). Cases with typical radiological features for COVID-19 with RT PCR positive results were defined as case of COVID-19 illness. Both the clinical scenarios were managed with similar protocol during hospitalization. COVID-19 case burden has significantly decreased in last one year since declaration of end of pandemic by WHO and now we are in post pandemic phase. Since beginnings of pandemic, many corona virus variants were emerged with variable infectivity, virulence, pathogenesis, mortality and morbidity. As pandemic is over, cases are rarely observed with lung involvement, COVID RT PCR testing, HRCT reporting’s in line with pandemic protocol and requirement of resources to treat these cases are less required and utilized today. In present case report, 32-year male, presented in outdoor unit with history of acute febrile respiratory illness with dry cough, high grade fever and chest tightness and chest discomfort of acute onset. HRCT thorax documented Pleural based, peripheral, unifocal or solitary opacity with predominant GGOs in right lower lobe with normal left lung. He is treated in indoor unit in line with community acquired pneumonia protocol and observed clinical worsening with four-fold raised in inflammatory markers. Oxygenation is worsened and raised IL-6, CRP and LDH has given clue to think towards COVID-19 etiology. Thorat swab for COVID-19 RT PCR is positive and managed according to protocol for COVID-19 illness. This is the only observed COVID-19 pneumonia case in last six months, in which; clinical-radiological patters were typical of pandemic illness of second wave of COVID-19 illness due to delta variant. Our case is the sporadic case reported with all clinical features of pandemic illness. We have suspected COVID-19 etiology in spite of ‘atypical unilateral lung involvement’ due to worsened clinical features and abnormally raised inflammatory markers with poor response to standard treatment protocol for community acquired pneumonia. High index of suspicion is must, and; timely interventions with use of rational treatment including remdesivir, heparin &amp; steroids combination during hospitalization has documented successful outcome. We recommend COVID-19 RT PCR testing in all community acquired cases nonresponding to standard guidelines to have timely diagnosis and treatment. Sporadic cases rare to occur, and they do occur for few years ahead of this end of pandemic due to virus variant, and we must quote ‘rare things are not rare to happen’.

Prevalence of respiratory syncytial virus infection and associated factors in children aged under five years with severe acute respiratory illness and influenza-like illness in Ethiopia

ObjectivesAcute respiratory infections because of respiratory syncytial viruses (RSVs) are among the major leading causes of morbidity and mortality in children worldwide. RSV prevalence and its contributing factors among children aged under 5 years in Ethiopia are not well studied. To assess the prevalence and associated factors of RSV infection in children aged under 5 years using influenza sentinel surveillance sites in Ethiopia. MethodsA cross-sectional study design was used utilizing influenza-like illness/sever acute respiratory illness surveillance data from January 2021 to December 2022 at the Ethiopian Public Health Institute. ResultsIn total, 2234 cases were included, with an overall RSV positivity rate of 16.2%. The RSV positivity rate was high in children aged under 1 year (22.8%) and during fall season (24.8%). The RSV positivity rate was significantly associated with ages under 1 year (adjusted odds ratio [AOR] 2.8, 95% confidence interval [CI]: 1.89-4.15) and 1-2 years (AOR 1.9, 95% CI: 1.26-2.73) and the fall season (AOR 1.67, 95% CI: 1.17-2.38). ConclusionThe study revealed that a considerably high RSV positivity rate was detected in children aged under 5 years. The age of children and season have a significant association with RSV positivity rate. Further studies of RSV viral genotype, clinical characteristics, and disease outcome need to be conducted for a better understanding of the virus and disease outcome.

Decreased influenza activity during the COVID-19 pandemic in Ghana, 2020.

The COVID-19 pandemic had a significant effect on influenza activity globally. In this study, we analyzed trends of influenza activity in 2020 during the COVID-19 pandemic in Ghana. This was a cross-sectional study using active prospective influenza surveillance data from 29 sentinel sites. At the sentinel sites, we enrolled patients presenting with symptoms based on the WHO case definition for influenza-like illness (ILI) and severe acute respiratory illness (SARI). Oro and nasopharyngeal swabs were collected from patients and tested for the presence of influenza viruses using specific primers and probes described by the US-CDC. The percentage of positivity for influenza between 2017-2019 and 2021 was compared to 2020. Using the test for proportions in STATA 17.0 we estimated the difference in influenza activities between two periods. Influenza activity occurred in a single wave during the 2020 surveillance season into 2021, September 28 2020-March 7 2021 (week 40, 2020-week 9, 2021). Influenza activity in 2020 was significantly lower compared to previous years (2017- 2019, 2021). Influenza A (H3) was more commonly detected during the early part of the year (December 30, 2019-March 8, 2020), while influenza B Victoria was more commonly detected toward the end of the year (September 28-December 28). In Ghana, adherence to the community mitigation strategies introduced to reduce transmission of SARS-CoV-2, which affected the transmission of other infectious diseases, may have also impacted the transmission of influenza. To the best of our knowledge, this is the first study in Ghana to describe the effect of the COVID-19 pandemic on influenza activity. The continuation and strict adherence to the non-pharmaceutical interventions at the community level can help reduce influenza transmission in subsequent seasons.

