Sander van Noort
Communication &
recruitment
Sander van Noort
Marijn de Bruin
Data analysis
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Sander van Noort
Fast-track the end of AIDS in the EU - practical evidence-based interventions.
Presentation by: Cary James, Terrence Higgins Trust
In a two-day meeting under the auspices of the Maltese Presidency of the Council of the European Union (30-31 January 2017), HIV experts from across the European Union discussed how to reverse this trend and how to prepare Europe to achieve the set target of ending AIDS by 2030.
Previous exposure to natural infection matters, Ulrike Baum - ESCAIDE 2018DRIVE research
Register-based cohort studies to estimate influenza vaccine effectiveness.
THL, the National Institute of Finland
Project Funding:
Integrated Monitoring of Vaccines in Europe (I-MOVE+)This project has received funding from the European Union’s H2020 research and innovation programme under grant agreement No 634446.
Development of Robust and Innovative Vaccines Effectiveness (DRIVE)This work has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777363.This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
Fast-track the end of AIDS in the EU - practical evidence-based interventions.
Presentation by: Cary James, Terrence Higgins Trust
In a two-day meeting under the auspices of the Maltese Presidency of the Council of the European Union (30-31 January 2017), HIV experts from across the European Union discussed how to reverse this trend and how to prepare Europe to achieve the set target of ending AIDS by 2030.
Previous exposure to natural infection matters, Ulrike Baum - ESCAIDE 2018DRIVE research
Register-based cohort studies to estimate influenza vaccine effectiveness.
THL, the National Institute of Finland
Project Funding:
Integrated Monitoring of Vaccines in Europe (I-MOVE+)This project has received funding from the European Union’s H2020 research and innovation programme under grant agreement No 634446.
Development of Robust and Innovative Vaccines Effectiveness (DRIVE)This work has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777363.This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
For more classes visit
www.snaptutorial.com
HSA 535 Week 11 Final Exam Part 2 -
1. Which of the following is not usually an aim of epidemiology?
2. Which of the following activities characterizes a clinical approach (as opposed to an epidemiologic approach)?
3. John Snow, author of Snow on Cholera:
4. Indicate the level of prevention that is represented by immunization against rubella
Madhav Marathe and Anil Vullikanti will present a tutorial on computational epidemiology, along with Thomas L. Phillips Professor of Engineering Naren Ramakrishnan, at the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining on August 24th, 2014 in New York City.
In this tutorial, the researchers will approach epidemics based on diffusion processes on complex networks, which are able to capture more realistic problems. They will provide a state of the art overview of computational epidemiology, a multi-disciplinary research area that overlaps different areas in computer science, including data mining, machine learning, high performance computing and theoretical computer science, as well as mathematics, economics and statistics.
Understanding zoonotic impacts: the added value from One Health approachesNaomi Marks
Presentation by Professor Jakob Zinsstag of the Swiss Tropical and Public Health Institute at the One Health for the Real World: zoonoses, ecosystems and wellbeing symposium, London 17-18 March 2016
A Conceptual Framework for Conducting and Integrated Vulnerability Assessment...Global Risk Forum GRFDavos
Presentation at 3rd GRF One Health Summit 2015
Poverty and Health - One Health Approaches for Sustainable Development
Esther Achieng ONYANGO, Griffith University School of Environment: Centre for Environment and Population Health and Environmental Research Futures Institute, Brisbane, Australia
Pestforecast: Surveillance and early warning systems for climate sensitive di...ILRI
Presentation by Hu Suk Lee at the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) annual meeting in Southeast Asia, Hanoi, Vietnam, 30 November 2016.
For more classes visit
www.snaptutorial.com
HSA 535 Week 11 Final Exam Part 2 -
1. Which of the following is not usually an aim of epidemiology?
2. Which of the following activities characterizes a clinical approach (as opposed to an epidemiologic approach)?
3. John Snow, author of Snow on Cholera:
4. Indicate the level of prevention that is represented by immunization against rubella
Madhav Marathe and Anil Vullikanti will present a tutorial on computational epidemiology, along with Thomas L. Phillips Professor of Engineering Naren Ramakrishnan, at the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining on August 24th, 2014 in New York City.
In this tutorial, the researchers will approach epidemics based on diffusion processes on complex networks, which are able to capture more realistic problems. They will provide a state of the art overview of computational epidemiology, a multi-disciplinary research area that overlaps different areas in computer science, including data mining, machine learning, high performance computing and theoretical computer science, as well as mathematics, economics and statistics.
