RESUMEN
Influenza and respiratory syncytial virus (RSV) are common causes of respiratory tract infections and place a burden on health services each winter. Systems to describe the timing and intensity of such activity will improve the public health response and deployment of interventions to these pressures. Here we develop early warning and activity intensity thresholds for monitoring influenza and RSV using two novel data sources: general practitioner out-of-hours consultations (GP OOH) and telehealth calls (NHS 111). Moving Epidemic Method (MEM) thresholds were developed for winter 2017-2018. The NHS 111 cold/flu threshold was breached several weeks in advance of other systems. The NHS 111 RSV epidemic threshold was breached in week 41, in advance of RSV laboratory reporting. Combining the use of MEM thresholds with daily monitoring of NHS 111 and GP OOH syndromic surveillance systems provides the potential to alert to threshold breaches in real-time. An advantage of using thresholds across different health systems is the ability to capture a range of healthcare-seeking behaviour, which may reflect differences in disease severity. This study also provides a quantifiable measure of seasonal RSV activity, which contributes to our understanding of RSV activity in advance of the potential introduction of new RSV vaccines.
Asunto(s)
Gripe Humana/epidemiología , Gripe Humana/patología , Infecciones por Virus Sincitial Respiratorio/epidemiología , Infecciones por Virus Sincitial Respiratorio/patología , Vigilancia de Guardia , Inglaterra/epidemiología , Humanos , Derivación y Consulta , Telemedicina/métodosRESUMEN
During the 2009 influenza pandemic, a rapid assessment of disease severity was a challenge as a significant proportion of cases did not seek medical care; care-seeking behaviour changed and the proportion asymptomatic was unknown. A random-digit-dialling telephone survey was undertaken during the 2011/12 winter season in England and Wales to address the feasibility of answering these questions. A proportional quota sampling strategy was employed based on gender, age group, geographical location, employment status and level of education. Households were recruited pre-season and re-contacted immediately following peak seasonal influenza activity. The pre-peak survey was undertaken in October 2011 with 1061 individuals recruited and the post-peak telephone survey in March 2012. Eight hundred and thirty-four of the 1061 (78.6%) participants were successfully re-contacted. Their demographic characteristics compared well to national census data. In total, 8.4% of participants self-reported an influenza-like illness (ILI) in the previous 2 weeks, with 3.2% conforming to the World Health Organization (WHO) ILI case definition. In total, 29.6% of the cases reported consulting their general practitioner. 54.1% of the 1061 participants agreed to be re-contacted about providing biological samples. A population-based cohort was successfully recruited and followed up. Longitudinal survey methodology provides a practical tool to assess disease severity during future pandemics.
Asunto(s)
Gripe Humana/epidemiología , Gripe Humana/patología , Entrevistas como Asunto , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Inglaterra/epidemiología , Femenino , Humanos , Estudios Longitudinales , Masculino , Persona de Mediana Edad , Gales/epidemiología , Adulto JovenRESUMEN
Significant increases in excess all-cause mortality, particularly in the elderly, were observed during the winter of 2014/15 in England. With influenza A(H3N2) the dominant circulating influenza A subtype, this paper determines the contribution of influenza to this excess controlling for weather. A standardised multivariable Poisson regression model was employed with weekly all-cause deaths the dependent variable for the period 2008-2015. Adjusting for extreme temperature, a total of 26 542 (95% CI 25 301-27 804) deaths in 65+ and 1942 (95% CI 1834-2052) in 15-64-year-olds were associated with influenza from week 40, 2014 to week 20, 2015. This is compatible with the circulation of influenza A(H3N2). It is the largest estimated number of influenza-related deaths in England since prior to 2008/09. The findings highlight the potential health impact of influenza and the important role of the annual influenza vaccination programme that is required to protect the population including the elderly, who are vulnerable to a severe outcome.
