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The epidemiology of respiratory infections may vary depending on factors such as climate changes, geographical features, and urbanization. Pandemics also change the epidemiological characteristics of not only the relevant infectious agent itself but also other infectious agents. This study aims to assess the impact of the COVID-19 pandemic on the epidemiology of viral respiratory infections in children. We retrospectively reviewed the medical records of children aged ≤18 years with laboratory-confirmed viral respiratory infections other than COVID-19 from January 2018 to March 2023. Data on demographic characteristics, month and year of admission, and microbiological results were collected. During the study period, 1,829 respiratory samples were sent for polymerase chain reaction testing. Rhinovirus was identified in 24% of the patients, mixed infections in 21%, influenza virus in 20%, and respiratory syncytial virus in 12.5%. A 38.6% decrease in viral respiratory infections was observed in 2020, followed by a 188% increase in 2021. The respiratory syncytial virus was significantly more common in the post-pandemic period (13.8%) compared to the pre-pandemic period (8.1%), but no seasonal shift in respiratory syncytial virus infection was observed. There was also a yearly increase in influenza infections in the post-pandemic period compared to the pre-pandemic period. After the COVID-19 pandemic, the frequency of parainfluenza virus infections increased during the summer months, and this finding provides a new contribution to the existing literature.
Seasonal influenza epidemics result in high levels of healthcare utilization. Vaccination is an effective strategy to reduce the influenza-related burden of disease. However, reporting vaccine effectiveness does not convey the population impacts of influenza vaccination. We aimed to calculate the burden of influenza-related hospitalizations and emergency department (ED) attendance averted by influenza vaccination in Victoria, Australia, from 2017 to 2019, and associated economic savings. We applied a compartmental model to hospitalizations and ED attendances with influenza-specific, and pneumonia and influenza (P&I) with the International Classification of Diseases, 10th Revision, Australian Modification (ICD-10-AM) diagnostic codes of J09-J11 and J09-J18, respectively. We estimated an annual average of 7657 (120 per 100000 population) hospitalizations and 20560 (322 per 100000 population) ED attendances over the study period, associated with A$85 million hospital expenditure. We estimated that influenza vaccination averted an annual average of 1182 [range: 556 – 2277] hospitalizations and 3286 [range: 1554 – 6257] ED attendances and reduced the demand for healthcare services at the influenza season peak. This equated to approximately A13 [range: A6 – A25] million of savings over the study period. Calculating the burden averted is feasible in Australia and auseful approach to demonstrate the health and economic benefits of influenza vaccination.
Influenza and other acute respiratory viral infections (ARVIs) are among the most common human diseases. In recent decades, the discovery of cytokines and their significance in the pathogenesis of diseases has led to extensive research on these compounds in various pathologies including ARVIs. The aim of the research was to study the cytokine profile in patients with ARVIs. The cases of 30 patients were investigated. Etiological diagnosis was performed by polymerase chain reaction. Different classes of cytokines in the serum were defined by the enzyme-linked immunosorbent assay (ELISA). The level of cytokines depended on the number of pathogens. The highest levels of pro-inflammatory interleukins and the lowest levels of anti-inflammatory IL-4 were observed in patients with a combination of five or more viruses compared to those with a monoinfection. Analysis of the data showed that in the acute phase, the levels of all studied pro-inflammatory cytokines – IL-2, IL-6, and TNF-α – increased by 8, 39, and 9 times, respectively, compared to those in healthy individuals. In the acute phase of ARVI, the levels of pro-inflammatory cytokines were significantly higher and depended on the severity of the disease. The imbalance of cytokines in the serum has been established in cases of ARVIs, depending on the severity of the disease.
This chapter deals with Occupational Health and how to protect healthcare workers from acquiring infections (e.g. HAV, HBV, HIV, HCV, VZV, influenza, Covid-19, measles, mumps, rubella, polio, TB, diphtheria, meningococcal infection and tetanus) while at work. It describes how healthcare workers can be protected by providing pre-exposure vaccinations and post-exposure treatments, as well as discussing responses to outbreaks and routes of infection.
