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Πλοήγηση ανά Θέμα "Bayes Theorem"

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    • Application of Bayesian modeling for diagnostic assays of Mycobacterium avium subsp. paratuberculosis in sheep and goats flocks 

      Hemati Z., Meletis E., Derakhshandeh A., Haghkhah M., Kostoulas P., Singh S.V., Chaubey K.K., Gupta S. (2022)
      Background: This study aimed to screen the sera of goats and sheep from flocks suspected of Mycobacterium avium subsp. paratuberculosis (MAP) infection by a newly standardized Mce-truncated ELISA (Mt-ELISA) kit for the ...

    • Bayesian estimation of sensitivity and specificity of a commercial serum/milk ELISA against the Mycobacterium avium subsp. Paratuberculosis (MAP) antibody response for each lactation stage in Greek dairy sheep 

      Angelidou E., Kostoulas P., Leontides L. (2016)
      A total of 854 paired milk and blood samples were collected from ewes of a Greek flock and used to estimate the sensitivity and specificity of a commercial ELISA for detection of Mycobacterium avium subsp. paratuberculosis ...

    • Bayesian estimation of sensitivity and specificity of a PCR method to detect Coxiella burnetii in milk and vaginal secretions in sheep and goat samples 

      Abiri Z., Khalili M., Kostoulas P., Sharifi H., Rad M., Babaei H. (2019)
      Coxiella burnetii is a gram-negative and polymorphic rod bacterium that causes Q fever, a common zoonotic disease distributed worldwide. Widespread occurrences of the disease outbreaks indicate the importance of coordinated ...

    • Bayesian estimation of the true prevalence of paratuberculosis in Hungarian dairy cattle herds 

      Ozsvari L., Lang Z., Monostori A., Kostoulas P., Fodor I. (2020)
      Paratuberculosis is a chronic incurable disease caused by Mycobacterium avium subsp. paratuberculosis (MAP), which leads to extensive economic losses on dairy farms, and may also pose serious public health risk to the ...

    • Bayesian Evaluation of Three Serological Tests for Diagnosis of Brucella infections in Dromedary Camels Using Latent Class Models 

      Elsohaby I., Kostoulas P., Elsayed A.M., Ahmed H.A., El-Diasty M.M., Wareth G., Ghanem F.M., Arango-Sabogal J.C. (2022)
      Brucellosis is a zoonotic disease with significant economic and public health impacts. The disease has been found in ruminants, including camels, but clinical diagnosis of camel brucellosis is difficult due to the lack of ...

    • Bayesian evaluation of three serological tests for the diagnosis of bovine brucellosis in bangladesh 

      Rahman A.K.M.A., Smit S., Devleesschauwer B., Kostoulas P., Abatih E., Saegerman C., Shamsuddin M., Berkvens D., Dhand N.K., Ward M.P. (2019)
      We evaluated the performance of three serological tests – an immunoglobulin G indirect enzyme linked immunosorbent assay (iELISA), a Rose Bengal test and a slow agglutination test (SAT) – for the diagnosis of bovine ...

    • Bayesian latent class analysis when the reference test is imperfect [Analyse bayésienne à classes latentes dans les situations où le test de référence est imparfait] [Análisis bayesiano de clases latentes cuando la prueba de referencia es imperfecta] 

      Cheung A., Dufour S., Jones G., Kostoulas P., Stevenson M.A., Singanallur N.B., Firestone S.M. (2021)
      Latent class analysis (LCA) has allowed epidemiologists to overcome the practical constraints faced by traditional diagnostic test evaluation methods, which require both a gold standard diagnostic test and ample numbers ...

    • Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests 

      Hartnack S., Eusebi P., Kostoulas P. (2021)
      [No abstract available]

    • Comparative Efficacy of 5 Exercise Types on Cardiometabolic Health in Overweight and Obese Adults: A Systematic Review and Network Meta-Analysis of 81 Randomized Controlled Trials 

      Batrakoulis A., Jamurtas A.Z., Metsios G.S., Perivoliotis K., Liguori G., Feito Y., Riebe D., Thompson W.R., Angelopoulos T.J., Krustrup P., Mohr M., Draganidis D., Poulios A., Fatouros I.G. (2022)
      Background: Although regular exercise is recommended for preventing and treating overweight/obesity, the most effective exercise type for improving cardiometabolic health in individuals with overweight/obesity remains ...

    • Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries 

      Karnakov P., Arampatzis G., Kičić I., Wermelinger F., Wälchli D., Papadimitriou C., Koumoutsakos P. (2020)
      The reproduction number is broadly considered as a key indicator for the spreading of the COVID-19 pandemic. Its estimated value is a measure of the necessity and, eventually, effectiveness of interventions imposed in ...

    • Diagnostic Accuracy Estimates for COVID-19 Real-Time Polymerase Chain Reaction and Lateral Flow Immunoassay Tests With Bayesian Latent-Class Models 

      Kostoulas P., Eusebi P., Hartnack S. (2021)
      Our objective was to estimate the diagnostic accuracy of real-time polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA) tests for coronavirus disease 2019 (COVID-19), depending on the time after symptom ...

    • Effect of nutrition on postprandial glucose control in hospitalized patients with type 2 diabetes receiving fully automated closed-loop insulin therapy 

      Banholzer N., Herzig D., Piazza C., Álvarez-Martínez M., Nakas C.T., Kosinski C., Feuerriegel S., Hovorka R., Bally L. (2021)
      Fully automated closed-loop insulin delivery may offer a novel way to manage diabetes in hospital. However, postprandial glycaemic control remains challenging. We aimed to assess the effect of nutritional intake on ...

    • Evaluation of the sensitivity and specificity of the lateral flow assay, Rose Bengal test and the complement fixation test for the diagnosis of brucellosis in cattle using Bayesian latent class analysis 

      Pfukenyi D.M., Meletis E., Modise B., Ndengu M., Kadzviti F.W., Dipuo K., Moesi K., Kostoulas P., Matope G. (2020)
      This study was conducted to evaluate the sensitivity (Se) and specificity (Sp) of the Rose Bengal test (RBT), complement fixation test (CFT), the serum lateral flow assay (LFAserum) and the blood lateral flow assay (LFAblood) ...

    • Evaluation of the sensitivity and specificity of three diagnostic tests for Coxiella burnetii infection in cattle and buffaloes in Punjab (India) using Bayesian latent class analysis 

      Meletis E., Keshavamurthy R., Dhaliwal B.B.S., Aulakh R.S., Dhand N., Kostoulas P. (2022)
      Q Fever is a zoonotic disease of significant animal and public health concern, caused by Coxiella burnetii (C. burnetii), an obligate intracellular bacterium. This study was done to evaluate the diagnostic sensitivity (DSe) ...

    • Examples of proper reporting for evaluation (Stage 2 validation) of diagnostic tests for diseases listed by the World Organisation for Animal Health [Ejemplos de comunicación adecuada de la evaluación (validación de fase 2) de pruebas de diagnóstico de enfermedades incluidas en la lista de la Organización Mundial de Sanidad Animal] [Exemples de notifications appropriées se rapportant aux études d’évaluation de tests diagnostiques (étape 2 de la validation) pour les maladies listées par l’Organisation mondiale de la santé animale] 

      Kostoulas P., Gardner I.A., Elschner M.C., Denwood M.J., Meletis E., Nielsen S.S. (2021)
      Reporting and design standards are key indicators of the quality of diagnostic accuracy (validation) studies but, with the exception of aquatic animal diseases and paratuberculosis in ruminants, there is limited guidance ...

    • First evidence of Leishmania infection in European brown hare (Lepus europaeus) in Greece: GIS analysis and phylogenetic position within the Leishmania spp 

      Tsokana C.N., Sokos C., Giannakopoulos A., Mamuris Z., Birtsas P., Papaspyropoulos K., Valiakos G., Spyrou V., Lefkaditis M., Chatzopoulos D.C., Kantere M., Manolakou K., Touloudi A., Burriel A.R., Ferroglio E., Hadjichristodoulou C., Billinis C. (2016)
      Although the existence of a sylvatic transmission cycle of Leishmania spp., independent from the domestic cycle, has been proposed, data are scarce on Leishmania infection in wild mammals in Greece. In this study, we aimed ...

