Open ChrisRackauckas opened 1 year ago
@ChrisRackauckas can you look at #26 ? And then check off things here if they match what is here?
@anandijain, @vaibhavdixit02, @paulflang
I cannot tick boxes, so commenting what I found:
Case data:
I
but contains tested
, hospitalized
and deceased
, which can be used as proxy, I guess.Any factor for underreporting estimate? Wastewater time series: NOT FOUND
Change in hospitalization for people who are reinfected: no State of new york, people who reinfected?: no Median time to reinfection: no It may require R -> S ===> R -> S2: Idk Maybe model recovered as vaccinated S?: Idk
Case data:
* Expect time series data on I + R (6-month-milestone/evaluation/scenario_3/ta_1/google-health-data/usa-cases-hospitalized-by-age.csv) -> this is not `I` but contains `tested`, `hospitalized` and `deceased`, which can be used as proxy, I guess. * Need time series for total population of US over time: that is similar to the above, point, isn't it? Not
@paulflang I think the "new_confirmed" column refers to number of positive tests and hence infections (I). Schema is at https://github.com/GoogleCloudPlatform/covid-19-open-data/blob/main/docs/table-epidemiology.md
@paulflang more data to compute rates at https://github.com/DARPA-ASKEM/program-milestones/pull/32 -- for example this includes the answer to "10 gig file on whether hospitalized or not => percentage for the difference in parameters"
@shivaram : can I and @ArnoStrouwen get the rights to tick off boxes in this issue?
@shivaram : do you have wastewater data?
We are working on wastewater or underreporting data now. @YohannParis has the power to give rights to tick boxes
I've got the rights already. Thanks for working on underreporting/wastewater.
@paulflang I added some undercount from seroprevalence the literature in #38
Thanks. Is my interpretation correct, that is assumes zero reinfections (i.e. reinfections would not show up in changes in seroprevalence, but would show up in changes of case prevalence)?
Thats a good question. My read on it is that not accounting for reinfections is a limitation of this study. They say
Several other limitations also may have led to an underestimation of seroprevalence,
including the exclusion of specimens from people specifically seeking SARS-CoV-2 antibody testing,
the inability of these sero-surveillance methods to detect reinfection (particularly during
the Omicron phase[45], and the potential that some fully vaccinated people who are subsequently
infected may develop levels of N-antibody that fall below the assay's limit of detection
Hey, tracking this discussion here because there's a lot of moving parts. This is very raw, and we'll check things off as we find what we need, and modify the top post based on the changing landscape of what we need.
Case data:
Deaths and Hospitalizations
Vaccinations
Age-Stratification
Reinfection