Early warning of potential epidemics: A pilot application of an early warning tool to data from the pulmonary clinic of the university hospital of Thessaly, Greece

Autor: Eleftherios Meletis, Irene Poulakida, Garyfallia Perlepe, Asimina Katsea, Konstantinos Pateras, Stylianos Boutlas, Georgia Papadamou, Konstantinos Gourgoulianis, Polychronis Kostoulas

Publikováno v: Journal of Infection and Public Health, Vol 17, Iss 3, Pp 401-405 (2024)

Background & methods: This paper describes a pilot application of the Epidemic Volatility Index (EVI) to data from the pulmonary clinic of the University Hospital of Thessaly, Greece, for monitoring respiratory infections, COVID-19, and flu cases. EV

Externí odkaz: https://doaj.org/article/d805222bf71841b09892bff08697c743

The convergence epidemic volatility index (cEVI) as an alternative early warning tool for identifying waves in an epidemic

Autor: Konstantinos Pateras, Eleftherios Meletis, Matthew Denwood, Paolo Eusebi, Polychronis Kostoulas

Publikováno v: Infectious Disease Modelling, Vol 8, Iss 2, Pp 484-490 (2023)

This manuscript introduces the convergence Epidemic Volatility Index (cEVI), a modification of the recently introduced Epidemic Volatility Index (EVI), as an early warning tool for emerging epidemic waves. cEVI has a similar architectural structure a

Externí odkaz: https://doaj.org/article/2e5155058d964cc9a6943cacf68f555b

The epidemic volatility index, a novel early warning tool for identifying new waves in an epidemic

Autor: Polychronis Kostoulas, Eletherios Meletis, Konstantinos Pateras, Paolo Eusebi, Theodoros Kostoulas, Luis Furuya-Kanamori, Niko Speybroeck, Matthew Denwood, Suhail A. R. Doi, Christian L. Althaus, Carsten Kirkeby, Pejman Rohani, Navneet K. Dhand, José L. Peñalvo, Lehana Thabane, Slimane BenMiled, Hamid Sharifi, Stephen D. Walter

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)

Abstract Early warning tools are crucial for the timely application of intervention strategies and the mitigation of the adverse health, social and economic effects associated with outbreaks of epidemic potential such as COVID-19. This paper introduc

Externí odkaz: https://doaj.org/article/03890a9af813429ea5f6f4b6a637ccd6

Hierarchical true prevalence, risk factors and clinical symptoms of tuberculosis among suspects in Bangladesh.

Autor: Mohammad Kamruzzaman Khan, Md Nazimul Islam, Jayedul Hassan, Shaymal Kumar Paul, M Ariful Islam, Konstantinos Pateras, Polychronis Kostoulas, Michael P Ward, A K M Anisur Rahman, Md Mahbub Alam

Publikováno v: PLoS ONE, Vol 17, Iss 7, p e0262978 (2022)

BackgroundThe study was aimed to estimate the true prevalence of human tuberculosis (TB); identify risk factors and clinical symptoms of TB; and detect rifampicin (RIF) sensitivity in three study areas of Bangladesh.MethodsThe cross-sectional study w

Externí odkaz: https://doaj.org/article/174863fe59924d5585d236e4f59209c8

Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol

Autor: José M Castellano, Marek Majdan, In-Hwan Oh, John Kelleher, Saša Missoni, Natalija Novokmet, Ella Arensman, João Silva, Guy Fagherazzi, Marianne Van Der Sande, Silvia Riva, Joan B Soriano, David M. Pereira, Julio Ancochea, Michel Vaillant, Jörn Klein, Brecht Devleesschauwer, Patrick Soentjens, Ernestina Menasalvas, Justo Menéndez, Antigona Carmen Trofor, Olga Sánchez-Pernaute, Mihaela Lupse, Dora Buonfrate, Zubair Kabir, Jose L Penalvo, Miguel Górgolas, Paula Villares, Lucia Maria Lotrean, Lucía Llanos, Costas Tsiamis, Seval Akgün, Tamara Ursini, José L. Peñalvo, Elly Mertens, Diana Sagastume, Jelena Dimnjaković, Marija Švajda, Tamara Poljičanin, Jelena Sarac, Enisa Ademović, Ana Lúcia Baltazar, Miran Čoklo, Paula Andrea Diaz Valencia, João C. Fernandes, Enrique Javier Gómez, Paul Hynds, Polychronis Kostoulas, Lucía Llanos Jiménez, Paul Nguewa, Georgie O’Sullivan, Miguel Reina Ortiz, Gloria Soriano, Joan B. Soriano, Fernando Spilki, Mary Elizabeth Tamang, Sabrina Van Ierssel, Jakov Vuković, José M. Castellano, James Cottam, Hanne Van Tiggelen, José Barberán, Mercedes Villareal, Nerea Ruiz del Árbol, Alberto Estirado, Alberto Blázquez Herranz, David Fernandez Lobón, Paloma Chausa, David M Pereira, Morteza Hosseini, Elizabeth Hunter, Brendan Palmer, Milena Man, Mira Florea, Andrei Tudor Cernomaz, Radu Adrian Crisan-Dabija, Cristina Grigorescu, João C Fernandes, Daria Rabarova, Adriana Krsakova, Jaroslava Brnova, Janka Prnova, Jaroslav Slany, Dominika Plancikova, Nisa Boukichou Abdelkader, Adrián Peláez, Elena Ávalos, Gorane Iturricastillo, Arnoldo Santos Oviedo, Sergio Luis Lima, Antonio Herrero, Pablo Minguez, Olympia Lioupi, Eleftherios Meletis, Konstantinos Pateras, Mustafa Asfari, Nicoletta De Santis, Petronille Bogaert, Koen Blot, Miriam Saso, Mathil Vandromme, Ivan Pristas, Marko Brkic, Luka Bočkor, Ivan Dolanc, Antonija Jonjić, Iva Šunić, Tugba Gürgen Erdogan, Süleyman Çetinkünar, Cenk Belibağlı, Kübra Demir, Mustafa Görür, Turgut Bulut, K R NayarSilvia Riva, Carlo Giordani, Petra Golin, Oh In-Hwan, Seok Jun Yoon, Lina Ruíz, Juan Pablo Pérez Bedoya, Oscar Ignacio Mendoza, Camilo Hincapie, Boris Rodriguez, Noël Barengo, Juliane Deise Fleck, Matheus Nunes Weber, Lejla Burnazović-Ristić, Semra Čavaljuga, Džan Ahmed Jesenković, Lejla Džananović

Publikováno v: BMJ Open, Vol 11, Iss 11 (2021)

Introduction unCoVer—Unravelling data for rapid evidence-based response to COVID-19—is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of

Externí odkaz: https://doaj.org/article/c9e54ac90148496b8a6f0e5f43c36235