7 results on '"Petric, Dusan"'
Search Results
2. Sand flies (Diptera: Psychodidae) in eight Balkan countries: historical review and region-wide entomological survey
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Dvorak, Vit, Kasap, Ozge Erisoz, Ivovic, Vladimir, Mikov, Ognyan, Stefanovska, Jovana, Martinkovic, Franjo, Omeragic, Jasmin, Pajovic, Igor, Baymak, Devrim, Oguz, Gizem, Hlavackova, Kristyna, Gresova, Marketa, Gunay, Filiz, Vaselek, Slavica, Ayhan, Nazli, Lestinova, Tereza, Cvetkovikj, Aleksandar, Soldo, Darinka Klaric, Katerinova, Ivelina, Tchakarova, Simona, Yılmaz, Ayda, Karaoglu, Begum, Iranzo, Jose Risueno, Kadriaj, Perparim, Velo, Enkelejda, Ozbel, Yusuf, Petric, Dusan, Volf, Petr, and Alten, Bulent
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- 2020
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3. Fifth European Dirofilaria and Angiostrongylus Days (FiEDAD) 2016
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Simón, F., Kartashev, V., González-Miguel, J., Rivera, A., Diosdado, A., Gómez, P. J., Morchón, R., Siles-Lucas, M., Kartashev, Vladimir, Bastrikov, Nikolay, Ilyasov, Boris, Ermakov, Alexey, Kartashov, Sergey, Dontsov, Denis, Ambalov, Yuri, Pavlikovska, Tamara, Sagach, Olga, Nikolaenko, Svetlana, Chizh, Nina, Korzan, Alla, Salauyova, Alena, González-Miguel, Javier, Morchón, Rodrigo, Siles-Lucas, Mar, Simon, Fernando, Fok, Éva, Kucsera, István, Übleis, Sarah S., Cuk, Claudia, Nawratil, Michaela, Wimmer, Victoria, Zittra, Carina, Butter, Julia, Obwaller, Adelheid, Lebl, Karin, Zechmeister, Thomas, Weiss, Stefan, Duscher, Georg G., Auer, Herbert, Joachim, Anja, Fuehrer, Hans-Peter, Savic, Sara, Pudar, Dubravka, Petric, Dusan, Capelli, Gioia, Montarsi, Fabrizio, Silaghi, Cornelia, Kramer, Laura, Carretón, Elena, Peña, Laura, Caceres, Sara, Silvan, Gema, Illera, Juan Carlos, Montoya-Alonso, José Alberto, Yilmaz, Esra, Fritzenwanker, Moritz, Pantchev, Nikola, Lendner, Mathias, Wongkamchai, Sirichit, Otranto, Domenico, Kroidl, Inge, Dennebaum, Martin, Ramünke, Sabrina, Schaper, Roland, von Samson-Himmelstjerna, Georg, Poppert, Sven, Krücken, Jürgen, Florea, Cristian-Ionut C. N., Tudor, Poliana Gh, Olaru, Stefan P., Dobrica, Anca M., Dobrzyński, Artur, Klockiewicz, Maciej, Wysmołek, Magdalena, Czopowicz, Michał, Parzeniecka-Jaworska, Marta, Nowakowska, Joanna, Długosz, Ewa, Diakou, Anastasia, Mylonakis, Mathios, Polizopoulou, Zoe, Koutinas, Christos, Manzocchi, Simone, Di Palma, Stefano, Peloso, Martina, Milojković, Nenad, Aranđelović, Momčilo, Ćurčin, Ljubomir, Mitková, Barbora, Novotná, Marcela, Juránková, Jana, Hofmannová, Lada, Bowman, Dwight D., Modrý, David, Leschnik, Michael, Alho, Ana Margarida, Cortes, Helder