Microgeographical Variation in Dirofilaria immitis Prevalence in Dogs in Suburban and Urban Areas of Rio De Janeiro, Brazil

Dirofilariosis, a mosquito-borne disease caused by <i>Dirofilaria immitis</i> and <i>Dirofilaria repens</i>, affects canids, felids and occasionally humans. Recent evidence suggests that <i>D. immitis</i> prevalence is rising in the canine populations in several areas of Brazil, even those historically considered to be non-endemic, highlighting the need for ongoing surveillance. However, prevalence studies are frequently based on inference from single diagnostic methods, and it is acknowledged that this may lead to biases and an underestimation of the disease situation. Thus, this cross-sectional study aimed to assess the prevalence of <i>Dirofilaria</i> spp. infection in dogs and cats across suburban and urban areas in Rio de Janeiro, Brazil. The investigation was conducted using a multi-diagnostic approach with binomial generalised linear models (GLMs) applied to investigate the association between the occurrence of infection and potential disease determinants. Blood samples from 497 dogs and 107 cats, collected at a veterinary mobile neutering unit, underwent parasitological, serological and molecular testing to detect <i>Dirofilaria</i> spp. infections. Among the dog samples, an overall 7.44% tested positive for <i>D. immitis</i> infection, while <i>D. repens</i> was not detected. In contrast, no cat samples tested positive for either parasite species. Prevalence was notably higher in suburban areas (14.47%) than in the urban area of Rio de Janeiro (6.17%) (<i>p</i> = 0.003). Dogs aged over two years had a higher risk of being infected (<i>p</i> < 0.001), while features such as breed, sex, size, coat type, use of macrocyclic lactones or access to outdoor spaces were not found to be predictive factors. This study reinforces the evidence that the prevalence of <i>D. immitis</i> is increasing in areas previously considered to have low prevalence or to be non-endemic. It also suggests that environmental and socioeconomic factors may play a key role in determining the current epidemiological status of this parasite. These findings highlight the need for increased monitoring in high-risk areas, targeted prevention and public awareness to address this emerging One Health concern.

Authors

Institutions

Publication Details

Journal
Veterinary Sciences
Published
2024-12-27
DOI
https://doi.org/10.3390/vetsci12010003
Citations
5
Primary Topic
Parasitic Diseases Research and Treatment
Type
article
Field-Weighted Citation Impact
1.95

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microgeographical Variation in Dirofilaria immitis Prevalence in Dogs in Suburban and Urban Areas of Rio De Janeiro, Brazil

Rossella Panarese, P. Johnson, William Weir, Elizabeth Moreira dos Santos Schmidt et al.
5 citations
Veterinary Sciences
Parasitic Diseases Research and Treatment
1.95
article

Microgeographical Variation in Dirofilaria immitis Prevalence in Dogs in Suburban and Urban Areas of Rio De Janeiro, Brazil

Rossella Panarese, P. Johnson, William Weir, Elizabeth Moreira dos Santos Schmidt, Ângelo Mendes, Marianna Laura Elis Chocobar
article en
5 citations

Abstract

Dirofilariosis, a mosquito-borne disease caused by <i>Dirofilaria immitis</i> and <i>Dirofilaria repens</i>, affects canids, felids and occasionally humans. Recent evidence suggests that <i>D. immitis</i> prevalence is rising in the canine populations in several areas of Brazil, even those historically considered to be non-endemic, highlighting the need for ongoing surveillance. However, prevalence studies are frequently based on inference from single diagnostic methods, and it is acknowledged that this may lead to biases and an underestimation of the disease situation. Thus, this cross-sectional study aimed to assess the prevalence of <i>Dirofilaria</i> spp. infection in dogs and cats across suburban and urban areas in Rio de Janeiro, Brazil. The investigation was conducted using a multi-diagnostic approach with binomial generalised linear models (GLMs) applied to investigate the association between the occurrence of infection and potential disease determinants. Blood samples from 497 dogs and 107 cats, collected at a veterinary mobile neutering unit, underwent parasitological, serological and molecular testing to detect <i>Dirofilaria</i> spp. infections. Among the dog samples, an overall 7.44% tested positive for <i>D. immitis</i> infection, while <i>D. repens</i> was not detected. In contrast, no cat samples tested positive for either parasite species. Prevalence was notably higher in suburban areas (14.47%) than in the urban area of Rio de Janeiro (6.17%) (<i>p</i> = 0.003). Dogs aged over two years had a higher risk of being infected (<i>p</i> < 0.001), while features such as breed, sex, size, coat type, use of macrocyclic lactones or access to outdoor spaces were not found to be predictive factors. This study reinforces the evidence that the prevalence of <i>D. immitis</i> is increasing in areas previously considered to have low prevalence or to be non-endemic. It also suggests that environmental and socioeconomic factors may play a key role in determining the current epidemiological status of this parasite. These findings highlight the need for increased monitoring in high-risk areas, targeted prevention and public awareness to address this emerging One Health concern.

Veterinary SciencesVol. 12(1)
University of Glasgow (GB), Universidade Estadual Paulista (Unesp) (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Sustainable cities and communities
Openalex Percentile: Top 13%
Parasitic Diseases Research and Treatment
1.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.