Asunto(s)
Causas de Muerte , Gripe Humana/mortalidad , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Inglaterra/epidemiología , Femenino , Humanos , Lactante , Recién Nacido , Subtipo H3N2 del Virus de la Influenza A , Masculino , Persona de Mediana Edad , Modelos Biológicos , Estaciones del Año , Temperatura , Adulto JovenRESUMEN
A phased introduction of routine influenza vaccination of healthy children was recommended in the UK in 2012, with the aim of protecting both vaccinated children and the wider population through reducing transmission. In the first year of the programme in 2013-2014, 4- to 11-year-olds were targeted in pilot areas across England. This study assesses if this was associated with school absenteeism, an important societal burden of influenza. During the spring 2014 term when influenza predominantly circulated, the proportion of absence sessions due to illness was compared between vaccination pilot and non-pilot areas for primary schools (to measure overall impact) and secondary schools (to measure indirect impact). A linear multilevel regression model was applied, adjusting for clustering within schools and potential school-level confounders, including deprivation, past absenteeism, and ethnicity. Low levels of influenza activity were reported in the community in 2013-2014. Primary schools in pilot areas had a significantly adjusted decrease in illness absenteeism of 0·05% relative to non-pilot schools; equivalent to an average of 4 days per school. In secondary schools, there was no significant indirect impact of being located in a pilot area on illness absenteeism. These insights can be used in conjunction with routine healthcare surveillance data to evaluate the full benefits of such a programme.
RESUMEN
Seasonal respiratory infections place an increased burden on health services annually. We used a sentinel emergency department syndromic surveillance system to understand the factors driving respiratory attendances at emergency departments (EDs) in England. Trends in different respiratory indicators were observed to peak at different points during winter, with further variation observed in the distribution of attendances by age. Multiple linear regression analysis revealed acute respiratory infection and bronchitis/bronchiolitis ED attendances in patients aged 1-4 years were particularly sensitive indicators for increasing respiratory syncytial virus activity. Using near real-time surveillance of respiratory ED attendances may provide early warning of increased winter pressures in EDs, particularly driven by seasonal pathogens. This surveillance may provide additional intelligence about different categories of attendance, highlighting pressures in particular age groups, thereby aiding planning and preparation to respond to acute changes in EDs, and thus the health service in general.
Asunto(s)
Servicio de Urgencia en Hospital , Vigilancia en Salud Pública , Infecciones por Virus Sincitial Respiratorio/epidemiología , Virus Sincitiales Respiratorios/aislamiento & purificación , Infecciones del Sistema Respiratorio/epidemiología , Enfermedad Aguda , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Bronquiolitis/epidemiología , Bronquiolitis/virología , Niño , Preescolar , Servicio de Urgencia en Hospital/estadística & datos numéricos , Inglaterra/epidemiología , Femenino , Humanos , Lactante , Recién Nacido , Masculino , Persona de Mediana Edad , Análisis de Regresión , Infecciones por Virus Sincitial Respiratorio/virología , Infecciones del Sistema Respiratorio/virología , Adulto JovenRESUMEN
Several private boarding schools in England have established universal influenza vaccination programmes for their pupils. We evaluated the impact of these programmes on the burden of respiratory illnesses in boarders. Between November 2013 and May 2014, age-specific respiratory disease incidence rates in boarders were compared between schools offering and not offering influenza vaccine to healthy boarders. We adjusted for age, sex, school size and week using negative binomial regression. Forty-three schools comprising 14 776 boarders participated. Almost all boarders (99%) were aged 11-17 years. Nineteen (44%) schools vaccinated healthy boarders against influenza, with a mean uptake of 48·5% (range 14·2-88·5%). Over the study period, 1468 respiratory illnesses were reported in boarders (5·66/1000 boarder-weeks); of these, 33 were influenza-like illnesses (ILIs, 0·26/1000 boarder-weeks) in vaccinating schools and 95 were ILIs (0·74/1000 boarder-weeks) in non-vaccinating schools. The impact of vaccinating healthy boarders was a 54% reduction in ILI in all boarders [rate ratio (RR) 0·46, 95% confidence interval (CI) 0·28-0·76]. Disease rates were also reduced for upper respiratory tract infections (RR 0·72, 95% CI 0·61-0·85) and chest infections (RR 0·18, 95% CI 0·09-0·36). These findings demonstrate a significant impact of influenza vaccination on ILI and other clinical endpoints in secondary-school boarders. Additional research is needed to investigate the impact of influenza vaccination in non-boarding secondary-school settings.
