DEATHS MORTALITY EXCESS MORTALITY MAPS MORE

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Methodology


Deaths

Reported deaths are taken from Destatis weekly dataset. The baseline is calculated as average of 2015-2019, adjusted for population changes and smoothed using a Loess & Gauss window function. The Normal range is +/- two standard deviations and the substantial increase threshold is four standard deviations above the baseline.

Rationale

Mortality is a basic indicator of health. Therefore, understanding its epidemiology is fundamental for effective public health planning and action. Vital statistics are accessible for all German states, but in most instances, these data are not readily available during crises or for imminent health threats. With the emergence of new diseases or threats of epidemics (e.g. pandemic influenza, SARS), decision makers will need such data to estimate the severity of the problem and inform any initiatives to be put in place as part of an effective public health response. As many public health threats are not restricted by borders, international unified approaches are critical to detect and estimate the magnitude of excess deaths, as pooling of data increases power to detect changes quickly. Mortality monitoring should be ongoing to detect when and where excess mortality occurs. Mortality monitoring becomes pivotal during influenza or other pandemics for several reasons. In a severe pandemic, mortality monitoring can be a robust way to monitor the pandemics progression and its public health impact when other systems are failing, due to an overburdened health care sector. Decision makers will require data on the pandemics impact and on deaths by age and geographical area in various stages of the pandemic.

US Data: USMortality European Data: EuroMOMO Worldwide Data: Mortality.org No medical advice & guarantee for correctness. Please always refer to: CDC & WHO

Sources