Wastewater surveillance may complement other existing human surveillance systems to monitor influenza. Wastewater data cannot determine the source of influenza A viruses. Detections could come from a human or from an animal (like a bird) or an animal product (like milk from an infected cow).
No API but the data can be downloaded as a CSV file: https://www.cdc.gov/e0e53cec-a7e1-4357-a582-dd64f0cc3b1f
There is some data here that can be analyzed: https://www.cdc.gov/wcms/vizdata/NCEZID_DIDRI/FluA/H5N1Map.json
This has a tl;dr: https://www.cdc.gov/wcms/vizdata/NCEZID_DIDRI/FluA/H5N1Databites.json
A dashboard tracking SARS-CoV-2 in California, based upon continual waste water analysis and monitoring. Other infectious viruses can be tracked from here as well, but it defaults to COVID.
This dashboard can probably be reverse engineered to extract the data for other purposes.
RSS feeds published by the US Centers for Disease Control.
The GISAID Initiative promotes the rapid sharing of data from all influenza viruses and the coronavirus causing COVID-19. This includes genetic sequence and related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how viruses evolve and spread during epidemics and pandemics.
GISAID does so by overcoming disincentive hurdles and restrictions, which discourage or prevented sharing of virological data prior to formal publication.
The Initiative ensures that open access to data in GISAID is provided free-of-charge to all individuals that agreed to identify themselves and agreed to uphold the GISAID sharing mechanism governed through its Database Access Agreement.
All bonafide users with GISAID access credentials agreed to the basic premise of upholding a scientific etiquette, by acknowledging the Originating laboratories providing the specimens, and the Submitting laboratories generating sequence and other metadata, ensuring fair exploitation of results derived from the data, and that all users agree that no restrictions shall be attached to data submitted to GISAID, to promote collaboration among researchers on the basis of open sharing of data and respect for all rights and interests.