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Data Use for Disease Control & Global Health Decision-Making
Coursera
Course
Unknown

Data Use for Disease Control & Global Health Decision-Making

Johns Hopkins University

Learn to conduct epidemiologic surveillance and apply best practices in healthcare data collection and analysis to support decision-making, using polio eradication efforts as a case study.

Unknown3 weeksEnglish

About this Course

- Conduct epidemiologic surveillance to inform decision-making - Apply best practices for healthcare data collection and analysis - Apply the lessons learned from the polio eradication effort This informative three-week course will prepare you to meet the challenges of conducting epidemiologic surveillance to gather data to inform decision-making and planning. Using the polio eradication effort as a case study, you’ll address the application of surveillance systems in a wide variety of settings. Throughout the course, you’ll reflect on and apply the lessons learned from the global polio eradication initiative, an effort led by the World Health Organisation resolved to eradicate the disease poliomyelitis. You will learn lessons from this initiative - the largest of its kind in history -and will apply data for decision-making going forward. You’ll also discuss the challenges and strategies that can be presented when applying data. You will identify various different epidemiological systems in countries, such as the Democratic Republic of Congo and Nigeria, and on how to conduct data collection in remote areas. Then, you will discuss the best practices for conducting epidemiologic surveillance in a wide range of locations and will come to a range of solutions for the conclusion of how to conduct and use data in a variety of different situations

What You'll Learn

  • Conduct epidemiologic surveillance to inform decision-making
  • Apply best practices for healthcare data collection and analysis
  • Apply lessons learned from the global polio eradication initiative
  • Analyze health data to support planning
  • Enhance understanding of epidemiologic surveillance systems
  • Use data to improve health decisions

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete short practice activities

Instructors

O

Olakunle Alonge

Associate Professor

S

Svea Closser

Associate Professor

A

Anna Kalbarczyk

Assistant Scientist

Topics

Public Health
Health
Governance and Society
Social Sciences
Data Collection
Infectious Diseases
Data-Driven Decision-Making
Health Care
Decision Support Systems
Epidemiology

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الصحة العامة
الصحة
الحوكمة والمجتمع
العلوم الاجتماعية
جمع البيانات
الأمراض المعدية
اتخاذ القرار المبني على البيانات
الرعاية الصحية
Decision Support Systems
Epidemiology

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