Cases Of Respiratory Infection Research Articles

SARS-CoV-2 Omicron XBB infections boost cross-variant neutralizing antibodies, potentially explaining the observed delay of the JN.1 wave in some Brazilian regions

ObjectivesThe SARS-CoV-2 JN.1 lineage emerged in late 2023 and quickly replaced the XBB lineages, becoming the predominant Omicron variant worldwide in 2024. We estimate the epidemiological impact of this SARS-CoV-2 lineage replacement in Brazil and we further assessed the cross-reactive neutralizing antibody (NAb) responses in a cohort of convalescent Brazilian patients infected during 2023. MethodsWe analyzed the evolution of SARS-CoV-2 lineages and severe acute respiratory infection (SARI) cases in Brazil between July 2023 and March 2024. We evaluated the cross-reactive NAb responses to the JN.1 variant in a cohort of convalescent Brazilian patients, both before and after infection with XBB.1* lineages. ResultsJN.1 replaced XBB with similar temporal dynamics across all country regions, though its epidemiological impact varied between locations. The Southeastern, Southern, and Central-Western regions experienced a brief XBB wave around October 2023, shortly before the introduction of JN.1, without any immediate upsurge of SARI cases during viral lineage replacement. By contrast, the Northeastern and Northern regions did not experience an XBB wave in the latter half of 2023 and displayed a rapid surge in SARI cases driven by the emergence of the JN.1. We found that recent XBB infections in the Brazilian population significantly boosted cross-reactive NAb levels against JN.1. ConclusionsThe XBB wave observed in the second half of 2023 in some Brazilian states likely acted as a booster for population immunity, providing short-term protection against JN.1 infections and delaying the rise of SARI cases in certain regions of the country.

Community-acquired lower respiratory tract infection due to Serratia rubidaea: A rare and opportunistic pathogen

Abstract The genus Serratia belongs to the order enterobacterales consisting of Serratia marcescens as the most common species of clinical importance and non-S. marcescens species including Serratia fonticola, Serratia odorifera, Serratia plymuthica, Serratia liquefaciens, and Serratia rubidaea. Most of these non-S. marcescens species are usually considered as nonpathogenic and rarely reported to be associated with various clinical conditions in humans. S. rubidaea is rarely described as member of the genus Serratia which is naturally found in the environment including soil and water. S. rubidaea has been reported as human pathogen, and its isolation from clinical specimens is rare. S. rubidaea has been reported as an opportunistic pathogen affecting immunocompromised individuals. Only few case reports are available documenting clinical significance of S. rubidaea causing various invasive and life-threatening manifestations. We report four cases of community-acquired lower respiratory tract infection caused by S. rubidaea in immunocompromised patients from a tertiary care teaching institute from Uttar Pradesh, India.

The Analysis of Knowledge to the Skill of Health Cadres in Carrying Out the Early Detection of Pneumonia in Sick Children in the Working Area of Public Health Centre, Belimbing Padang City

Under-five year children death in Indonesia due to pneumonia are 32 per 1000 live birth. Data in 2018 in West Sumatra, the prevalence of ISPA was 5%, pneumonia rose to 2.5%, in the city of Padang in 2018, the number of pneumonia sufferers were 3,196 under-five year children (3.91 %). In public Health Center, Belimbing the cases of respiratory tract infection is ranked first among the ten most common diseases (53%). The aim of the research is to analyze the knowledge to the skill of cadres regarding the early detection of pneumonia in under five year children. This research design is a cross-sectional study. The population in this research were 55 respondents. Data collection used questionnaires and observation sheets. Data processing was used by editing, coding, entrying and cleaning. Univariate analysis was made in frequency distribution in percentages, and bivariate analysis used the Chi square test (CI 95%). The research results showed that there is a relationship between knowledge to health cadres’s skill, with p-value (0.004). It is hoped that cooperation will continue the program for sustainability and conduct continuous evaluation to reduce pneumonia.

