scholarly journals Lesson Learned from the Emergence of Influenza Pandemic H1N1 in 2009 in Indonesia: The Importance of Influenza-Like Illness (ILI) Surveillance

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Roselinda ◽  
Eka Pratiwi ◽  
Agustiningsih ◽  
Vivi Setiawaty
Keyword(s):  
Influenza A ◽  
Influenza Pandemic ◽  
Health Centers ◽  
Pandemic H1n1 ◽  
Community Based ◽  
Surveillance Network ◽  
Influenza Like Illness ◽  
Influenza Outbreaks ◽  
H1n1 Outbreak ◽  
Virus Influenza

Background. In 2009 there were outbreaks of influenza pandemic H1N1 in Indonesia that were caused by different virus from the previous circulated H1N1. Further, the influenza-like illness (ILI) surveillance plays an important role in the early detection of influenza outbreaks in outpatients. To understand the disease burden of ILI in the community at the time of H1N1 pandemic 2009, a sentinel-based survey was performed. Methods. The nasal and throat swabs were obtained from 20 primary health centers of ILI sentinel in Indonesia in 2009. Identification of virus influenza pandemic H1N1 was carried out by real-time RT-PCR using primers that are specific for influenza A. Results. Out of 3254 ILI cases from community-based ILI surveillance in 2009, 11.03% cases were Influenza A positive and 42.59% cases were influenza pandemic H1N1. The first influenza pandemic HINI case was detected at week 15 in April, a case from the province of Banda Aceh, reaching a peak in August and ending at week 44 in November of 2009. Conclusion. The influenza pandemic H1N1 outbreak was detected in ILI surveillance network in Indonesia. This outbreak lasted for eight months which was the final wave of the influenza pandemic H1N1 in the world.

scholarly journals Children under 10 years of age were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic in Canada: ‎possible cohort effect following the 2009 influenza pandemic

2019 ◽  
Vol 24 (15) ◽  
Author(s):  
Danuta M Skowronski ◽  
Siobhan Leir ◽  
Gaston De Serres ◽  
Michelle Murti ◽  
James A Dickinson ◽  
...  
Keyword(s):  
General Population ◽  
Influenza A ◽  
Influenza Pandemic ◽  
Age Distribution ◽  
Cohort Effect ◽  
Surveillance Network ◽  
Medical Visits ◽  
Influenza A H1n1 ◽  
2009 Influenza Pandemic ◽  
Negative Controls

Introduction Findings from the community-based Canadian Sentinel Practitioner Surveillance Network (SPSN) suggest children were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic. Aim To compare the age distribution of A(H1N1)pdm09 cases in 2018/19 to prior seasonal influenza epidemics in Canada. Methods The age distribution of unvaccinated influenza A(H1N1)pdm09 cases and test-negative controls were compared across A(H1N1)pdm09-dominant epidemics in 2018/19, 2015/16 and 2013/14 and with the general population of SPSN provinces. Similar comparisons were undertaken for influenza A(H3N2)-dominant epidemics. Results In 2018/19, more influenza A(H1N1)pdm09 cases were under 10 years old than controls (29% vs 16%; p < 0.001). In particular, children aged 5–9 years comprised 14% of cases, greater than their contribution to controls (4%) or the general population (5%) and at least twice their contribution in 2015/16 (7%; p < 0.001) or 2013/14 (5%; p < 0.001). Conversely, children aged 10–19 years (11% of the population) were under-represented among A(H1N1)pdm09 cases versus controls in 2018/19 (7% vs 12%; p < 0.001), 2015/16 (7% vs 13%; p < 0.001) and 2013/14 (9% vs 12%; p = 0.12). Conclusion Children under 10 years old contributed more to outpatient A(H1N1)pdm09 medical visits in 2018/19 than prior seasonal epidemics in Canada. In 2018/19, all children under 10 years old were born after the 2009 A(H1N1)pdm09 pandemic and therefore lacked pandemic-induced immunity. In addition, more than half those born after 2009 now attend school (i.e. 5–9-year-olds), a socio-behavioural context that may enhance transmission and did not apply during prior A(H1N1)pdm09 epidemics.

