Background Timely influenza surveillance is important to monitor influenza epidemics. Objectives (i) To calculate the epidemic threshold for influenza-like illness (ILI) and acute respiratory infections (ARI) in 19 countries, as well as the thresholds for different levels of intensity. (ii) To evaluate the performance of these thresholds. Methods The moving epidemic method (MEM) has been developed to determine the baseline influenza activity and an epidemic threshold. False alerts, detection lags and timeliness of the detection of epidemics were calculated. The performance was evaluated using a cross-validation procedure. Results The overall sensitivity of the MEM threshold was 71·8% and the specificity was 95·5%. The median of...
Scotland observed an unusual influenza A(H3N2)- dominated 2017/18 influenza season with healthcare ...
Every year, influenza epidemics affect millions of people and place a strong burden on health care s...
A statistical surveillance system gives a signal as soon as data give enough evidence of an importan...
Objectives Although influenza-like illnesses (ILI) and acute respiratory illnesses (ARI) surveillanc...
International audienceInfluenza epidemics are monitored using influenza-like illness (ILI) data repo...
The annual influenza season is a recurring time period characterized by the prevalence of outbreaks ...
BACKGROUND: The European Influenza Surveillance Scheme (EISS) has collected clinical and virological...
Health authorities find thresholds useful to gauge the start and severity of influenza seasons. We e...
Background: Key to the control of pandemic influenza are surveillance systems that raise alarms rapi...
Background: Understanding influenza seasonality is necessary for determining policies for influenza ...
The global epidemiology of many infectious diseases is changing, but little attention has been paid ...
A large number of emerging infectious diseases (including influenza epidemics) has been identified d...
Relevance. Early recognition of the beginning of the epidemic in the country and its individual Fede...
Abstract Background The European Influenza Surveillance Scheme (EISS) has collected clinical and vir...
Introduction: The global epidemiology of many infectious diseases is changing, but little attention ...
Scotland observed an unusual influenza A(H3N2)- dominated 2017/18 influenza season with healthcare ...
Every year, influenza epidemics affect millions of people and place a strong burden on health care s...
A statistical surveillance system gives a signal as soon as data give enough evidence of an importan...
Objectives Although influenza-like illnesses (ILI) and acute respiratory illnesses (ARI) surveillanc...
International audienceInfluenza epidemics are monitored using influenza-like illness (ILI) data repo...
The annual influenza season is a recurring time period characterized by the prevalence of outbreaks ...
BACKGROUND: The European Influenza Surveillance Scheme (EISS) has collected clinical and virological...
Health authorities find thresholds useful to gauge the start and severity of influenza seasons. We e...
Background: Key to the control of pandemic influenza are surveillance systems that raise alarms rapi...
Background: Understanding influenza seasonality is necessary for determining policies for influenza ...
The global epidemiology of many infectious diseases is changing, but little attention has been paid ...
A large number of emerging infectious diseases (including influenza epidemics) has been identified d...
Relevance. Early recognition of the beginning of the epidemic in the country and its individual Fede...
Abstract Background The European Influenza Surveillance Scheme (EISS) has collected clinical and vir...
Introduction: The global epidemiology of many infectious diseases is changing, but little attention ...
Scotland observed an unusual influenza A(H3N2)- dominated 2017/18 influenza season with healthcare ...
Every year, influenza epidemics affect millions of people and place a strong burden on health care s...
A statistical surveillance system gives a signal as soon as data give enough evidence of an importan...