National surveillance for influenza and influenza like illness in Qatar, January–December 2015: An analysis of sentinel surveillance systems

2017 ◽  
Vol 05 (03) ◽  
Author(s):  
Hamad Eid Al Romaihi
Keyword(s):  
Sentinel Surveillance ◽  
Surveillance Systems ◽  
National Surveillance ◽  
Influenza Like Illness

scholarly journals Epidemiology and Viral Etiology of the Influenza-Like Illness in Corsica during the 2012–2013 Winter: An Analysis of Several Sentinel Surveillance Systems

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e100388 ◽  
Author(s):  
Laëtitia Minodier ◽  
Christophe Arena ◽  
Guillaume Heuze ◽  
Marc Ruello ◽  
Jean Pierre Amoros ◽  
...  
Keyword(s):  
Sentinel Surveillance ◽  
Surveillance Systems ◽  
Viral Etiology ◽  
Influenza Like Illness

scholarly journals Interpreting “Google Flu Trends” data for pandemic H1N1 influenza: The New Zealand experience

2009 ◽  
Vol 14 (44) ◽  
Author(s):  
N Wilson ◽  
K Mason ◽  
M Tobias ◽  
M Peacey ◽  
Q S Huang ◽  
...  
Keyword(s):  
New Zealand ◽  
Pandemic Influenza ◽  
Media Coverage ◽  
Surveillance System ◽  
H1n1 Influenza ◽  
Surveillance Systems ◽  
Pandemic H1n1 ◽  
National Surveillance ◽  
Influenza Like Illness ◽  
Pandemic H1n1 Influenza

For the period of the spread of pandemic H1N1 influenza in New Zealand during 2009, we compared results from Google Flu Trends with data from existing surveillance systems. The patterns from Google Flu Trends were closely aligned with (peaking a week before and a week after) two independent national surveillance systems for influenza-like illness (ILI) cases. It was much less congruent with (delayed by three weeks) data from ILI-related calls to a national free-phone Healthline and with media coverage of pandemic influenza. Some patterns were unique to Google Flu Trends and may not have reflected the actual ILI burden in the community. Overall, Google Flu Trends appears to provide a useful free surveillance system but it should probably be seen as supplementary rather than as an alternative.

Derivation of New Surveillance System for Influenza-like Illness Using Claims Data 2014-2018 in Korea (Preprint)

2020 ◽  
Author(s):  
HeeKyung Choi ◽  
Won Suk Choi ◽  
Euna Han
Keyword(s):  
Surveillance System ◽  
Claims Data ◽  
Health Concern ◽  
Influenza Surveillance ◽  
Utilization Review ◽  
Surveillance Systems ◽  
Influenza Like Illness ◽  
System P ◽  
National Patient ◽  
Antitussive Agents

BACKGROUND Influenza is an important public health concern. A national surveillance system that easily and rapidly detects influenza epidemics is lacking. OBJECTIVE We assumed that the rate of influenza-like illness (ILI) related-claims is similar to the current ILI surveillance system. METHODS We used the Health Insurance Review and Assessment Service-National Patient Samples (HIRA-NPS), 2014-2018. We defined ILI-related claims as outpatient claims that contain both antipyretic and antitussive agents and calculated the weekly rate of ILI-related claims. We compared ILI-related claims and weekly ILI rates from clinical sentinel surveillance data. RESULTS We observed a strong correlation between the two surveillance systems each season. The absolute thresholds for the four-years were 84.64 and 86.19 cases claims per 1,000 claims for claims data and 12.27 and 16.82 per 1,000 patients for sentinel data (Figure 5). Both the claims and sentinel data surpassed the epidemic thresholds each season. The peak epidemic in the claims data was reached one to two weeks later than in the sentinel data. The epidemic patterns were more similar in the 2016-2017 and 2017-2018 seasons than the 2014-2015 and 2015-2016 seasons. CONCLUSIONS Based on hospital reports, ILI-related claims rates were similar to the ILI surveillance system. ILI claims data can be loaded to a drug utilization review system in Korea to make an influenza surveillance system.

scholarly journals Structural Mapping of Mutations in Spike, RdRp and Orf3a Genes of SARS-CoV-2 in Influenza Like Illness (ILI) Patients

Viruses ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 136
Author(s):  
Bandar Alosaimi ◽  
Asif Naeem ◽  
Majed F. Alghoribi ◽  
Lilian Okdah ◽  
Maaweya E. Hamed ◽  
...  
Keyword(s):  
Surveillance Systems ◽  
Case Definitions ◽  
Structural Mapping ◽  
Policy Makers ◽  
Influenza Like Illness ◽  
Spike Gene ◽  
Ambulatory Patients ◽  
Community Transmission ◽  
Next Generation Sequencing Ngs ◽  
Epidemiological Link

