Maria Joao Pereira

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Full Professor

Universidade de Lisboa Instituto Superior Técnico

Portugal

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About

Maria Joao Pereira is a Full Professor at Universidade de Lisboa Instituto Superior Técnico in Portugal. Her research focuses on spatiotemporal analysis of disease incidence, particularly related to COVID-19, as well as the economic and environmental impacts of crude oil production. Her recent publications include works on stochastic models for early warning systems and geostatistical visualization tools for disease risk assessment.

Recent Grants

Grant: Close

Ciência de Dados Espaciais para a Pandemia COVID-19

Open Date: 2021-03-01

Close Date: 2024-02-29

Grant: Close

Real-time optimization of extraction and the logistic process in highly complex geological and selective mining settings

Open Date: 2015-04-01

Close Date: 2019-03-31

Grant: Close

Center for Natural Resources and Environment

Open Date: 2015-01-01

Close Date: 2017-12-31

Grant: Close

Center for Natural Resources and Environment

Open Date: 2015-01-01

Close Date: 2017-12-31

Grant: Close

Maximising the Exploitation of Linked Open Data In Enterprise and Science

Open Date: 2013-11-01

Close Date: 2016-10-31

Articles (11)

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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PORTUGAL

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Antonio Rodríguez Lizana

Profesor Titular de Universidad

Universidad de Sevilla

SPAIN

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Tiago P. Ribeiro

Universidade da Beira Interior

PORTUGAL

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Arlindo Oliveira

Instituto Superior Técnico

PORTUGAL

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Maria Joao Pereira

Research Interests

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Contact this professor

About

Recent Grants

Articles (11)

A Stochastic Model of an Early Warning System for Detecting Anomalous Incidence Values of COVID-19

Overview of Ethnobotanical–Pharmacological Studies Carried Out on Medicinal Plants from the Serra da Estrela Natural Park: Focus on Their Antidiabetic Potential

Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022

Spatiotemporal evolution of COVID-19 in Portugal’s Mainland with self-organizing maps

Assessment of the Spatial Variability and Uncertainty of Shreddable Pruning Biomass in an Olive Grove Based on Canopy Volume and Tree Projected Area

EpiGeostats: An R Package to Facilitate Visualization of Geostatistical Disease Risk Maps

Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks

Review of the Economic and Environmental Impacts of Producing Waxy Crude Oils

Oil-in-water and water-in-oil emulsions formation and demulsification

How Do Methane, Carbon Dioxide or Fatty Acids Affect Waxy Crude Oils?

Geostatistical COVID-19 infection risk maps for Portugal

Collaborators (8)

Manuel Castro Ribeiro

Henrique Matos

Nuno Nunes

Leonardo Azevedo

Amilcar Soares

Antonio Rodríguez Lizana

Tiago P. Ribeiro

Arlindo Oliveira

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