Colleagues,
Thank you for your candor in Week 1. Your audits of the local data ecosystems were brutally honest and exactly what this course requires. You proved that the data exists, but it is deeply fragmented.
This week, we stop simply observing the fragmentation and start organizing it.
Our theme is Detecting Problems Before They Become Crises. We will explore why our robust infectious disease surveillance systems (like IDSR) often fail us when it comes to slow-moving Non-Communicable Diseases like cancer, and we will demystify the gap between Hospital and Population-Based registries.
Your Commitment This Week: ~2 Hours
- Watch: Video 1: The Anatomy of Surveillance and Video 2: Demystifying the Cancer Registry.
- Engage: Head to the discussion board. Let's step away from cancer for a minute—what is the absolute hardest condition to track in your setting? Let's diagnose the system.
- Submit: Download the Week 2 Job Aid below. You are going to design a realistic surveillance reporting framework for Imo State.
- Week 2: Reflection Activity
Let’s build a system that works for us, not against us.
We do not assign textbooks. However, if you have time on your commute or between rounds, these two open-access resources provide the exact architectural reality we are discussing this week.
- Resource 1: A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-Saharan Africa
- Why you should read it: This paper does not describe a theoretical utopia. It directly addresses the very real data quality issues, unreliable denominators, and fragmented reporting happening inside DHIS2 across the continent right now. It provides immediate, actionable solutions for the exact platforms you navigate weekly.
- Resource 2: WHO Toolkit – Section 3: Patient and Programme Monitoring (Cervical Cancer Control)
Why you should read it: A highly practical brief on how facility-level data elements (like a single VIA screen) must be aggregated into national Health Management Information Systems (HMIS). It perfectly outlines the "Observe" step of our course model by defining the core indicators needed to actually measure screening coverage and follow-up
These two resources are strictly tailored to the operational realities of registries and surveillance in the African context.
- Resource 1: IARC Technical Publication No. 43: Planning and Developing Population-Based Cancer Registries in Low- and Middle-Income Settings.
- Why you should read it: The International Agency for Research on Cancer (IARC) wrote the definitive guide for LMICs. Skip the theory and read Chapter 4 on "Data Sources." It perfectly aligns with our discussion on why relying solely on tertiary hospital data leads to dangerous blind spots in public health policy.
- Resource 2: WHO AFRO: Technical Guidelines for Integrated Disease Surveillance and Response (IDSR) in the African Region.
- Why you should read it: You don't need to read the whole manual. Skim the introduction to understand the core architecture of IDSR. Ask yourself while reading: How can we steal this rapid-response architecture and apply it to a slow-moving crisis like cervical cancer screening?