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researcher

L. Clemente

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.AP1
  • stat.OT1

identity via Semantic Scholar / OpenAlex

most citedA machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

102 citations · 102 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2020

An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time

Nicole E. Kogan, Leonardo Clemente, Parker Liautaud +14

Non-pharmaceutical interventions (NPIs) have been crucial in curbing COVID-19 in the United States (US). Consequently, relaxing NPIs through a phased re-opening of the US amid stil…

stat.OT2020★ 102 cited

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

Dianbo Liu, Leonardo Clemente, Canelle Poirier +5

We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning methodologies, to reliably…

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