Topic · Data-Driven Disease Surveillance
Most cited papers in Data-Driven Disease Surveillance
What are the most cited papers in Data-Driven Disease Surveillance?
The most cited paper in Data-Driven Disease Surveillance is "An interactive web-based dashboard to track COVID-19 in real time" (Ensheng Dong, Hongru Du, Lauren M. Gardner, 2020), with 11,219 citations. Next come "The Analysis of Spatial Association by Use of Distance Statistics" (6,238) and "The Danish Civil Registration System" (4,720).
Showing 50 of 99 papers. Every paper with more than 647 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | An interactive web-based dashboard to track COVID-19 in real time Ensheng Dong, Hongru Du, Lauren M. Gardner · The Lancet Infectious Diseases | 19 Feb 2020 | 11,219 |
| 2 | The Analysis of Spatial Association by Use of Distance Statistics Arthur Getis, J. K. Ord · Geographical Analysis | Jul 1992 | 6,238 |
| 3 | The Danish Civil Registration System Carsten Bøcker Pedersen · Scandinavian Journal of Public Health | Jul 2011 | 4,720 |
| 4 | Detecting influenza epidemics using search engine query data Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel et al. · Nature | 19 Nov 2008 | 4,439 |
| 5 | A spatial scan statistic Martin Kulldorff · Communication in Statistics- Theory and Methods | 1997 | 4,062 |
| 6 | Local Spatial Autocorrelation Statistics: Distributional Issues and an Application J. Keith Ord, Arthur Getis · Geographical Analysis | Oct 1995 | 3,714 |
| 7 | Earthquake shakes Twitter users Takeshi Sakaki, Makoto Okazaki, Yutaka Matsuo | 26 Apr 2010 | 3,684 |
| 8 | GISAID: Global initiative on sharing all influenza data – from vision to reality Yuelong Shu, John W. McCauley · Eurosurveillance | 30 Mar 2017 | 3,604 |
| 9 | AUC: a misleading measure of the performance of predictive distribution models Jorge Miguel Lobo, Alberto Jiménez‐Valverde, Raimundo Real · Global Ecology and Biogeography | 14 Sep 2007 | 3,552 |
| 10 | GeoDa : An Introduction to Spatial Data Analysis Luc Anselin, Ibnu Syabri, Youngihn Kho · Geographical Analysis | 20 Dec 2005 | 2,580 |
| 11 | The Parable of Google Flu: Traps in Big Data Analysis David M. J. Lazer, Ryan Kennedy, Gary King et al. · Science | 13 Mar 2014 | 2,577 |
| 12 | Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 Emmanuela E. Gakidou et al. · The Lancet | Sep 2017 | 2,476 |
| 13 | Predicting the Present with Google Trends Hyunyoung Choi, Hal R. Varian · Economic Record | Jun 2012 | 2,335 |
| 14 | Data, disease and diplomacy: GISAID's innovative contribution to global health Stefan Elbe, Gemma Buckland‐Merrett · Global Challenges | 2017 | 2,318 |
| 15 | Cancer statistics, 1997 Paul Park, T. Tong, S. Bolden et al. · CA A Cancer Journal for Clinicians | 1997 | 2,026 |
| 16 | De-duplication of database search results for systematic reviews in EndNote Wichor Matthijs Bramer, Dean Giustini, Gerdien B. de Jonge et al. · Journal of the Medical Library Association JMLA | Jul 2016 | 1,990 |
| 17 | Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus Oliver J. Brady, Peter W. Gething, Samir Bhatt et al. · PLoS neglected tropical diseases | 7 Aug 2012 | 1,935 |
| 18 | A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics Anne Cori, Neil M. Ferguson, Christophe Fraser et al. · American Journal of Epidemiology | 15 Sep 2013 | 1,812 |
| 19 | Deep Learning for Anomaly Detection: A Review Guansong Pang, Chunhua Shen, Longbing Cao et al. · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) | 6 Jul 2020 | 1,731 |
| 20 | Data quality assessment Leo L. Pipino, Yang W. Lee, Richard Y. Wang · Communications of the ACM | Apr 2002 | 1,672 |
| 21 | Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology. Nancy R Krieger · American Journal of Public Health | May 1992 | 1,668 |
| 22 | Mobility network models of COVID-19 explain inequities and inform reopening Serina Y. Chang, Emma Pierson, Pang Wei Koh et al. · Nature | 10 Nov 2020 | 1,667 |
| 23 | Unique in the Crowd: The privacy bounds of human mobility Yves-Alexandre de Montjoye, César A. Hidalgo, Michel Verleysen et al. · Scientific Reports | 25 Mar 2013 | 1,643 |
| 24 | Spatial disease clusters: Detection and inference Martin Kulldorff, Neville Nagarwalla · Statistics in Medicine | 30 Apr 1995 | 1,630 |
| 25 | Diagnostic tests 4: likelihood ratios Jonathan J Deeks, Douglas G. Altman · BMJ | 15 Jul 2004 | 1,620 |
