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References
Pages 123-138

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From page 123...
... 2020. Using sewage for surveillance of ­antimicrobial resistance.
From page 124...
... 2020. The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures.
From page 125...
... 2021. Wastewater-based epidemiology: A frame work to identify and prioritise health determinants for wastewater monitoring.
From page 126...
... Environmental Science: Water Research & Technology 1(8)
From page 127...
... 1973. Enterovirus surveillance following a community-wide oral poliovirus vaccination pro gram: A seven-year study.
From page 128...
... 2021. Wastewater monitoring raises privacy and ethical considerations.
From page 129...
... patient -- Pennsylvania, 2016. Morbidity and Mortality Weekly Report 65(36)
From page 130...
... Morbidity and Mortality Weekly Report 71(33)
From page 131...
... 2022. Diurnal variability of SARS-CoV-2 RNA concentrations in hourly grab samples of wastewater influent during low COVID-19 incidence.
From page 132...
... 2015. Meta-genomic analysis of toilet waste from long distance flights: A step towards global surveillance of infectious diseases and antimicrobial resistance.
From page 133...
... 2001. Poliovirus surveillance by examining sewage water specimens: Studies on detection probability using simulation models.
From page 134...
... 2022. Wastewater surveillance using ddPCR reveals highly accurate tracking of Omicron variant due to altered N1 probe binding efficiency.
From page 135...
... im Ruhrgebiet durch Abwasseruntersuchungen [Experiments on poliomyelitis surveillance in an ­urban popula tion of the Ruhr Valley (Essen) by means of virological investigations of the sewage water (­author's transl)
From page 136...
... 2009. Characterization of a new metallo-β-lactamase gene, blaNDM-1, and a novel erythromycin esterase gene carried on a unique genetic structure in Klebsiella pneumoniae sequence Type 14 from India.
From page 137...
... 2019. Predicting seasonal influenza epidemics using cross-hemisphere influenza surveillance data and local internet query data.


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