Quantifying the UK Online Interest in Substances of the EU Watchlist for Water Monitoring: Diclofenac, Estradiol, and the Macrolide Antibiotics

Due to the increased interest in micropollutants, this paper aims at quantifying and analyzing the UK online interest in Diclofenac, Estradiol, Azithromycin, Clarithromycin, and Erythromycin, substances included in the EU watchlist for monitoring, in order to examine if the public’s online behavior and the use of these substances, in terms of issued prescriptions, are correlated. Using time series data from Google Trends from January 2004 to December 2014, an analysis of these substances in the UK, and in each UK region, i.e., England, Wales, Scotland, and Northern Ireland, is at first performed, followed by an analysis of interest by substance. The results show high interest in Diclofenac with a slight decline, while the Macrolides are significantly less popular though increasing. For Estradiol, the interest is low and declining throughout the examined period, in contrast to the scientific community, where Estradiol is the most studied substance. Prescription items and Google hits are highly correlated in the UK for Diclofenac, Azithromycin, and Clarithromycin, while no correlation is observed for Estradiol. Results from this study indicated that online search traffic data can be valuable in examining the public’s online behavior towards the monitored micropollutants, and could assist with the evaluation and forecasting of their concentrations in the waste, surface, and ground water in the UK.

[1]  Andrew B Rosenkrantz,et al.  Public Interest in Imaging-Based Cancer Screening Examinations in the United States: Analysis Using a Web-Based Search Tool. , 2016, AJR. American journal of roentgenology.

[2]  Jieping Ye,et al.  Tuberculosis Surveillance by Analyzing Google Trends , 2011, IEEE Transactions on Biomedical Engineering.

[3]  Sushil K. Khetan,et al.  Human pharmaceuticals in the aquatic environment: a challenge to Green Chemistry. , 2007, Chemical reviews.

[4]  F. Jamali,et al.  Adverse effects of nonsteroidal antiinflammatory drugs: an update of gastrointestinal, cardiovascular and renal complications. , 2014, Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques.

[5]  Daniel Dajun Zeng,et al.  Information Seeking Regarding Tobacco and Lung Cancer: Effects of Seasonality , 2015, PloS one.

[6]  Nicholas G. Polson,et al.  Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model , 2012, Journal of the American Statistical Association.

[7]  W. J. Cooper,et al.  Degradation of diclofenac by advanced oxidation and reduction processes: kinetic studies, degradation pathways and toxicity assessments. , 2013, Water research.

[8]  E. Rubinstein Comparative safety of the different macrolides. , 2001, International journal of antimicrobial agents.

[9]  Eugen Trinka,et al.  Why do people Google epilepsy? An infodemiological study of online behavior for epilepsy-related search terms , 2014, Epilepsy & Behavior.

[10]  Akihiko Hirose,et al.  Chronic toxicity of an environmentally relevant mixture of pharmaceuticals to three aquatic organisms (alga, daphnid, and fish) , 2016, Environmental toxicology and chemistry.

[11]  P. McGettigan,et al.  Use of Non-Steroidal Anti-Inflammatory Drugs That Elevate Cardiovascular Risk: An Examination of Sales and Essential Medicines Lists in Low-, Middle-, and High-Income Countries , 2013, PLoS medicine.

[12]  Do-Hyung Park,et al.  Consumer information search behavior and purchasing decisions: Empirical evidence from Korea , 2016 .

[13]  B. Rubin,et al.  Mechanisms of Action and Clinical Application of Macrolides as Immunomodulatory Medications , 2010, Clinical Microbiology Reviews.

[14]  Francesco Brigo,et al.  Web search behavior for multiple sclerosis: An infodemiological study. , 2014, Multiple sclerosis and related disorders.

[15]  Searching for backyard birds in virtual worlds: Internet queries mirror real species distributions , 2015, Biodiversity and Conservation.

[16]  D. Venieri,et al.  UV-A/TiO2 photocatalytic decomposition of erythromycin in water: Factors affecting mineralization and antibiotic activity , 2010 .

[17]  Hsiao-Wei Yu,et al.  Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan , 2015, Journal of medical Internet research.

[18]  A. Oikari,et al.  The anti-inflammatory drugs diclofenac, naproxen and ibuprofen are found in the bile of wild fish caught downstream of a wastewater treatment plant. , 2013, Environmental science & technology.

[19]  M. Mccallum,et al.  Public interest in the environment is falling: a response to Ficetola (2013) , 2014, Biodiversity and Conservation.

[20]  Adrián M.T. Silva,et al.  Occurrence and removal of organic micropollutants: An overview of the watch list of EU Decision 2015/495. , 2016, Water research.

[21]  Maria Diekmann,et al.  Removing the Threat of Diclofenac to Critically Endangered Asian Vultures , 2006, PLoS biology.

[22]  K. Southern,et al.  Macrolide antibiotics for cystic fibrosis. , 2012, The Cochrane database of systematic reviews.

