Digital disease detection - harnessing the Web for public health surveillance

Cited by (816)

Items 101–200 of 816

1. Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities
   Günther Sagl, Bernd Resch, Thomas Blaschke · 2015 · Sensors
2. Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports
   Elaine Okanyene Nsoesie, Sheryl A. Kluberg, John S. Brownstein · 2014 · Preventive Medicine
3. Challenges of global surveillance during an influenza pandemic
   Sylvie C. Briand, Anthony Wayne Mounts, M. Chamberland · 2011 · Public Health
4. Pandemic preparedness of community pharmacies for COVID-19
   Mohamed Bahlol, Rebecca Susan Dewey · 2020 · Research in Social and Administrative Pharmacy
5. Digital public health surveillance: a systematic scoping review
   Zahra Shakeri Hossein Abad, Adrienne Sarah Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini, Majed M. Al-Jefri, Joon Lee · 2021 · npj Digital Medicine
6. Public Figure Announcements About Cancer and Opportunities for Cancer Communication: A Review and Research Agenda
   Seth M. Noar, Jessica Fitts Willoughby, Jessica Gall Myrick, Jennifer L Brown · 2013 · Health Communication
7. What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques
   Annie Chen, Shu‐Hong Zhu, Mike Conway · 2015 · Journal of Medical Internet Research
8. Tracking Health Related Discussions on Reddit for Public Health Applications.
   Albert Park, Mike Conway · 2017 · PubMed Central
9. Crowdsourcing Black Market Prices For Prescription Opioids
   Nabarun Dasgupta, Clark C. Freifeld, John S. Brownstein, Christopher M. Menone, Hilary L. Surratt, Luke Poppish, Jody L. Green, Eric J. Lavonas, Richard C. Dart · 2013 · Journal of Medical Internet Research
10. Infectious disease surveillance and modelling across geographic frontiers and scientific specialties
    Kamran Khan, Scott J.N. McNabb, Ziad Ahmed Memish, Rose Eckhardt, Wei Hu, David Kossowsky, Jennifer Sears, Julien Arino, Anders Johansson, Maurizio Barbeschi et al. · 2012 · The Lancet Infectious Diseases
11. A Survey of Computational Methods for Online Mental State Assessment on Social Media
    Esteban Andrés Ríssola, David E. Losada, Fábio Crestani · 2021 · ACM Transactions on Computing for Healthcare
12. Drivers of earlier infectious disease outbreak detection: a systematic literature review
    Lindsay Steele, Emma Orefuwa, Petra Dickmann · 2016 · International Journal of Infectious Diseases
13. Google dengue trends: An indicator of epidemic behavior. The Venezuelan Case
    Ricardo A. Strauss, Julio S Castro, Ralf Reintjes, Jaime R. Torres · 2017 · International Journal of Medical Informatics
14. The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network
    Lisa A. Marsch, Aimee N. C. Campbell, Cynthia I. Campbell, Ching-Hua Chen-Ritzo, Emre Ertin, Udi E. Ghitza, Chantal A Lambert-Harris, Saeed Hassanpour, August F. Holtyn, Yih‐Ing Hser et al. · 2020 · Journal of Substance Abuse Treatment
15. The Big Data Agenda
    Annika Richterich · 2018 · University of Westminster Press eBooks
16. Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic
    Natasha L. Tilston‐Lunel, Ken T. D. Eames, Daniela Paolotti, Toby Ealden, W. John Edmunds · 2010 · BMC Public Health
17. The Social Determinants of Conspiratorial Ideation
    Joseph DiGrazia · 2017 · Socius Sociological Research for a Dynamic World
