Optimization and performance analytics of global aircraft-based wastewater surveillance networks.

Autor:	St-Onge G; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA.; The Roux Institute, Northeastern University, Portland, ME 04101, USA., Davis JT; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA., Hébert-Dufresne L; Vermont Complex Systems Center, University of Vermont, Burlington, VT 05401, USA.; Département de physique, de génie physique et d'optique, Université Laval, Québec City, QC G1V 0A6, Canada., Allard A; Vermont Complex Systems Center, University of Vermont, Burlington, VT 05401, USA.; Département de physique, de génie physique et d'optique, Université Laval, Québec City, QC G1V 0A6, Canada., Urbinati A; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA., Scarpino SV; Institute for Experiential AI, Northeastern University, Boston, MA 02115, USA.; Network Science Institute, Northeastern University, Boston, MA 02115, USA.; Santa Fe Institute, Santa Fe, NM 87501, USA., Chinazzi M; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA.; The Roux Institute, Northeastern University, Portland, ME 04101, USA., Vespignani A; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA.
Jazyk:	angličtina
Zdroj:	MedRxiv : the preprint server for health sciences [medRxiv] 2024 Aug 04. Date of Electronic Publication: 2024 Aug 04.
DOI:	10.1101/2024.08.02.24311418
Abstrakt:	Aircraft wastewater surveillance has been proposed as a novel approach to monitor the global spread of pathogens. Here we develop a computational framework to provide actionable information for designing and estimating the effectiveness of global aircraft-based wastewater surveillance networks (WWSNs). We study respiratory diseases of varying transmission potentials and find that networks of 10 to 20 strategically placed wastewater sentinel sites can provide timely situational awareness and function effectively as an early warning system. The model identifies potential blind spots and suggests optimization strategies to increase WWSNs effectiveness while minimizing resource use. Our findings highlight that increasing the number of sentinel sites beyond a critical threshold does not proportionately improve WWSNs capabilities, stressing the importance of resource optimization. We show through retrospective analyses that WWSNs can significantly shorten the detection time for emerging pathogens. The presented approach offers a realistic analytic framework for the analysis of WWSNs at airports. Competing Interests: Competing interests SVS is a paid consultant at Verily. The authors declare no other relationships or activities that could appear to have influenced the submitted work.
Databáze:	MEDLINE
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