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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
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Evidence-Based Public Health

Stefan K Lhachimi1, Malgorzata M Bala2, Giedrius Vanagas3

  • 1Cooperative Research Group for Evidence-Based Public Health (ebph), Institute for Public Health and Nursing Research, University of Bremen and Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstraße 30, 28359 Bremen, Germany; Health Sciences Bremen, University of Bremen, Bibliothekstraße 1, 28359 Bremen, Germany; Institute of Health Service Research and Health Economics, Faculty of Medicine, Heinrich-Heine University Düsseldorf, 40225 Düsseldorf, Germany.

Biomed Research International
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