Challenges and opportunities for online education of veterinary sciences in Kazakhstan

The Severe Acute Respiratory Syndrome Coronavirus Infectious Disease 2019 (SARS-COVID-19) pandemic has dramatically improved the attitude that society has toward educational opportunities that are administered online. In many cases, digital platforms were adapted and utilized without formal evaluation of the needs, constraints, and opportunities associated with their use. Here, the eight historical faculties of veterinary sciences of Kazakhstan were surveyed to gather data on the use of online technology for the discipline in the country and the limitations, opportunities, and challenges associated with its use. Results show that technological resources, institutional support, and faculty and instructors' attitudes are highly favorable for the implementation of online education programs consistently throughout the country. In contrast, students' motivations and skills are perceived as variable, although generally favorable, at different locations. The results here provide insights into the challenges and opportunities associated with using online technology for instruction in veterinary sciences in Kazakhstan, which will help create the foundations for implementing this type of program in the country and region.

In silico prediction of preventive activities of bioactive hazelnut peptides against COVID‐19 and Monkeypox 2022

AbstractThe coronavirus 2 (SARS‐CoV‐2), a positive‐sense RNA virus that causes severe acute respiratory illness, is the cause of Coronavirus Disease 2019 (COVID‐19) and Monkeypox is a zoonotic viral disease caused by a double‐strand enveloped DNA virus, a member of the Poxviridae family under the umbrella of the Orthopoxvirus genus. These viruses have harmed global health, societal stability, and global economy prompting the development of new therapeutic options. The purpose of this study was to analyze the potency of hazelnut‐derived bioactive peptides for usage in preventive measures against SARS‐CoV‐2 and Monkeypox infections. Since SARS‐CoV‐2 entry into the host cell takes place through angiotensin‐converting enzyme (ACE) receptors, an in silico attempt was made here to analyze the previously characterized ACE‐inhibitory hazelnut peptides for their anti‐COVID potential. First of all, peptide sequences with PeptideRanker values &gt;0.5 were determined, where 43 of 256 hazelnut peptides met this condition. BIOPEP tools were used to calculate their ACE‐inhibitory characteristics. VPHW and DENPRHF demonstrated the strongest ACE‐inhibitory activity based on BIOPEP analysis. The binding potentials of VPHW (p &lt; 0.001) and DENPRHF (p &lt; 0.001) peptides to ACE were statistically significant based on PepSite2 analysis. The hazelnut‐derived peptides were docked with ACE, spike proteins, SARS‐CoV‐2 proteases, host cell receptors, and Monkeypox 2022 membrane proteins using HPEPDOCK and CABS‐dock. The in silico findings pointed out potential inhibition of SARS‐CoV‐2 main protease in the host cell and Monkeypox 2022 membrane protein and demonstration of multiple bioactivities.

SARS-CoV-2 co-detection with influenza and human respiratory syncytial virus in Ethiopia: Findings from the severe acute respiratory illness (SARI) and influenza-like illness (ILI) sentinel surveillance, January 01, 2021, to June 30, 2022.

SARS-CoV-2 co-infection with the influenza virus or human respiratory syncytial virus (RSV) may complicate its progress and clinical outcomes. However, data on the co-detection of SARS-CoV-2 with other respiratory viruses are limited in Ethiopia and other parts of Africa to inform evidence-based response and decision-making. We analyzed 4,989 patients' data captured from the national severe acute respiratory illness (SARI) and influenza-like illness (ILI) sentinel surveillance sites over 18 months period from January 01, 2021, to June 30, 2022. Laboratory specimens were collected from the patients and tested for viral respiratory pathogens by real-time, reverse transcription polymerase chain reaction (RT-PCR) at the national influenza center. The median age of the patients was 14 years (IQR: 1-35 years), with a slight preponderance of them being at the age of 15 to less than 50 years. SARS-CoV-2 was detected among 459 (9.2%, 95% CI: 8.4-10.0) patients, and 64 (1.3%, 95% CI: 1.0-1.6) of SARS-CoV-2 were co-detected either with Influenza virus (54.7%) or RSV (32.8%) and 12.5% were detected with both of the viruses. A substantial proportion (54.7%) of SARS-CoV-2 co-detection with other respiratory viruses was identified among patients in the age group from 15 to less than 50 years. The multivariable analysis found that the odds of SARS-CoV-2 co-detection was higher among individuals with the age category of 20 to 39 years as compared to those less than 20 years old (AOR: 1.98, 95%CI:1.15-3.42) while the odds of SARS-CoV-2 co-detection was lower among cases from other regions of the country as compared to those from Addis Ababa (AOR:0.16 95%CI:0.07-0.34). Although the SARS-CoV-2 co-detection with other respiratory viral pathogens was minimal, the findings of this study underscore that it is critical to continuously monitor the co-infections to reduce transmission and improve patient outcomes, particularly among the youth and patients with ILI.