Asunto(s)
Vacunas contra la Influenza/administración & dosificación , Gripe Humana/epidemiología , Gripe Humana/prevención & control , Instituciones Académicas , Vacunación/estadística & datos numéricos , Adolescente , Niño , Preescolar , Estudios de Cohortes , Estudios Transversales , Inglaterra/epidemiología , Femenino , Humanos , Incidencia , Masculino , Resultado del TratamientoRESUMEN
INTRODUCTION: Through a phased rollout, the UK is implementing annual influenza vaccination for all healthy children aged 2-16 years old. In the first year of the programme in England in 2013/14, all 2-3 year olds were offered influenza vaccine through primary care and a primary school age programme was piloted, mainly through schools, in geographically distinct areas. Equitable delivery is a key aim of the programme; it is unclear if concerns by some religious groups over influenza vaccine content have impacted on uptake. METHODS: At the end of the 2013/14 season, variations in uptake for 2-3 year olds and 4-11 year olds were assessed and stratified by population-level predictors: deprivation, ethnicity, religious beliefs and rurality. GP practice or school level uptake was linearly regressed against these variables to determine potential predictors and changes in uptake, adjusting for significant factors. RESULTS: Uptake varied considerably by geographic locality for both 2-3 year olds and 4-11 year olds. Lower uptake was seen in increasingly deprived areas, with an adjusted uptake in the most deprived quintile 12% and 8% lower than the least deprived areas by age-group respectively. By ethnicity, the highest non-white population quartile had an adjusted uptake 9% and 14% lower than the lowest non-white quartile by age-group respectively. Uptake also varied according to religious beliefs, with adjusted uptake in 4-11 year olds in the highest Muslim population tertile 8% lower than the lowest Muslim population tertile. CONCLUSION: In the first season of the childhood influenza vaccination programme, uptake was not uniform across the country, with deprivation and ethnicity both predictors of low uptake in pre-school and primary school age children, and religious beliefs also an important factor, particularly the latter group. With the continued rollout of the programme, these population-level factors should be addressed to achieve sustained successful uptake, along with assessment of contribution of individual and household-level factors.
Asunto(s)
Atención a la Salud/estadística & datos numéricos , Programas de Inmunización , Gripe Humana/prevención & control , Adolescente , Factores de Edad , Niño , Preescolar , Inglaterra/epidemiología , Etnicidad , Femenino , Geografía , Humanos , Programas de Inmunización/normas , Programas de Inmunización/estadística & datos numéricos , Vacunas contra la Influenza/administración & dosificación , Masculino , Atención Primaria de Salud , Religión , Instituciones Académicas , Estaciones del Año , Factores de Tiempo , Vacunación/estadística & datos numéricosAsunto(s)
Subtipo H1N1 del Virus de la Influenza A/inmunología , Subtipo H3N2 del Virus de la Influenza A/aislamiento & purificación , Virus de la Influenza B/aislamiento & purificación , Vacunas contra la Influenza/administración & dosificación , Gripe Humana/prevención & control , Estaciones del Año , Adolescente , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Estudios de Casos y Controles , Niño , Preescolar , Femenino , Humanos , Lactante , Recién Nacido , Subtipo H3N2 del Virus de la Influenza A/clasificación , Subtipo H3N2 del Virus de la Influenza A/genética , Subtipo H3N2 del Virus de la Influenza A/inmunología , Virus de la Influenza B/genética , Virus de la Influenza B/inmunología , Vacunas contra la Influenza/inmunología , Gripe Humana/diagnóstico , Gripe Humana/epidemiología , Gripe Humana/virología , Modelos Logísticos , Masculino , Persona de Mediana Edad , Atención Primaria de Salud , Reacción en Cadena en Tiempo Real de la Polimerasa , Vigilancia de Guardia , Encuestas y Cuestionarios , Resultado del Tratamiento , Reino Unido/epidemiología , Vacunación/estadística & datos numéricos , Adulto JovenRESUMEN
BACKGROUND: Subnational variation of 2009 pandemic influenza activity in England has been reported; however, little work has been published on this topic for seasonal influenza. If variation is present, this knowledge may assist with both identifying the onset of influenza epidemics, informing community antiviral prescription and local health planning. METHODS: An end-of-season analysis of influenza surveillance systems (acute respiratory outbreaks, primary care consultations, virological testing, influenza-confirmed secondary care admissions and excess all-cause mortality) was undertaken at national and subnational levels for 2012/13 when influenza B and A(H3N2) dominated. RESULTS: National community antiviral prescription was recommended in Week 51 following national threshold exceedance. However, this was preceded up to 2 weeks by subnational influenza activity in 2/9 regions in England. Regional variation in circulation of influenza subtypes was observed and severe influenza surveillance data sources were able to monitor the subnational impact. CONCLUSIONS: Evidence of virological activity in two or more regions above a threshold indicated the onset of the 2012/13 season. Subnational thresholds should be determined and evaluated in order to improve timeliness of the national antiviral alert. During the season, outputs should be reported at levels that can inform local public health responses and variation considered when retrospectively evaluating the impact of interventions.