Understanding zoonotic impacts: the added value from One Health approachesNaomi Marks
Presentation by Professor Jakob Zinsstag of the Swiss Tropical and Public Health Institute at the One Health for the Real World: zoonoses, ecosystems and wellbeing symposium, London 17-18 March 2016
A Conceptual Framework for Conducting and Integrated Vulnerability Assessment...Global Risk Forum GRFDavos
Presentation at 3rd GRF One Health Summit 2015
Poverty and Health - One Health Approaches for Sustainable Development
Esther Achieng ONYANGO, Griffith University School of Environment: Centre for Environment and Population Health and Environmental Research Futures Institute, Brisbane, Australia
Pestforecast: Surveillance and early warning systems for climate sensitive di...ILRI
Presentation by Hu Suk Lee at the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) annual meeting in Southeast Asia, Hanoi, Vietnam, 30 November 2016.
Travel-related infectious diseases on the rise
International travel has an important role in the transmission of emerging and re-emerging infectious diseases across geographical areas.
Since 1980, the world has been threatened by different waves of emerging disease epidemics.
In the twenty-first century, these diseases have become an increasing global concern because of their health and economic impacts in both developed and resource-constrained countries.
It is difficult to stop the occurrence of new pathogens in the future due to the interconnection among humans, animals, and the environment.
As many as 43%–79% of travelers to low- and middle-income countries become ill with a travel-related health problem.
Although most of these illnesses are mild, some travelers become sick enough to seek care from a health care provider.
steps in epidemic investigation
Prepare for field work
Confirm the existence of an outbreak
Verify the diagnosis and determine the etiology of the disease.
Define the population at risk
Develop case definition, start case finding, and collect information on the cases(after choosing study design)
Describe person, place and time (by questionnaire)
Evaluation of ecological factors
Formulate several possible hypothesis hypotheses.
Test hypotheses using analytical study
Refine hypotheses and carry out additional studies
Draw conclusions to explain the causes or determinants of outbreak based on clinical, laboratory, epidemiological & environmental evidence
Report and recommend appropriate control measures to concerned authorities at the local/national, and if appropriate at international levels
Communication of the findings
Follow up of the recommendation to assure implementation of control measures
emerging and re-emerging vector borne diseasesAnil kumar
this presentation in about emerging and re-emerging vector borne diseases and their spatial spread with reference to time, surveillance, monitoring and management program and other difficulties and suggestions for program
Week 4: Week 4 - Epidemiology—Introduction
Epidemiology—Introduction
The study of epidemics is epidemiology. Its primary focus is on the distribution and causes of disease in populations. Epidemiology involves developing and testing ways to prevent and control disease by studying its origin, spread, and vulnerabilities.
As a discipline, epidemiologic research addresses a variety of health-related questions of societal importance. Epidemiologic research methods are used by clinical investigators and scientists who conduct observational and experimental research on the prevention and treatment of disease.
The Cholera epidemic, a case from the 19th century, was enabled by the global movement of people. Having appeared in India in 1817, it spread throughout Asia and the Middle East within a decade. It was reported in Moscow in 1830 and then spread to Warsaw, Hamburg, Berlin, and London in 1831 (Snow, 1855, 2002). When it crossed the Atlantic to reach North America, Cholera gained the notoriety of the first truly global disease.
The modern day world is dominated by free trade and rapid transportation. An unprecedented rate of global interchange of food, consumer products, and organisms—including humans—is occurring. The threat of pandemics in the 21st century has heightened the importance of epidemiology at national and international levels.
Although diseases such as Influenza A (H1N1), Severe Acute Respiratory Syndrome (SARS), Acquired Immunodeficiency Syndrome (AIDS), West Nile Virus, Salmonella, are commonly recognized as epidemics, as they cause large scale disruption of health in populations. The field of epidemiology also addresses epidemics of obesity (Ogden et al., 2007), diabetes (Zimmet, 2001), mental health (Insel & Fenton, 2005), and any other disease that may cause large scale disruption of health in populations.
In general, there are ten stages to an outbreak investigation:
1. Investigation preparation
2. Outbreak confirmation
3. Case definition
4. Case identification
5. Descriptive epidemiology
6. Hypothesis generation
7. Hypothesis evaluation
8. Environmental studies
9. Control measures
10. Information dissemination
Investigation preparation requires a health crisis manager to identify a team of professionals who will lead the outbreak investigation, review the scientific literature, and notify local, state, and national organizations of the potential outbreak.