C. E., Lopes, Ana Patrícia, Vila-Viçosa, Maria João, Cardoso, Luís, Belo, Silvana, de Carvalho, Luís Madeira, Vilhena, Hugo, Oliveira, Ana Cristina, Granada, Sara, Blaga, Radu, Daniel-Lesnard, Virginie, Polack, Bruno, Beurlet, Stéphanie, Martin, Coralie, Guillot, Jacques, Ciuca, Lavinia, Moroti, Ruxandra V., Arbune, Mihaela, Hurjui, Loredana, Constantin, Roman, Acatrinei, Dumitru, Miron, Liviu, Rinaldi, Laura, Simón, Fernando, Szmidt, Agnieszka, Džamić, Aleksandar M., Kalezić, Tanja, Čalovski, Ivana Čolović, Rašić, Dejan, Cvetković, Milan, Mitrović, Sanja, Gómez, Paula Josefina, Diosdado, Alicia, Panic, Vladan, Bekvalac, Rastko, Fenjac, Ivan, Potkonjak, Aleksandar, Otasevic, Suzana, Papadopoulos, Elias, Angelou, Athanasios, Gallidis, Eleftherios, Spanoudis, Kyriakos, Chandrashekar, Ramaswamy, Kosic, Ljubica Spasojevic, Lalosevic, Vesna, Naglic, Aleksandar, Simin, Stanislav, Kuruca, Ljiljana, Spasovic, Aleksandar, Krzysztof, Tomczuk, Klaudiusz, Szczepaniak, Maciek, Grzybek, Junkuszew, Andrzej, Dudko, Paulina, Nikola, Pantchev, Marzena, Stefaniak, Ryszard, Iwanicki, Ionică, Angela Monica, Leitner, Natascha, Votýpka, Jan, Mihalca, Andrei Daniel, Schnyder, Manuela, Lange, Malin, Penagos, Felipe, Hermosilla, Carlos, Taubert, Anja, Grandi, Giulio, Osterman-Lind, Eva, Forshell, Ulrika, Čabanová, Viktória, Hurníková, Zuzana, Miterpáková, Martina, Conboy, Gary, Murphy, Nicole, Hofstede, Tamara, Barutzki, Dieter, Dyachenko, Viktor, Lempereur, Laetitia, Martinelle, Ludovic, Bayrou, Calixte, Marechal, Françoise, Dalemans, Anne-Catherine, Losson, Bertrand J., Elsheikha, Hany M., Holmes, Sarah B., Gillis-Germitsch, Nina, Guselle, Nicole, Migli, Despina, Di Cesare, Angela, Psalla, Dimitra, Youlatos, Dionisios, Traversa, Donato, Gherman, Călin M., Deak, Georgiana, Ionică, Angela M., D’Amico, Gianluca, Mihalca, Andrei D., Muñoz-Caro, Tamara, Magdowski, Gerd, Gärtner, Uwe, Mejer, Helena, Szczepaniak, Klaudiusz, Tomczuk, Krzysztof, Grzybek, Maciej, Iwanicki, Ryszard, Bedel, Benjamin, Gouni, Vassiliki, Chetboul, Valérie, Benchekroun, Ghita, Blot, Stéphane, Verwaerde, Patrick, Hansen, Alice P., Vinther, Lene M., Skarbye, Line K., Olsen, Caroline S., Willesen, Jakob L., Venco, Luigi, Grillotti, Eleonora, Auriemma, Edoardo, Pampurini, Fabrizio, Garofani, Cecilia, Ibba, Fabrizio, Gutiérrez, Jesed, Velez, Juan D., Piedrahita, Diego, Chaparro, Jenny, Macchioni, Fabio, Magi, Marta, Ulivieri, Elisa, and Gori, Francesca
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Infectious Diseases ,Parasitology ,Meeting Abstracts - Published
- 2017
4. Ecology of West Nile virus across four European countries: empirical modelling of the Culex pipiens abundance dynamics as a function of weather.