Epidemiological and clinical characteristics of respiratory syncytial virus infections in children in Jiangsu Province, 2014-2023

Objective: To analyze the epidemiological and clinical characteristics of respiratory syncytial virus (RSV) infection in children in Jiangsu Province from 2014 to 2023. Methods: The acute respiratory infection cases in children aged 0-14 years were selected from outpatient/emergency or inpatient departments in 2 surveillance sentinel hospitals, respectively, in Nanjing, Suzhou and Taizhou of Jiangsu from 1 July 2014 to 31 December 2023, and RSV nucleic acid test was conducted and the intensity of the RSV infection was accessed by WHO influenza epidemiological threshold method, and case information and clinical data were collected. χ2 test was used to compare the differences between groups, and the Bonferroni method was used for pairwise comparisons between groups. Results: In 4 946 cases of acute respiratory infections, the RSV positive rate was 8.21% (406/4 946), and the age M(Q1,Q3) of the cases was 1 (0, 3) years. The RSV positive rate was 10.92% (258/2 362) during 2014-2019 and 6.06% (118/1 948) during 2019-2023, the difference was significant (χ2=31.74, P<0.001). RSV infection mainly occurred from October to March during 2014-2019, with the incidence peak in December and moderate or higher intensity. The seasonality of RSV infection was not obvious during 2019-2023, with low intensity. The RSV positive rate was highest in children in age group 0- years (17.85%, 151/846), and the positive rate declined gradually with age (χ2=184.51, P<0.001). The RSV positive rate was higher in inpatient cases (9.84%, 244/2 480) than in outpatient/emergency cases (6.57%, 162/2 466) (χ2=17.54, P<0.001). In the 155 RSV infection cases with complete clinical data, the clinical symptoms mainly included cough (99.35%, 154/155), fever (55.48%, 86/155), and shortness of breath (45.16%, 70/155). In the cases aged <6 months, the proportion of those with fever was low, but the proportion of those with shortness of breath, transferred to intensive care units, and receiving oxygen therapy were higher (all P<0.05). Children aged <6 months and those with underlying diseases were more likely to have severe RSV infection (all P<0.05). Conclusions: RSV infection in children in Jiangsu Province showed seasonal prevalence in winter from 2014 to 2019. Since 2020, the seasonal characteristics of the epidemic have changed, the epidemic period has been dispersed and the epidemic intensity has decreased. Infants <1 year old were at high risk for RSV infection, and those <6 months old and with underlying diseases might have severe infection.

Forecasting severe respiratory disease hospitalizations using machine learning algorithms

BackgroundForecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospital admissions. Hospital bed requirements for elective surgery could be better planned if it were possible to foresee upcoming peaks in severe respiratory illness admissions. Forecasting models can also guide the use of intervention strategies to decrease the spread of respiratory pathogens and thus prevent local health system overload. In this study, we explore the capability of forecasting models to predict the number of hospital admissions in Auckland, New Zealand, within a three-week time horizon. Furthermore, we evaluate probabilistic forecasts and the impact on model performance when integrating laboratory data describing the circulation of respiratory viruses.MethodsThe dataset used for this exploration results from active hospital surveillance, in which the World Health Organization Severe Acute Respiratory Infection (SARI) case definition was consistently used. This research nurse-led surveillance has been implemented in two public hospitals in Auckland and provides a systematic laboratory testing of SARI patients for nine respiratory viruses, including influenza, respiratory syncytial virus, and rhinovirus. The forecasting strategies used comprise automatic machine learning, one of the most recent generative pre-trained transformers, and established artificial neural network algorithms capable of univariate and multivariate forecasting.ResultsWe found that machine learning models compute more accurate forecasts in comparison to naïve seasonal models. Furthermore, we analyzed the impact of reducing the temporal resolution of forecasts, which decreased the model error of point forecasts and made probabilistic forecasting more reliable. An additional analysis that used the laboratory data revealed strong season-to-season variations in the incidence of respiratory viruses and how this correlates with total hospitalization cases. These variations could explain why it was not possible to improve forecasts by integrating this data.ConclusionsActive SARI surveillance and consistent data collection over time enable these data to be used to predict hospital bed utilization. These findings show the potential of machine learning as support for informing systems for proactive hospital management.

The epidemic characteristics of Mycoplasma pneumoniae infection among children in Anhui, China, 2015-2023.