18. Dietary preferences and diabetic risk in China: A large‐scale nationwide Internet data‐based study
    Zhiyun Zhao, Mian Li, Chao Li, Tiange Wang, Yu Xu, Zhizheng Zhan, Weishan Dong, Zhiyong Shen, Min Xu, Jieli Lu et al. · 2019 · Journal of Diabetes
19. Spatial and temporal epidemiological analysis in the Big Data era
    Dirk Udo Pfeiffer, Kim Stevens · 2015 · Preventive Veterinary Medicine
20. Using internet search queries for infectious disease surveillance: screening diseases for suitability
    Gabriel J. Milinovich, Simon M R Avril, Archie Clements, John S. Brownstein, Shilu Tong, Wenbiao Hu · 2014 · BMC Infectious Diseases
21. An overview of Internet biosurveillance
    David Hartley, Noele P. Nelson, Ray R. Arthur, Philippe Barboza, Nigel Collier, Nigel F. Lightfoot, Jens P. Linge, Erik van der Goot, Abla Mawudeku, Lawrence C. Madoff et al. · 2013 · Clinical Microbiology and Infection
22. An open repository of real-time COVID-19 indicators
    Alex Reinhart, Logan Brooks, Maria Jahja, Aaron Rumack, Jingjing Tang, Sumit Agrawal, Wael Al Saeed, Taylor Arnold, Amartya Basu, Jacob Bien et al. · 2021 · Proceedings of the National Academy of Sciences
23. Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
    Emmanuelle Sylvestre, Clarisse Joachim, Elsa Cécilia‐Joseph, Guillaume Bouzillé, Boris Campillo‐Gimenez, Marc Cuggia A, André Cabie · 2022 · PLoS neglected tropical diseases
24. Google's Insights for Search: A Note Evaluating the Use of Search Engine Data in Social Research*
    Christopher P. Scheitle · 2011 · Social Science Quarterly
25. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review
    Dinesh Visva Gunasekeran, Alton Chew, Eeshwar K Chandrasekar, Priyanka Rajendram, Vasundhara Kandarpa, Mallika Rajendram, Audrey Chia, Helen Elizabeth Smith, Choon Kit Leong · 2022 · Journal of Medical Internet Research
26. Using big data to predict collective behavior in the real world
    Helen Susannah Moat, Tobias Preis, Christopher Y. Olivola, Chengwei Liu, Nick Chater A · 2014 · Behavioral and Brain Sciences
27. Detecting Disease Outbreaks in Mass Gatherings Using Internet Data
    Elad Yom‐Tov, Diana Borsa, Ingemar Johansson Cox, Rachel A. McKendry · 2014 · Journal of Medical Internet Research
28. Global reaction to the recent outbreaks of Zika virus: Insights from a Big Data analysis
    Bragazzi, Nicola Luigi, Alicino, Cristiano, Trucchi, Cecilia, Paganino, Chiara, Barberis, Ilaria, Martini, Mariano, Sticchi, Laura, Trinka, Eugen, Brigo, Francesco, Ansaldi, Filippo et al. · 2017 · PLOS ONE
29. Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns
    Michael S. Deiner, Thomas M. Lietman, Stephen D. McLeod, James Chodosh, Travis C. Porco · 2016 · JAMA Ophthalmology
30. Novel surveillance of psychological distress during the great recession
    John W. Ayers, Benjamin M. Althouse, Jon-Patrick Allem, Matthew Childers, Waleed Zafar, Carl Asher Latkin, Kurt M. Ribisl, John S. Brownstein · 2012 · Journal of Affective Disorders
31. The Potential of Social Media and Internet-Based Data in Preventing and Fighting Infectious Diseases: From Internet to Twitter
    Khaled Mohammed Al-Surimi, Mohamed Khalifa, Salwa Bahkali, Ashraf El‐Metwally, Mowafa Said Househ · 2016 · Advances in experimental medicine and biology
32. Virtual Zika transmission after the first U.S. case: who said what and how it spread on Twitter