scholarly journals Peranan Gejala Klinis dan Pemeriksaan Darah Tepi dalam Diagnosis Dini Influenza pada Pasien dengan Gejala Influenza Like Illness

2017 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Adityo Susilo ◽  
Suhendro Suwarto ◽  
Iris Rengganis ◽  
Kuntjoro Harimurti
Keyword(s):  
Negative Predictive Value ◽  
Predictive Value ◽  
Influenza A ◽  
Prevalence Ratio ◽  
Influenza Like Illness ◽  
Diagnostic Research ◽  
Virus Influenza

Pendahuluan. Influenza merupakan penyakit infeksi yang disebabkan oleh virus influenza. Pada manusia, influenza sering menimbulkan penyakit pernapasan akut dengan manifestasi klinis berupa influenza like illness. Penegakkan diagnosis influenza seringkali sulit oleh karena manifestasi klinis yang tidak khas. Demam disebut sebagai gejala klinis terpenting dan limfopenia didapatkan sebagai suatu temuan laboratoris yang konsisten. Usaha untuk mengetahui proporsi dan mengelaborasi gejala klinis dan pemeriksaan darah tepi sederhana diperkirakan dapat meningkatkan probabilitas diagnosis influenza.Tujuan. Mengetahui proporsi influenza serta mengevaluasi peranan gejala klinis dan pemeriksaan laboratorium sederhana pada pasien penyakit pernapasan akut dengan influenza like illness sehingga dapat digunakan sebagai faktor prediktif terhadap diagnosis influenza.Metode. Studi potong lintang berbasis diagnostic research pada pasien penyakit pernapasan akut dewasa dengan gejala influenza like illness di Puskesmas Kecamatan Pulo Gadung dan Puskesmas Kelurahan Rawamangun antara Maret hingga Juni 2011. Spesimen analisis virus menggunakan bahan apus nasofaringeal, dengan teknik analisis PCR kualitatif dan imunokromatografi antigen.Hasil. Dari 90 orang subyek penelitian didapatkan 13 orang (14,4%) terbukti terinfeksi virus influenza A melalui teknik PCR. Variabel demam menunjukkan hasil uji kemaknaan yang signifikan terhadap influenza (p 0,003) dengan prevalence ratio 6,28 (95% CI 1,476-26,759). Sensitifitas demam, batuk dan pilek terhadap influenza masing-masing adalah 85% dan negative predictive value demam sebesar 98%. Variabel determinan lainnya tidak menunjukkan hasil yang bermakna terhadap influenza pada uji kemaknaan statistik.    Simpulan. Proporsi influenza pada pasien dengan gejala ILI diperoleh cukup tinggi dengan proporsi demam yang terbukti lebih tinggi pada pasien influenza. Sensitivitas demam, batuk dan pilek terhadap influenza tinggi dengan negative predictive value yang memuaskan untuk seluruh variabel determinan. 

scholarly journals Pandemic H1N1 influenza: predicting the course of a pandemic and assessing the efficacy of the planned vaccination programme in the United States

2009 ◽  
Vol 14 (41) ◽  
Author(s):  
S Towers ◽  
Z Feng
Keyword(s):  
United States ◽  
Influenza A ◽  
Influenza Pandemic ◽  
Vaccination Campaign ◽  
H1n1 Influenza ◽  
The United States ◽  
Pandemic H1n1 ◽  
Pandemic H1n1 Influenza ◽  
Influenza A H1n1 ◽  
Control And Prevention

We use data on confirmed cases of pandemic influenza A(H1N1), disseminated by the United States Centers for Disease Control and Prevention(US CDC), to fit the parameters of a seasonally forced Susceptible, Infective, Recovered (SIR) model. We use the resulting model to predict the course of the H1N1 influenza pandemic in autumn 2009, and we assess the efficacy of the planned CDC H1N1 vaccination campaign. The model predicts that there will be a significant wave in autumn, with 63% of the population being infected, and that this wave will peak so early that the planned CDC vaccination campaign will likely not have a large effect on the total number of people ultimately infected by the pandemic H1N1 influenza virus.

scholarly journals Community transmission of influenza A (H1N1)v virus at a rock festival in Belgium, 2-5 July 2009