The number of pediatric respiratory tract infection cases in China has significantly increased this year, and Mycoplasma pneumoniae is one of the main pathogens. This study aimed to investigate the epidemiological characteristics of M. pneumoniae in children in the Anhui region and provide evidence for the prevention and control strategies of M. pneumoniae in children in this region.

Clean and Healthy Living Behavior to Prevent Acute Respiratory Infection among Farmer's Families

Acute Respiratory Infection (ARI) cases in Indonesia and abroad are still a significant health problem. In Indonesia, ARI ranks first as a cause of death in infants and toddlers, with a mortality rate of around 20-30%. ARI can cause severe breathing difficulties, such as pneumonia, and ARI is also one of the leading causes of death in children under the age of five in developing countries. This study aims to analyze how to improve clean and healthy living behavior to prevent ARI in farmer families. The research method used was a literature review conducted through Google Scholar, PubMed, and Science Direct in the 2019-2024 range. The keywords used in the search for articles were "ARI, Respiratory Disorders," "Unhealthy Living Behavior, Reduced Working Period, Well Ventilated House," and "Farmer, Family". Researchers found ten studies that met the inclusion criteria in the review. Prevention of respiratory tract infections (URI) in farming families involves practicing healthy behaviors, such as washing hands with soap, maintaining environmental hygiene, and avoiding exposure to cigarette smoke. The articles highlight the importance of understanding knowledge and adherence to clean and healthy living behaviors (PHBS) in reducing the risk of ARI. However, therapeutic communication is also essential, through providing clear information and emotional support to change unhealthy behaviors. The article still has obstacles, such as the underutilization of sanitation clinics, which calls for a more intensive and focused therapeutic communication approach to overcome these obstacles. Factors that increase the risk of Acute Respiratory Infection (ARI) include cooking with biogas inside the house, high housing density leading to a lack of sanitation around the house, poor ventilation, heavy workload for farmers, which increases exposure to dust, smoke and toxic gases, intense smoking, lack of access or awareness of the benefits of local sanitation clinics, and lack of awareness of the importance of maintaining environmental sanitation. Nurses are expected to conduct community counseling to improve understanding of clean and healthy behavior in ARI prevention practices among farmers.

Clinical and economic assessment of using topical bacterial lysate Imudon® for the treatment and prevention of acute upper respiratory tract infections in children

Objective: pharmacoeconomic analysis of the feasibility of using topical bacterial lysate Imudon® for the treatment and prevention of acute upper respiratory tract infections in the pediatric population in comparison with other medicines belonging to the class of topical antiseptics.Material and methods. For the population calculated on the basis of Rosstat data, taking into account the Russian clinical recommendations "Acute respiratory viral infection (ARVI)" and "Acute tonsillitis and pharyngitis (acute tonsillopharyngitis)", the direct medical costs of medical care were determined. The cost of basic therapy of 1 case of acute respiratory infection (ARI) with symptoms of pharyngitis was calculated for two variants of clinical course: favorable (when ARI proceeds without complications and the patient does not need to be prescribed antibacterial drugs), and unfavorable (when confirmed bacterial infection joins and antibiotics are required). The indirect costs of child care are associated with lost gross domestic product (GDP). In estimating the GDP shortfall, it was assumed that the parent does not contribute to the country’s GDP during the entire childcare period.Results. GDP per capita for 2022 amounted to 2853.13 rubles per day. Thus, with a favorable course of the disease, indirect costs will be 19,972 rubles, and with an unfavorable course – 39,944 rubles. The total costs of the healthcare system and the state for 1 ARI patient are 32,192 rubles in case of favorable course and 71,644 rubles in case of unfavorable course. Imudon® administration allows reducing direct costs of parents for purchase of medicines for treatment of 1 ARI case by 23.6% compared to the therapeutic strategy associated with the use of local antiseptics.Conclusion. For the first time in Russian economic conditions, the use of Imudon® for the treatment and prevention of acute upper respiratory tract infections in children was evaluated. Its use from the first ARI symptoms allows refusing the use of local antiseptics, shortens the duration of the disease symptoms, and reduces the need for antibiotics, i.e. is feasibleable compared to local antiseptics.

