Mauricio Santillana
Researcher Next ID · RN-043611
Researcher · Mathematics
Boston, Mexico
- Works count
- 396
- Citation count
- 12,524
- H-index
- 50
- i10-index
- 115
Research interests
Publications
Trust in Physicians and Hospitals During the COVID-19 Pandemic in a 50-State Survey of US Adults
JAMA Network Open · 2024 · https://doi.org/10.1001/jamanetworkopen.2024.24984
Association of Post–COVID-19 Condition Symptoms and Employment Status
JAMA Network Open · 2023 · https://doi.org/10.1001/jamanetworkopen.2022.56152
Prevalence and Correlates of Long COVID Symptoms Among US Adults
JAMA Network Open · 2022 · https://doi.org/10.1001/jamanetworkopen.2022.38804
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
Science Advances · 2021 · https://doi.org/10.1126/sciadv.abd6989
SARS-CoV-2 RNA concentrations in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases
The Science of The Total Environment · 2021 · https://doi.org/10.1016/j.scitotenv.2021.150121
Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile
Science · 2021 · https://doi.org/10.1126/science.abg5298
Aggregated mobility data could help fight COVID-19
Science · 2020 · https://doi.org/10.1126/science.abb8021
Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak
Cancer Discovery · 2020 · https://doi.org/10.1158/2159-8290.cd-20-0422
Effect of non-pharmaceutical interventions to contain COVID-19 in China
Nature · 2020 · https://doi.org/10.1038/s41586-020-2293-x
The role of absolute humidity on transmission rates of the COVID-19 outbreak
medRxiv · 2020 · https://doi.org/10.1101/2020.02.12.20022467
Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China
medRxiv · 2020 · https://doi.org/10.1101/2020.03.03.20029843
The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales
Scientific Reports · 2020 · https://doi.org/10.1038/s41598-020-74089-7
Rates of increase of antibiotic resistance and ambient temperature in Europe: a cross-national analysis of 28 countries between 2000 and 2016
Eurosurveillance · 2020 · https://doi.org/10.2807/1560-7917.es.2020.25.45.1900414
Genomic, epidemiological and digital surveillance of Chikungunya virus in the Brazilian Amazon
PLoS neglected tropical diseases · 2019 · https://doi.org/10.1371/journal.pntd.0007065
Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches
Nature Communications · 2019 · https://doi.org/10.1038/s41467-018-08082-0
Antibiotic resistance increases with local temperature
Nature Climate Change · 2018 · https://doi.org/10.1038/s41558-018-0161-6
Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data
PLoS neglected tropical diseases · 2017 · https://doi.org/10.1371/journal.pntd.0005295
Advances in using Internet searches to track dengue
PLoS Computational Biology · 2017 · https://doi.org/10.1371/journal.pcbi.1005607
Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico
Scientific Reports · 2016 · https://doi.org/10.1038/srep33707
Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak
JMIR Public Health and Surveillance · 2016 · https://doi.org/10.2196/publichealth.5814
Accurate estimation of influenza epidemics using Google search data via ARGO
Proceedings of the National Academy of Sciences · 2015 · https://doi.org/10.1073/pnas.1515373112
Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons
American Journal of Public Health · 2015 · https://doi.org/10.2105/ajph.2015.302696
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
PLoS Computational Biology · 2015 · https://doi.org/10.1371/journal.pcbi.1004513
A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives
Journal of Medical Internet Research · 2014 · https://doi.org/10.2196/jmir.3416
What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?
American Journal of Preventive Medicine · 2014 · https://doi.org/10.1016/j.amepre.2014.05.020
Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends
PLoS neglected tropical diseases · 2014 · https://doi.org/10.1371/journal.pntd.0002713
Current projects
No projects listed.