    Santosh Vijaykumar, Glen J. Nowak, Itai Himelboim, Yan Jin · 2018 · American Journal of Infection Control
33. Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook
    Abhishek Padhi, Ashwini Agarwal, Shailendra Kumar Saxena, C.D.S. Katoch · 2023 · VirusDisease
34. Comparison of Web-Based Biosecurity Intelligence Systems: BioCaster, EpiSPIDER and HealthMap
    Aidan Lyon, Mike Nunn, Geoff Grossel, Mark A. Burgman · 2011 · Transboundary and Emerging Diseases
35. Disease Surveillance on Complex Social Networks
    José Luís Herrera, Ravi Srinivasan, John S. Brownstein, Alison P. Galvani, Lauren W. Ancel · 2016 · PLoS Computational Biology
36. A Simulation Optimization Approach to Epidemic Forecasting
    Elaine Okanyene Nsoesie, Richard J. Beckman, Sara Shashaani, Kalyani Nagaraj, MADHAV V. MARATHE · 2013 · PLoS ONE
37. Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal
    Ashutosh Jadhav, Donna E. Andrews, Alexander S. Fiksdal, Ashok Kumbamu, Jennifer Blair McCormick, Andrew Misitano, Laurie A. Nelsen, Euijung Ryu, Amit Sheth, Stephen Wu et al. · 2014 · Journal of Medical Internet Research
38. A Method to Assess Seasonality of Urinary Tract Infections Based on Medication Sales and Google Trends
    Louise Rossignol, Camille Pelat, Bruno Lambert, Antoine Flahault, Emmanuel Jean Chartier-Kastler, Thomas Hanslik · 2013 · PLoS ONE
39. Social Monitoring for Public Health
    Michael J. Paul, Mark H. Dredze · 2017 · Synthesis lectures on information concepts, retrieval, and services
40. The Next Public Health Revolution: Public Health Information Fusion and Social Networks
    Ali Sultan Khan, Aaron T. Fleischauer, Julie Ann P. Casani, Samuel L. Groseclose · 2010 · American Journal of Public Health
41. “Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States
    Forough Foroughi, Alfred King-yin Lam, Megan S. C. Lim, Nassim Saremi, Alireza Ahmadvand · 2016 · JMIR Cancer
42. Global Capacity for Emerging Infectious Disease Detection, 1996–2014
    Sheryl A. Kluberg, Sumiko R. Mekaru, David J. McIver, Lawrence C. Madoff, Adam W. Crawley, Mark S. Smolinski, John S. Brownstein · 2016 · Emerging infectious diseases
43. Evaluating the Feasibility and Participants’ Representativeness of an Online Nationwide Surveillance System for Influenza in France
    Marion Debin, Clément Turbelin, Thierry Blanchon, Isabelle Bonmarin, Alessandra Falchi, Thomas Hanslik, Daniel Lévy-Bruhl, Chiara Poletto, Vittoria Colizza · 2013 · PLoS ONE
44. Mobile crowd sensing of human-like intelligence using social sensors: A survey
    Zheng Xu, Lin Mei, Kim‐Kwang Raymond Choo, Zhihan Lv, Chuanping Hu, Xiangfeng Luo, Yunhuai Liu · 2017 · Neurocomputing
45. Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts
    Erika Molteni, Christina M. Astley, Wenjie Ma, Carole H. Sudre, Laura Ann Magee, Benjamin A. K. Murray, Tove Fall, Maria F. Gomez, Neli Tsereteli, Paul W. Franks et al. · 2021 · Scientific Reports
46. Digital surveillance for enhanced detection and response to outbreaks
    Anema, Aranka, Kluberg, Sheryl, Wilson, Kumanan, Hogg, Robert S, Khan, Kamran, Hay, Simon I, Tatem, Andrew J, Brownstein, John S · 2014 · The Lancet Infectious Diseases
47. The use of social media for health research purposes: scoping review
    Bour, Charline, Ahne, Adrian, Schmitz, Susanne, Perchoux, Camille, Dessenne, Coralie, Fagherazzi, Guy · 2021 · Journal of Medical Internet Research