2009 ◽  
Vol 14 (31) ◽  
Author(s):  
I Gutiérrez ◽  
A Litzroth ◽  
S Hammadi ◽  
H Van Oyen ◽  
C Gérard ◽  
...  
Keyword(s):  
Surveillance System ◽  
Influenza A ◽  
Influenza Pandemic ◽  
Control Measures ◽  
Influenza Like Illness ◽  
Health Authorities ◽  
Influenza A H1n1 ◽  
Community Transmission ◽  
And Control

On 6 July 2009 the Belgian enhanced surveillance system for influenza-like illness among travellers returning from influenza A(H1N1)v affected areas detected a case linked to a rock festival which took place on 2-5 July. The health authorities implemented communication and control measures leading to the detection of aditional cases. This paper describes the outbreak and its impact on the management of the influenza pandemic in Belgium.

scholarly journals Clinical impact of influenza – lessons learnt from the pandemic influenza A (H1N1) 2009

2011 ◽  
Vol 32 (1) ◽  
pp. 29
Author(s):  
Alex Dierig ◽  
Gulam Khandaker ◽  
Robert Booy
Keyword(s):  
Clinical Features ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Influenza Pandemic ◽  
Gastrointestinal Symptoms ◽  
H1n1 Influenza ◽  
World Health ◽  
Pandemic H1n1 ◽  
Pandemic H1n1 Influenza ◽  
Influenza A H1n1

Influenza is generally an acute, self-limiting, febrile illness without further complications in the majority of people. However, it can be associated with severe morbidity and mortality and the burden of the disease on society is likely to be underestimated. In 2009 an outbreak of H1N1 influenza A virus infection was detected in Mexico with further cases soon observed worldwide. Subsequently, in June 2009, the first influenza pandemic of the 21st century due to influenza A (H1N1) was declared by the World Health Organization (WHO). There were many uncertainties regarding the virulence, clinical symptoms and epidemiological features of this newly evolved influenza A strain. Over time, many similarities, but also some differences between the pandemic H1N1 influenza A and seasonal influenza were identified. We recently performed a systematic review of the literature, looking at articles published between 1 April 2009 and 31 January 2010, to identify the epidemiological and clinical features of the pandemic H1N1 influenza. In this current article we compare our findings with others from the international literature. There was more severe impact on young and healthy adults, children, pregnant women and the obese. Clinical features in general were similar between seasonal and pandemic influenza; however, there were more gastrointestinal symptoms associated with pandemic H1N1 influenza. Shortness of breath was characteristic of more severe pH1N1 2009 infection with a higher possibility of being admitted to an intensive care unit (ICU).

An Empirical Analysis of Extended Meanings of Lexical Items in a H1N1 Corpus

2014 ◽  
Vol 4 (3) ◽  
pp. 52-67
Author(s):  
Jessie Yi-jia Wang
Keyword(s):  
Language Learners ◽  
Influenza A ◽  
Influenza Pandemic ◽  
Virus Transmission ◽  
Pandemic H1n1 ◽  
High Exposure ◽  
Lexical Items ◽  
Semantic Prosody ◽  
Keyword List ◽  
Virus Subtype

The year 2009 has witnessed a global outbreak of a new strain of influenza A virus subtype H1N1. Despite the high exposure on the mass media, few researches have been conducted on the discourse related to the H1N1 event. This study examined six frequently-occurred lexical items in a pandemic (H1N1) corpus: influenza, pandemic, cases, virus, transmission and death, using Sinclair's (2004) descriptive model of lexical items. WordSmith 5.0 (Scott, 2010) was used to generate a keyword list and concordances. The randomly-selected concordances were then analysed from five perspectives, the core, collocation, colligation, semantic preference and semantic prosody. The findings show that the extended meanings of the lexical items are specific in the context of pandemic H1N1 event and they are interrelated in the context. It is argued that it is the study of lexical items rather than single words that enables language learners to better understand the meanings of words.

scholarly journals 686. Use of an Influenza-Like Illness School Absenteeism Monitoring System to Identify Seasonal Influenza Outbreaks in the Community: ORCHARDS (Wisconsin, September 2014–June 2017)

