Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Steps in Outbreak Investigation

Steps in Outbreak Investigation

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:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Artificial intelligence-driven triage and decision-making in trauma systems/settings.

Current opinion in anaesthesiology·2026

Same author

Cost-effectiveness of vasopressin in the treatment of septic shock: insights from a European societal perspective.

Journal of medical economics·2026

Same author

Evaluating AI-based comprehensive clinical decision support for sepsis and ARDS: protocol for a Clinician Turing Test.

BMJ open·2025

Same author

Red blood cell transfusion in brain-injured patients: a paradigm shift?

Minerva anestesiologica·2025

Same author

Optimal Vasopressin Initiation in Septic Shock-Reply.

JAMA·2025

Same author

Harnessing AI in critical care: opportunities, challenges and key steps for success.

Thorax·2025

Same journal

From size to function: moving beyond body mass index to frailty and central adiposity phenotypes.

Intensive care medicine·2026

Same journal

Effects of a clinical metagenomics intervention on clinical outcomes, healthcare costs, and health-related quality of life in patients with sepsis or septic shock: results of the randomized-controlled DigiSep trial.

Intensive care medicine·2026

Same journal

Hypercalcemia in intensive care unit: pathophysiological mechanisms and clinical implications.

Intensive care medicine·2026

Same journal

EIT in ARDS: what we know and what we still do not.

Intensive care medicine·2026

Same journal

Burden of and risk factors for neurological complications in critical illness.

Intensive care medicine·2026

Same journal

Family support in intensive care: beyond no effect trials and the hidden challenges of cluster randomization.

Intensive care medicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 14, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

Database-based machine learning in sepsis deserves attention. Author's reply

Alexandre Kalimouttou¹, Romain Pirracchio^2,3

¹Université Paris Cité and Université Sorbonne Paris Nord, Inserm UMR 1153, Center of Research in Epidemiology and Statistics (CRESS), ECSTRRA Team, 75004, Paris, France.

Intensive Care Medicine

|January 10, 2023

Summary

No abstract available in PubMed .

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Published on: December 9, 2022

Related Experiment Videos

Last Updated: Aug 14, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Published on: December 9, 2022