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Ultrafine Particle Mobile Monitoring Study Designs for Epidemiology: Cost and Performance Comparisons — Europe PMC PMID:40042987

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40042987
DOI: 10.1289/ehp15100
License (as archived): CC0-1.0
Archived: 2026-10-06T11:30:31.387Z
SHA-256 of the archived text: 5e38b9122c3da91658c1b682e246c9ae507d555814a51ceb9ec40cf44ae3a5c0
Stable URL of this page: https://metraipolis.com/documento/dc_667e109e899f

How to cite

Ultrafine Particle Mobile Monitoring Study Designs for Epidemiology: Cost and Performance Comparisons — Europe PMC PMID:40042987 — Europe PMC (en), https://europepmc.org/article/MED/40042987 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_667e109e899f (Metraipolis archive dc_667e109e899f, sha256 5e38b9122c3da91658c1b682e246c9ae507d555814a51ceb9ec40cf44ae3a5c0)

BibTeX

@misc{dc667e109e899f,
  title = {Ultrafine Particle Mobile Monitoring Study Designs for Epidemiology: Cost and Performance Comparisons — Europe PMC PMID:40042987},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40042987},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_667e109e899f; sha256 5e38b9122c3da91658c1b682e246c9ae507d555814a51ceb9ec40cf44ae3a5c0},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/40042987. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Background: Given the difficulty of collecting air pollution measurements for individuals, researchers use mobile monitoring to develop accurate models that predict long-term average exposure to air pollution, allowing the investigation of its association with human health. Although recent mobile monitoring studies focused on predictive models' abilities to select optimal designs, cost is also an important feature. Objectives: This study aimed to compare costs to predictive model performance for different mobile monitoring designs. Methods: We used data on ultrafine particle stationary roadside mobile monitoring and associated costs collected by the Adult Changes in Thought Air Pollution (ACT-AP) study. By assuming a single-instrument, local monitoring, and constant costs of equipment and investigator oversight, we focused on the incremental cost of staff work days composed mostly of sampling drives and quality control procedures. The ACT-AP complete design included data collection from 309 sites, ∼29 visits per site, during four seasons, every day of the week. We considered alternative designs by selecting subsets of fewer sites, visits, seasons, days of week, and hours of day. Then, we developed exposure prediction models from each alternative design and calculated cross-validation (CV) statistics using all observations from the complete design. Finally, we compared CV R-squared values and the numbers of staff work days from alternative designs to those from the complete design and demonstrate this exercise in a web application. Results: For designs with fewer visits per site, the costs for number of work days were lower and model performance (CV R2) also worsened, but with mild decline above 12 visits per site. The costs were also less for designs with fewer sites when considering at least 100 sites, although the reduction in performance was minimal. For temporally restricted designs that were constrained to have the same number of work days and thus the same cost, restrictions on the number of seasons, days of week, and/or hours of the day adversely impacted model performance. Discussion: Our study provides practical guidance to future mobile monitoring campaigns that have the ultimate goal of assessing the health effect of long-term air pollution. Temporally balanced designs with 12 visits per site are a cost-effective option that provide relatively good prediction accuracy with reduced costs. https://doi.org/10.1289/EHP15100.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: Environmental health perspectives, 2025 (prima pubblicazione 2025-04-23).
Identificativi: PMID 40042987 · PMCID PMC12036699 · DOI 10.1289/ehp15100.
Descrittori MeSH principali: Air Pollutants; Air Pollution; Environmental Exposure; Environmental Monitoring; Particulate Matter.
Pagina: https://europepmc.org/article/MED/40042987 — https://doi.org/10.1289/ehp15100. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-10-06T09:52:30.127Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.