TY  - JOUR
AU  - Dente, Maria Grazia
AU  - Riccardo, Flavia
AU  - Bolici, Francesco
AU  - Colella, Nello Augusto
AU  - Jovanović, Verica
AU  - Drakulović, Mitra
AU  - Vasić, Milena
AU  - Mamlouk, Habiba
AU  - Maazaoui, Latifa
AU  - Bejaoui, Mondher
AU  - Zakhashvili, Khatuna
AU  - Kalandadze, Irine
AU  - Imnadze, Paata
AU  - Declich, Silvia
AU  - Knjeginić, Vesna
AU  - Stojković, Borka
AU  - Labus, Tatjana
AU  - Milicević, Vesna
AU  - Veljović, Ljubiša
AU  - Maksimović-Zorić, Jelena
AU  - Stoiljković, Vera
AU  - Filipović-Vignjević, Svetlana
AU  - Protić, Jelena
AU  - Zgomba, Marija
AU  - Petrić, Dusan
AU  - Despot, Dragana
AU  - Pesić, Branislav
AU  - Serović, Katarina
AU  - Aleksić, Ivan
AU  - Đurić, Ivana
AU  - Ilić, Dragan
AU  - Vrga, Svetlana
AU  - Pavlović, Ljiljana
AU  - Plavsa, Dragana
AU  - Grego, Edita
AU  - Harabech, Kaouther
AU  - Ben Alaya, Nissaf
AU  - Bougatef, Souha
AU  - Triki, Henda
AU  - Bouattour, Ali
AU  - Rebhi, Mohamed
AU  - Daaboub, Jabeur
AU  - Somai, Lamia
AU  - Zerlli, Malek
AU  - Zerlli, Malek
AU  - Oukaili, Kaouther
AU  - Ammar, Heni Haj
AU  - Sghaier, Chedia
AU  - Fatnassi, Naouel
AU  - Kalthoum, Sana
AU  - Dhaouadi, Anissa
AU  - Ben Youness, Abdelhak
AU  - Mahale, Issam
AU  - Marzouk, Mongi
AU  - Ben Bdira, Sassi
AU  - Grira, Samia
AU  - Ayadi, Sonia
AU  - Mastouri, Maha
AU  - Faten, Allad
AU  - Abdelkader, Ben
AU  - Chakhunashvili, Giorgi
AU  - Babuadze, Giorgi
AU  - Mamuchishvili, Nana
AU  - Chanturia, Gvantsa
AU  - Adeishvili, Ekaterine
AU  - Avaliani, Lasha
AU  - Ninidze, Lena
AU  - Kartskhia, Natia
AU  - Gulbani, Ana
AU  - Kokhreidze, Maka
AU  - Donduashvili, Marina
AU  - Kekelidze, Anna
PY  - 2019
UR  - http://intor.torlakinstitut.com/handle/123456789/535
AB  - Background In the Mediterranean and Black Sea Region, arbovirus infections are emerging infectious diseases. Their surveillance can benefit from one health inter-sectoral collaboration; however, no standardized methodology exists to study One Health surveillance. Methods We designed a situation analysis study to document how integration of laboratory/clinical human, animal and entomological surveillance of arboviruses was being implemented in the Region. We applied a framework designed to assess three levels of integration: policy/institutional, data collection/data analysis and dissemination. We tested the use of Business Process Modelling Notation (BPMN) to graphically present evidence of inter-sectoral integration. Results Serbia, Tunisia and Georgia participated in the study. West Nile Virus surveillance was analysed in Serbia and Tunisia, Crimea-Congo Haemorrhagic Fever surveillance in Georgia. Our framework enabled a standardized analysis of One Health surveillance integration, and BPMN was easily understandable and conducive to detailed discussions among different actors/institutions. In all countries, we observed integration across sectors and levels except in data collection and data analysis. Data collection was interoperable only in Georgia without integrated analysis. In all countries, surveillance was mainly oriented towards outbreak response, triggered by an index human case. Discussion The three surveillance systems we observed prove that integrated surveillance can be operationalized with a diverse spectrum of options. However, in all countries, the integrated use of data for early warning and inter-sectoral priority setting is pioneeristic. We also noted that early warning before human case occurrence is recurrently not operationally prioritized.
PB  - Wiley, Hoboken
T2  - Zoonoses and Public Health
T1  - Implementation of the One Health approach to fight arbovirus infections in the Mediterranean and Black Sea Region: Assessing integrated surveillance in Serbia, Tunisia and Georgia
EP  - 287
IS  - 3
SP  - 276
VL  - 66
DO  - 10.1111/zph.12562
ER  - 