- Author
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Groen, Thomas A., L'Ambert, Gregory, Bellini, Romeo, Chaskopoulou, Alexandra, Petric, Dusan, Zgomba, Marija, Marrama, Laurence, and Bicout, Dominique J.
- Subjects
WEST Nile virus ,CULEX pipiens ,MOSQUITO control ,POPULATION dynamics - Abstract
Background: Culex pipiens is the major vector of West Nile virus in Europe, and is causing frequent outbreaks throughout the southern part of the continent. Proper empirical modelling of the population dynamics of this species can help in understanding West Nile virus epidemiology, optimizing vector surveillance and mosquito control efforts. But modelling results may differ from place to place. In this study we look at which type of models and weather variables can be consistently used across different locations. Methods: Weekly mosquito trap collections from eight functional units located in France, Greece, Italy and Serbia for several years were combined. Additionally, rainfall, relative humidity and temperature were recorded. Correlations between lagged weather conditions and Cx. pipiens dynamics were analysed. Also seasonal autoregressive integrated moving-average (SARIMA) models were fitted to describe the temporal dynamics of Cx. pipiens and to check whether the weather variables could improve these models. Results: Correlations were strongest between mean temperatures at short time lags, followed by relative humidity, most likely due to collinearity. Precipitation alone had weak correlations and inconsistent patterns across sites. SARIMA models could also make reasonable predictions, especially when longer time series of Cx. pipiens observations are available. Conclusions: Average temperature was a consistently good predictor across sites. When only short time series (~ < 4 years) of observations are available, average temperature can therefore be used to model Cx. pipiens dynamics. When longer time series (~ > 4 years) are available, SARIMAs can provide better statistical descriptions of Cx. pipiens dynamics, without the need for further weather variables. This suggests that density dependence is also an important determinant of Cx. pipiens dynamics. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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5. Direct evidence for an expanded circulation area of the recently identified Balkan virus (Sandfly fever Naples virus species) in several countries of the Balkan archipelago.
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Ayhan, Nazli, Alten, Bulent, Ivovic, Vladimir, Dvořák, Vit, Martinkovic, Franjo, Omeragic, Jasmin, Stefanovska, Jovana, Petric, Dusan, Vaselek, Slavica, Baymak, Devrim, Kasap, Ozge E., Volf, Petr, and Charrel, Remi N.
- Subjects
SAND flies ,PUBLIC health ,ENDEMIC diseases ,BUNYAVIRUSES ,ARBOVIRUS diseases ,MENINGITIS - Abstract
Background: Recently, Balkan virus (BALKV, family Phenuiviridae, genus Phlebovirus) was discovered in sand flies collected in Albania and genetically characterised as a member of the Sandfly fever Naples species complex. To gain knowledge concerning the geographical area where exposure to BALKV exists, entomological surveys were conducted in 2014 and 2015, in Croatia, Bosnia and Herzegovina (BH), Kosovo, Republic of Macedonia and Serbia. Results: A total of 2830 sand flies were trapped during 2014 and 2015 campaigns, and organised as 263 pools. BALKV RNA was detected in four pools from Croatia and in one pool from BH. Phylogenetic relationships were examined using sequences in the S and L RNA segments. Study of the diversity between BALKV sequences from Albania, Croatia and BH showed that Albanian sequences were the most divergent (9-11% [NP]) from the others and that Croatian and BH sequences were grouped (0.9-5.4% [NP]; 0.7-5% [L]). The sand fly infection rate of BALKV was 0.26% in BH and 0.27% in Croatia. Identification of the species content of pools using cox1 and cytb partial regions showed that the five BALKV positive pools contained Phlebotomus neglectus DNA; in four pools, P neglectus was the unique species, whereas P. tobbi DNA was also detected in one pool. Conclusions: We report here (i) the first direct evidence that the Balkan virus initially described in coastal Albania has a much wider dissemination area than originally believed, (ii) two real-time RT-PCR assays that may be useful for further screening of patients presenting with fever of unknown origin that may be caused by Balkan virus infection, (iii) entomological results suggesting that Balkan virus is likely transmitted by Phlebotomus neglectus, and possibly other sand fly species of the subgenus Larroussius. So far, BALKV has been detected only in sand flies. Whether BALKV can cause disease in humans is unknown and remains to be investigated. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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6. Ecology of West Nile virus across four European countries: review of weather profiles, vector population dynamics and vector control response.