Antibiotic Prescription Rates For Respiratory Tract Infections Treated In The Outpatient Sector Based On Routine Data From A German Health Insurance Company

Acute uncomplicated upper respiratory tract infections (RTIs) are common reasons for antibiotic prescriptions in the outpatient sector, although>90% are of viral origins and mostly self-limiting. Germany has a low antibiotic prescription rate compared to other European countries, but there are regional differences. Disease-specific quality indicators (QI) developed by the European Surveillance of Antimicrobial Consumption Network (ESAC-Net) address the prescription rates (target <20%) and choice of antibiotic (target>80%) in a general practitioner population. The aim of this analysis was to operationalise the ESAC-Net-QI using secondary data from a health insurance company at the level of diseases and healthcare facilities, as well as to analyse areas for improvement. The underlying database comprises the panel physician billing, hospital and prescription data in accordance with German law (§§ 295, 300 and 301 SGB V) of the Barmer health insurance company for the year 2022. Categorical features are presented as frequency and percentage. Maximum specificity was aimed, hence potentially risky disease courses were excluded. The overall RTI prescription rate of antibiotics was 25% in 2022 before applying inclusion and exclusion criteria (1,197,568/4,720,786). After applying the algorithm, the prescription rate for all RTI cases dropped to 6% (80,786/1,365,646). When specific RTI indications are considered, 35% (13,465/38,913) of acute bronchitis and acute sinusitis cases (4,971/14,051) received an antibiotic prescription each. At the facility level, 38% of practices (1,396/3,705) treating acute bronchitis and 41% of practices (539/1,300) treating acute sinusitis achieved the target of<20% antibiotic prescriptions. Only 29% of all RTI cases with antibiotic prescriptions (23,733/80,786) received a first-choice antibiotic. Our analysis indicates that the ESAC-Net-QI for RTIs can be calculated at case and facility levels using routine health insurance data. For specific RTIs, there were indications of improvement potential in the frequency and selection of prescribed antibiotics.

Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors.

This study uses artificial neural networks (ANNs) to examine the intricate relationship between air pollutants, meteorological factors, and respiratory disorders. The study investigates the correlation between hospital admissions for respiratory diseases and the levels of PM10 and SO2 pollutants, as well as local meteorological conditions, using data from 2017 to 2019. The objective of this study is to clarify the impact of air pollution on the well-being of the general population, specifically focusing on respiratory ailments. An ANN called a multilayer perceptron (MLP) was used. The network was trained using the Levenberg-Marquardt (LM) backpropagation algorithm. The data revealed a substantial increase in hospital admissions for upper respiratory tract diseases, amounting to a total of 11,746 cases. There were clear seasonal fluctuations, with fall having the highest number of cases of bronchitis (N = 181), sinusitis (N = 83), and upper respiratory infections (N = 194). The study also found demographic differences, with females and people aged 18 to 65years having greater admission rates. The performance of the ANN model, measured using R2 values, demonstrated a high level of predictive accuracy. Specifically, the R2 value was 0.91675 during training, 0.99182 during testing, and 0.95287 for validating the prediction of asthma. The comparative analysis revealed that the ANN-MLP model provided the most optimal result. The results emphasize the effectiveness of ANNs in representing the complex relationships between air quality, climatic conditions, and respiratory health. The results offer crucial insights for formulating focused healthcare policies and treatments to alleviate the detrimental impact of air pollution and meteorological factors.

Epidemiological characteristics of human respiratory syncytial virus among acute respiratory infection cases in 16 provinces of China from 2009 to 2023

Objective: To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023. Methods: The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed. Results: A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M (Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant (P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age (P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion: Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Alterations of pathogen transmission patterns and attenuated immune stimulation might be the cause of increased adult respiratory infections cases in 2023, results from a multi-center study in mainland China

