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Related Concept Videos

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Steps in Outbreak Investigation

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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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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach.

Anne Perrocheau1, Hannah Brindle2, Chrissy Roberts2

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This study identified essential data points for outbreak investigations in remote areas. The developed "Time zero initial case investigation" (T0) form standardizes data collection during health emergencies.

Keywords:
DelphiField investigationMinimum variablesOutbreakQuestionnaireRemote settings

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Effective public health responses require timely and accurate data during health emergencies.
  • Data collection in remote or complex settings is challenging due to limited resources and multiple operator tasks.
  • Standardized tools are needed to facilitate essential data collection during early public health event investigations.

Purpose of the Study:

  • To define the minimum set of quantitative information for outbreak investigations, regardless of the cause or setting.
  • To develop a standardized data collection form for the initial stages of an outbreak investigation.

Main Methods:

  • A Delphi process involving epidemiologists was used to categorize variables for an initial outbreak investigation form.
  • Two rounds of an online survey were conducted between January and June 2019.
  • Consensus thresholds of 75% and 60% were applied to variable selection.

Main Results:

  • Nineteen variables (23.2%) reached consensus as 'essential' at the 75% threshold.
  • Twenty-six variables (31.7%) were deemed 'essential' at the 60% threshold.
  • Twenty-five variables were incorporated into the 'Time zero initial case investigation' (T0) form, available online via WHO since September 2019.

Conclusions:

  • This study represents the first Delphi process to establish minimum variables for outbreak investigations.
  • The T0 form aims to enhance efficiency and standardization in emergency data collection.
  • Improved data quality during field investigations is an anticipated outcome.