48. Cancer Information Seeking in the Digital Age
    Seth M. Noar, Benjamin M. Althouse, John W. Ayers, Diane B. Francis, Kurt M. Ribisl · 2014 · Medical Decision Making
49. Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews
    Lan Li, David Novillo-Ortiz, Natasha Azzopardi Muscat, Patty Kostkova · 2021 · Frontiers in Public Health
50. Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase
    John W. Ayers, Kurt M. Ribisl, John S. Brownstein · 2011 · PLoS ONE
51. Evaluation of the Feasibility of Screening Patients for Early Signs of Lung Carcinoma in Web Search Logs
    Ryen W. White, Eric Horvitz · 2016 · JAMA Oncology
52. Gluttony and guilt: monthly trends in internet search query data are comparable with national-level energy intake and dieting behavior
    Sean C. P. Coogan, Zhixian Sui, David Raubenheimer · 2018 · Humanities and Social Sciences Communications
53. Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media
    Sadilek, Adam, Kautz, Henry, DiPrete, Lauren, Labus, Brian, Portman, Eric, Teitel, Jack, Silenzio, Vincent · 2017 · AI Magazine
54. Towards development of functional climate-driven early warning systems for climate-sensitive infectious diseases: Statistical models and recommendations
    Shovanur Haque, Kerrie Lee Mengersen, Ian Barr, Liping Wang, Weizhong Yang, Sotiris Vardoulakis, Hilary Bambrick, Wenbiao Hu · 2024 · Environmental Research
55. Spatial infectious disease epidemiology: on the cusp
    Gerardo Chowell, RICHARD B. ROTHENBERG · 2018 · BMC Medicine
56. Digital Contact Tracing for Pandemic Response
    Jeffrey P. Kahn · 2020 · Johns Hopkins University Press eBooks
57. Artificial intelligence in clinical and translational science: Successes, challenges and opportunities
    Elmer Victor Bernstam, Paula Kay Shireman, Funda Meric‐Bernstam, Meredith Nahm Zozus, Xiaoqian Jiang, Bradley B. Brimhall, A K Windham, Susanne Schmidt, Shyam Visweswaran, Ye Ye et al. · 2021 · Clinical and Translational Science
58. Public health and pipe breaks in water distribution systems: Analysis with internet search volume as a proxy
    Julie Shortridge, Seth David Guikema · 2014 · Water Research
59. A Novel Evaluation of World No Tobacco Day in Latin America
    John W. Ayers, Benjamin M. Althouse, Jon-Patrick Allem, Daniel E. Ford, Kurt M. Ribisl, Joanna E Cohen · 2012 · Journal of Medical Internet Research
60. Detecting neurodegenerative disorders from web search signals
    Ryen W. White, Pudugramam Murali Doraiswamy, Eric Horvitz · 2018 · npj Digital Medicine
61. Emerging and Re-emerging Infectious Diseases in the WHO Eastern Mediterranean Region, 2001-2018
    Ehsan Mostafavi, Abdolmajid Ghasemian, Abdinasir Abubakar, Seyed Alireza Nematollahi Mahani, Salman Rawaf, ‪Mostafa Salehi-Vaziri, Mohammad Mehdí Gouya, Tran Minh Nhu Nguyen, Salah Thabit Al Awaidy, Lubna Al Ariqi et al. · 2021 · International Journal of Health Policy and Management
62. Enhancing Feature Selection Using Word Embeddings
    Vasileios Lampos, Bin Zou, Ingemar Johansson Cox · 2017 · International World Wide Web Conference (WWW)
63. Monitoring seasonal influenza epidemics by using internet search data with an ensemble penalized regression model
    Pi Guo, Jianjun Zhang, Li Wang, Shaoyi Yang, Ganfeng Luo, Changyu Deng, Ye Wen, Qingying Zhang · 2017 · Scientific Reports
