Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
PLOS Neglected Tropical Diseases·
- DOI
- 10.1371/journal.pntd.0009153
- PMID
- 33770107
- PMCID
- PMC7996998
- OpenAlex
- W3137170677
- Study type
- Journal article
- Publisher
- Public Library of Science (PLoS)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The article is relevant to dengue risk assessment, vector ecology, and planning of control efforts in mainland China. Its discoverability is strengthened by linkage to dengue, China, climate and environment, outbreak investigation, and transmission dynamics topics.
Structured evidence summary
Research question
The paper asks how suitable mainland China is for Aedes albopictus presence and dengue transmission risk under a temperature-sensitive delay differential equation model.
Study design
This is a mathematical modeling study using a delay differential equation approach with temperature-dependent development periods. The model was checked against field data for Aedes albopictus and then applied to outbreak and national-scale transmission-risk scenarios.
Population and setting
The setting is mainland China, with specific references to Guangzhou, southern China, and Beijing. The vector data concern Aedes albopictus, and one analysis focuses on the 2014 dengue outbreak in Guangzhou.
Main findings
The model matched mosquito occurrence locations with high agreement, reported as Cohen’s kappa of 0.78, and was described as reproducing mosquito population dynamics well. The authors report that, in the model, the Guangzhou outbreak could have continued for about four additional weeks without mosquito control, southern China could support more than seven months of dengue transmission per year, and even Beijing could have transmission during hot summer months.
Public-health relevance
The article is relevant to dengue risk assessment, vector ecology, and planning of control efforts in mainland China. Its discoverability is strengthened by linkage to dengue, China, climate and environment, outbreak investigation, and transmission dynamics topics.
Important limitations
The summary is limited to the supplied single-article abstract and metadata, so decision-grade interpretation requires the original paper. No explicit study limitations were stated in the supplied abstract.
GIDS interpretation
This paper is discoverable as a modeling study about dengue suitability in China rather than as live surveillance evidence. It provides context for literature review on climate-sensitive transmission risk and vector distribution.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.