[23]  Torsten Schmidt,et al.  Forecasting Private Consumption: Survey-Based Indicators vs. Google Trends , 2009 .

[24]  Reinhard Niessner,et al.  Rapid analysis of diclofenac in freshwater and wastewater by a monoclonal antibody-based highly sensitive ELISA , 2015, Analytical and Bioanalytical Chemistry.

[25]  Tomas Brodin,et al.  Ecological effects of pharmaceuticals in aquatic systems—impacts through behavioural alterations , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[26]  R. Dellavalle,et al.  Comparing burden of dermatologic disease to search interest on google trends. , 2015, Dermatology online journal.

[27]  D. Barceló,et al.  Fate and removal of pharmaceuticals and illicit drugs in conventional and membrane bioreactor wastewater treatment plants and by riverbank filtration , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[28]  Michael Scharkow,et al.  Measuring the Public Agenda using Search Engine Queries , 2011 .

[29]  Torsten Schmidt,et al.  Forecasting Private Consumption: Survey-Based Indicators vs. Google Trends , 2009 .

[30]  C. Vogelsang,et al.  Status of hormones and painkillers in wastewater effluents across several European states—considerations for the EU watch list concerning estradiols and diclofenac , 2016, Environmental Science and Pollution Research.

[31]  D. Ingram,et al.  Seasonal trends in restless legs symptomatology: evidence from Internet search query data. , 2013, Sleep medicine.

[32]  Faina Linkov,et al.  Bariatric surgery interest around the world: what Google Trends can teach us. , 2014, Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery.

[33]  S. Geissen,et al.  Carbamazepine and diclofenac: removal in wastewater treatment plants and occurrence in water bodies. , 2008, Chemosphere.

[34]  G. Lu,et al.  Occurrence, bioaccumulation and risk assessment of lipophilic pharmaceutically active compounds in the downstream rivers of sewage treatment plants. , 2015, The Science of the total environment.

[35]  R. Flick,et al.  Comparing predicted estrogen concentrations with measurements in US waters. , 2013, Environmental pollution.

[36]  M. Sillanpää,et al.  Fate of diclofenac in municipal wastewater treatment plant - a review. , 2014, Environment international.

[37]  Daniela Amicizia,et al.  Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes , 2015 .

[38]  Cardiovascular Risk of NSAIDs: Time to Translate Knowledge into Practice , 2013, PLoS medicine.

[39]  A. Pariente,et al.  Usage patterns of 'over-the-counter' vs. prescription-strength nonsteroidal anti-inflammatory drugs in France. , 2014, British journal of clinical pharmacology.

[40]  D. Ingram,et al.  Seasonal trends in sleep-disordered breathing: evidence from Internet search engine query data , 2015, Sleep and Breathing.

[41]  Ute Kühnen,et al.  Aquatic toxicity of the macrolide antibiotic clarithromycin and its metabolites. , 2015, Chemosphere.

[42]  M. Mccallum,et al.  Google search patterns suggest declining interest in the environment , 2013, Biodiversity and Conservation.

[43]  N. Roche,et al.  17α‐Ethinylestradiol: An endocrine disrupter of great concern. Analytical methods and removal processes applied to water purification. A review , 2008 .

[44]  R. Albert,et al.  Macrolide antibiotics and the risk of cardiac arrhythmias. , 2014, American journal of respiratory and critical care medicine.

[45]  E. Poluzzi,et al.  Antibacterial macrolides: a drug class with a complex pharmacological profile. , 2004, Pharmacological research.

[46]  L. Bierut,et al.  Monitoring of non-cigarette tobacco use using Google Trends , 2014, Tobacco Control.

[47]  Alvine C Mehinto,et al.  Uptake and biological effects of environmentally relevant concentrations of the nonsteroidal anti-inflammatory pharmaceutical diclofenac in rainbow trout (Oncorhynchus mykiss). , 2010, Environmental science & technology.

[48]  V. Nijman CITES-listings, EU eel trade bans and the increase of export of tropical eels out of Indonesia , 2015 .

[49]  Lihua Niu,et al.  Occurrence of endocrine disrupting compounds in aqueous environment and their bacterial degradation: A review , 2016 .

[50]  H. Heipieper,et al.  Degradation of macrolide antibiotics by ozone: a mechanistic case study with clarithromycin. , 2006, Chemosphere.

[51]  R M Stuetz,et al.  Fate of antibiotics during municipal water recycling treatment processes. , 2010, Water research.

[52]  Nicola Luigi Bragazzi,et al.  Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries , 2016, Epilepsy & Behavior.

[53]  Gentile Francesco Ficetola,et al.  Is interest toward the environment really declining? The complexity of analysing trends using internet search data , 2013, Biodiversity and Conservation.

[54]  S. Nuti,et al.  The Use of Google Trends in Health Care Research: A Systematic Review , 2014, PloS one.

[55]  Dotan A. Haim,et al.  Using Networks to Combine “Big Data” and Traditional Surveillance to Improve Influenza Predictions , 2015, Scientific Reports.