Big brother helpt de pandemie te voorspellen

[morte-vivante]

Public health decision-makers track the COVID-19 pandemic using metrics—syndromic surveillance data, cases, hospitalizations, and deaths—that lag disease transmission by days or weeks. Here, we have described a method for population-level surveillance of close interpersonal contact, the primary route for person-to-person transmission of SARS-CoV-2, by using anonymized mobile device geolocation data. The contact rate can reveal high-contact conditions likely to spawn local outbreaks or areas where residents experience high contact rates, days or weeks before the resulting cases are detected by public health authorities through testing, traditional case investigation, and contact tracing. Because mobile device geolocation data are passively collected, contact rates are invariant to allocation and availability of public health resources for case finding. For this reason, contact rates could serve as a better early-warning signal for outbreaks than cases alone, especially when test volume is low. Contact rates could also have advantages over surveillance approaches using mobility metrics because interpersonal contact within 6 feet is more directly related to the likelihood of disease transmission by direct contact or respiratory droplets.

Contact rates could benefit public health efforts to prevent transmission of SARS-CoV-2 in two ways. First, community engagement programs could be directed to locations where the contact rate is high to improve social distancing practices or provide additional protective measures such as ensuring adequate ventilation, environmental cleaning, and mask use. Second, enhanced testing in areas with high contact rates and residential areas of people experiencing that contact could lead to earlier and more complete detection of cases. Earlier and more complete detection of cases enables faster and more complete isolation of cases and quarantine of contacts, which are crucial to stop transmission and stop outbreaks.

We have focused in this study on the U.S. state of Connecticut, but the usefulness of anonymized and passively collected contact data could be generalized to other settings. In the United States, where mobile phone usage is high, states or towns can implement contact surveillance at low cost by working with private sector mobile device data providers.

Nonpharmaceutical interventions such as stay-at-home mandates, business and school closures, and social distancing guidelines also had uneven adoption and compliance varied across time and geography. Surveillance of contact rates could help officials better distribute testing resources and monitor intervention compliance in numerous settings.

https://www.science.org/doi/10.1126/sciadv.abi5499

Toch altijd even slikken om te lezen waarvoor de data van dat mobieltje in uw sjakoche allemaal voor misbruikt kan worden

Maar in dit geval is het voor De Goede Zaak, en gaat dus toegejuicht worden. Zoals dat appje dat ge nodig hebt voor uw sociaal leven, dat toont dat ge een gehoorzame burger zijt

[patrickve]

Oorspronkelijk geplaatst door morte-vivante

https://www.science.org/doi/10.1126/sciadv.abi5499

Toch altijd even slikken om te lezen waarvoor de data van dat mobieltje in uw sjakoche allemaal voor misbruikt kan worden

Maar in dit geval is het voor De Goede Zaak, en gaat dus toegejuicht worden. Zoals dat appje dat ge nodig hebt voor uw sociaal leven, dat toont dat ge een gehoorzame burger zijt

Het is merkwaardig dat men zo een doorgedreven analyses voert, en totaal geen even grondige analyses doorvoert van de ZIN van die maatregelen.

Men lijkt ervan uit te gaan dat als men VANDAAG een besmetting heeft vermeden, dat IETS geholpen heeft, niet beseffende dat dat gewoon een potentiële besmetting is die dus morgen kan gebeuren.