- Author
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Chaskopoulou, Alexandra, L'Ambert, Gregory, Petric, Dusan, Bellini, Romeo, Zgomba, Marija, Groen, Thomas A., Marrama, Laurence, and Bicout, Dominique J.
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WEST Nile virus ,DISEASE vectors ,POPULATION dynamics ,VIRAL disease prevention ,ANIMAL health ,EPIDEMICS ,DISEASE susceptibility - Abstract
West Nile virus (WNV) represents a serious burden to human and animal health because of its capacity to cause unforeseen and large epidemics. Until 2004, only lineage 1 and 3 WNV strains had been found in Europe. Lineage 2 strains were initially isolated in 2004 (Hungary) and in 2008 (Austria) and for the first time caused a major WNV epidemic in 2010 in Greece with 262 clinical human cases and 35 fatalities. Since then, WNV lineage 2 outbreaks have been reported in several European countries including Italy, Serbia and Greece. Understanding the interaction of ecological factors that affect WNV transmission is crucial for preventing or decreasing the impact of future epidemics. The synchronous co-occurrence of competent mosquito vectors, virus, bird reservoir hosts, and susceptible humans is necessary for the initiation and propagation of an epidemic. Weather is the key abiotic factor influencing the life-cycles of the mosquito vector, the virus, the reservoir hosts and the interactions between them. The purpose of this paper is to review and compare mosquito population dynamics, and weather conditions, in three ecologically different contexts (urban/semi-urban, rural/agricultural, natural) across four European countries (Italy, France, Serbia, Greece) with a history of WNV outbreaks. Local control strategies will be described as well. Improving our understanding of WNV ecology is a prerequisite step for appraising and optimizing vector control strategies in Europe with the ultimate goal to minimize the probability of WNV infection. [ABSTRACT FROM AUTHOR]
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- 2016
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7. Vector-borne helminths of dogs and humans in Europe.
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Otranto, Domenico, Dantas-Torres, Filipe, Brianti, Emanuele, Traversa, Donato, Petric, Dusan, Genchi, Claudio, and Capelli, Gioia
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HELMINTHS ,ONCHOCERCA ,TICK infestations ,DIROFILARIA immitis ,POPULATION health - Abstract
Presently, 45% of the total human population of Europe, as well as their domestic and companion animals, are exposed to the risk of vector-borne helminths (VBH) causing diseases. A plethora of intrinsic biological and extrinsic factors affect the relationship among helminths, vectors and animal hosts, in a constantly changing environment. Although canine dirofilarioses by Dirofilaria immitis and Dirofilaria repens are key examples of the success of VBH spreading into non-endemic areas, another example is represented by Thelazia callipaeda eyeworm, an emergent pathogen of dogs, cats and humans in several regions of Europe. The recent finding of Onchocerca lupi causing canine and human infestation in Europe and overseas renders the picture of VBH even more complicated. Similarly, tick-transmitted filarioids of the genus Cercopithifilaria infesting the skin of dogs were recently shown to be widespread in Europe. Although for most of the VBH above there is an increasing accumulation of research data on their distribution at national level, the overall impact of the diseases they cause in dogs and humans is not fully recognised in many aspects. This review investigates the reasons underlying the increasing trend in distribution of VBH in Europe and discusses the diagnostic and control strategies currently available. In addition, this article provides the authors' opinion on some topics related to VBH that would deserve further scientific investigation. [ABSTRACT FROM AUTHOR]
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- 2013
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