    • Global, regional, and national consumption of animal-source foods between 1990 and 2018: findings from the Global Dietary Database 

      Miller V., Reedy J., Cudhea F., Zhang J., Shi P., Erndt-Marino J., Coates J., Micha R., Webb P., Mozaffarian D., Abbott P., Abdollahi M., Abedi P., Abumweis S., Adair L., Al Nsour M., Al-Daghri N., Al-Hamad N., Al-Hooti S., Al-Zenki S., Alam I., Ali J.H., Alissa E., Anderson S., Anzid K., Arambepola C., Arici M., Arsenault J., Asciak R., Barbieri H.E., Barengo N., Barquera S., Bas M., Becker W., Beer-Borst S., Bergman P., Biró L., Boindala S., Bovet P., Bradshaw D., Bukhary N.B., Bundhamcharoen K., Caballero M., Calleja N., Cao X., Capanzana M., Carmikle J., Castetbon K., Castro M., Cerdena C., Chang H.-Y., Charlton K., Chen Y., Chen M.F., Chiplonkar S., Cho Y., Chuah K.-A., Costanzo S., Cowan M., Damasceno A., Dastgiri S., De Henauw S., DeRidder K., Ding E., Dommarco R., Don R., Duante C., Duleva V., Duran Aguero S., Ekbote V., El Ati J., El Hamdouchi A., El-kour T., Eldridge A., Elmadfa I., Esteghamati A., Etemad Z., Fadzil F., Farzadfar F., Fernandez A., Fernando D., Fisberg R., Forsyth S., Gamboa-Delgado E., Garriguet D., Gaspoz J.-M., Gauci D., Geleijnse M., Ginnela B., Grosso G., Guessous I., Gulliford M., Gunnarsdottir I., Hadden W., Hadziomeragic A., Haerpfer C., Hakeem R., Haque A., Hashemian M., Hemalatha R., Henjum S., Hinkov H., Hjdaud Z., Hoffman D., Hopping B., Houshiar-rad A., Hsieh Y.-T., Hung S.-Y., Huybrechts I., Hwalla N.C., Ibrahim H.M., Ikeda N., Illescas-Zarate D., Inoue M., Janakiram C., Jayawardena R., Jeewon R., Jitnarin N., Johansson L., Jonsdottir O., Jundishapur A., Kally O., Kandiah M., Karupaiah T., Keinan-Boker L., Kelishadi R., Khadilkar A., Kim C.-I., Koksal E., Konig J., Korkalo L., Koster J., Kovalskys I., Krishnan A., Kruger H., Kuriyan-Raj R., Kweon S., Lachat C., Lai Y., Lanerolle P., Laxmaiah A., Leclercq C., Lee M.-S., Lee H.-J., Lemming E.W., Li Y., Lindström J., Ling A., Liputo N.I., Lopez-Jaramillo P., Luke A., Lukito W., Lupotto E., Ma Y., Mahdy Z.A., Malekzadeh R., Manan W., Marchioni D., Marques L.L., Marques-Vidal P., Martin-Prevel Y., Mathee A., Matsumura Y., Mazumdar P., Memon A., Mensink G., Meyer A., Mirmiran P., Mirzaei M., Misra P., Misra A., Mitchell C., Mohamed H.J., Mohammadi-Nasrabadi F., Mohammadifard N., Moy F.M., Musaiger A., Mwaniki E., Myhre J., Nagalla B., Naska A., Ng S.A., Ng S.W., Ngoan L.T., Noshad S., Ochoa A., Ocke M., Odenkirk J., Oh K., Oleas M., Olivares S., Orfanos P., Ortiz-Ulloa J., Otero J., Ovaskainen M.-L., Pakseresht M., Palacios C., Palmer P., Pan W.-H., Panagiotakos D., Parajuli R., Park M., Pekcan G., Petrova S., Piaseu N., Pitsavos C., Polasa K., Posada L., Pourfarzi F., Preston A.M., Rached I., Rahbar A.R., Rehm C., Richter A., Riley L., Salanave B., Sánchez-Romero L.M., Sarrafzadegan N., Sawada N., Sekiyama M., Selamat R., Shamsuddin K., Shariff Z.M., Sharma S., Sibai A.M., Sinkko H., Sioen I., Sisa I., Skeaff S., Steingrimsdottir L., Strand T., Suarez-Ortegon M.F., Swaminathan S., Swan G., Sygnowska E., Szabo M., Szponar L., Tan-Khouw I., Tapanainen H., Tayyem R., Tedla B., Tedstone A., Templeton R., Termote C., Thanopoulou A., Thorgeirsdottir H., Thorsdottir I., Trichopoulos D., Trichopoulou A., Tsugane S., Turrini A., van Oosterhout C., Vartiainen E., Veerman J.L., Virtanen S., Vollenweider P., Vossenaar M., Waidyatilaka I., Waskiewicz A., Waterham E., Wieler L., Wondwossen T., Wu S., Yaakub R., Yap M., Yusof S., Zaghloul S., Zajkás G., Zapata M., Zarina K., Zohoori F.V., Global Dietary Database (2022)
      Background: Diet is a major modifiable risk factor for human health and overall consumption patterns affect planetary health. We aimed to quantify global, regional, and national consumption levels of animal-source foods ...

    • Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019 

      Ledesma J.R., Ma J., Vongpradith A., Maddison E.R., Novotney A., Biehl M.H., Legrand K.E., Ross J.M., Jahagirdar D., Bryazka D., Feldman R., Abolhassani H., Abosetugn A.E., Abu-Gharbieh E., Adebayo O.M., Adnani Q.E.S., Afzal S., Ahinkorah B.O., Ahmad S.A., Ahmadi S., Rashid T.A., Salih Y.A., Aklilu A., Akunna C.J., Al Hamad H., Alahdab F., Alemayehu Y., Alene K.A., Ali B.A., Ali L., Alipour V., Alizade H., Al-Raddadi R.M., Alvis-Guzman N., Amini S., Amit A.M.L., Anderson J.A., Androudi S., Antonio C.A.T., Antony C.M., Anwer R., Arabloo J., Arja A., Asemahagn M.A., Atre S.R., Azhar G.S., Darshan B.B., Babar Z.-U.-D., Baig A.A., Banach M., Barqawi H.J., Barra F., Barrow A., Basu S., Belgaumi U.I., Bhagavathula A.S., Bhardwaj N., Bhardwaj P., Bhattacharjee N.V., Bhattacharyya K., Bijani A., Bikbov B., Boloor A., Briko N.I., Buonsenso D., Nagaraja S.B., Butt Z.A., Carter A., Carvalho F., Charan J., Chatterjee S., Chattu S.K., Chattu V.K., Christopher D.J., Chu D.-T., Claassens M.M., Dadras O., Dagnew A.B., Dai X., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Dhamnetiya D., Dianatinasab M., Diaz D., Doan L.P., Eftekharzadeh S., Elhadi M., Emami A., Enany S., Faraon E.J.A., Farzadfar F., Fernandes E., Desideri L.F., Filip I., Fischer F., Foroutan M., Frank T.D., Garcia-Basteiro A.L., Garcia-Calavaro C., Garg T., Geberemariyam B.S., Ghadiri K., Ghashghaee A., Golechha M., Goodridge A., Gupta B., Gupta S., Gupta V.B., Gupta V.K., Haider M.R., Hamidi S., Hanif A., Haque S., Harapan H., Hargono A., Hasaballah A.I., Hashi A., Hassan S., Hassankhani H., Hayat K., Hezam K., Holla R., Hosseinzadeh M., Hostiuc M., Househ M., Hussain R., Ibitoye S.E., Ilic I.M., Ilic M.D., Irvani S.S.N., Ismail N.E., Itumalla R., Jaafari J., Jacobsen K.H., Jain V., Javanmardi F., Jayapal S.K., Jayaram S., Jha R.P., Jonas J.B., Joseph N., Joukar F., Kabir Z., Kamath A., Kanchan T., Kandel H., Katoto P.D.M.C., Kayode G.A., Kendrick P.J., Kerbo A.A., Khajuria H., Khalilov R., Khatab K., Khoja A.T., Khubchandani J., Kim M.S., Kim Y.J., Kisa A., Kisa S., Kosen S., Koul P.A., Laxminarayana S.L.K., Koyanagi A., Krishan K., Bicer B.K., Kumar A., Kumar G.A., Kumar N., Kumar N., Kwarteng A., Lak H.M., Lal D.K., Landires I., Lasrado S., Lee S.W.H., Lee W.