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S248-S248
Author(s):  
Jonathan Temte ◽  
Yenlik Zheteyeva ◽  
Shari Barlow ◽  
Maureen Goss ◽  
Emily Temte ◽  
...  
Keyword(s):  
Lead Time ◽  
Influenza A ◽  
Seasonal Influenza ◽  
Influenza B ◽  
Linear Regression Models ◽  
Rt Pcr ◽  
Human Influenza Virus ◽  
Influenza Like Illness ◽  
K 12 ◽  
Influenza Outbreaks

Abstract Background Schools are purported to be primary venues of influenza transmission and amplification with secondary spread to communities. We assessed K—12 student absenteeism monitoring as a means for early detection of influenza activity in the community. Methods. We conducted a 3-year, prospective observational study of all-cause (a-TOT), illness-associated (a-I), and influenza-like illness-associated (a-ILI) absenteeism within the Oregon School District, Oregon, WI (OSD: enrollment = 3,900 students). Absenteeism reporting was facilitated by automated processes within OSD’s electronic student information system. Students were screened for ILI, and, if eligible, visited at home, where pharyngeal specimens were collected for influenza RT-PCR (IVD CDC Human Influenza Virus RT-PCR Diagnostic Panel) and multipathogen testing (Luminex NxTAG RPP). The study definition of a-ILI was validated for 700 children with acute respiratory infections using binomial logistic regression. Surveillance of medically attended laboratory-confirmed influenza (MAI) occurred in five primary care clinics in and adjoining OSD as part of the Wisconsin Influenza Incidence Surveillance Project using the same laboratory testing. Poisson general additive log linear regression models of daily counts of absenteeism and MAI were compared using correlation analysis. Results. Influenza A and B were detected in 54 and 51 of the 700 visited students, respectively. Influenza was significantly associated with a-ILI status (OR = 4.74; 95% CI: 2.78—8.18; P &lt; 0.001). Of MAI patients, 371 had influenza A and 143 had influenza B. a-I was significantly correlated with MAI in the community (r = 0.472; P &lt; 0.001) with a 15-day lead time. a-ILI was significantly correlated with MAI in the community (r = 0.480; P &lt; 0.001) with a 1-day lead time. a-TOT performed poorly (r = 0.278; P &lt; 0.001), following MAI by 9 days (Figure 1). Conclusion. Surveillance using cause-specific absenteeism was feasible to implement in OSD and performed well over a 3-year period marked by diverse presentations of seasonal influenza. Monitoring a-I and a-ILI can detect influenza outbreaks in the community, providing early warning in time for community mitigation efforts for seasonal and pandemic influenza. Disclosures All authors: No reported disclosures.

scholarly journals Pandemic-related health behavior: repeat episodes of influenza-like illness related to the 2009 H1N1 influenza pandemic

2017 ◽  
Vol 145 (12) ◽  
pp. 2611-2617 ◽  
Author(s):  
O. MGBERE ◽  
K. NGO ◽  
S. KHUWAJA ◽  
M. MOUZOON ◽  
A. GREISINGER ◽  
...  
Keyword(s):  
Influenza A ◽  
Influenza Pandemic ◽  
Age Groups ◽  
Future Research ◽  
Surveillance Program ◽  
Care Seeking ◽  
Influenza Like Illness ◽  
Influenza A H1n1 ◽  
Data Source ◽  
Return Visits

SUMMARYThe Houston Health Department (HHD) in Texas tracks influenza-like illness (ILI) in the community through its Influenza Sentinel Surveillance Program, which began in 2008. After the influenza A(H1N1) pandemic (pH1N1) in 2009, investigators sought to assess the feasibility of this program as a non-traditional data source for tracking and monitoring care-seeking activities. Through the process of characterizing and describing patients who had ‘return visits’, or who were considered the heaviest ILI-related care-utilizers, the investigators sought to understand the strengths and limitations of this data source. Data used for this study were obtained from a multispecialty clinic in Houston, Texas between August 2008 and January 2011 across three phases: pre-pH1N1, pH1N1, and post-pH1N1. The data, which comprised of 4047 patient visits, yielded 150 return visits. We found an increase in the number of visits for ILI and proportion of return visits during the pandemic phase (pH1N1), as well as differences in the likelihood of a return visit between genders and age groups. More broadly, the findings of this study provide important considerations for future research and expose important gaps in using surveillance data to assess sick-role behaviors.

