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Self-paced course

Introduction to Go.Data – Field data collection, chains of transmission and contact follow-up

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Go.Data is a field data collection platform focusing on case data (including lab, hospitalization and other variables though case investigation form) and contact data (including contact follow-up). This briefing package provides an orientation to the purpose, benefits and utilization of Go.Data, consisting of 7 modules with a narrated walkthrough of the key features of the Go.Data web-based platform and mobile application.

Please note: These materials were launched/or/last updated on 09/04/2020.

Self-paced
Language: English
COVID-19
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Course information

This course is also available in the following languages:

Español - Монгол - Українська - French

Overview: Go.Data is a collaborative project coordinated by WHO and conducted in cooperation with partners of the Global Outbreak Alert and Response Network (GOARN). The Go.Data tool is available globally to WHO staff, member states and Partners to support and facilitate outbreak investigation focusing on field data collection, contact tracing and visualisation of chains of transmission. The briefing package will introduce the Go.Data tool and provide an orientation of the key features and functionalities of the Go.Data software.

Learning objectives: By the end of this briefing, participants should be able to:

  • state what Go.Data is and is not;
  • describe the context of potential application of Go.Data in an outbreak investigation;
  • describe the type of data Go.data handles and what Go.Data can do with that data; and
  • recall the Go.Data IT infrastructure and how the Go.Data tool is supported.

Course duration: Approximately 1.5 hours

Certificates: A Confirmation of Participation is available to participants who complete at least 80% of the course materials.

Course contents

  • Module 1: Introduce the Go.Data project:

    By the end of this module, participants should be able to: introduce the Go.Data project and list the key features of the Go.Data tool.

  • Module 2: Go.Data Platform overview and persistent elements of the interface:

    By the end of this module, participants should be able to: create users and assign roles on the Go.Data platform; describe the role of a Go.Data systems administrator; recognise the persistent elements of the user interface; and summarise the way in which reference data is managed.

  • Module 3: Outbreaks and templates, including case investigation form and contact follow-up form:

    By the end of this module, participants should be able to: create an outbreak on the Go.Data platform; recall the key steps involved in managing templates and concurrent outbreaks on the Go.Data platform; list the key steps for designing a case investigation on the Go.Data platform; and list the key steps for designing a contact follow-up form on the Go.Data platform.

  • Module 4: Cases, Contacts and Events:

    By the end of this module, participants should be able to: explain how to input and export case data using Go.Data; recognise how to create relationships and exposures between cases in Go.Data; explain how to create and add cases to events using Go.Data; and recall how to view event relationships and chronology.

  • Module 5: Contact follow-up including usage of the Go.Data mobile app:

    By the end of this module, participants should be able to: explain how to add contacts to cases and events in Go.Data; recall how to convert contacts to cases; recall how to modify contact data; describe the process of producing and updating contact follow-up lists; and paraphrase how to manage contact follow up using the Go.Data mobile app.

  • Module 6: Laboratory Data:

    By the end of this module, participants should be able to explain how to edit case data and confirm status using lab results.

  • Module 7: Dashboard, Data visualization and Data exports:

    By the end of this module, participants should be able to: recognise the key features and functions of the Go.Data platform dashboard; explain how Go.Data can be used to visualise chains of transmission as networks and timelines; and describe how Go.Data can import and export data in most common data formats.

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Certificate Requirements

  • Gain a Confirmation of Participation by completing at least 80% of the course material.