64. Statistical Perspectives on “Big Data”
    Fadel M. Megahed, L. Allison Jones‐Farmer · 2015 · Springer eBooks
65. Collective self-experimentation in patient-led research: How online health communities foster innovation
    Joanna Kempner, John Bailey · 2019 · Social Science & Medicine
66. Airports, localities and disease: Representations of global travel during the H1N1 pandemic
    Adam Warren, Morag Bell, Lucy Budd · 2010 · Health & Place
67. Is there a duty to participate in digital epidemiology?
    Brent Mittelstadt, Justus Benzler, Lukas Engelmann, Barbara Prainsack, Effy Vayena · 2018 · Life Sciences Society and Policy
68. Consulting “Dr Google” for sexual dysfunction: a contemporary worldwide trend analysis
    On behalf of EAU-YAU Men’s Health Working Group, Giorgio Ivan Russo, Marina Di Mauro, Andrea Cocci, Giovanni Enrico Cacciamani, Sebastiano Cimino, Ege Can Şerefoğlu, Maarten Albersen, Paolo Capogrosso, Mikkel Mejlgaard Fode et al. · 2019 · International Journal of Impotence Research
69. Predicting New Diagnoses of HIV Infection Using Internet Search Engine Data
    Anupam Bapu Jena, Pinar Karaca‐Mandic, Lesley Weaver, Seth A. Seabury · 2013 · Clinical Infectious Diseases
70. Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan
    Ho-Wei Wang, Duan‐Rung Chen, Hsiao-Wei Yu, Ya‐Mei Chen · 2015 · Journal of Medical Internet Research
71. New technologies for reporting real-time emergent infections
    Rumi Chunara, Clark C. Freifeld, John S. Brownstein · 2012 · Parasitology
72. Preparing for infectious disease threats at mass gatherings: the case of the Vancouver 2010 Olympic Winter Games
    Kamran Khan, Clark C. Freifeld, Jimmy Wang, Sumiko R. Mekaru, David Kossowsky, Amy L. Sonricker, W. Hu, J. Sears, Andrew Tan Chan, John S. Brownstein · 2010 · Canadian Medical Association Journal
73. Seasonal variation in the internet searches for gout: an ecological study
    Sinan Kardeş · 2018 · Clinical Rheumatology
74. Every participant is a PI. Citizen science and participatory governance in population studies
    Alena Buyx, Lorenzo Del Savio, Barbara Prainsack, Henry Völzke · 2017 · International Journal of Epidemiology
75. Turn to the Internet First? Using Online Medical Behavioral Data to Forecast COVID-19 Epidemic Trend
    Wensen Huang, Bolin Cao, Guang Yang, Ningzheng Luo, Naipeng Chao · 2020 · Information Processing & Management
76. The representativeness of a European multi-center network for influenza-like-illness participatory surveillance
    Pietro Cantarelli, Marion Debin, Clément Turbelin, Chiara Poletto, Thierry Blanchon, Alessandra Falchi, Thomas Hanslik, Isabelle Bonmarin, Daniel Lévy-Bruhl, Alessandra Micheletti et al. · 2014 · BMC Public Health
77. Using Digital Surveillance to Examine the Impact of Public Figure Pancreatic Cancer Announcements on Media and Search Query Outcomes
    Seth M. Noar, Kurt M. Ribisl, Benjamin M. Althouse, Jessica Fitts Willoughby, John W. Ayers · 2013 · JNCI Monographs
78. The value of social media data: Integrating crowd capabilities in evidence-based policy
    Panos Panagiotopoulos, Frances Bowen, Phillip Brooker · 2017 · Government Information Quarterly
79. Internet-based biosurveillance methods for vector-borne diseases: Are they novel public health tools or just novelties?
