Using google trends to estimate the incidence of influenza-like illness in Argentina;Uso da ferramenta google trends para estimar a incidência de síndrome gripal na Argentina;Uso de la herramienta google trends para estimar la incidencia de enfermedades tipo influenza en Argentina

Cadernos de Saude Publica

Volumn 31, Issue 4, 2015, Pages 691-700

  Orellano, Pablo Wenceslao ^a   Reynoso, Julieta Itatí ^b   Antman, Julián ^c   Argibay, Osvaldo ^c  

^a INSTITUTO NACIONAL DE TECNOLOGÍA INDUSTRIAL   (Argentina)

^b Hosp Interzonal Gen Agudos Evita   (Argentina)

^c National Ministry of Health   (Argentina)

Author keywords

Epidemiologic models; Human influenza; Incidence

Indexed keywords

ARGENTINA; HEALTH SURVEY; HUMAN; INCIDENCE; INFECTION CONTROL; INFLUENZA, HUMAN; INTERNET; POISSON DISTRIBUTION; PROCEDURES; SEARCH ENGINE; STATISTICS AND NUMERICAL DATA;

ARGENTINA; DISEASE NOTIFICATION; HUMANS; INCIDENCE; INFLUENZA, HUMAN; INTERNET; POISSON DISTRIBUTION; POPULATION SURVEILLANCE; SEARCH ENGINE;

EID: 84937406252     PISSN: 0102311X     EISSN: 16784464     Source Type: Journal    
DOI: 10.1590/0102-311X00072814     Document Type: Article

References (32)

1. Souza MF, Widdowson MA, Alencar AP, Gawryszewski VP, Aziz-Baumgartner E, Palekar R, et al. Trends in mortality from respiratory disease in Latin America since 1998 and the impact of the 2009 influenza pandemic. Bull World Health Organ 2013; 91:525-32.
2. Bonvehí PE, Istúriz RE, Labarca JA, Rüttimann RW, Vidal EI, Vilar-Compte D. Influenza among adults in Latin America, current status, and future directions: a consensus statement. Rev Panam Salud Pública 2012; 31:506-12.
3. Azziz-Baumgartner E, Cabrera AM, Chang L, Calli R, Kusznierz G, Baez C, et al. Mortality, severe acute respiratory infection, and influenza-like illness associated with influenza A(H1N1)pdm09 in Argentina, 2009. PLoS One 2012; 7:e47540.
4. Instituto Nacional de Estadísticas y Censos. Estimaciones y proyecciones de población: total del país, 1950-2015: población por sexo y grupos quinquenales de edad. (Serie Análisis Demográfico, 30). http://estadisticas.tierradelfuego.gov.ar/wp-content/uploads/2013/11/Estimaciones_Proyecciones_País_1950_2015.pdf (accedido el 11/Abr/2014).
5. Bloom-Feshbach K, Alonso WJ, Charu V, Tamerius J, Simonsen L, Miller MA, et al. Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review. PLoS One 2013; 8:e54445.
6. Lindblade KA, Johnson AJ, Arvelo W, Zhang X, Jordan HT, Reyes L, et al. Low usage of government healthcare facilities for acute respiratory infections in Guatemala: implications for influenza surveillance. BMC Public Health 2011; 11:885.
7. Vandendijck Y, Faes C, Hens N. Eight years of the Great Influenza Survey to monitor influenza-like illness in Flanders. PLoS One 2013; 8:e64156.
8. Eysenbach G. Infodemiology: tracking flu-related searches on the web for syndromic surveillance. AMIA Annu Symp Proc 2006; 2006:244-8.
9. Polgreen PM, Chen Y, Pennock DM, Nelson FD. Using internet searches for influenza surveillance. Clin Infect Dis 2008; 47:1443-8.
10. Carneiro HA, Mylonakis E. Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009; 49:1557-64.
11. Olson DR, Konty KJ, Paladini M, Viboud C, Simonsen L. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. PLoS Comput Biol 2013; 9:e1003256.
12. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L. Detecting influenza epidemics using search engine query data. Nature 2009; 457:1012-4.
13. Cook S, Conrad C, Fowlkes AL, Mohebbi MH. Assessing Google Flu Trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS One 2011; 6:e23610.
14. Malik MT, Gumel A, Thompson LH, Strome T, Mahmud SM. “Google Flu Trends” and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba. Can J Public Health 2011; 102:294-7.
15. Valdivia A, Lopez-Alcalde J, Vicente M, Pichiule M, Ruiz M, Ordobas M. Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks – results for 2009-10. Euro Surveill 2010; 15:pii:19621.
16. Butler D. When Google got flu wrong. Nature 2013; 494:155-6.
17. Lazer D, Kennedy R, King G, Vespignani A. Big data. The parable of Google Flu: traps in big data analysis. Science 2014; 343:1203-5.
18. Ortiz JR, Zhou H, Shay DK, Neuzil KM, Fowlkes AL, Goss CH. Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends. PLoS One 2011; 6:e18687.
19. Cho S, Sohn CH, Jo MW, Shin SY, Lee JH, Ryoo SM, et al. Correlation between national influenza surveillance data and google trends in South Korea. PLoS One 2013; 8:e81422.
20. Patwardhan A, Bilkovski R. Comparison: flu prescription sales data from a retail pharmacy in the US with Google Flu trends and US ILINet (CDC) data as flu activity indicator. PLoS One 2012; 7:e43611.
21. Myers RH, Montgomery DC, Geoffrey Vining G. Generalized linear models: with applications in engineering and the sciences. 2nd Ed. New Jersey: Wiley and Sons; 2010.
22. Hardin JW, Hilbe JM. Generalized estimating equations. New York: Chapman & Hall/CRC; 2003.
23. Højsgaard S, Halekoh U, Yan J. The R package geepack for generalized estimating equations. J Stat Soft 2006; 1:1-11.
24. Kang M, Zhong H, He J, Rutherford S, Yang F. Using Google Trends for influenza surveillance in South China. PLoS One 2013; 8:e55205.
25. Valdivia A, Monge-Corella S. Diseases tracked by using Google Trends, Spain. Emerg Infect Dis 2010; 16:168.
26. Kleinbaum DG, Klein M. Logistic regression: a self learning text. 3rd Ed. New York: Springer; 2010.
27. Dugas AF, Hsieh YH, Levin SR, Pines JM, Mareiniss DP, Mohareb A, et al. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. Clin Infect Dis 2012; 54:463-9.
28. Wilson N, Mason K, Tobias M, Peacey M, Huang QS, Baker M. Interpreting Google Flu Trends data for pandemic H1N1 influenza: the New Zealand experience. Euro Surveill 2009; 14:pii:19386.
29. Ortiz JR, Zhou H, Shay DK, Neuzil KM, Fowlkes AL, Goss CH. Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends. PLoS One 2011; 6:e18687.
30. Dugas AF, Jalalpour M, Gel Y, Levin S, Torcaso F, Igusa T, et al. Influenza forecasting with Google Flu Trends. PLoS One 2013; 8:e56176.
31. Nsoesie E, Mararthe M, Brownstein J. Forecasting peaks of seasonal influenza epidemics. PLoS Currents 2013; 5:ecurrents.outbreaks.bb1e879a23137022ea79a8c508b030bc.
32. Giovanella L, Feo O, Faria M, Tobar S. Sistemas de Salud en Suramérica: desafíos para la universalidad, la integralidad y la equidad. Río de Janeiro: Instituto Suramericano de Gobierno en Salud; 2012.