J. Albuquerque

发表

Schistosomiasis transmission and environmental change: a spatio-temporal analysis in Porto de Galinhas, Pernambuco - Brazil

C. Barbosa, Elainne Christine de Souza Gomes, O. Leal-Neto, 2012, International Journal of Health Geographics.

Saúde na Copa: The World’s First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, Brazil

M. Smolinski, E. Cesse, J. Albuquerque, 2017, JMIR public health and surveillance.

Forecast a one-dimensional stochastic automaton

Marcelo G. da Silva, T. Ferreira, J. Albuquerque, 2012 .

ASSESSMENT OF THE FOOT-AND-MOUTH DISEASE SURVEILLANCE SYSTEM IN BRAZIL

K.R. Santoro, J. Albuquerque, O. Fonseca-Rodríguez, 2022, Preventive Veterinary Medicine.

Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the semiarid municipalities of Pernambuco, Brazil

Marco A. O. Domingues, J. C. A. Filho, J. Albuquerque, 2020 .

Use of Vegetation Cover Index (ICV) to Identify Susceptible Areas to Desertification Process in the Municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil

Marco A. O. Domingues, J. Albuquerque, Hernández Silva, 2020, Journal of Hyperspectral Remote Sensing.

Outcomes of critically ill patients with acute kidney injury in COVID-19 infection: an observational study

J. Albuquerque, A. Likaka, F. Teles, 2021, Renal failure.

SPECTRAL CALCULATION FOR CARBON STOCK ESTIMATION IN FRAGMENTS OF THE BRAZILIAN ATLANTIC FOREST: CASE STUDY CARRIED OUT IN THE ENVIRONMENTAL PROTECTION AREA OF GUADALUPE ON THE SOUTHERN COAST OF THE STATE OF PERNAMBUCO - BR

J. Albuquerque, Hernández Silva, Eric Bem dos Santos, 2020 .

Congenital and Blood Transfusion Transmission of Chagas Disease: A Framework Using Mathematical Modeling

Clara Prats, Jordi Gomez i Prat, Daniel López Codina, 2018, Complex..

Development of A User-Driven, Web-Based Dashboard Leveraging COVID-19 Mathematical Models for Rapid Decision Support – A Case Study in Malawi (Preprint)

Maganizo Monawe, J. Albuquerque, M. Macheca, 2021 .

SARS-CoV-2 sewage surveillance in low-income countries: potential and challenges

S. Gavazza, J. Albuquerque, Hernández Silva, 2021 .

Using discrete Ricci curvatures to infer COVID-19 epidemic network fragility and systemic risk

Jones Albuquerque, Hernande P da Silva, Danillo Barros de Souza, 2021, Journal of Statistical Mechanics: Theory and Experiment.

Using curvature to infer COVID-19 fractal epidemic network fragility and systemic risk

Jones Albuquerque, Fernando A N Santos, Danillo Barros de Souza, 2020, medRxiv.

The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time

Onicio B Leal Neto, Cesar M Albuquerque, Jones O Albuquerque, 2014, JMIR mHealth and uHealth.

A two years simulation using a real data cellular automaton: A predictive case study with the schistosomiasis expansion process along the coastline of Brazil

C. Barbosa, J. Albuquerque, M. Souza, 2013 .

Spatial pattern, water use and risk levels associated with the transmission of schistosomiasis on the north coast of Pernambuco, Brazil.

R. Souza-Santos, C. Barbosa, Elainne Christine de Souza Gomes, 2010, Cadernos de saude publica.

Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning

W. Souza, O. Leal-Neto, J. Albuquerque, 2020, International Journal of Medical Informatics.

Design and implementation of an electronic nose system for real-time detection of marijuana

Lucas Sampaio Leite, Valeria Visani, Paulo César Florentino Marques, 2021 .

The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

Clara Prats, Mateu Espasa, Jones Albuquerque, 2017, JMIR research protocols.

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study

Jones Albuquerque, Mark Smolinski, Marlo Libel, 2020, JMIR public health and surveillance.

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study (Preprint)

M. Smolinski, J. Albuquerque, O. L. Leal Neto, 2019 .

Forecasting Chaotic and Non-Linear Time Series with Artificial Intelligence and Statistical Measures

Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, L J Aranildo Rodrigues, 2010 .

Timeliness of vesicular disease notification system in Brazilian foot-and-mouth disease surveillance program.

J. Albuquerque, C. Cristino, K. Santoro, 2020, Transboundary and emerging diseases.

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study

M. Smolinski, J. Albuquerque, O. L. Leal Neto, 2020, JMIR public health and surveillance.

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study (Preprint)

M. Smolinski, J. Albuquerque, O. L. Leal Neto, 2019 .