A collaborative data science project building a real-time health data platform for Somalia, focused on maternal and child health (0–5 years). The project explores maternal health, neonatal outcomes, and FGM impacts, while developing live dashboards and maps to support outbreak detection.
# Deqo’s Project: Real-Time Health Data in Somalia
## **Emerging Talent 6 - Collaborative Data Science Project (CDSP)**
This project is part of a collaborative data science initiative where we aim to create meaningful solutions aligned with pressing health needs in Somalia.
We are a team of aspiring data scientists designing a real-time health data platform that enables Somali health workers to input daily patient information, transforming it into live dashboards and maps. The system supports early outbreak detection, monitoring of chronic conditions, and informed resource allocation to underserved areas.
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## 🌍 Project Overview
**Title:** Real-Time Health Data Platform for Somalia: Maternal and Child health (0–5 years)
**Summary:**
This project will investigate the status of maternal and child health (0–5 years) with a focus on neonatal health in Somalia. The study is divided into two main parts: the first examines maternal health in Somalia, while the second focuses on the health of children under five years of age. Together, these two components aim to provide a comprehensive understanding of the current challenges and opportunities for improving health outcomes for mothers and young children in Somalia.
## 🎯 Problem Identification
### Design Thinking Process
We began by exploring the state of healthcare in Somalia through statistical data and academic research, which revealed several critical areas of concern.
#### 🔹 Divergence (Exploration phase)
We began by exploring the available data on Somalia’s health status. Our initial challenge was Somalia’s long-standing data drought, where for nearly three decades little to no nationally representative health data was available. This gap was addressed by the Somalia Health and Demographic Survey (SHDS) 2020, which became a cornerstone resource, effectively ending this 30-year data drought.
Using the SHDS dataset, we carried out broad exploratory research into multiple dimensions of Somalia’s health, i …