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# Iganga Mayuge Health and Demographic Surveillance Site (IMHDSS)
This document provides an overview of a verbal autopsy dataset linked with climate data collected at the Iganga Mayuge Health and Demographic Surveillance Site (IMHDSS). The dataset covers the period from **January 1, 2007** to **December 31, 2022** and includes information on deaths among site residents. Causes of death were classified using the Inter-VA classification algorithm.
## Overview
The dataset is a random 10% sample of the complete data collected through verbal autopsies. Verbal autopsies involve interviews with surviving relatives or caregivers to gather details about the circumstances surrounding each death.
## Key Dataset Details
| Aspect | Description |
|----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|
| **Data Link** | [IMHDSS Verbal Autopsy Data](https://microdataportal.aphrc.org/index.php/catalog/165) |
| **Time Period Covered** | January 1, 2007 – December 31, 2022 |
| **Population** | Residents within the Iganga Mayuge Health and Demographic Surveillance Site |
| **Cause of Death Classification** | Inter-VA classification algorithm |
| **Method of Data Collection** | Verbal autopsy interviews with surviving relatives or caregivers |
| **Sample Size** | Random 10% sample of the entire dataset |
| **Full Dataset Access** | For access to the complete dataset, please follow the data link provided above. |
## Mode of Data Collection
The verbal autopsy method was employed to collect detailed accounts of the events and circumstances leading to each death. Trained interviewers conducted the process by engaging with surviving family members or caregivers to obtain accurate and comprehensive information.
## Access to Complete Dataset
This Markdown document describes a sample of the larger dataset. If you require access to the complete dataset or additional information, please visit the [APHRc Microdata Portal](https://microdataportal.aphrc.org/index.php/catalog/165).
## Acknowledgement
This work was carried out with the aid of a grant from Lacuna Fund, an initiative co-founded by The Rockefeller Foundation, Google.org, Canada’s International Development Research Centre, and GIZ on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ); and Wellcome.
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*Note: This document summarizes the key aspects of the dataset and serves as a quick reference guide. For more detailed methodology, data structure, and analysis guidelines, consult the full dataset documentation available via the provided link.*
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