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M. Gomes

4 papers hereh-index 171.9k citations38 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.PE2
  • nlin.AO1
  • stat.AP1
same name
  • M. Gomes — 70 papers, h 16
  • M. Gomes — 30 papers, h 16
  • M. Gomes — 12 papers, h 12
  • M. Gomes — 8 papers, h 10
  • M. Gomes — 5 papers, h 3
  • M. Gomes — 5 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20032020
most citedModelling reporting delays for disease surveillance data

133 citations · 139 across the 3 of their papers we have counts for

collaborators

4 papers

q-bio.PE2020

Inferring high-resolution human mixing patterns for disease modeling

Dina Mistry, Maria Litvinova, Ana Pastore y Piontti +12

Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for…

stat.AP2017★ 133 cited

Modelling reporting delays for disease surveillance data

Leonardo Bastos, Theodoros Economou, Marcelo Gomes +6

One difficulty for real-time tracking of epidemics is related to reporting delay. The reporting delay may be due to laboratory confirmation, logistic problems, infrastructure diffi…

q-bio.PE2013

Epidemic oscillations: Interaction between delays and seasonality

Guillermo Abramson, Sebastian Gonçalves, Marcelo F. C. Gomes

Traditional epidemic models consider that individual processes occur at constant rates. That is, an infected individual has a constant probability per unit time of recovering from…

nlin.AO2003★ 6 cited

Promiscuity and the Evolution of Sexual Transmitted Diseases

Sebastian Goncalves, Marcelo Kuperman, Marcelo Ferreira da Costa Gomes

We study the relation between different social behaviors and the onset of epidemics in a model for the dynamics of sexual transmitted diseases. The model considers the society as a…

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