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researcher

L. Clemente

3 papers hereh-index 10563 citations20 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.QM1
  • 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 3 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

1 paper · 1 filter

q-bio.QM2022

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Lucas M. Stolerman, Leonardo Clemente, Canelle Poirier +5

The ongoing COVID-19 pandemic continues to affect communities around the world. To date, almost 6 million people have died as a consequence of COVID-19, and more than one-quarter o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.