# Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-for-global-african-swine-fever-outbreaks-based-on-a-combination-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ruirui Liang,Yi Lu,Xiaosheng Qu,Qiang Su,Chunxia Li,Sijing Xia,Yongxin Liu,Qiang Zhang,Xin Cao,Qin Chen,Bing Niu |
| Citations | 133 |
| DOI | 10.1111/tbed.13424 |
| Fields | Agricultural and Biological Sciences,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2986202533 |
| PMID | 31738013 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Qin Chen](https://scholariq.org/researchers/qin-chen-2/)

## Paper primary topic

- [Animal Disease Management and Epidemiology](https://scholariq.org/topics/animal-disease-management-and-epidemiology/)

## Paper topics

- [Animal Disease Management and Epidemiology](https://scholariq.org/topics/animal-disease-management-and-epidemiology/)
- [Viral Infections and Vectors](https://scholariq.org/topics/viral-infections-and-vectors/)
- [Animal Virus Infections Studies](https://scholariq.org/topics/animal-virus-infections-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.