{
  "abstract": "Malaria remains a major global public health threat, and the recent invasion and rapid spread of Anopheles stephensi across Africa pose new challenges for disease control. To assess future risks, we estimated the distribution of An. stephensi habitat suitability under four Shared Socioeconomic Pathways (SSPs, SSP126, SSP245, SSP370 and SSP585) across 2021-2100 using a boosted regression tree (BRT) model, and quantified population exposure through a contribution decomposition framework separating environmental, population and joint effects. The results showed that the proportion of urban land was the most important predictor (17.17%), followed by mean temperature of the wettest quarter (BIO8, 9.24%) and the annual mean temperature (BIO1, 8.24%). Suitable habitats expanded consistently under all scenarios. Notably, SSP370 generated the highest population exposure, and there would be approximately 205.51 million people living in high suitability habitats for An. stephensi by 2081-2100. From the contribution decomposition framework, population change dominated the total exposure increase, outweighing environmental effects and joint effects. However, the individual contributions of population and environmental effects gradually declined over time, while their joint effect increased. These findings demonstrated that population growth, rather than climate change alone, is the primary driver of future exposure to An. stephensi. The increasing joint effect of population and environmental factors further underscores the need for integrated, region‑specific interventions that address their combined influence on transmission risk.",
  "abstract_shown": true,
  "affiliations": [
    "Chinese Center for Disease Control and Prevention",
    "Nanjing University",
    "Xi'an University of Finance and Economics",
    "Hunan Agricultural University",
    "National Institute for Communicable Disease Control and Prevention"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Yelin Sun",
      "orcid": "0000-0002-7061-4417"
    },
    {
      "affs": [
        1
      ],
      "name": "Weihang Liu",
      "orcid": "0000-0002-0732-4898"
    },
    {
      "affs": [
        2
      ],
      "name": "Yuanyuan Jing",
      "orcid": "0009-0004-3224-0217"
    },
    {
      "affs": [
        3
      ],
      "name": "Tian Liu"
    },
    {
      "affs": [
        4
      ],
      "name": "Meng Shang"
    },
    {
      "affs": [
        4
      ],
      "name": "Yujuan Yue"
    },
    {
      "affs": [
        4
      ],
      "name": "Yuhong Guo"
    },
    {
      "affs": [
        4
      ],
      "name": "Qiyong Liu",
      "orcid": "0000-0003-4066-7988"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0mrc29ppen32y.bib",
  "cited_by": 0,
  "doi": "10.1088/1748-9326/aeb558",
  "fulltext_url": null,
  "id": "0mrc29ppen32y",
  "issns": [
    "1748-9326"
  ],
  "landing_url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb558",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "feed-journal",
      "earth/environmental-science"
    ],
    [
      "openalex",
      "2302|Species Distribution and Climate Change"
    ]
  ],
  "openalex": "W7222544787",
  "pdf_url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb558/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-16",
  "publisher": "IOP Publishing",
  "ris": "https://research.draconitic.com/paper/0mrc29ppen32y.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:55Z",
      "native_id": "10.1088/1748-9326/aeb558",
      "source": "crossref",
      "url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb558"
    },
    {
      "first_seen": "2026-11-03T12:20:20Z",
      "native_id": "10.1088/1748-9326/aeb558",
      "source": "feed-iop",
      "url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb558"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:2302|Species Distribution and Climate Change",
      "subfield": "ecology"
    }
  ],
  "title": "Projecting potential population exposure to the invasive malaria vector Anopheles stephensi",
  "title_text": "Projecting potential population exposure to the invasive malaria vector Anopheles stephensi",
  "type": "peer-reviewed",
  "updated_at": "2026-11-05T00:20:38Z",
  "url": "https://research.draconitic.com/paper/0mrc29ppen32y",
  "venue": "Environmental Research Letters",
  "versions": []
}