Stripe

Synthesis and Translation of Research and Innovation from Polio Eradication

In this module, we will explore the various data collected through polio eradication activities and how they are interpreted to support program decision making. Further we will consider factors which influence the quality of data.


Lecture 1: Using Data for Polio Decision-making 

1.1 Data Sources in Polio Eradication

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1.2 Surveillance Data

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1.3 Supplementary Immunization Activity (SIA) Data

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1.4 Social Mobilization Data

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1.5 Other Types of Data 

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1.6 Making Decisions Using Data 

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Lecture 2: Challenges and Strategies in Data Use 

2.1 Introduction

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2.2 The Importance of Incentives: Data Quality 

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2.3 The Promise and Limits of Technology: Information Technology for Decision-Making in Nigeria

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2.4 The Importance of Politics: Who Has Power over the Data and the Decision 

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Roundtable Discussion

Incentivizing Quality Data for Decision-making