@article{
author = "Dente, Maria Grazia and Riccardo, Flavia and Bolici, Francesco and Colella, Nello Augusto and Jovanović, Verica and Drakulović, Mitra and Vasić, Milena and Mamlouk, Habiba and Maazaoui, Latifa and Bejaoui, Mondher and Zakhashvili, Khatuna and Kalandadze, Irine and Imnadze, Paata and Declich, Silvia and Knjeginić, Vesna and Stojković, Borka and Labus, Tatjana and Milicević, Vesna and Veljović, Ljubiša and Maksimović-Zorić, Jelena and Stoiljković, Vera and Filipović-Vignjević, Svetlana and Protić, Jelena and Zgomba, Marija and Petrić, Dusan and Despot, Dragana and Pesić, Branislav and Serović, Katarina and Aleksić, Ivan and Đurić, Ivana and Ilić, Dragan and Vrga, Svetlana and Pavlović, Ljiljana and Plavsa, Dragana and Grego, Edita and Harabech, Kaouther and Ben Alaya, Nissaf and Bougatef, Souha and Triki, Henda and Bouattour, Ali and Rebhi, Mohamed and Daaboub, Jabeur and Somai, Lamia and Zerlli, Malek and Zerlli, Malek and Oukaili, Kaouther and Ammar, Heni Haj and Sghaier, Chedia and Fatnassi, Naouel and Kalthoum, Sana and Dhaouadi, Anissa and Ben Youness, Abdelhak and Mahale, Issam and Marzouk, Mongi and Ben Bdira, Sassi and Grira, Samia and Ayadi, Sonia and Mastouri, Maha and Faten, Allad and Abdelkader, Ben and Chakhunashvili, Giorgi and Babuadze, Giorgi and Mamuchishvili, Nana and Chanturia, Gvantsa and Adeishvili, Ekaterine and Avaliani, Lasha and Ninidze, Lena and Kartskhia, Natia and Gulbani, Ana and Kokhreidze, Maka and Donduashvili, Marina and Kekelidze, Anna",
year = "2019",
abstract = "Background In the Mediterranean and Black Sea Region, arbovirus infections are emerging infectious diseases. Their surveillance can benefit from one health inter-sectoral collaboration; however, no standardized methodology exists to study One Health surveillance. Methods We designed a situation analysis study to document how integration of laboratory/clinical human, animal and entomological surveillance of arboviruses was being implemented in the Region. We applied a framework designed to assess three levels of integration: policy/institutional, data collection/data analysis and dissemination. We tested the use of Business Process Modelling Notation (BPMN) to graphically present evidence of inter-sectoral integration. Results Serbia, Tunisia and Georgia participated in the study. West Nile Virus surveillance was analysed in Serbia and Tunisia, Crimea-Congo Haemorrhagic Fever surveillance in Georgia. Our framework enabled a standardized analysis of One Health surveillance integration, and BPMN was easily understandable and conducive to detailed discussions among different actors/institutions. In all countries, we observed integration across sectors and levels except in data collection and data analysis. Data collection was interoperable only in Georgia without integrated analysis. In all countries, surveillance was mainly oriented towards outbreak response, triggered by an index human case. Discussion The three surveillance systems we observed prove that integrated surveillance can be operationalized with a diverse spectrum of options. However, in all countries, the integrated use of data for early warning and inter-sectoral priority setting is pioneeristic. We also noted that early warning before human case occurrence is recurrently not operationally prioritized.",
publisher = "Wiley, Hoboken",
journal = "Zoonoses and Public Health",
title = "Implementation of the One Health approach to fight arbovirus infections in the Mediterranean and Black Sea Region: Assessing integrated surveillance in Serbia, Tunisia and Georgia",
pages = "287-276",
number = "3",
volume = "66",
doi = "10.1111/zph.12562"
}