BackgroundSeveral respiratory infections outbreaks have been observed in mainland China after reduction of non-pharmaceutical interventions. Other countries have seen increases in respiratory infections outside typical seasons post-COVID-19, warranting investigation into underlying causes. MethodsWe established monitoring networks for suspected respiratory infection in 14 tertiary hospitals nationwide. PCR for SARS-CoV-2, influenza A and B were performed on 3708 respiratory specimens and deep sequencing were conducted to identify co-infections or newly emerging microbes in 2023. Viral evolutionary analysis was completed. We retrospectively detected serum antibody level for various respiratory pathogens from 4324 adults without respiratory infections over 7 years to observe its dynamic curves. FindingsSARS-CoV-2 and influenza A were the main pathogens during outbreaks in 2023, bacterial-virus and bacterial-bacterial co-infections were most detected, but community co-infections didn't significantly increase pneumonia incidence. Different SARS-CoV-2 and influenza variants were present in different outbreaks, and no novel pathogens were found. The epidemiological patterns of influenza A, COVID-19 and etc. were altered, exhibiting characteristics of being "staggered" compared to most global regions, and potentially led to "overlapping prevalence". Binding antibody testing showed regular fluctuation, without significant decrease against common respiratory pathogens in adults. Influenza A antibody stimulation was attenuated during the 2023 outbreak. Conclusions"Misaligned" alteration in seasonal respiratory disease patterns possibly caused combined epidemics, leading to cases spike in China, 2023. In adults, antibody levels didn't show significant decline, but reduced immune response to influenza during 2020–2023 emphasizes the need for consistent vaccination during pandemics.

Epidemiological study of respiratory syncytial virus infection in adults during the pandemic of COVID-19

IntroductionWhile respiratory syncytial virus (RSV) is one of the most common pathogens in adults admitted to the ICU due to respiratory diseases, no reports regarding the occurrence rate of RSV infections in adults in Japan during the COVID-19 pandemic exist. Patients and methodsWe conducted this retrospective study to examine the exact occurrence rate of RSV infections in adults. We reviewed all patients (≥18 years) with any respiratory symptoms who received quantitative polymerase chain reaction (PCR) using nasopharyngeal samples for respiratory viruses by GeneLEAD at the Aichi Medical University Hospital between November 2022 and November 2023. ResultsA total of 541 adult patients who underwent PCR test were enrolled in this study. RSV was identified in 18 cases (3.3 %); 8 (1.5 %) upper and 10 (1.8 %) lower respiratory tract infections. Influenza A and SARS-CoV-2 were found in 10 (1.8 %) and 61 (11.3 %), respectively. Patients with RSV infections and COVID-19 had more comorbidities than those with Influenza virus infections.As for RSV-associated with lower respiratory tract infection cases, 10 developed acute respiratory failure, resulting in 1 fatal case due to pneumonia and 1 died of septic shock due to ileus. The 30-, 90-day mortality rates were 1 (6 %) and 2 (11 %) respectively. ConclusionAbout 3 % of adults had RSV infections during the COVID-19 pandemic. The outcomes of RSV infections in adults were similar to those by COVID-19. Those with comorbidities should have a preventive method against RSV infections, the same as for COVID-19.

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.

Assessment of Medical Test Overuse and Its Impact on Pediatric Emergency Department Outcomes in Upper Respiratory Tract Infections in a University Hospital in Lithuania.

Medical overuse poses potential risks to patients and contributes to increasing healthcare costs, pediatric emergency departments (PED) in particular. Often, upper respiratory tract infection (URTI) cases are viral-induced and self-limiting, and they do not require specific investigations or treatment. We conducted a retrospective study from 1 December 2021 to 31 January 2022, thereby aiming to identify the common tests and factors influencing specific diagnostic and treatment decisions for URTI in PED. In total, 307 (74.9%) URTI cases underwent complete blood count (CBC) tests, 312 (76.1%) were subjected to C-reactive protein (CRP) tests, and 110 (26.8%) received urinalysis tests. Patients with a longer duration of fever and a physician's suspicion of bacterial infection were more likely to receive CBC, CRP, and/or urinalysis tests (p < 0.05). Moreover, 75.1% of the cases were classified as viral URTIs, 9.8% were bacterial URTIs, and 15.1% were unspecified. Notably, 86 (20.1%) children received antibiotics and antibiotic prescription correlated with age, tonsillitis diagnosis, CRP values higher than 30 mg/L, and a CBC of p < 0.05. Patients triaged in the second or third categories were three times more likely to be observed for 24 h compared to patients with URTI and the fourth triage category (p < 0.05). This study highlights the need for interventions to improve the appropriateness of emergency service utilization, thereby emphasizing the importance of judicious decision making in managing pediatric URTIs.

