{
  "abstract": "India has made some progress in mitigating severe air pollution; however, many regions continue to experience fine particulate matter (PM2.5) levels exceeding World Health Organization and national standards. Despite this, local-scale exposure information beyond urban centers, intra-regional inequities, and short-term mortality impacts remain poorly understood. This study integrates dense, low-cost sensor-based PM2.5 measurements with machine learning models, recent family health survey data, and India-specific relative risk information to assess sub-regional exposure inequity among socioeconomic groups and short-term mortality impacts in Bihar, one of the most polluted and understudied states of India. Here we show a clear north-south divide in PM2.5 exposure, with northern districts having mean exposure levels 1.2 times higher. District-level mortality (per 100,000) varied up to 1.7-fold, with daily mortality showing 3.2-fold variability. We observe limited exposure inequity at the state level but substantial inter- and intra-regional inequities within Bihar.",
  "abstract_shown": true,
  "affiliations": [
    "National Aerosol Facility, Indian Institute of Technology Kanpur, Kanpur, India",
    "Department of Geoinformatics, Netaji Subhas University of Technology, Delhi, India",
    "Center for Climate Change Research, Indian Institute of Tropical Meteorology, Pune, India",
    "CICERO Center for International Climate Research, Oslo, Norway",
    "Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India",
    "Department of Intelligent Systems, Indian Institute of Technology Kanpur, Kanpur, India",
    "Kotak School of Sustainability, Indian Institute of Technology Kanpur, Kanpur, India",
    "Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India",
    "Department of Sustainable Energy Engineering, Indian Institute of Technology Kanpur, Kanpur, India"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Navdeep Agrawal",
      "orcid": "0000-0002-4352-4926"
    },
    {
      "affs": [
        0,
        2
      ],
      "name": "Nimit Godhani"
    },
    {
      "affs": [
        3
      ],
      "name": "Sourangsu Chowdhury",
      "orcid": "0000-0002-4600-2226"
    },
    {
      "affs": [
        0
      ],
      "name": "P. C. Anandh",
      "orcid": "0000-0001-6889-5603"
    },
    {
      "affs": [
        0
      ],
      "name": "Anil Kumar",
      "orcid": "0000-0003-4078-7322"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Piyush Rai"
    },
    {
      "affs": [
        0,
        6,
        7,
        8
      ],
      "name": "Sachchida Nand Tripathi",
      "orcid": "0000-0002-6402-4680"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/50mem9bdc0s2f.bib",
  "cited_by": 0,
  "doi": "10.1038/s41467-026-77148-1",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13736951/",
  "id": "50mem9bdc0s2f",
  "issns": [
    "2041-1723"
  ],
  "landing_url": "https://doi.org/10.1038/s41467-026-77148-1",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Article"
    ],
    [
      "openalex",
      "2307|Air Quality and Health Impacts"
    ]
  ],
  "openalex": "W7204988292",
  "pdf_url": "https://www.nature.com/articles/s41467-026-77148-1_reference.pdf",
  "pmcid": "PMC13736951",
  "pmid": "42982790",
  "published": "2026-09-02",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/50mem9bdc0s2f.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:22:17Z",
      "native_id": "PMC13736951",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s41467-026-77148-1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2307|Air Quality and Health Impacts",
      "subfield": "pharmacology-toxicology"
    }
  ],
  "title": "Unveiling hidden air pollution exposure and impacts with low-cost sensor network-based frameworks",
  "title_text": "Unveiling hidden air pollution exposure and impacts with low-cost sensor network-based frameworks",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:22:17Z",
  "url": "https://research.draconitic.com/paper/50mem9bdc0s2f",
  "venue": "Nature Communications",
  "versions": []
}