{
  "abstract": "Background\n\nIn sub-Saharan Africa, climatic variability intersects with structural inequities-biomass reliance, informal livelihoods, rapid urbanisation, and sparse regulatory monitoring-to generate highly heterogeneous air pollution exposures during pregnancy. Maternal exposure assessment in the region remains dominated by coarse ambient estimates, limiting understanding of how climate and microenvironment jointly shape actual personal exposure through their influence on pollutant generation, dispersion, and proximity to emission sources.Objective\n\nTo develop and implement an adaptable, climate-structured personal and ambient PM₂.₅ monitoring framework embedded within the PRECISE pregnancy cohort across The Gambia, Kenya, and Mozambique.Methods\n\nA purposively sampled subset of 343 pregnant or postpartum women (The Gambia n = 160; Kenya n = 105; Mozambique n = 78) completed two 5-day deployments (with usable data) of wearable multi-parameter monitors in opposing dry and wet seasons. Devices recorded minute-resolved PM₂.₅, temperature, humidity, and mobility (GPS/accelerometry). Fixed-site monitors were installed at six health facilities to characterise background exposure and seasonal dynamics. Calibration combined repeated pre-deployment co-location with reference instrumentation and in-country inter-sensor harmonisation using Deming regression. Quality assurance incorporated a ≥75% ambient air pollution data completeness threshold, encrypted transfer, geolocation validation, and cross-site reproducibility checks. Meteorological data (NASA POWER/MERRA-2) were integrated to contextualise climatic drivers.Results\n\nThe protocol generated 3,190 person-days of personal exposure data together with 328 unique days of continuous ambient data. Ambient datasets achieved high completeness in The Gambia and Kenya (>85% data capture); Mozambique ambient capture was lower due to site-level connectivity constraints. Ambient monitoring periods were included only when ≥75% of expected observations were available; periods not meeting this threshold were excluded from primary analyses. Inter-sensor agreement was robust (R² > 0.72 pre-deployment; >0.75 in-country). Ambient monitoring characterised seasonal background variability and enabled evaluation of ambient-personal concordance under contrasting climatic regimes. Integration of personal and ambient datasets supported microenvironmental partitioning and climate-contextual interpretation of exposure patterns.Conclusion\n\nThis integrated monitoring framework extends the operational and methodological capacity for high-resolution exposure assessment through the generation of high-resolution, climate-structured exposure data within pregnancy cohorts in under-monitored African settings, advancing equitable exposure science and strengthening climate-informed maternal and newborn health research.Significance statement\n\nThis study establishes an adaptable, climate-structured exposure measurement architecture that reduces exposure misclassification and enables more precise exposure-response inference in maternal health research conducted in under-monitored environments.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Women and Children's Health, King's College London, London, United Kingdom.",
    "Place Alert Labs, Midlands State University, Gweru, Zimbabwe.",
    "Centre for Sexual Health and HIV AIDS Research Zimbabwe (CeSHHAR), Harare, Zimbabwe.",
    "ISGlobal, Barcelona Institute for Global Health, Universitat de Barcelona, Barcelona, Spain.",
    "Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.",
    "MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia.",
    "Centro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.",
    "Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique.",
    "Centre of Excellence for Women and Child Health, Aga Khan University, Nairobi, East Africa, Kenya.",
    "London School of Hygiene and Tropical Medicine, London, United Kingdom.",
    "ICREA, Barcelona, Spain.",
    "British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada.",
    "School of Public Health, Imperial College London, London, United Kingdom."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 21,
  "authors": [
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Liberty Makacha"
    },
    {
      "affs": [
        3
      ],
      "name": "Jovito Nune"
    },
    {
      "affs": [
        1,
        2,
        4
      ],
      "name": "P Tatenda Makanga"
    },
    {
      "affs": [
        3
      ],
      "name": "Cathryn Tonne"
    },
    {
      "affs": [
        0
      ],
      "name": "Marie-Laure Volvert"
    },
    {
      "affs": [
        5
      ],
      "name": "Hawanatu Jah"
    },
    {
      "affs": [
        5
      ],
      "name": "Yahaya Idris"
    },
    {
      "affs": [
        6,
        7
      ],
      "name": "Esperança Sevene"
    },
    {
      "affs": [
        8
      ],
      "name": "Moses Mukhanya"
    },
    {
      "affs": [
        8
      ],
      "name": "Angela Koech"
    },
    {
      "affs": [
        8
      ],
      "name": "Onesmus Wanje"
    },
    {
      "affs": [
        6
      ],
      "name": "Anifa Valá"
    },
    {
      "affs": [
        9
      ],
      "name": "Hannah Blencowe"
    },
    {
      "affs": [
        5
      ],
      "name": "Umberto d'Alessandro"
    },
    {
      "affs": [
        8
      ],
      "name": "Marleen Temmerman"
    },
    {
      "affs": [
        3,
        5,
        10
      ],
      "name": "Anna Roca"
    },
    {
      "affs": [
        11
      ],
      "name": "Jeffrey N Bone"
    },
    {
      "affs": [
        0,
        11
      ],
      "name": "Laura A Magee"
    },
    {
      "affs": [
        0,
        11
      ],
      "name": "Peter von Dadelszen"
    },
    {
      "affs": [
        12
      ],
      "name": "Ben Barratt"
    },
    {
      "name": "PRECISE and PRECISE-DYAD Networks"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2atxdq1zjz5hv.bib",
  "cited_by": 0,
  "doi": "10.3389/fgwh.2026.1849628",
  "fulltext_url": "https://europepmc.org/articles/PMC13679543",
  "id": "2atxdq1zjz5hv",
  "issns": [
    "2673-5059"
  ],
  "landing_url": "https://europepmc.org/article/MED/42898888",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2307|Air Quality and Health Impacts"
    ]
  ],
  "openalex": "W7220386786",
  "pdf_url": "https://europepmc.org/articles/PMC13679543?pdf=render",
  "pmcid": "PMC13679543",
  "pmid": "42898888",
  "published": "2026-10-05",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2atxdq1zjz5hv.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:37Z",
      "native_id": "MED:42898888",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42898888"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2307|Air Quality and Health Impacts",
      "subfield": "pharmacology-toxicology"
    }
  ],
  "title": "An integrated climate-structured personal and ambient air pollution monitoring framework embedded within a pregnancy and postpartum cohort in Sub-Saharan Africa.",
  "title_text": "An integrated climate-structured personal and ambient air pollution monitoring framework embedded within a pregnancy and postpartum cohort in Sub-Saharan Africa.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:37Z",
  "url": "https://research.draconitic.com/paper/2atxdq1zjz5hv",
  "venue": "Frontiers in global women's health",
  "versions": []
}