Exploring the effect of clinical case definitions on influenza vaccine effectiveness estimation at primary care level: Results from the end-of-season 2022–23 VEBIS multicentre study in Europe

BackgroundWithin influenza vaccine effectiveness (VE) studies at primary care level with a laboratory-confirmed outcome, clinical case definitions for recruitment of patients can vary. We used the 2022–23 VEBIS primary care European multicentre study end-of-season data to evaluate whether the clinical case definition affected IVE estimates. MethodsWe estimated VE using a multicentre test-negative case-control design. We measured VE against any influenza and influenza (sub)types, by age group (0–14, 15–64, ≥65 years) and by influenza vaccine target group, using logistic regression. We estimated IVE among patients meeting the European Union (EU) acute respiratory infection (ARI) case definition and among those meeting the EU influenza-like illness (ILI) case definition, including only sites providing information on specific symptoms and recruiting patients using an ARI case definition (as the EU ILI case definition is a subset of the EU ARI one). ResultsWe included 24 319 patients meeting the EU ARI case definition, of whom 21 804 patients (90 %) meet the EU ILI case definition, for the overall pooled VE analysis against any influenza. The overall and influenza (sub)type-specific VE varied by ≤2 % between EU ILI and EU ARI populations. DiscussionAmong all analyses, we found similar VE estimates between the EU ILI and EU ARI populations, with few (10%) additional non-ILI ARI patients recruited. These results indicate that VE in the 2022–23 influenza season was not affected by use of a different clinical case definition for recruitment, although we recommend investigating whether this holds true for next seasons.

Relationship Of The Level Of Mother's Knowledge And Efforts To Prevent Upper Respiratory Tract Infectious Diseases In Children At Nuhon Health Center

Acute Respiratory Infection is an acute infectious disease that attacks one or more parts of the respiratory tract from the nose (upper tract) to the alveoli (lower tract). The main transmission of upper respiratory tract infections is through droplets that come out of the sufferer's nose/mouth when coughing or sneezing which contain bacteria. Some cases of upper respiratory tract infections can cause extraordinary events with high mortality and morbidity rates, causing a public health emergency and becoming a national problem. This study used an analytical design with the aim of identifying the relationship between independent variables, namely maternal knowledge and prevention of the incidence of upper respiratory tract infections at the Nuhon Community Health Center. The sample used was 74 mothers. The results of the research found that 62 respondents (83.8%) had poor knowledge and 12 people had good knowledge (16.2%), it was found that 64 respondents (16.2%) were found. 86.5%) did it incorrectly and 10 people did it correctly (13.5%). The research conclusions show that from the test results of respondents and the incidence of Upper Respiratory Tract Infections , there is a relationship between overall knowledge and prevention efforts against Upper Respiratory Tract Infections.

Incidence of post-COVID psychiatric disorders according to the periods of SARS-CoV-2 variant dominance: The LIFE study

This retrospective cohort study examined the incidence of post-COVID psychiatric disorders in older adults according to hospitalization status and SARS-CoV-2 variant period in Japan. Claims data, COVID-19 case-related information, and vaccination records were obtained from three Japanese municipalities. We identified individuals aged ≥65 years who had COVID-19 or other respiratory tract infection (RTI) between March 2021 and December 2022. Participants were categorized into non-hospitalized and hospitalized patients, and the study period was divided into the Alpha (March to May 2021), Delta (June to December 2021), Omicron BA.1/BA.2 (January to June 2022), and Omicron BA.5 (July to December 2022) periods. Modified Poisson regression analyses were performed to estimate the incidence rate ratios (IRRs) for the occurrence of psychiatric disorders (organic mental disorders, psychotic disorders, mood disorders, anxiety disorders, and insomnia) three months after COVID-19 (reference: other RTI). For overall psychiatric disorders, we analyzed 19,489 non-hospitalized patients (COVID-19: 6,728, Other RTI: 12,761) and 2925 hospitalized patients (COVID-19: 1,036, Other RTI: 1889). When compared with other RTI cases, COVID-19 cases had significantly lower IRRs for overall psychiatric disorders in both non-hospitalized (IRR: 0.59, P < 0.001) and hospitalized cases (IRR: 0. 83, P = 0.045) during the Omicron BA.1/BA.2 period, but only in non-hospitalized cases (IRR: 0.45, P < 0.001) during the Omicron BA.5 period. The incidences of the individual post-COVID psychiatric disorders varied according to disorder type, hospitalization status, and SARS-CoV-2 variant period. These findings provide a foundation for further research to explore these variations and improve the provision of psychiatric care in future epidemics.