Dente, M. G., Riccardo, F., Bolici, F., Colella, N. A., Jovanović, V., Drakulović, M., Vasić, M., Mamlouk, H., Maazaoui, L., Bejaoui, M., Zakhashvili, K., Kalandadze, I., Imnadze, P., Declich, S., Knjeginić, V., Stojković, B., Labus, T., Milicević, V., Veljović, L., Maksimović-Zorić, J., Stoiljković, V., Filipović-Vignjević, S., Protić, J., Zgomba, M., Petrić, D., Despot, D., Pesić, B., Serović, K., Aleksić, I., Đurić, I., Ilić, D., Vrga, S., Pavlović, L., Plavsa, D., Grego, E., Harabech, K., Ben Alaya, N., Bougatef, S., Triki, H., Bouattour, A., Rebhi, M., Daaboub, J., Somai, L., Zerlli, M., Zerlli, M., Oukaili, K., Ammar, H. H., Sghaier, C., Fatnassi, N., Kalthoum, S., Dhaouadi, A., Ben Youness, A., Mahale, I., Marzouk, M., Ben Bdira, S., Grira, S., Ayadi, S., Mastouri, M., Faten, A., Abdelkader, B., Chakhunashvili, G., Babuadze, G., Mamuchishvili, N., Chanturia, G., Adeishvili, E., Avaliani, L., Ninidze, L., Kartskhia, N., Gulbani, A., Kokhreidze, M., Donduashvili, M.,& Kekelidze, A.. (2019). Implementation of the One Health approach to fight arbovirus infections in the Mediterranean and Black Sea Region: Assessing integrated surveillance in Serbia, Tunisia and Georgia. in Zoonoses and Public Health
Wiley, Hoboken., 66(3), 276-287.
https://doi.org/10.1111/zph.12562

Dente MG, Riccardo F, Bolici F, Colella NA, Jovanović V, Drakulović M, Vasić M, Mamlouk H, Maazaoui L, Bejaoui M, Zakhashvili K, Kalandadze I, Imnadze P, Declich S, Knjeginić V, Stojković B, Labus T, Milicević V, Veljović L, Maksimović-Zorić J, Stoiljković V, Filipović-Vignjević S, Protić J, Zgomba M, Petrić D, Despot D, Pesić B, Serović K, Aleksić I, Đurić I, Ilić D, Vrga S, Pavlović L, Plavsa D, Grego E, Harabech K, Ben Alaya N, Bougatef S, Triki H, Bouattour A, Rebhi M, Daaboub J, Somai L, Zerlli M, Zerlli M, Oukaili K, Ammar HH, Sghaier C, Fatnassi N, Kalthoum S, Dhaouadi A, Ben Youness A, Mahale I, Marzouk M, Ben Bdira S, Grira S, Ayadi S, Mastouri M, Faten A, Abdelkader B, Chakhunashvili G, Babuadze G, Mamuchishvili N, Chanturia G, Adeishvili E, Avaliani L, Ninidze L, Kartskhia N, Gulbani A, Kokhreidze M, Donduashvili M, Kekelidze A. Implementation of the One Health approach to fight arbovirus infections in the Mediterranean and Black Sea Region: Assessing integrated surveillance in Serbia, Tunisia and Georgia. in Zoonoses and Public Health. 2019;66(3):276-287.
doi:10.1111/zph.12562 .