Outbreak confirmation requires actual laboratory confirmation of the disease, which may involve the collection of blood, urine, and stool samples from ill people and performing bacteriologic, virologic, or parasitic testing of those samples.
Case definition is the process by which we establish a set of standard criteria to determine who is and is not infected with respect to a specific outbreak; that is, a protocol is developed to determine case patients.
Case identification requires the health crisis manager and team of professionals to conduct a systematic and organize.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Carl koppeschaar: Disease Radar: Measuring and Forecasting the Spread of Infectious Diseases and Zoonoses
1. One Lunar Health
One Lunar Health
Carl Koppeschaar
BDPH 56, Moon City, 25 October 2069
2. Energy crisis
•
•
•
•
Needed in 2080/90: 98 TW energy
Available: 90 TW
Possible end of industrial development
Solution: extraterrestrial energy source
22. One Alien Health …
There might be zillions of
viruses and other pathogens
out there!
23. Disease Radar: self-reported participatory surveillance for influenza
and other diseases.
Carl Koppeschaar
Big Data and Public Health, Rio de Janeiro – October 25, 2013
25. Project to raise the public
awareness on flu
Interactive and participatory combination of
science and communication informing the
general audience on influenza
Inviting people to become ‘flu-reporters’,
filling in their health status voluntarily every
week in order to help researchers in finding
more information on the spread of the
influenza virus
27. How to keep participants ?
Weekly newsletters with the latest ‘flu news’
Informative website: offering ‘flu news’, ‘flu games’,
background information, expert interviews, free
educational material at all levels for downloading, etc.
Focus on different target groups: laymen, press, school
children and their teachers, families, and to a smaller
extent, professional health care workers
Communicate results: participants help scientists
Reliable and easily accessible information: expert
proven information, maps and graphs
28.
29. Fast and simple survey
Single intake
questionnaire:
Postal code
Age
Weekly newsletter
+ personal
symptom’s
questionnaire:
Symptoms
Smoker
−
Cough
Transportation
−
Fever
Vaccine
−
Sneezing
Allergy
−
Muscle pain
−
...
…
…
Start of symptoms
GP consultation
37. Risk groups in smoking, chronic diseases, but
not in terms of transport means!
Significantly more ILI in:
• children: OR = 1.8 [1.7-2.0]
• parents: OR = 1.4 [1.4-1.5]
43. Bias in GP’s reporting (1)
Visits many days after start of illness
44. Bias in GP’s reporting (2)
Seniors more often visit their GP
45. Bias in GP’s reporting (3)
Changes in visits to GP due to media
reporting (2009 pandemic)
46. Faster than GP’s sentinel posts
The Netherlands: on average more than 2 weeks
A country like the US would
need at least 400,000
participants to obtain similar
results!
How many subgroups of the
population do we need to
obtain reliable results?
47. What can still be improved?
1. Number of participants
2. Daily reporting
3. Children
Number of
participants
per country
Number of participants
48. Italy: Low reliability at
0.002% of the population
Daily reporting
1. Number of participants
2.
3. Children
Number of participants
49. Netherlands and Belgium: e-mail reminders
+ news letters sent out through the week
Number of participants
51. From west to east and from south to north
Paget WJ, Marquet R, Meijer A, Van der Velden J: Influenza activity in Europe during eight seasons (1999-2007): an
evaluation of the indicators used to measure activity and an assessment to the timing, lenght and course of peak
activity (spread) across Europe. BMC Infectious Diseases, 2007; 7: 141.
52. What is the true role of transportation?
Khan, Arino, Hu, Raposo, Sears,
Calderon, et al.: Spread of a novel
influenza A (H1N1) virus via global
airline transportation. N. Engl. J.
Med. 361(2): 212–4. 2009.
Van den Broeck, Gioannini, Gonçalves, Quaggiotto, Colizza, Vespignani: The
GLEaMviz computational tool, a publicly available software to explore realistic epidemic
spreading scenarios at the global scale. BMC Infect. Dis. 11:37. 2011.
Sander van Noort, De Grote Griepmeting/Gripenet
53. How does seasonal flu spread?
1.
2.
3.
4.
