Geo-environmental model for the prediction of potential transmission risk of Dirofilaria in an area with dry climate and extensive irrigated crops. The case of Spain

Simón, Luis; Afonin, A. N.; López-Díez, L. I.; González‐Miguel, Javier; Morchón, Rodrigo; Carretón, Elena; Montoya-Alonso, José Alberto; Kartashev, Vladimir; Simón, F

doi:10.1016/j.vetpar.2013.12.027

Cited by 36 publications

(43 citation statements)

References 17 publications

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“…The ability of GIS to predict the distribution and epidemiology of dirofilariosis in different geographical areas has been already demonstrated by the empirical epidemiological data obtained at the continental (Genchi et al, 2009;Kartashev et al, 2014), national (Medlock et al, 2007;Simón et al, 2014), and regional (Mortarino et al, 2008;Montoya-Alonso et al, 2015) levels. As demonstrated in our present study, GIS could become an important tool for the management of HWD in endemic and non-endemic countries.…”

Section: Discussionmentioning

confidence: 95%

Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

et al. 2016

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A survey was conducted in the eastern part of Romania to assess the prevalence and geographical distribution of Dirofilaria immitis in dogs. Plasma samples were collected from 458 stray dogs hosted in shelters in 8 counties and tested serologically for the presence of heartworm. In addition, 45 blood samples from dogs of a shelter in Galati city were examined by the modified Knott and multiplex polymerase chain reaction (PCR) techniques. The immmunological assay showed a heartworm infection prevalence of 8.9% in the dogs. Optical density results for positive samples ranged between 0.217 and 2.683. Geographical information systems (GIS) were used to produce overlays of distribution maps of D. immitis prevalence and predictive maps based on temperature suitability. High prevalence of D. immitis was found in the central East up to the northern border of the country, i.e.Galati county (60%), followed by the counties of Vaslui (12.0%) and Iasi (7.7%). Out of 45 samples examined using the Knott test, 23 were positive for circulating microfilariae (51.1%), while 19 dogs were positive for D. immitis and 4 for both D. immitis and D. repens with the multiplex PCR test. The high prevalence for D. immitis shown in dogs in the Southeast (Galati, 42.2%) also by multiplex PCR gave strong support to the results achieved by the serological tests. The present study confirms the ability of GIS to predict the distribution and epidemiology of dirofilariosis in different geographical territories as has been already demonstrated by the empirical epidemiological data obtained at the continental, national and intraregional levels.

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Section: Discussionmentioning

confidence: 95%

Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

et al. 2016

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“…Daily average temperatures collected from 56 meteoestations located in the study area or nearby during the years 2012 and 2013 were used. They were analyzed as described by Simón et al (2014) to generate the layer of the predicted yearly generations of D. immitis.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, the existence of canine dirofilariosis in an area is responsible for the emergence of human infections, characterized by benign pulmonary nodules (Simón et al, 2009). Prevalences are influenced by the abundance of vectors, depending on climatic factors like temperature and humidity, and by the presence of animal reservoirs (Simón et al, 2012). In Spain, the available epidemiological data and geo-environmental prediction models show the presence of the disease in most of the territory, being the highest prevalences found in the Canary Islands, Southwest of the continental country, Mediterranean coast and irrigated areas from inland Spain Simón et al, 2014). In the province of Barcelona, located on the Mediterranean coast (North-eastern Spain), epidemiological surveys carried out since 1988 revealed changes throughout time in the canine prevalence (Rojo-Vázquez et al, 1990;Gutiérrez-Galindo et al, 1995;SolanoGallego et al, 2006) as well as the existence of a hyperendemic focus in Bajo Llobregat, an irrigated area near the coast (Aranda et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

“…The ability of geographical information systems (GIS) to predict the distribution and epidemiological behavior of dirofilariosis in different territories has been demonstrated by the empirical epidemiological data obtained at continental (Genchi et al, 2009;Kartashev et al, 2014), national (Medlock et al, 2007;Simón et al, 2014) and regional (Mortarino et al, 2008) levels. As a consequence, GIS has become an important tool for the management of the disease.…”

Section: Introductionmentioning

confidence: 99%

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Prevalence of Dirofilaria immitis in dogs from Barcelona: Validation of a geospatial prediction model

Montoya-Alonso

Carretón

Simón

et al. 2015

Veterinary Parasitology

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“…In Spain, geo-environmental models have been recently established and validated for canine dirofilariosis (a mosquito-borne disease) [24,25]. Also in Spain, vector occurrences and their future projections have been modelled for three tick species (Dermacentor marginatus, Rhipicephalus turanicus and Hyalomma marginatum) [26]; the bluetongue vector Culicoides imicola [27]; and the vectors of canine leishmaniosis, Phlebotomus perniciosus and Phlebotomus ariasi [28].…”

Section: Introductionmentioning

confidence: 99%

Modelling the current distribution and predicted spread of the flea species Ctenocephalides felis infesting outdoor dogs in Spain

et al. 2017

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Background: The cat flea, Ctenocephalides felis, is the most prevalent flea species detected on dogs and cats in Europe and other world regions. The status of flea infestation today is an evident public health concern because of their cosmopolitan distribution and the flea-borne diseases transmission. This study determines the spatial distribution of the cat flea C. felis infesting dogs in Spain. Using geospatial tools, models were constructed based on entomological data collected from dogs during the period 2013-2015. Bioclimatic zones, covering broad climate and vegetation ranges, were surveyed in relation to their size. Results: The models builded were obtained by negative binomial regression of several environmental variables to show impacts on C. felis infestation prevalence: land cover, bioclimatic zone, mean summer and autumn temperature, mean summer rainfall, distance to urban settlement and normalized difference vegetation index. In the face of climate change, we also simulated the future distributions of C. felis for the global climate model (GCM) "GFDL-CM3" and for the representative concentration pathway RCP45, which predicts their spread in the country. Conclusions: Predictive models for current climate conditions indicated the widespread distribution of C. felis throughout Spain, mainly across the central northernmost zone of the mainland. Under predicted conditions of climate change, the risk of spread was slightly greater, especially in the north and central peninsula, than for the current situation. The data provided will be useful for local veterinarians to design effective strategies against flea infestation and the pathogens transmitted by these arthropods.

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Geo-environmental model for the prediction of potential transmission risk of Dirofilaria in an area with dry climate and extensive irrigated crops. The case of Spain

Cited by 36 publications

References 17 publications

Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

Prevalence of Dirofilaria immitis in dogs from Barcelona: Validation of a geospatial prediction model

Modelling the current distribution and predicted spread of the flea species Ctenocephalides felis infesting outdoor dogs in Spain

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