-C., Lin C., Liu X., Lopukhov P.D., Lozano R., Machado D.B., Kunjathur S.M., Madi D., Mahajan P.B., Majeed A., Malik A.A., Martins-Melo F.R., Mehta S., Memish Z.A., Mendoza W., Menezes R.G., Merie H.E., Mersha A.G., Mesregah M.K., Mestrovic T., Mheidly N.M., Misra S., Mithra P., Moghadaszadeh M., Mohammadi M., Mohammadian-Hafshejani A., Mohammed S., Molokhia M., Moni M.A., Al Montasir A., Moore C.E., Nagarajan A.J., Nair S., Nair S., Naqvi A.A., Swamy S.N., Nayak B.P., Nazari J., Kandel S.N., Nguyen T.H., Nixon M.R., Nnaji C.A., Ntsekhe M., Nuñez-Samudio V., Oancea B., Odukoya O.O., Olagunju A.T., Oren E., Mahesh P.A., Parthasarathi R., Kan F.P., Pattanshetty S.M., Paudel R., Paul P., Pawar S., Pepito V.C.F., Perico N., Pirestani M., Polibin R.V., Postma M.J., Pourshams A., Prashant A., Pribadi D.R.A., Radfar A., Rafei A., Rahim F., Rahimi-Movaghar V., Rahman M., Rahman M., Rahmani A.M., Ranasinghe P., Rao C.R., Rawaf D.L., Rawaf S., Reitsma M.B., Remuzzi G., Renzaho A.M.N., Reta M.A., Rezaei N., Rezahosseini O., Rezai M.S., Rezapour A., Roshandel G., Roshchin D.O., Sabour S., Saif-Ur-rahman K.M., Salam N., Kafl H.S., Samaei M., Samy A.M., Saroshe S., Sartorius B., Sathian B., Sawyer S.M., Senthilkumaran S., Seylani A., Shafaat O., Shaikh M.A., Sharaf K., Shetty R.S., Shigematsu M., Shin J.I., Silva J.P., Singh J.K., Sinha S., Skryabin V.Y., Skryabina A.A., Spurlock E.E., Sreeramareddy C.T., Steiropoulos P., Sufyan M.B., Tabuchi T., Tadesse E.G., Tamir Z., Tarkang E.E., Tekalegn Y., Tesfay F.H., Tessema B., Thapar R., Tleyjeh I.I., Tobe-Gai R., Tran B.X., Tsegaye B., Tsegaye G.W., Ullah A., Umeokonkwo C.D., Tahbaz S.V., Vo B., Vu G.T., Waheed Y., Walters M.K., Whisnant J.L., Woldekidan M.A., Wubishet B.L., Jabbari S.H.Y., Yazie T.S.Y., Yeshaw Y., Yi S., Yigit V., Yonemoto N., Yu C., Yunusa I., Zastrozhin M.S., Zastrozhina A., Zhang Z.-J., Zumla A., Mokdad A.H., Salomon J.A., Reiner R.C., Jr., Lim S.S., Naghavi M., Vos T., Hay S.I., Murray C.J.L., Kyu H.H., GBD 2019 Tuberculosis Collaborators (2022)
      Background: Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health ...

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

      Khan M.K., Islam MdN., Hassan J., Paul S.K., Islam M.A., Pateras K., Kostoulas P., Ward M.P., Rahman A.K.M.A., Alam MdM. (2022)
      Background The 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. ...

    • Initial psychometric testing of the coach-adapted version of the empowering and disempowering motivational climate questionnaire: A Bayesian approach 

      Solstad B.E., Stenling A., Ommundsen Y., Wold B., Heuzé J.-P., Sarrazin P., Castillo I., Cruz J., Hall H., Papaioannou A., Duda J.L. (2020)
      The present study examined the psychometric properties of the coach-adapted version of the Empowering and Disempowering Motivational Climate Questionnaire (EDMCQ) using Bayesian structural equation modelling (BSEM). The ...