ArticleEcology and evolution2018
Bioclimatic and altitudinal variables influence the potential distribution of canine parvovirus type 2 worldwide.
Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Evaluating Protoparvovirus carnivoran1 Risk in Wild Carnivorans and Hunting Dogs in the Valencian Community, Eastern Spain.Transboundary and emerging diseases · 2026Article
- First Identification of CPV-2c Infection in a Wild Cub Giant Panda (Transboundary and emerging diseases · 2025Article
- Potential distribution of Biscogniauxia mediterranea and Obolarina persica causal agents of oak charcoal disease in Iran's Zagros forests.Scientific reports · 2024Article
- Epidemiologic Factors Supporting Triage of Infected Dog Patients Admitted to a Veterinary Hospital Biological Isolation and Containment Unit.Veterinary sciences · 2023Article
- Identifying priority reserves favors the sustainable development of wild ungulates and the construction of Sanjiangyuan National Park.Ecology and evolution · 2022Article
- A 5-year retrospective study of canine and feline patients referred to an isolation unit for infectious diseases.Veterinary record open · 2021Article
- Maxent modeling for predicting the spatial distribution of three raptors in the Sanjiangyuan National Park, China.Ecology and evolution · 2019Article
- Bioclimatic and altitudinal variables influence the potential distribution of canine parvovirus type 2 worldwide.Ecology and evolution · 2018Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Canine parvovirus type 2 (CPV-2) is extremely contagious and causes high rate of morbidity to many wild carnivores. It has three variants (CPV-2a, CPV-2b, and CPV-2c) that are distributed worldwide with different frequencies and levels of genetic and antigenic variability. The disease poses a threat to the healthy survival and reproduction of wildlife. The research on the relationship between CPV-2 epidemic and environmental variables is lacking. To fill this research gap, we used maximum entropy (MaxEnt) approach with principal component analysis (PCA) to evaluate the relation between CPV-2 and environmental variables and to create a world risk map for this disease. According to the PCA results, 18 environmental variables were selected from 68 variables for subsequent analyses. MaxEnt showed that annual mean temperature, isothermality, altitude, November precipitation, maximum temperature of warmest month, and precipitation of warmest quarter were the six most important variables associated with CPV-2 distribution, with a total of 77.7% percent contribution. The risk of this disease between 18°N and 47°N was high, especially in the east of China and the United States. These results support further prediction of risk factors for this virus to help secure the health and sustainable survival of wild carnivores.
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