This chapter details the epidemiology, route of spread, prevalence and incubation periods of viruses causing respiratory symptoms (adenoviruses, SARS-CoV-2, enteroviruses, influenza, HMPV, parainfluenzaviruses, RSV, rhinoviruses). It gives information on symptoms, laboratory diagnosis, treatment, prophylaxis and infection control.
This chapter deals with public health and pandemic preparedness. It recognises the five stages of a new pandemic (detection, assessment, treatment, escalation and recovery). The chapter also deals with the issue of laboratory preparedness and the need to maintain a critical mass of laboratory and skilled staff expertise at all times in order to be able to respond rapidly and effectively to a new emerging pandemic.
Previous studies suggest that influenza virus infection may provide temporary non-specific immunity and hence lower the risk of non-influenza respiratory virus infection. In a randomized controlled trial of influenza vaccination, 1 330 children were followed-up in 2009–2011. Respiratory swabs were collected when they reported acute respiratory illness and tested against influenza and other respiratory viruses. We used Poisson regression to compare the incidence of non-influenza respiratory virus infection before and after influenza virus infection. Based on 52 children with influenza B virus infection, the incidence rate ratio (IRR) of non-influenza respiratory virus infection after influenza virus infection was 0.47 (95% confidence interval: 0.27–0.82) compared with before infection. Simulation suggested that this IRR was 0.87 if the temporary protection did not exist. We identified a decreased risk of non-influenza respiratory virus infection after influenza B virus infection in children. Further investigation is needed to determine if this decreased risk could be attributed to temporary non-specific immunity acquired from influenza virus infection.
Edited by
Richard Williams, University of South Wales,Verity Kemp, Independent Health Emergency Planning Consultant,Keith Porter, University of Birmingham,Tim Healing, Worshipful Society of Apothecaries of London,John Drury, University of Sussex
Social media consist of tools that enable open exchange of information through conversation and interaction. Over half of the global population are active social media users. However, several countries that are among the most vulnerable to emergencies, incidents, disasters, and disease outbreaks (EIDD) have relatively low social media uptake rates. This chapter explores and identifies the range of social media usage before, during, and after crises such as disasters and disease outbreaks. It focuses on three serious illnesses – influenza, Ebola virus disease (Ebola), and COVID-19. The research related to the three diseases shows that social media are mainly used by authorities in risk communication and crisis communication. It highlights numerous other uses that can be helpful to emergency managers and health service providers. The chapter concludes with an identification of principles derived from the research and a brief assessment of the short-term and long-term impacts of social media use.
Current evidence suggests that recent acute respiratory infections and seasonal influenza may precipitate acute myocardial infarction (AMI). This study examined the potential link between recent clinical respiratory illness (CRI) and influenza, and AMI in Bangladesh. Conducted during the 2018 influenza season at a Dhaka tertiary-level cardiovascular (CV) hospital, it included 150 AMI cases and two control groups: 44 hospitalized cardiac patients without AMI and 90 healthy individuals. Participants were matched by gender and age groups. The study focused on self-reported CRI and laboratory-confirmed influenza ascertained via quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) within the preceding week, analyzed using multivariable logistic regression. Results showed that cases reported CRI, significantly more frequently than healthy controls (27.3% vs. 13.3%, adjusted odds ratio (aOR): 2.21; 95% confidence interval (CI): 1.05–4.06), although this was not significantly different from all controls (27.3% vs. 22.4%; aOR: 1.19; 95% CI: 0.65–2.18). Influenza rates were insignificantly higher among cases than controls. The study suggests that recent respiratory illnesses may precede AMI onset among Bangladeshi patients. Infection prevention and control practices, as well as the uptake of the influenza vaccine, may be advocated for patients at high risk of acute CV events.