Asunto(s)
Antivirales/uso terapéutico , Gripe Humana/epidemiología , Gripe Humana/prevención & control , Brotes de Enfermedades , Inglaterra/epidemiología , Femenino , Humanos , Masculino , Vigilancia de la Población , Salud PúblicaRESUMEN
General Practitioner consultation rates for influenza-like illness (ILI) are monitored through several geographically distinct schemes in the UK, providing early warning to government and health services of community circulation and intensity of activity each winter. Following on from the 2009 pandemic, there has been a harmonization initiative to allow comparison across the distinct existing surveillance schemes each season. The moving epidemic method (MEM), proposed by the European Centre for Disease Prevention and Control for standardizing reporting of ILI rates, was piloted in 2011/12 and 2012/13 along with the previously proposed UK method of empirical percentiles. The MEM resulted in thresholds that were lower than traditional thresholds but more appropriate as indicators of the start of influenza virus circulation. The intensity of the influenza season assessed with the MEM was similar to that reported through the percentile approach. The MEM pre-epidemic threshold has now been adopted for reporting by each country of the UK. Further work will continue to assess intensity of activity and apply standardized methods to other influenza-related data sources.
Asunto(s)
Notificación de Enfermedades/métodos , Monitoreo Epidemiológico , Gripe Humana/diagnóstico , Gripe Humana/epidemiología , Atención Primaria de Salud/métodos , Humanos , Reino Unido/epidemiologíaRESUMEN
OBJECTIVES: An evaluation of the Cold Weather Plan (CWP) for England 2011-2012 was undertaken in April 2012 to generate the basis for further revisions. It is widely considered good practice to formulate and revise policy on the basis of the best available evidence. This paper examines whether the evaluation is an example of pragmatic evidence-based policy-making. STUDY DESIGN: A process evaluation with a formative multimethods approach. METHODS: An electronic survey and national workshop were conducted alongside the production of a number of summary reports from the Health Protection Agency surveillance systems and Met Office meteorological data. The Department of Health and the Met Office were consulted on how the evaluation recommendations shaped the revised CWP and Met Office Cold Weather Alerting System respectively. RESULTS: The Cold Weather Plan survey had 442 responses, a majority from Local Authorities, and from all regions of England. Thematic analysis generated qualitative data, which along with feedback from the workshop were synthesized into six main recommendations. Reviewing the new CWP and the Met Office Cold Weather Alerting System revealed significant modifications on the basis of the evaluation. CONCLUSIONS: The evaluation sets the context for cold weather and health during the 2011-2012 winter. This study shows that the CWP 2012-2013 was revised on the basis of the national evaluation recommendations and is an example of pragmatic evidence-based policy-making.
Asunto(s)
Frío , Práctica Clínica Basada en la Evidencia , Planificación en Salud , Política de Salud , Formulación de Políticas , Inglaterra , Humanos , Evaluación de Programas y Proyectos de SaludRESUMEN
As part of the introduction and roll-out of a universal childhood live-attenuated influenza vaccination programme, 411 year-olds were vaccinated in seven pilot areas in England in the 2013/14 influenza season. This paper presents the uptake and impact of the programme for a range of disease indicators. End-of-season uptake was defined as the number of children in the target population who received at least one dose of influenza vaccine. Between week 40 2013 and week 15 2014, cumulative disease incidence per 100,000 population (general practitioner consultations for influenza-like illness and laboratory-confirmed influenza hospitalisations), cumulative influenza swab positivity in primary and secondary care and cumulative proportion of emergency department respiratory attendances were calculated. Indicators were compared overall and by age group between pilot and non-pilot areas. Direct impact was defined as reduction in cumulative incidence based on residence in pilot relative to non-pilot areas in 411 year-olds. Indirect impact was reduction between pilot and non-pilot areas in <4 year-olds and >11 year-olds. Overall vaccine uptake of 52.5% (104,792/199,475) was achieved. Although influenza activity was low, a consistent, though not statistically significant, decrease in cumulative disease incidence and influenza positivity across different indicators was seen in pilot relative to non-pilot areas in both targeted and non-targeted age groups, except in older age groups, where no difference was observed for secondary care indicators.