    Simon Pollett, Benjamin M. Althouse, Brett M. Forshey, George Williams Rutherford, Richard G. Jarman · 2017 · PLoS neglected tropical diseases
80. The Challenges of Big Data Governance in Healthcare
    Daniel W. K. Tse, Chung-kin Chow, Ting-pong Ly, Chung-yan Tong, Kwok-wah Tam · 2018 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
81. The Global Public Health Intelligence Network
    Abla Mawudeku, Michael Blench, Louise Boily, R St John, Roberta Andraghetti, Martha Ruben · 2013 · Wiley eBooks
82. Social Monitoring for Public Health
    Michael J. Paul, Mark H. Dredze · 2017 · Synthesis lectures on information concepts, retrieval, and services
83. Risk Communication Recommendations and Implementation During Emerging Infectious Diseases: A Case Study of the 2009 H1N1 Influenza Pandemic
    Anat Gesser‐Edelsburg, Emilio Mordini, James J. James, Donato Greco, Manfred S. Green · 2014 · Disaster Medicine and Public Health Preparedness
84. An unsupervised and customizable misspelling generator for mining noisy health-related text sources
    Abeed Sarker, Graciela Gonzalez‐Hernandez · 2018 · Journal of Biomedical Informatics
85. Why policymakers should care about “big data” in healthcare
    David Westfall Bates, Axel Heitmueller, Meetali Kakad, Suchi Saria · 2018 · Health Policy and Technology
86. Tracking search engine queries for suicide in the United Kingdom, 2004–2013
    Arora, V.S., Stuckler, D., McKee, M. · 2016 · Public Health
87. Characterizing Ebola Transmission Patterns Based on Internet News Reports
    Julie M. Cleaton, Cecile G. Viboud, Lone Simonsen, Ana Magdalena Hurtado, Gerardo Chowell · 2015 · Clinical Infectious Diseases
88. Metabolomics of autism spectrum disorders: early insights regarding mammalian-microbial cometabolites
    Michele Mussap, Antonio Noto, Vassilios Fanos · 2016 · Expert Review of Molecular Diagnostics
89. A review of the role of public health informatics in healthcare
    Hassan A. Aziz · 2016 · Journal of Taibah University Medical Sciences
90. Strengths and weaknesses of existing data sources to support research to address the opioids crisis
    Rosanna Smart, Courtney Kase, Erin Audrey Taylor, Susan Lumsden, Scott R. Smith, Bradley D. Stein · 2019 · Preventive Medicine Reports
91. Monitoring public interest toward pertussis outbreaks: an extensive Google Trends–based analysis
    Vincenza Gianfredi, Nicola Luigi Bragazzi, Mahmud Mahamid, Bishara Bisharat, Naim Mahroum, Howard Amital, Mohammad Adawi · 2018 · Public Health
92. Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study
    Nicola Luigi Bragazzi, Naim Mahroum · 2019 · JMIR Public Health and Surveillance
93. Worldwide trends in fishing interest indicated by internet search volume
    Gene R. Wilde, Kevin L. Pope · 2012 · Fisheries Management and Ecology
94. Big Data to Improve Public Health in Low- and Middle-Income Countries
    Songül Çınaroğlu · 2019 · Advances in public policy and administration (APPA) book series
95. The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges
    Mohammed Ali Al-Garadi, Yuan‐Chi Yang, Abeed Sarker · 2022 · Healthcare
96. Crisis Standards of Care: A Toolkit for Indicators and Triggers
    Dan Hanfling, John L. Hick, Clare Stroud, Triggers · 2013
97. Innovative Uses of Electronic Health Records and Social Media for Public Health Surveillance
    Emma Eggleston, Elissa R. Weitzman · 2014 · Current Diabetes Reports
98. Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System
    Raimar Kern, Rocco Haase, Judith Eisele, Katja Thomas, Tjalf Ziemssen · 2016 · Interactive Journal of Medical Research
99. Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature
    Vincenza Gianfredi, Nicola Luigi Bragazzi, Daniele Nucci, Mariano Martini, Roberto Rosselli, Liliana Minelli, Massimo Moretti · 2018 · Frontiers in Public Health
100. Seasonal variation in the internet searches for psoriasis
     Sinan Kardeş · 2019 · Archives of Dermatological Research