BalajeeSA, SalyerSJ, Greene-CramerB, SadekM, MountsAW. The practice of event-based surveillance: concept and methods. Glob Secur Health Sci Policy. 2021; 6(1):1-9.
7.
AdaljaAA, WatsonM, TonerES, CiceroA, InglesbyTV. Characteristics of microbes most likely to cause pandemics and global catastrophes. In: InglesbyTV, AdaljaAA, eds. Global Catastrophic Biological Risks. Cham, Switzerland: Springer International Publishing; 2019:1-20.
8.
TaubenbergerJK, MorensDM. 1918 influenza: the mother of all pandemics. Emerg Infect Dis. 2006; 12(1):15-22.
9.
DiamondMB, KeshaviahA, BentoAI, et al.Wastewater surveillance of pathogens can inform public health responses. Nat Med. 2022; 28(10):1992-1995.
10.
HellmérM, PaxéusN, MagniusL, et al.Detection of pathogenic viruses in sewage provided early warnings of hepatitis A virus and norovirus outbreaks. Appl Environ Microbiol. 2014; 80(21):6771-6781.
11.
O'BrienE, XagorarakiI. A water-focused one-health approach for early detection and prevention of viral outbreaks. One Health. 2019; 7:100094.
12.
SinclairRG, ChoiCY, RileyMR, GerbaCP. Pathogen surveillance through monitoring of sewer systems. In: LaskinAI, SariaslaniS, GaddGM, eds. Advances in Applied Microbiology. Volume 65. Oxford, UK: Elsevier; 2008:249-269.
13.
WolfeMK, DuongD, BakkerKM, et al.Wastewater-based detection of two influenza outbreaks. Environ Sci Technol Lett. 2022; 9(8):687-692.
14.
HughesB, DuongD, WhiteBJ, et al.Respiratory syncytial virus (RSV) RNA in wastewater settled solids reflects RSV clinical positivity rates. Environ Sci Technol Lett. 2022; 9(2):173-178.
15.
US Centers for Disease Control and Prevention. Wastewater surveillance testing methods. Last reviewed March 10, 2023. Accessed July17, 2023. https://www.cdc.gov/nwss/testing.html
16.
LewandowskaDW, ZagordiO, GeissbergerFD, et al.Optimization and validation of sample preparation for metagenomic sequencing of viruses in clinical samples. Microbiome. 2017;5(1):94. Published correction appears in Microbiome. 2017; 5(1):137.
NewtonRJ, McLellanSL, DilaDK, et al.Sewage reflects the microbiomes of human populations. mBio. 2015; 6(2):e02574-14.
19.
NaccacheSN, FedermanS, VeeraraghavanN, et al.A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples. Genome Res. 2014; 24(7):1180-1192.
20.
NaughtonCC, RomanFAJr, AlvaradoAGF, et al.Show us the data: global COVID-19 wastewater monitoring efforts, equity, and gaps. FEMS Microbes. 2023; 4:xtad003.
21.
National Academies of Sciences, Engineering, and Medicine. Wastewater-Based Disease Surveillance for Public Health Action. Washington, DC: The National Academies Press; 2023. Accessed July17, 2023. https://doi.org/10.17226/26767
SchmidtJP, ParkAW, KramerAM, HanBA, AlexanderLW, DrakeJM. Spatiotemporal fluctuations and triggers of Ebola virus spillover. Emerg Infect Dis. 2017; 23(3):415-422.
24.
LeiblerJH, AbdelgadirA, SeidelJ, et al.Influenza D virus exposure among US cattle workers: a call for surveillance. Zoonoses Public Health. 2023; 70(2):166-170.
25.
ZhouP, ZhuW, GuH, et al.Avian influenza H9N2 seroprevalence among swine farm residents in China. J Med Virol. 2014; 86(4):597-600.
26.
WongKK, GreenbaumA, MollME, et al.Outbreak of influenza A (H3N2) variant virus infection among attendees of an agricultural fair, Pennsylvania, USA, 2011. Emerg Infect Dis. 2012; 18(12):1937-1944.
27.
LiJ, HosegoodI, PowellD, et al.A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics. Lancet Glob Health. 2023; 11(5):e791-e795.
28.
MorfinoRC, BartSM, FranklinA, et al.Notes from the field: aircraft wastewater surveillance for early detection of SARS-CoV-2 variants — John F. Kennedy International Airport, New York City, August–September 2022. MMWR Morb Mortal Wkly Rep. 2023; 72(8):210-211.
29.
BartoszewiczJM, GenskeU, RenardBY. Deep learning-based real-time detection of novel pathogens during sequencing. Brief Bioinform. 2021; 22(6):bbab269.
30.
DenekeC, RentzschR, RenardBY. PaPrBaG: a machine learning approach for the detection of novel pathogens from NGS data. Sci Rep. 2017; 7(1):39194.
31.
GardyJL, LomanNJ. Towards a genomics-informed, real-time, global pathogen surveillance system. Nat Rev Genet. 2018; 19(1):9-20.