
pmid: 23906145
Huanglongbing (citrus greening) is a bacterial disease that is significantly impacting the citrus industry in Florida and poses a risk to the remaining citrus-producing regions of the United States. A mathematical model of a grove infected by citrus greening is developed. An equilibrium stability analysis is presented. The basic reproductive number and its relation to the persistence of the disease is discussed. A numerical study is performed to illustrate the theoretical findings.
Citrus, Population dynamics, Population Dynamics, Citrus greening, Huanglongbing, huanglongbing, Models, Biological, Hemiptera, Mathematical model, Rhizobiaceae, Vector-borne disease, population dynamics, QA1-939, Animals, vector-borne disease., Plant Diseases, Systems Biology, Mathematical Concepts, Insect Vectors, Florida, citrus greening, mathematical model, TP248.13-248.65, Mathematics, Biotechnology
Citrus, Population dynamics, Population Dynamics, Citrus greening, Huanglongbing, huanglongbing, Models, Biological, Hemiptera, Mathematical model, Rhizobiaceae, Vector-borne disease, population dynamics, QA1-939, Animals, vector-borne disease., Plant Diseases, Systems Biology, Mathematical Concepts, Insect Vectors, Florida, citrus greening, mathematical model, TP248.13-248.65, Mathematics, Biotechnology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 28 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
