Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115525
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | en_US |
| dc.creator | Han, M | en_US |
| dc.creator | Bai, Z | en_US |
| dc.creator | Lou, Y | en_US |
| dc.date.accessioned | 2025-10-03T00:33:25Z | - |
| dc.date.available | 2025-10-03T00:33:25Z | - |
| dc.identifier.issn | 0022-2526 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/115525 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Wiley-Blackwell | en_US |
| dc.subject | Asymptotic behavior | en_US |
| dc.subject | Global threshold dynamics | en_US |
| dc.subject | Mosquito-borne disease | en_US |
| dc.subject | Nonlocal dispersal | en_US |
| dc.subject | Ross–macdonald Model | en_US |
| dc.title | Global dynamics of a partially degenerate nonlocal model for mosquito-borne disease transmission | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 155 | en_US |
| dc.identifier.issue | 2 | en_US |
| dc.identifier.doi | 10.1111/sapm.70101 | en_US |
| dcterms.abstract | Host mobility and environmental heterogeneity in vector populations are critical determinants of spatial patterns in mosquito-borne disease transmission. To investigate the impact of spatial heterogeneity and host dispersal on transmission dynamics, this manuscript proposes a partially degenerate nonlocal dispersal Ross–Macdonald model. The basic reproduction number (Formula presented.) is identified as a critical threshold that determines the global dynamics of the model. The analytical challenge of noncompact solution map of this partially degenerate nonlocal model is addressed using comparison arguments for the phase space of Lebesgue measurable and bounded functions. Furthermore, we characterize the asymptotic behavior of (Formula presented.) under small and large diffusion regimes, linking dispersal rates to transmission potential. Numerical simulations reveal how host mobility and spatially varying environment modulate disease persistence and transmission risks. Simulations also indicate that the model assuming local dispersal may underestimate transmission risks, and the epidemic size does not monotonically increase with (Formula presented.). | en_US |
| dcterms.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Studies in applied mathematics, Aug. 2025, v. 155, no. 2, e70101 | en_US |
| dcterms.isPartOf | Studies in applied mathematics | en_US |
| dcterms.issued | 2025-08 | - |
| dc.identifier.scopus | 2-s2.0-105013965139 | - |
| dc.identifier.eissn | 1467-9590 | en_US |
| dc.identifier.artn | e70101 | en_US |
| dc.description.validate | 202510 bchy | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.SubFormID | G000129/2025-09 | - |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.fundingText | We sincerely thank Prof. X.\u2010Q. Zhao and Dr. Lei Zhang for helpful discussions. Bai's research was supported by the NSF of China (No. 12371501) and Xidian University Specially Funded Project for Interdisciplinary Exploration (No. TZJH2024001). Lou is partially supported by The Hong Kong Research Grants Council (15304821). | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.date.embargo | 2026-08-31 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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