Predicting tick-borne encephalitis using Google Trends

Ticks and Tick-borne Diseases - Tập 11 - Trang 101306 - 2020
Mihály Sulyok1, Hardy Richter2, Zita Sulyok3, Máté Kapitány-Fövény4,5, Mark D. Walker6
1Department of Pathology and Neuropathology, Eberhard Karls University of Tübingen Liebermeisterstrasse 8, 72076, Tübingen, Germany
2Department of Neurology & Stroke, and Hertie-Institute for Clinical Brain Research, Eberhard Karls University of Tübingen, Hoppe-Seyler-Strasse 3, 72076, Tübingen, Germany
3Institute of Tropical Medicine, Eberhard Karls University, Wilhelmstraße 27, 72074, Tübingen, Germany
4Faculty of Health Sciences, Semmelweis University, Vas Str. 17, 1088, Budapest, Hungary
5Nyírő Gyula National Institute of Psychiatry and Addictions, Budapest, Hungary
6Department of the Natural and Built Environment, Sheffield Hallam University, Sheffield, S1 1WB, United Kingdom

Tài liệu tham khảo

Alicino, 2015, Assessing ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes, Infect. Dis. Poverty, 4, 54, 10.1186/s40249-015-0090-9 Althouse, 2011, Prediction of dengue incidence using search query surveillance, PLoS Negl. Trop. Dis., 5, e1258, 10.1371/journal.pntd.0001258 Beauté, 2018, Tick-borne encephalitis in Europe, 2012 to 2016, Euro Surveill. Bull. Eur. Sur Mal. Transm. Eur. Commun. Dis. Bull., 23 Bogdziewicz, 2016, Oak acorn crop and Google search volume predict lyme disease risk in temperate Europe, Basic Appl. Ecol., 17, 300, 10.1016/j.baae.2016.01.002 Bogovic, 2015, Tick-borne encephalitis: a review of epidemiology, clinical characteristics, and management, World J. Clin. Cases, 3, 430, 10.12998/wjcc.v3.i5.430 Butler, 2013, When Google got flu wrong, Nature, 494, 155, 10.1038/494155a Cook, 2011, Assessing Google Flu Trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic, PLoS One, 6, 10.1371/journal.pone.0023610 Daniel, 2018, Increased relative risk of tick-borne encephalitis in warmer weather, Front. Cell. Infect. Microbiol., 8, 90, 10.3389/fcimb.2018.00090 Dekker, 2019, Emergence of tick-borne encephalitis (TBE) in the Netherlands, Ticks Tick-Borne Dis., 10, 176, 10.1016/j.ttbdis.2018.10.008 Diebold, 2002, Comparing predictive accuracy, J. Bus. Econ. Stat., 20, 134, 10.1198/073500102753410444 Gluskin, 2014, Evaluation of internet-based dengue query data: google Dengue Trends, PLoS Negl. Trop. Dis., 8, e2713, 10.1371/journal.pntd.0002713 Godfrey, 2011, Economic downturn results in tick-borne disease upsurge, Parasit. Vectors, 4, 35, 10.1186/1756-3305-4-35 Grard, 2007, Genetic characterization of tick-borne flaviviruses: new insights into evolution, pathogenetic determinants and taxonomy, Virology, 361, 80, 10.1016/j.virol.2006.09.015 Hyndman, 2019 Hyndman, 2008, Automatic time series forecasting: the forecast package for R, J. Stat. Softw., 27, 10.18637/jss.v027.i03 Jaenson, 2018, The importance of wildlife in the ecology and epidemiology of the TBE virus in Sweden: incidence of human TBE correlates with abundance of deer and hares, Parasit. Vectors, 11, 477, 10.1186/s13071-018-3057-4 Kapitány-Fövény, 2019, Can Google Trends data improve forecasting of lyme disease incidence?, Zoonoses Public Health, 66, 101, 10.1111/zph.12539 Lazer, 2014, The parable of Google Flu: Traps in big data analysis, Science, 343, 1203, 10.1126/science.1248506 Lindquist, 2008, Tick-borne encephalitis, Lancet, 371, 1861, 10.1016/S0140-6736(08)60800-4 Mansfield, 2009, Tick-borne encephalitis virus - a review of an emerging zoonosis, J. Gen. Virol., 90, 1781, 10.1099/vir.0.011437-0 The R Core Team, 2017 Randolph, 2010, Human activities predominate in determining changing incidence of tick-borne encephalitis in Europe, Euro Surveill. Bull. Eur. Sur Mal. Transm. Eur. Commun. Dis. Bull., 15, 24 Robert Koch Institut, 2019 Simmonds, 2017, ICTV virus taxonomy profile: Flaviviridae, J. Gen. Virol., 98, 2, 10.1099/jgv.0.000672 Sumilo, 2008, Socio-economic factors in the differential upsurge of tick-borne encephalitis in Central and Eastern Europe, Rev. Med. Virol., 18, 81, 10.1002/rmv.566 Süss, 2008, Tick-borne encephalitis in Europe and beyond--the epidemiological situation as of 2007, Euro Surveill. Bull. Eur. Sur Mal. Transm. Eur. Commun. Dis. Bull., 13 Süss, 2011, Tick-borne encephalitis 2010: epidemiology, risk areas, and virus strains in Europe and Asia—an overview, Ticks Tick-Borne Dis., 2, 2, 10.1016/j.ttbdis.2010.10.007 Teng, 2017, Dynamic forecasting of zika epidemics using Google Trends, PLoS One, 12, 10.1371/journal.pone.0165085 Walker, 2018, Can Google be used to study parasitic disease? Internet searching on tick-borne encephalitis in Germany, J. Vector Borne Dis., 55, 327, 10.4103/0972-9062.256571 Zhang, 2000, An application of the inverse hyperbolic sine transformation—a note, Health Serv. Outcomes Res. Methodol., 1, 165, 10.1023/A:1012593022758