Brian Achaye
Brian Achaye

Data Scientist

Data Analyst

ODK/Kobo Toolbox Expert

BI Engineer

Data Solutions Consultant

Brian Achaye

Data Scientist

Data Analyst

ODK/Kobo Toolbox Expert

BI Engineer

Data Solutions Consultant

Mpox Outbreak Survey Questionnaire – Democratic Republic of Congo with ODK Central & Kobo Toolbox

  • Client: International Rescue Committee (DRC)
  • Categories: Data Analysis, Data Collection, ODK Collect, Kobo ToolBox
  • Date: 28 October, 2022

Project Overview

In an effort to combat Mpox Outbreak the and improve public health, we designed and implemented a Mpox Outbreak Survey Questionnaire targeting communities in DRC Congo. The survey aimed to assess disease spread, the symptoms and also investigate the contact persons.. The insights gathered helped inform strategies for response from the Ministry of Health and other stakeholders in Burundi.

Objectives

  • Evaluate the spread of the disease.

  • Understand the signs and symptoms.

  • Identify gaps in response ads service delivery.
  • Recommend effective responses.

Methodology

We developed a structured survey using ODK XLSForm, enabling efficient data collection through mobile devices. The survey covered key areas such as:

  • Demographics and household size

  • Signs and symptoms like fevers, rashes, etc.

  • Frequency of travel for the residences.

  • If the sick persons had sought treatment earlier.

  • Measures people are taking to prevent Mpox.

  • Awareness of the Mpox vaccine.

Key Outcomes

  • Identified the spread of the Mpox outbreak.

  • Highlighted misconceptions about Mpox prevention.

  • Raised awareness of the Mpox vaccine.

  • Shared all the necessary finding with the stakeholders

Technologies Used

  • ODK & KoboToolbox for mobile data collection

  • Excel & Python for data cleaning and analysis

  • GIS Mapping for spatial analysis of Mpox outbreak coverage

Impact

The findings from this project contributed to better-targeted response from the stakeholders, ensuring that vulnerable populations—such as households with young children and pregnant women—received adequate protection against Mpox.

This project reflects my commitment to leveraging data science for social impact, enhancing public health initiatives through data-driven decision-making.

Click the download a copy of the XLS form.