ARGO specifications


Unique identifier OMICS_30380
Alternative name AutoRegression with GOogle search data
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python, R
Computer skills Advanced
Stability Stable
Maintained Yes


  • Viruses
    • Influenza A virus
    • Influenza A virus (A/Puerto Rico/8/1934(H1N1))
    • Influenza B virus


No version available


  • person_outline Mauricio Santillana
  • person_outline Samuel Kou

Publication for AutoRegression with GOogle search data

ARGO citations


Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

PMCID: 5780615
PMID: 29317382
DOI: 10.2196/publichealth.8950

[…] To understand the predictive power of each data source when used together as input, we displayed the weekly coefficient values associated with each (normalized) input variable in the ARGO(athena+Google+FNY) model, over time, in heatmaps ( and ). It can be seen that the state-level athenahealth variables have the strongest signal in both nowcast and forecast horizons, suggesting th […]


Advances in using Internet searches to track dengue

PLoS Comput Biol
PMCID: 5519005
PMID: 28727821
DOI: 10.1371/journal.pcbi.1005607

[…] ter near real-time dengue activity estimates than those obtained with previous methodologies that exploit the information separately. This also confirms that the hidden Markov model framework used by ARGO is appropriate in this context [].ARGO’s uniform out-performance of other benchmark methods for Mexico, Brazil, Thailand, and Singapore demonstrates its robustness and broad applicability. ARGO a […]

ARGO institution(s)
Department of Statistics, Harvard University, Cambridge, MA, USA; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA, USA
ARGO funding source(s)
Supported in part by National Science Foundation Grant DMS-1510446.

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