Asunto(s)
Vacunas contra la Influenza/administración & dosificación , Gripe Humana/prevención & control , Vacunación/estadística & datos numéricos , Vacunas Atenuadas/administración & dosificación , Niño , Preescolar , Inglaterra/epidemiología , Femenino , Humanos , Programas de Inmunización/estadística & datos numéricos , Incidencia , Vacunas contra la Influenza/efectos adversos , Gripe Humana/epidemiología , Masculino , Proyectos Piloto , Instituciones Académicas , Estaciones del Año , Vacunas Atenuadas/efectos adversosRESUMEN
Methods for estimating vaccine effectiveness (VE) against severe influenza are not well established. We used the screening method to estimate VE against influenza resulting in intensive care unit (ICU) admission in England and Scotland in 2011/2012. We extracted data on confirmed influenza ICU cases from severe influenza surveillance systems, and obtained their 2011/2012 trivalent influenza vaccine (TIV) status from primary care. We compared case vaccine uptake with population vaccine uptake obtained from routine monitoring systems, adjusting for age group, specific risk group, region and week. Of 60 influenza ICU cases reported, vaccination status was available for 56 (93%). Adjusted VE against ICU admission for those aged ≥ 65 years was -10% [95% confidence interval (CI) -207 to 60], consistent with evidence of poor protection from the 2011/2012 TIV in 2011/2012. Adjusted VE for those aged <65 years in risk groups was -296% (95% CI -930 to -52), suggesting significant residual confounding using the screening method in those subject to selective vaccination.
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Vacunas contra la Influenza/administración & dosificación , Gripe Humana/epidemiología , Adolescente , Adulto , Anciano , Niño , Preescolar , Estudios de Cohortes , Inglaterra/epidemiología , Hospitalización/estadística & datos numéricos , Humanos , Lactante , Vacunas contra la Influenza/inmunología , Gripe Humana/inmunología , Gripe Humana/prevención & control , Unidades de Cuidados Intensivos/estadística & datos numéricos , Modelos Logísticos , Persona de Mediana Edad , Vigilancia de GuardiaRESUMEN
In 2010/11, the influenza season in England was marked by a relative increase in impact on the population compared to that seen during the 2009/10 pandemic, with the same influenza subtype, A(H1N1)pdm09, circulating. The peaks in critical care bed occupancy in both seasons coincided with peaks in influenza A(H1N1)pdm09 activity, but onset of influenza in 2010/11 additionally coincided with notably cold weather, a comparatively smaller peak in influenza B activity and increased reports of bacterial co-infection. A bigger impact on critical care services was seen across all regions in England in 2010/11, with, compared to 2009/10, a notable age shift in critical care admissions from children to young adults. The peak of respiratory syncytial virus (RSV) activity did not coincide with critical care admissions, and regression analysis suggested only a small proportion of critical care bed days might be attributed to the virus in either season. Differences in antiviral policy and improved overall vaccine uptake in 2010/11 with an influenza A(H1N1)pdm09 strain containing vaccine between seasons are unlikely to explain the change in impact observed between the two seasons. The reasons behind the relative high level of severe disease in the 2010/11 winter are likely to have resulted from a combination of factors, including an age shift in infection, accumulation of susceptible individuals through waning immunity, new susceptible individuals from new births and cold weather. The importance of further development of severe influenza disease surveillance schemes for future seasons is reinforced.