Dente, Maria Grazia, Riccardo, Flavia, Bolici, Francesco, Colella, Nello Augusto, Jovanović, Verica, Drakulović, Mitra, Vasić, Milena, Mamlouk, Habiba, Maazaoui, Latifa, Bejaoui, Mondher, Zakhashvili, Khatuna, Kalandadze, Irine, Imnadze, Paata, Declich, Silvia, Knjeginić, Vesna, Stojković, Borka, Labus, Tatjana, Milicević, Vesna, Veljović, Ljubiša, Maksimović-Zorić, Jelena, Stoiljković, Vera, Filipović-Vignjević, Svetlana, Protić, Jelena, Zgomba, Marija, Petrić, Dusan, Despot, Dragana, Pesić, Branislav, Serović, Katarina, Aleksić, Ivan, Đurić, Ivana, Ilić, Dragan, Vrga, Svetlana, Pavlović, Ljiljana, Plavsa, Dragana, Grego, Edita, Harabech, Kaouther, Ben Alaya, Nissaf, Bougatef, Souha, Triki, Henda, Bouattour, Ali, Rebhi, Mohamed, Daaboub, Jabeur, Somai, Lamia, Zerlli, Malek, Zerlli, Malek, Oukaili, Kaouther, Ammar, Heni Haj, Sghaier, Chedia, Fatnassi, Naouel, Kalthoum, Sana, Dhaouadi, Anissa, Ben Youness, Abdelhak, Mahale, Issam, Marzouk, Mongi, Ben Bdira, Sassi, Grira, Samia, Ayadi, Sonia, Mastouri, Maha, Faten, Allad, Abdelkader, Ben, Chakhunashvili, Giorgi, Babuadze, Giorgi, Mamuchishvili, Nana, Chanturia, Gvantsa, Adeishvili, Ekaterine, Avaliani, Lasha, Ninidze, Lena, Kartskhia, Natia, Gulbani, Ana, Kokhreidze, Maka, Donduashvili, Marina, Kekelidze, Anna, "Implementation of the One Health approach to fight arbovirus infections in the Mediterranean and Black Sea Region: Assessing integrated surveillance in Serbia, Tunisia and Georgia" in Zoonoses and Public Health, 66, no. 3 (2019):276-287,
https://doi.org/10.1111/zph.12562 . .

TY  - JOUR
AU  - Dimitrijević, Dragana
AU  - Ilić, Dragan
AU  - Rakić-Adrović, Slavica
AU  - Šuljagić, Vesna
AU  - Pelemiš, Mijomir
AU  - Stevanović, Goran
AU  - Milinković, Milunka
AU  - Sipetić-Grujicić, Sandra
PY  - 2017
UR  - http://intor.torlakinstitut.com/handle/123456789/498
AB  - A retrospective analysis of the surveillance data on laboratory confirmed cases of influenza in 4 post pandemic seasons in Serbia was performed to evaluate predictors of hospitalization and admission to intensive care units (ICU). The specimens, including nasal and throat swabs were tested for influenza. Univariate and multivariate logistic regression analyses were perfoimed. Data of a total of 777 confirmed influenza cases were analyzed. Age  gt  65 years, the presence of any co-morbidity or the presence of  gt = 2 comorbidities, infection with influenza virus subtype A (H1) pdm09, and an interval greater than 3 days between symptom onset and the first physician visit, were independently associated with hospital admission. These variables, as well as infection with non-subtype influenza virus A, were predictors for ICU admission. Obesity and chronic neurological disease were independent predictors for ICU admission but not hospitalization. Overall, 41.7% of patients with influenza had at least one co-morbidity, but only 3% of all patients were vaccinated against influenza. Identification of high risk groups and education of these groups regarding their increased susceptibility to severe forms of influenza, and in particular regarding the importance of influenza vaccination, is essential.
PB  - Natl Inst Infectious Diseases, Tokyo
T2  - Japanese Journal of Infectious Diseases
T1  - Predictors of Hospitalization and Admission to Intensive Care Units of Influenza Patients in Serbia through Four Influenza Seasons from 2010/2011 to 2013/2014
EP  - 283
IS  - 3
SP  - 275
VL  - 70
DO  - 10.7883/yoken.JJID.2016.210
ER  - 