| 26 | Coronavirus Disease 2019 Case Surveillance — United States, January 22–May 30, 2020 Erin K. Stokes, Laura Divens Zambrano, Kayla N. Anderson et al. · MMWR Morbidity and Mortality Weekly Report | 15 Jun 2020 | 1,604 |
| 27 | Assessing a mixture model for clustering with the integrated completed likelihood Christophe Biernacki, Gilles Celeux, G. Govaert · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 2000 | 1,547 |
| 28 | 2013 NCHS Urban-Rural Classification Scheme for Counties. Deborah D. Ingram, Sheila J. Franco · PubMed | 2012 | 1,531 |
| 29 | Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet Günther Eysenbach · Journal of Medical Internet Research | 27 Mar 2009 | 1,462 |
| 30 | Novelty detection: a review—part 1: statistical approaches Markos Markou, Sameer Kumar Singh · Signal Processing | 16 Sep 2003 | 1,436 |
| 31 | An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data Yongze Song, Jinfeng Wang, Yong Ge et al. · GIScience & Remote Sensing | 12 May 2020 | 1,324 |
| 32 | Selection Bias in Web Surveys Jelke G. Bethlehem · International Statistical Review | 18 Jun 2010 | 1,315 |
| 33 | Data Resource Profile: The National Health Information Database of the National Health Insurance Service in South Korea Sang Cheol Seong, Yeon-Yong Kim, Young‐Ho Khang et al. · International Journal of Epidemiology | 29 Oct 2016 | 1,298 |
| 34 | The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic Alessio Signorini, Alberto M. Segre, Philip M. Polgreen · PLoS ONE | 4 May 2011 | 1,293 |
| 35 | Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping David G Clayton, John Martin Kaldor · Biometrics | Sep 1987 | 1,282 |
| 36 | Digital technologies in the public-health response to COVID-19 Jobie Budd, Benjamin S. Miller, Erin Manning et al. · Nature Medicine | Aug 2020 | 1,271 |
| 37 | The completeness of the Swedish Cancer Register – a sample survey for year 1998 Lotti Barlow, Kerstin Westergren, Lars Holmberg et al. · Acta Oncologica | 3 Sep 2008 | 1,240 |
| 38 | COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis Md Saiful Islam, Tonmoy Sarkar, Sazzad Hossain Khan et al. · American Journal of Tropical Medicine and Hygiene | 11 Aug 2020 | 1,224 |
| 39 | Public Participation Geographic Information Systems: A Literature Review and Framework Renee E. Sieber · Annals of the Association of American Geographers | Sep 2006 | 1,216 |
| 40 | Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations Jonathan H. Chen, Steven M. Asch · New England Journal of Medicine | 28 Jun 2017 | 1,205 |
| 41 | Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate David André Broniatowski, Amelia Jamison, SiHua Qi et al. · American Journal of Public Health | 23 Aug 2018 | 1,203 |
| 42 | Geocoding and Monitoring of US Socioeconomic Inequalities in Mortality and Cancer Incidence: Does the Choice of Area-based Measure and Geographic Level Matter?: The Public Health Disparities Geocoding Project Nancy R Krieger · American Journal of Epidemiology | 26 Aug 2002 | 1,199 |
| 43 | Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias Yoan Fourcade, Jan O. Engler, Dennis Rödder et al. · PLoS ONE | 12 May 2014 | 1,184 |
| 44 | A Space–Time Permutation Scan Statistic for Disease Outbreak Detection Martin Kulldorff, Richard T. Heffernan, Jessica Hartman et al. · PLoS Medicine | 14 Feb 2005 | 1,179 |
| 45 | Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls Pratik Sinha, Carolyn S. Calfee, Kevin Delucchi · Critical Care Medicine | 8 Nov 2020 | 1,176 |
| 46 | The Use of Google Trends in Health Care Research: A Systematic Review Sudhakar V. Nuti, Brian Wayda, Isuru Ranasinghe et al. · PLoS ONE | 22 Oct 2014 | 1,137 |
| 47 | Natural Scales in Geographical Patterns Telmo Menezes, Camille Roth · arXiv (Cornell University) | 4 Apr 2017 | 1,130 |
| 48 | Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation Muki Haklay | 29 Jun 2012 | 1,084 |
| 49 | REASSURED diagnostics to inform disease control strategies, strengthen health systems and improve patient outcomes Kevin J. Land, Debrah I. Boeras, Xiang‐Sheng Chen et al. · Nature Microbiology | 22 Nov 2018 | 1,074 |
| 50 | ESTIMATING PREVALENCE FROM THE RESULTS OF A SCREENING TEST Walter J. Rogan, Beth C. Gladen · American Journal of Epidemiology | 1978 | 1,049 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.