Nursery school (crèche, Kindergarten)
Brothers and sisters => primary schools
Mothers (traditional role)
Fathers (commuters)
Sander van Noort
54. Seasonal flu as a winter disease
Lipid ordering may contribute to viral stability at lower
temperatures which is critical for airborne transmission
Sander van Noort
Flu viruses survive longer and are more easily transmitted
when humidity levels are low
56. Do Earth’s seasons cause a
“flu conveyor belt”?
Rambaut, Pybus, Nelson, Viboud, Taubenberger, Holmes:The genomic and
epidemiological dynamics of human influenza A virus. Nature 453 (7195):
615–9. 2008.
Bahl, Nelson, Chan, et al. Temporally structured
metapopulation dynamics and persistence of influenza
A H3N2 virus in humans. Proc Natl. Acad Sci. USA
108(48):19359–64. 2011.
57. Data on tropical influenza remain scarce!
• Influenza is quite likely to be
under-reported in the tropics
because there are so many
other more serious diseases.
• Flu is often being mistaken for
malaria in the tropics.
• Assumptions about the low
impact of flu in the tropics
may also be due to outbreaks
which happen at
unpredictable and irregular
intervals.
• In most tropical countries
collecting data is not easy.
Cécile Viboud, Wladimir J. Alonso,
Lone Simonsen: Influenza in Tropical
Regions. PLoS Medicine, March 7,
2006.
61. “A multidisciplinary research effort aimed at developing the
appropriate framework of tools and knowledge needed for
the design of epidemic forecast infrastructures to be used
by epidemiologists and public health scientists.”
70. Where to focus next?
• Contact paterns
Mobile apps, Facebook, Twitter
• Swabs for virology
Sweden, Belgium 2012
• Survey: social and societal impacts of outbreaks of re-emerging
infectious diseases (proposal phase)
• Cooperation with non-European countries
VS (Flu Near You), Australia (Flu Tracking)… Central America, Brasil,
Asia, India, Africa
• One Health approach
Human (infectious) diseases, slow epidemics, zoonoses
73. International conferences
Digital Disease Detection I, Harvard Medical School,
Boston, USA
International Workshop on Participatory Surveillance I,
San Francisco, USA
Prince Mahidol Award Conference 2013, Bangkok,
Thailand
4th International Meeting on Emerging Diseases and
Surveillance - IMED 2013, Vienna, Austria
International Workshop on Participatory Surveillance II,
Amsterdam, the Netherlands
WWW 2013 - Participatory Health in the Digital Age, Rio
de Janeiro, Brasil
International Workshop on Digital Epidemiology, Torino,
Italy
EPIHACK, Phnom Penh, Cambodia
Digital Disease Detection II, San Francisco, USA
Big Data and Public Health, Rio de Janeiro, Brasil
74. International Workshop on
Participatory Surveillance, July 2012
Larry
Brilliant
“I am thrilled! I’m
witnessing the
birth of a new
science.
I foresee a whole
new magazine,
on self-reported
participatory
surveillance."
75. 2nd International Participatory
2nd International Workshop onWorkshop
Surveillance (IWOPS 2), Amsterdam, April 2013
on Participatory Surveillance
Influenzanet (EU) – Flu AMSTERDAM, 15-17 APRIL 2013
Near You (USA) – Flutracking (Australia)
82. GLM- Real Time Monitoring of
Community Acquired Pneumonia
Week 1 2013
Week 2 2013
Week 3 2013
Week 4 2013
83. GLM : Goals
Scientific goals:
• Early detection of abnormal repiratory infectious “outbreaks”
• Measuring the impact of CAP in the Dutch population
• Exploring seasonal influences on infectious respiratory disease
• Exploring effect of pneumococcal vaccination on disease impact
Public information goal:
• Informing patients and health care workers on infectious respiratory disease
84. GLM - Figures
•
24 Months online
• 1,724 unique participants
• 35 % female, 65% male
• Mean age 66 yrs (SD 17)
• 13,000 measurements
85. GLM – Take home messages
• Real time monitoring system for Community Acquired Pneumonia
• Possible tool for early detection of legionella and Q-fever
• Scientific analyses in progress: Publication of 1st results Dec. 2013
More info (Dutch): www.degrotelongontstekingmeting.nl
86. GLM - Team
Carl Koppeschaar
Science & content
Antwan Wiersma
Webmaster &
technical support
Ronald
Smallenburg
Finance &
organisation
Dirk-Jan Enklaar
Analyses & reports
Advisory Board: Prof. Dr. Marc J.M. Bonten, Dr. Menno M. van der Eerden, Prof.dr. Jan C. Grutters, Dr.