In December 2019, the emergence of SARS-CoV-2 virus in China led to a pandemic. Since both Influenza Like Illness (ILI) and COVID-19 case definitions overlap, we re-investigated the ILI cases using PCR for the presence of SARS-CoV-2 in 739 nasopharyngeal swabs collected from November 2019 to March 2020. SARS-CoV-2 RNA was found in 37 samples (5%) collected mostly during February 2020. It was followed by confirmation of evolutionary and spatial relationships using next generation sequencing (NGS). We observed that the overall incidence of ILI cases during 2019–2020 influenza season was considerably higher than previous years and was gradually replaced with SARS-CoV-2, which indicated a silent transmission among ambulatory patients. Sequencing of representative isolates confirmed independent introductions and silent transmission earlier than previously thought. Evolutionary and spatial analyses revealed clustering in the GH clade, characterized by three amino acid substitutions in spike gene (D614G), RdRp (P323L) and NS3 (Q57H). P323L causes conformational change near nsp8 binding site that might affect virus replication and transcription. In conclusion, assessment of the community transmission among patients with mild COVID-19 illness, particularly those without epidemiological link for acquiring the virus, is of utmost importance to guide policy makers to optimize public health interventions. The detection of SARS-CoV-2 in ILI cases shows the importance of ILI surveillance systems and warrants its further strengthening to mitigate the ongoing transmission of SARS-CoV-2. The effect of NS3 substitutions on oligomerization or membrane channel function (intra- and extracellular) needs functional validation.

Usefulness of seroconversion rates for comparing infection pressures between countries

2010 ◽  
Vol 139 (4) ◽  
pp. 636-643 ◽  
Author(s):  
J. SIMONSEN ◽  
P. TEUNIS ◽  
W. VAN PELT ◽  
Y. VAN DUYNHOVEN ◽  
K. A. KROGFELT ◽  
...  
Keyword(s):  
Bayesian Method ◽  
Healthy Population ◽  
Surveillance Systems ◽  
National Surveillance ◽  
Serum Samples ◽  
Cross Sectional ◽  
Infection Pressure ◽  
Control Programmes ◽  
True Infection ◽  
Rate Ratios

SUMMARYSalmonella is a frequent cause of foodborne illness. However, since most symptomatic cases are not diagnosed, the true infection pressure is unknown. Furthermore, national surveillance systems have different sensitivities that limit inter-country comparisons. We have used recently developed methods for translating measurements of Salmonella antibodies into estimates of seroincidence: the frequency of infections including asymptomatic cases. This methodology was applied to cross-sectional collections of serum samples obtained from the general healthy population in three European countries. Denmark and The Netherlands had the lowest seroincidence (84169 infections/1000 person-years), whereas Poland had the highest seroincidence (547/1000 person-years). A Bayesian method for obtaining incidence rate ratios was developed; this showed a 6·3 (95% credibility interval 3·3–12·5) higher incidence in Poland than in Denmark which demonstrates that this methodology has a wider applicability for studies of surveillance systems and evaluation of control programmes.

scholarly journals A large outbreak of influenza A and B on a cruise ship causing widespread morbidity

2003 ◽  
Vol 130 (2) ◽  
pp. 263-271 ◽  
Author(s):  
J. M. L. BROTHERTON ◽  
V. C. DELPECH ◽  
G. L. GILBERT ◽  
S. HATZI ◽  
P. D. PARASKEVOPOULOS ◽  
...  
Keyword(s):  
Influenza Vaccination ◽  
Influenza A ◽  
Surveillance Systems ◽  
Cruise Ship ◽  
Influenza Like Illness ◽  
Antiviral Therapies ◽  
Intervention Measures ◽  
Large Outbreak ◽  
And Control ◽  
Control Study

In September 2000 an outbreak of influenza-like illness was reported on a cruise ship sailing between Sydney and Noumea with over 1100 passengers and 400 crew on board. Laboratory testing of passengers and crew indicated that both influenza A and B had been circulating on the ship. The cruise coincided with the peak influenza period in Sydney. Morbidity was high with 40 passengers hospitalized, two of whom died. A questionnaire was sent to passengers 3 weeks after the cruise and 836 of 1119 (75%) responded. A total of 310 passengers (37%) reported suffering from an influenza-like illness (defined as cough, fever, myalgia and weakness) and 528 (63%) had seen a doctor for illness related to the cruise. One-third of passengers reported receipt of influenza vaccination in 2000; however neither their rates of influenza-like illness nor hospitalization were significantly different from those in unvaccinated passengers. A case–control study also found no significant protective effect of influenza vaccination. With the increasing popularity of cruise vacations, such outbreaks are likely to affect increasing numbers of people. Whilst influenza vaccination of passengers and crew may afford some protection, uptake and effectiveness may not be sufficient to prevent outbreaks. Surveillance systems and early intervention measures, such as antiviral therapies, should be considered to detect and control such outbreaks.

scholarly journals Influenza‐like illness sentinel surveillance in one hospital in M edellin, C olombia. 2007–2012

2014 ◽  
Vol 9 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Ana Eugenia Arango ◽  
Sergio Jaramillo ◽  
Juan Perez ◽  
Julia S. Ampuero ◽  
David Espinal ◽  
...  
Keyword(s):  
Sentinel Surveillance ◽  
Influenza Like Illness

scholarly journals National surveillance for influenza and influenza-like illness in Vietnam, 2006−2010

Vaccine ◽  
2013 ◽  
Vol 31 (40) ◽  
pp. 4368-4374 ◽  
Author(s):  
Yen T. Nguyen ◽  
Samuel B. Graitcer ◽  
Tuan H. Nguyen ◽  
Duong N. Tran ◽  
Tho D. Pham ◽  
...  
Keyword(s):  
National Surveillance ◽  
Influenza Like Illness
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