In the 1910s, human and animal populations all over the Lushai Hills were pounded by a chance series of calamities - environmental, financial, agricultural, and epidemiological - forever altering the social landscape. This chapter is about how people attempting to escape the crush of bamboo famine, debt, crop failure, and disease were set in motion across mountains. As traditional coping strategies were constrained by new political, economic, and environmental realities, shattered clan groups began to forge new survival mechanisms out of missionary medicine and Christianity itself. Shattered families, scattered clans, sickly refugees, and indebted labourers were dashed across mountainsides to become seekers of new powers as older survival mechanisms failed or were ruled out, regulated, or lost. Disasters reordered not only by catalyzing opportunities for spiritual searching, but also by remixing splintered clan groups of survivors - once disparate kin groups and communities that, according to contemporary upland cultural logics, were in dire need of communal healing, restoration, and reconciliation. Foregrounding local terminology in the telling of these pasts opens up causal explanations, interpretative pathways, and complexities otherwise obscured by using Western categories and frameworks alone, and points to the multiple meanings of the conversion process itself. Christianity advanced through catastrophe as shattered populations folded it back into the normal healing structures of upland life.
Knowing the burden of severe disease caused by influenza is essential for disease risk communication, to understand the true impact of vaccination programmes and to guide public health and disease control measures. We estimated the number of influenza-attributable hospitalisations in Spain during the 2010–2011 to 2019–2020 seasons – based on the hospitalisations due to severe acute respiratory infection (SARI) in Spain using the hospital discharge database and virological influenza information from the Spanish Influenza Sentinel Surveillance System (SISSS). The weekly numbers of influenza-attributable hospitalisations were calculated by multiplying the weekly SARI hospitalisations by the weekly influenza virus positivity, obtained from the SISSS in each season, stratified by age group and sex. The influenza-related hospitalisation burden is age-specific and varies significantly by influenza season. People aged 65 and over yielded the highest average influenza-attributable hospitalisation rates per season (615.6 per 100,000), followed by children aged under 5 (251.2 per 100,000). These results provide an essential contribution to influenza control and to improving existing vaccination programmes, as well as to the optimisation and planning of health resources and policies.
This article aims to analyze the relationship between user characteristics on social networks and influenza.
Methods:
Three specific research questions are investigated: (1) we classify Weibo updates to recognize influenza-related information based on machine learning algorithms and propose a quantitative model for influenza susceptibility in social networks; (2) we adopt in-degree indicator from complex networks theory as social media status to verify its coefficient correlation with influenza susceptibility; (3) we also apply the LDA topic model to explore users’ physical condition from Weibo to further calculate its coefficient correlation with influenza susceptibility. From the perspective of social networking status, we analyze and extract influenza-related information from social media, with many advantages including efficiency, low cost, and real time.
Results:
We find a moderate negative correlation between the susceptibility of users to influenza and social network status, while there is a significant positive correlation between physical condition and susceptibility to influenza.
Conclusions:
Our findings reveal the laws behind the phenomenon of online disease transmission, and providing important evidence for analyzing, predicting, and preventing disease transmission. Also, this study provides theoretical and methodological underpinnings for further exploration and measurement of more factors associated with infection control and public health from social networks.
For many deaths associated with influenza and Omicron infections, those viruses are not detected. We applied previously developed methodology to estimate the contribution of influenza and Omicron infections to all-cause mortality in France for the 2014–2015 through the 2018–2019 influenza seasons, and the period between week 33, 2022 and week 12, 2023. For the 2014–2015 through the 2018–2019 seasons, influenza was associated with annual average of 15,654 (95% CI (13,013, 18,340)) deaths, while between week 33, 2022 and week 12, 2023, we estimated 7,851 (5,213, 10,463) influenza-associated deaths and 32,607 (20,794, 44,496) SARS-CoV-2 associated deaths. For many Omicron-associated deaths for cardiac disease, mental&behavioural disorders, and other causes, Omicron infections are not characterised as a contributing cause of death – for example, between weeks 33–52 in 2022, we estimated 23,983 (15,307, 32,620) SARS-CoV-2-associated deaths in France, compared with 12,811 deaths with COVID-19 listed on death certificate. Our results suggest the need for boosting influenza vaccination coverage in different population groups in France, and for wider detection of influenza infections in respiratory illness episodes (including pneumonia) in combination with the use of antiviral medications. For Omicron epidemics, wider detection of Omicron infections in persons with underlying health conditions is needed.