René E. Jonkers, Prof. Dr. Mattijs E. Numans, Prof. Dr. Jan M. Prins, Prof. Dr. Theo M.J. Verheij
87.
88. “Disease radar”
(Infectious) diseases & behaviour
1. Self diagnosis
2. Surveillance of pertussis and mumps
(waning immunities), Lyme, hay
fever, norovirus, Q fever, etc.
3. Stress related to labor, slow
epidemics (obesity)
4. Medication and side effects
89. Real time
maps
Prediagnostic
tool
(in close cooperation
with the Dutch
College of General
Practitioners (NHG)
Lifestyle
Test yourself
Medical
encyclopedia
Mobile app
Discussion
forum
Top ten of
health issues
90. Also includes zoonoses
Over 60% of human
pathogens originate
from animals: influenza
virus H5N1, H3N7,
anthrax, SARS, HIV,
leptospirosis, rabies,
Lyme, Nipah virus,
dengue, malaria,
hantavirus, MERS
coronavirus, …
92. With our Disease Radar we want to build an
Online Health Community
Robust system
Integrated:
• Participatory
National institute for Public Health
• Real time
Community Health Services
• Geographic information
College of General Practitioners
• Integrated
Ministry of Health
• Threat verification
ProMed, HealthMap, CORDS
• Early signal detection
CDC, ECDC, WHO, FAO
95. Threat verification (3)
Q fever in the Netherlands
Retrospective analysis of hospital discharge data [van den Wijngaard et al.
2011 Epi. & Inf.] showed several plausible Q-fever clusters preceding the
recognised beginning of the outbreak in 2007, 2006 and even in 2005,
suggesting that had real-time syndromic surveillance been in place, the Qfever clusters could have been detected up to two years earlier.
> 4,000 sick
19 fatal
> 800 chronic
98. Sustainability
Disease Radar could have been in operation more than a
year ago should we have had the proper funding!
• Government
Economic crisis
• Pharmaceutical companies
Less money available for PR
• Advertising
Small money
• Grants
Zoosurv in the Netherlands?
• Health insurance companies
Millions of insured persons
• Foundations
These could help a lot
99. References
R.L. Marquet, A.I.M. Bartelds, S.P. van Noort, C.E. Koppeschaar, J. Paget, F.G. Schellevis, J. van
der Zee: Internet-based monitoring of influenza-like illness (ILI) in the general population of
the Netherlands during influenza seasons 2003-2004, BMC Public Health 2006, 6:242.
S.P. van Noort, M. Muehlen, H. Rebelo de Andrade, C. Koppeschaar, J.M. Lima Lourenço,
M.G.M. Gomes: Gripenet: an internet-based system to monitor influenza-like illness
uniformly across Europe, Eurosurveillance, Volume 12, Issue 7-8, July/August, 2007.
IHM Friesema, CE Koppeschaar, GA Donker, F Dijkstra, SP van Noort, R Smallenburg, W van
der Hoek, MAB van der Sande: Internet-based monitoring of influenza-like illness in the
general population: experience of five influenza seasons in the Netherlands, Vaccine,
Volume 27, Number 45, 23 October 2009, pp. 6353-6357. ISSN 0264-410X.
Sander P. van Noort, Ricardo Águas, Flávio Coelho, Cláudia Codeço, Daniela Paolotti, Carl E.
Koppeschaar & M. Gabriela M. Gomes: Influenzanet: ILI trends, behaviour and risk factors in
cohorts of internet volunteers, 2003 - 2013. In revision.
Marit M.A. de Lange, Adam Meijer, Ingrid H.M. Friesema, Gé A. Donker, Carl E. Koppeschaar,
Wim van der Hoek: Comparison of five surveillance systems of influenza-like illness during
the influenza A(H1N1)pdm09 virus pandemic and their link to media attention. BMC Public
Health, 2013, 13:881 doi:10.1186/1471-2458-13-881.
Paolo Bajardi, Daniela Paolotti, Lorenzo Richiardi, Alessandro Vespignani, Sebastian Funk, Ken
Eames, John Edmunds, Clement Turbelin, Marion Debin, Vittoria Colizza, Ronald Smallenburg,
Carl Koppeschaar, Ana Franco, Vitor Faustino, Annasara Carnahan: Effect of recruitment
methods on attrition in Internet-based studies. Submitted.