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Cuidados Críticos/estadística & datos numéricos , Subtipo H1N1 del Virus de la Influenza A/aislamiento & purificación , Gripe Humana/epidemiología , Tiempo de Internación/tendencias , Adolescente , Adulto , Distribución por Edad , Anciano , Inglaterra/epidemiología , Femenino , Humanos , Masculino , Persona de Mediana Edad , Pandemias , Estaciones del Año , Adulto JovenRESUMEN
Several European countries have timely all-cause mortality monitoring. However, small changes in mortality may not give rise to signals at the national level. Pooling data across countries may overcome this, particularly if changes in mortality occur simultaneously. Additionally, pooling may increase the power of monitoring populations with small numbers of expected deaths, e.g. younger age groups or fertile women. Finally, pooled analyses may reveal patterns of diseases across Europe. We describe a pooled analysis of all-cause mortality across 16 European countries. Two approaches were explored. In the 'summarized' approach, data across countries were summarized and analysed as one overall country. In the 'stratified' approach, heterogeneities between countries were taken into account. Pooling using the 'stratified' approach was the most appropriate as it reflects variations in mortality. Excess mortality was observed in all winter seasons albeit slightly higher in 2008/09 than 2009/10 and 2010/11. In the 2008/09 season, excess mortality was mainly in elderly adults. In 2009/10, when pandemic influenza A(H1N1) dominated, excess mortality was mainly in children. The 2010/11 season reflected a similar pattern, although increased mortality in children came later. These patterns were less clear in analyses based on data from individual countries. We have demonstrated that with stratified pooling we can combine local mortality monitoring systems and enhance monitoring of mortality across Europe.
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Análisis de Supervivencia , Adolescente , Adulto , Factores de Edad , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Europa (Continente)/epidemiología , Femenino , Humanos , Lactante , Recién Nacido , Masculino , Persona de Mediana Edad , Estaciones del Año , Adulto JovenRESUMEN
On 22 September 2012, a novel coronavirus, very closely related to that from a fatal case in Saudi Arabia three months previously, was detected in a previously well adult transferred to intensive care in London from Qatar with severe respiratory illness. Strict respiratory isolation was instituted. Ten days after last exposure, none of 64 close contacts had developed severe disease, with 13 of 64 reporting mild respiratory symptoms. The novel coronavirus was not detected in 10 of 10 symptomatic contacts tested.
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Técnicas de Laboratorio Clínico , Infecciones por Coronavirus/diagnóstico , Coronavirus/aislamiento & purificación , Práctica de Salud Pública , Síndrome Respiratorio Agudo Grave/diagnóstico , Viaje , Adulto , Infecciones por Coronavirus/virología , Humanos , Londres , Masculino , Arabia Saudita , Síndrome Respiratorio Agudo Grave/virología , Reino UnidoRESUMEN
Coronaviruses have the potential to cause severe transmissible human disease, as demonstrated by the severe acute respiratory syndrome (SARS) outbreak of 2003. We describe here the clinical and virological features of a novel coronavirus infection causing severe respiratory illness in a patient transferred to London, United Kingdom, from the Gulf region of the Middle East.
Asunto(s)
Infecciones por Coronavirus/diagnóstico , Coronavirus/aislamiento & purificación , Transferencia de Pacientes , Síndrome Respiratorio Agudo Grave/etiología , Viaje , Animales , Coronavirus/clasificación , Coronavirus/patogenicidad , Infecciones por Coronavirus/microbiología , Infecciones por Coronavirus/virología , Notificación de Enfermedades , Reservorios de Enfermedades , Perfilación de la Expresión Génica , Humanos , Unidades de Cuidados Intensivos , Londres , Masculino , Persona de Mediana Edad , Reacción en Cadena en Tiempo Real de la Polimerasa , Insuficiencia Respiratoria/complicaciones , Insuficiencia Respiratoria/terapia , Arabia Saudita , Sensibilidad y Especificidad , Síndrome Respiratorio Agudo Grave/microbiología , Síndrome Respiratorio Agudo Grave/terapiaRESUMEN
In February and March 2012, excess deaths among the elderly have been observed in 12 European countries that carry out weekly monitoring of all-cause mortality. These preliminary data indicate that the impact of influenza in Europe differs from the recent pandemic and post-pandemic seasons. The current excess mortality among the elderly may be related to the return of influenza A(H3N2) virus, potentially with added effects of a cold snap.