Metraipolis › archive › dc_a4e47b5d054e

A geospatial analysis comparing wastewater-monitored sewershed and statewide populations for 32 states participating in CDC's National Wastewater Surveillance… — Europe PMC PMID:42018508

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42018508
DOI: 10.1371/journal.pgph.0006243
License (as archived): CC0-1.0
Archived: 2026-10-06T09:27:38.546Z
SHA-256 of the archived text: d6195289a6417e251abac85fde736f2ebcc2c669173778a4d9bccf116c1bd0cc
Stable URL of this page: https://metraipolis.com/documento/dc_a4e47b5d054e

How to cite

A geospatial analysis comparing wastewater-monitored sewershed and statewide populations for 32 states participating in CDC's National Wastewater Surveillance… — Europe PMC PMID:42018508 — Europe PMC (en), https://europepmc.org/article/MED/42018508 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_a4e47b5d054e (Metraipolis archive dc_a4e47b5d054e, sha256 d6195289a6417e251abac85fde736f2ebcc2c669173778a4d9bccf116c1bd0cc)

BibTeX

@misc{dca4e47b5d054e,
  title = {A geospatial analysis comparing wastewater-monitored sewershed and statewide populations for 32 states participating in CDC's National Wastewater Surveillance… — Europe PMC PMID:42018508},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42018508},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_a4e47b5d054e; sha256 d6195289a6417e251abac85fde736f2ebcc2c669173778a4d9bccf116c1bd0cc},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/42018508. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Wastewater monitoring analyzes samples of untreated wastewater for pathogens to track community-level disease trends. A sewershed polygon helps define the sample population by depicting the community area that contributes sewage to the wastewater sample. This study utilized sewershed geospatial data submitted to the Centers for Disease Control and Prevention's National Wastewater Surveillance System (CDC NWSS) to determine the wastewater-monitored population characteristics and assess how well the wastewater-monitored population represents the broader population. In a geographic information system, we intersected sewershed, state, and county polygons with US Census data and social vulnerability data to calculate the proportion of the population with certain demographic and social vulnerability characteristics in each geographic unit. In 32 states, we compared the aggregated sewershed population within the state to the statewide population for wastewater monitoring sites sampling during the Fall of 2024. In four states, Colorado, New York, North Carolina, and Wisconsin, we further assessed wastewater representativeness; we compared the distributions of sewershed populations with county populations and examined how representativeness has changed across eight time points during 2021-2024. In Fall of 2024, CDC NWSS included sites in all 50 states covering 41% of the US population. In 5 of 32 states analyzed the wastewater-monitored population represented the statewide population across all variables except median household income. In 27 states, we observed that wastewater-monitored populations may over- or underrepresent certain populations based on factors like race and ethnicity, education, or social vulnerability. We found that over time, differences between sewershed and statewide population characteristics were only slightly affected by changes in the number of sampling sites and population. State and local health departments, as well as CDC NWSS, can utilize information about the wastewater sample population and how it compares to the state population to strengthen the use of wastewater monitoring data for public health action.

Tema degli esploratori: scienze della vita e salute (ricerca Europe PMC «public health», solo open access).
Pubblicazione: PLOS global public health, 2026 (prima pubblicazione 2026-04-22).
Identificativi: PMID 42018508 · PMCID PMC13102245 · DOI 10.1371/journal.pgph.0006243.
Pagina: https://europepmc.org/article/MED/42018508 — https://doi.org/10.1371/journal.pgph.0006243. 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 2026-10-06T08:23:52.134Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.