National vaccination programmes recommend the influenza vaccine for older adults, but this population group has the greatest morbidity and mortality from other preventable vaccine diseases. The aim of this article is to estimate the vaccine coverage in adults aged 65 years and older and to analyse the factors that could increase or decrease vaccination uptake probability for the three listed vaccines in the national vaccination programme (influenza, tetanus and diphtheria, and pneumococcus) and the full scheme in Mexico. We conducted an analytical cross-sectional study with 2012, 2018, and 2021 rounds from the National Health and Nutrition Survey, in which we calculated the vaccine coverage estimations and performed multivariable logistic regression models to analyse the factors related to vaccine uptake. Tetanus and diphtheria vaccines had the greatest coverage estimation in all years (59–71%), whereas the pneumococcus vaccine had the lowest (32–53%). Full scheme vaccine coverage decreased from 37.80% to 24.77% in 2012 and 2021, respectively. The National Health Card property, morbidity, being a beneficiary of any health system institution, and use of preventive services increased the probability of vaccine uptake. In conclusion, vaccine coverage in older Mexican adults decreased over time, and the Mexican health system plays a strategic role in immunisation.
The Klondike gold rush, sparked in August 1896, brought tens of thousands of people from around the globe into the Yukon. Whalers had reached the Mackenzie Delta from the Pacific in the same decade. The demographic wave crested in 1900, the same year as a combined influenza and measles epidemic spread through Alaska into the Yukon, known as the Great Sickness. Oral histories and archival evidence show that it was not the absence of immunity but rather the synergistic effects of multiple pathogens that produced this devastating epidemic and its consequences.
The 1928 epidemic came a decade after the 1918–19 influenza pandemic. Using the rich epidemiological, biological, and historical evidence available from the 1918–19 pandemic, this chapter examines the relationship between these two episodes. What happened along the Mackenzie River in 1928 offers unique insight into the global reverberations of the appearance of a novel influenza virus ten years previously. This chapter also explores the effects of colonial power relations on the course of the epidemic and the ways in which this epidemic reinforced particular interpretations of ‘race’ and ‘racial’ difference in northern North America.
The book ends in 1940, on the cusp of change that came with the militarization of the North during the Second World War and the Cold War. This was also when the Canadian government asserted greater control over the North, including over healthcare. Epidemics that arrived with resource workers, military, and state personnel, were interpreted by southern observers as ‘virgin soil epidemics’ in ‘isolated’ populations. These epidemics and their northern setting influenced biomedical research into the nature of immunity that was significant to the history of medicine.
Scarlet fever in the 1860s affected people along the Yukon and Mackenzie rivers and was perceived at the time as the most significant nineteenth-century epidemic. It was also connected to a much larger scarlet fever pandemic. Combined with influenza, scarlet fever moved down rivers, through trade posts, and into camps, illuminating how local relations with people and the land shaped the pandemic. This chapter conveys the scale of this sickness through estimates of deaths and the geographic extent of disease spread. The chapter then assesses the effects of ill health and mortality, the loss of adults and children, on the larger processes of colonial change underway in the nineteenth century, including the creation of northern residential schools.
A world-changing influenza came to the Mackenzie River in 1928, killing up to 10 per cent of the population in less than two months. A century later, stories about 1928 continue to be shared in the North and are combined here with archival materials that detail state, medical, and community responses. This chapter tells the story of the 1928 epidemic in depth. The narrative follows the spread of the influenza virus aboard the main trade post supply ship, the SS Distributor, and then out on the land through treaty gatherings and the normal social life of summer, all irrevocably disrupted.