Identification, Management, and Clinical Characteristics of Hospitalized Patients with Influenza-Like Illness during the 2009 H1N1 Influenza Pandemic, Cook County, Illinois

2011 ◽  
Vol 32 (10) ◽  
pp. 998-1002 ◽  
Author(s):  
Kristen E. Metzger ◽  
Stephanie R. Black ◽  
Roderick C. Jones ◽  
Shaun R. Nelson ◽  
Ari Robicsek ◽  
...  
Keyword(s):  
Emergency Department ◽  
Sore Throat ◽  
Influenza A ◽  
Clinical Characteristics ◽  
Influenza Pandemic ◽  
Healthcare Providers ◽  
Hospitalized Patients ◽  
Cook County ◽  
Influenza Like Illness ◽  
2009 H1n1

Objective.To describe the identification, management, and clinical characteristics of hospitalized patients with influenza-like illness (ILI) during the peak period of activity of the 2009 pandemic strain of influenza A virus subtype H1N1 (2009 H1N1).Design.Retrospective review of electronic medical records.Patients and Setting.Hospitalized patients who presented to the emergency department during the period October 18 through November 14, 2009, at 4 hospitals in Cook County, Illinois, with the capacity to perform real-time reverse-transcriptase polymerase chain reaction testing for influenza.Methods.Vital signs and notes recorded within 1 calendar day after emergency department arrival were reviewed for signs and symptoms consistent with ILI. Cases of ILI were classified as recognized by healthcare providers if an influenza test was performed or if influenza was mentioned as a possible diagnosis in the physician notes. Logistic regression was used to determine the patient attributes and symptoms that were associated with ILI recognition and with influenza infection.Results.We identified 460 ILI case patients, of whom 412 (90%) had ILI recognized by healthcare providers, 389 (85%) were placed under airborne or droplet isolation precautions, and 243 (53%) were treated with antiviral medication. Of 401 ILI case patients tested for influenza, 91 (23%) had a positive result. Fourteen (3%) ILI case patients and none of the case patients who tested positive for influenza had sore throat in the absence of cough.Conclusions.Healthcare providers identified a high proportion of hospitalized ILI case patients. Further improvements in disease detection can be made through the use of advanced electronic health records and efficient diagnostic tests. Future studies should evaluate the inclusion of sore throat in the ILI case definition.

scholarly journals Influenza A(H1N1)pdm09 outbreak detected in inter-seasonal months during the surveillance of influenza-like illness in Pune, India, 2012–2015

2017 ◽  
Vol 145 (9) ◽  
pp. 1898-1909 ◽  
Author(s):  
Y. K. GURAV ◽  
M. S. CHADHA ◽  
B. V. TANDALE ◽  
V. A. POTDAR ◽  
S. D. PAWAR ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Influenza A ◽  
Reproduction Number ◽  
Nasal Discharge ◽  
Age Group ◽  
Community Based ◽  
Influenza Like Illness ◽  
Seasonal Factors ◽  
Influenza A H1n1 ◽  
Influenza Activity

SUMMARYAn outbreak of influenza A(H1N1)pdm09 was detected during the ongoing community-based surveillance of influenza-like illness (ILI). Among reported 119 influenza A(H1N1)pdm09 cases (59 cases in the year 2012 and 60 cases in 2015) in summer months, common clinical features were fever (100%), cough (90·7%), sore throat (85·7%), nasal discharge (48·7%), headache (55·5%), fatigue (18·5%), breathlessness (3·4%), and ear discharge (1·7%). Rise in ILI cases were negatively correlated with the seasonal factors such as relative humidity (Karl Pearson's correlation coefficient, i.e. r = −0·71 in the year 2012 and r = −0·44 in the year 2015), while rise in ILI cases were positively correlated with the temperature difference (r = 0·44 in the year 2012 and r = 0·77 in the year 2015). The effective reproduction number R, was estimated to be 1·30 in 2012 and 1·64 in 2015. The study highlights the rise in unusual influenza activity in summer month with high attack rate of ILI among children aged ⩽9 years. Children in this age group may need special attention for influenza vaccination. Influenza A(H1N1)pdm09 outbreak was confirmed in inter-seasonal months during the surveillance of ILI in Pune, India, 2012–2015.

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