@article{
author = "Dimitrijević, Dragana and Ilić, Dragan and Rakić-Adrović, Slavica and Šuljagić, Vesna and Pelemiš, Mijomir and Stevanović, Goran and Milinković, Milunka and Sipetić-Grujicić, Sandra",
year = "2017",
abstract = "A retrospective analysis of the surveillance data on laboratory confirmed cases of influenza in 4 post pandemic seasons in Serbia was performed to evaluate predictors of hospitalization and admission to intensive care units (ICU). The specimens, including nasal and throat swabs were tested for influenza. Univariate and multivariate logistic regression analyses were perfoimed. Data of a total of 777 confirmed influenza cases were analyzed. Age  gt  65 years, the presence of any co-morbidity or the presence of  gt = 2 comorbidities, infection with influenza virus subtype A (H1) pdm09, and an interval greater than 3 days between symptom onset and the first physician visit, were independently associated with hospital admission. These variables, as well as infection with non-subtype influenza virus A, were predictors for ICU admission. Obesity and chronic neurological disease were independent predictors for ICU admission but not hospitalization. Overall, 41.7% of patients with influenza had at least one co-morbidity, but only 3% of all patients were vaccinated against influenza. Identification of high risk groups and education of these groups regarding their increased susceptibility to severe forms of influenza, and in particular regarding the importance of influenza vaccination, is essential.",
publisher = "Natl Inst Infectious Diseases, Tokyo",
journal = "Japanese Journal of Infectious Diseases",
title = "Predictors of Hospitalization and Admission to Intensive Care Units of Influenza Patients in Serbia through Four Influenza Seasons from 2010/2011 to 2013/2014",
pages = "283-275",
number = "3",
volume = "70",
doi = "10.7883/yoken.JJID.2016.210"
}

Dimitrijević, D., Ilić, D., Rakić-Adrović, S., Šuljagić, V., Pelemiš, M., Stevanović, G., Milinković, M.,& Sipetić-Grujicić, S.. (2017). Predictors of Hospitalization and Admission to Intensive Care Units of Influenza Patients in Serbia through Four Influenza Seasons from 2010/2011 to 2013/2014. in Japanese Journal of Infectious Diseases
Natl Inst Infectious Diseases, Tokyo., 70(3), 275-283.
https://doi.org/10.7883/yoken.JJID.2016.210

Dimitrijević D, Ilić D, Rakić-Adrović S, Šuljagić V, Pelemiš M, Stevanović G, Milinković M, Sipetić-Grujicić S. Predictors of Hospitalization and Admission to Intensive Care Units of Influenza Patients in Serbia through Four Influenza Seasons from 2010/2011 to 2013/2014. in Japanese Journal of Infectious Diseases. 2017;70(3):275-283.
doi:10.7883/yoken.JJID.2016.210 .

Dimitrijević, Dragana, Ilić, Dragan, Rakić-Adrović, Slavica, Šuljagić, Vesna, Pelemiš, Mijomir, Stevanović, Goran, Milinković, Milunka, Sipetić-Grujicić, Sandra, "Predictors of Hospitalization and Admission to Intensive Care Units of Influenza Patients in Serbia through Four Influenza Seasons from 2010/2011 to 2013/2014" in Japanese Journal of Infectious Diseases, 70, no. 3 (2017):275-283,
https://doi.org/10.7883/yoken.JJID.2016.210 . .