Label-free electrochemical immunosensor employing new redox probes/porous organic polymers/graphene oxide nanocomposite towards multiplex detection of three SARS-COV2-induced storming proteins for severe COVID-19 diagnosis

Since an outbreak of severe acute respiratory disease caused by coronavirus 2 (SARS-CoV-2) in the province of Wuhan, China, coronavirus disease 2019 (COVID-19) has tremendously evolved into a global pandemic. COVID-19 causing serious failures in organ functions is found to be involved in many groups or kinds of “cytokine storm effect” protein biomarkers resulting from the human immunological responses to the virus. The in-body abnormalities and clinical features relevant to COVID-19 exhibit a wide range and it is difficult to forecast the severity of infection in patients. Consequently, the development of a fast and highly accurate method for screening, diagnosis, monitoring, rapid identification, and isolation of COVID-19-infected patients, and monitoring its severity is urgently needed. This work aims to develop a highly sensitive multiplex label-free electrochemical immunosensor based on a porous organic polymer (POP-AQ)/graphene oxide (GO) electrode to screen and diagnose COVID-19 severity. The screen-printed carbon electrode (SPCE) consisting of three working electrodes is modified by a new POP-AQ/GO nanocomposite to enhance its specific surface area and electrochemical reactivity. The resultant platform is functionalized with three different chitosan-encapsulated redox probes (m-cresol purple (mCP), thymol blue (TMB), and polydopamine (PDA)), followed by three different antibodies, which are employed to quantitatively detect the corresponding proteins from the immunological response. This novel platform allows for the simultaneous measurement of critical illness biomarkers (IL-6, D-dimer, and ferritin), with high sensitivities and low detection limits (LODs). The biosensor displays an excellent analytical performance with wide linear dynamic ranges of 0.005–5, 2.5−100, and 2.5−100 ng mL−1, and LODs of 0.0040, 0.844, and 0.806 ng mL−1 for IL-6, D-dimer, and ferritin, respectively. Moreover, this platform reveals high reproducibility and stability, while maintaining low instrumentation complexity, and cost-effectiveness. This proposed multiplex immunosensor has excellent potential for fast COVID-19 diagnosis and severity screening in infected patients. Additionally, its versatility suggests applicability in diagnosing other diseases and emerging pathogens.

Respiratory pathogens circulation among non-reactive sars-cov2 patients during the covid-19 pandemic in morocco

The SARS-CoV-2 pandemic has prompted the implementation of stringent measures to curb viral transmission, including mask mandates, hand hygiene practices, and social distancing. These interventions may also have a substantial impact on the prevalence of other respiratory infections, such as influenza and severe acute respiratory illness. This study aimed to assess the incidence of respiratory pathogens among SARS-CoV-2 negative patients admitted to healthcare facilities during the COVID-19 outbreak. From February to July 2021, nasopharyngeal swabs from 167 adults presenting with COVID-19 syndrome symptoms and negative SARS-CoV-2 tests were collected from seven regional sites across Morocco. Multiplexed nucleic acid testing was employed to simultaneously detect and differentiate 22 respiratory pathogens. Our findings revealed a 43% (n=72) overall prevalence of respiratory pathogens, with Human Rhinovirus (HRV) accounting for 38%, Human Coronavirus OC43 HCoV OC43) for 37%, and Human Parainfluenza3 (HPIV3) for 12%. In contrast to the decline in Influenza A/B, Respiratory Syncytial Virus (RSV) and Human Metapneumovirus (HMPV) detection, a significant increase was observed in HRV and HCoV OC43 prevalence. These observations suggest that SARS-CoV-2 prophylactic measures have significantly altered the dynamics of airborne transmission and epidemic patterns for respiratory pathogens. Our findings provide valuable insights into the impact of COVID-19 containment strategies on respiratory infection epidemiology and can inform future prevention and management strategies.

Interaction between Chronic Influenza and COVID-19: Novel Aspects of Immune System Combat

This abstract provides an overview of two highly contagious viruses - influenza viruses and the COVID-19 virus, causing severe acute respiratory illness. The paper examines common and unique characteristics of the viruses, their structure, transmission mechanisms, and pathogenesis. Special attention is given to differences in clinical manifestations, spread dynamics, and strategies to combat each of them. The consequences of epidemics and public health measures aimed at preventing virus spread are analyzed. This abstract offers a comprehensive overview of key aspects of influenza and COVID-19 virology, contributing to a contemporary understanding and fight against infectious diseases.