Predictors of severity and prolonged hospital stay of viral acute respiratory infections (ARI) among children under five years in Burkina Faso, 2016–2019

BackgroundViruses are the leading etiology of acute respiratory infections (ARI) in children. However, there is limited knowledge on drivers of severe acute respiratory infection (SARI) cases involving viruses. We aimed to identify factors associated with severity and prolonged hospitalization of viral SARI among children < 5 years in Burkina Faso.MethodsData were collected from four SARI sentinel surveillance sites during October 2016 through April 2019. A SARI case was a child < 5 years with an acute respiratory infection with history of fever or measured fever ≥ 38 °C and cough with onset within the last ten days, requiring hospitalization. Very severe ARI cases required intensive care or had at least one danger sign. Oropharyngeal/nasopharyngeal specimens were collected and analyzed by multiplex real-time reverse-transcription polymerase chain reaction (rRT-PCR) using FTD-33 Kit. For this analysis, we included only SARI cases with rRT-PCR positive test results for at least one respiratory virus. We used simple and multilevel logistic regression models to assess factors associated with very severe viral ARI and viral SARI with prolonged hospitalization.ResultsOverall, 1159 viral SARI cases were included in the analysis after excluding exclusively bacterial SARI cases (n = 273)very severe viral ARI cases were common among children living in urban areas (AdjOR = 1.3; 95% CI: 1.1–1.6), those < 3 months old (AdjOR = 1.5; 95% CI: 1.1–2.3), and those coinfected with Klebsiella pneumoniae (AdjOR = 1.9; 95% CI: 1.2–2.2). Malnutrition (AdjOR = 2.2; 95% CI: 1.1–4.2), hospitalization during the rainy season (AdjOR = 1.71; 95% CI: 1.2–2.5), and infection with human CoronavirusOC43 (AdjOR = 3; 95% CI: 1.2-8) were significantly associated with prolonged length of hospital stay (> 7 days).ConclusionYounger age, malnutrition, codetection of Klebsiella pneumoniae, and illness during the rainy season were associated with very severe cases and prolonged hospitalization of SARI involving viruses in children under five years. These findings emphasize the need for preventive actions targeting these factors in young children.

Gamification: Strategy to Pull the Intention of DKI Jakarta Residents (Choice User) to Use Public Transportation

The higher practice of private car use in DKI Jakarta amid the implementation of the TDM strategy that continues to be developed leads to increased traffic congestion, which in turn causes economic losses, deteriorated air quality, and an increase in acute respiratory tract infection cases. Innovation is needed in the pull strategy of DKI Jakarta residents to suppress this behavior, especially those who have (access to) private vehicles to switch to public transportation. This study tries to analyze the effect of gamification on the behavioral intentions of DKI Jakarta residents (choice users) to use public transit for their daily activities (school/college/work). Modifications to the Theory of Planned Behavior (TPB) were carried out to investigate the influence of gamification through attitudes and behavioral control on behavioral intentions to use public transportation. The theory was tested using questionnaire data from 200 respondents with SEM-PLS analysis. The elements of points, levels, rewards, and games are used as indicators of gamification. This study shows that gamification positively and significantly affects attitudes and behavioral control. The study findings confirm the significant positive influence of attitudes on behavioral intentions to use public transportation. The results of this research can also be used as material for consideration in pull strategy (TDM) policy innovation in DKI Jakarta.