Understanding Mortality Data: A Step-by-Step Guide to CDC WONDER, Joinpoint Analysis, and Forecasting Models
Abdalhakim Shubietah, Mohammed Ruzieh, Belal Mohamed Hamed, Sarah Saife, Mohamed Abuelazm, Mohamed S Elgendy, Ahmed Emara, Ahmed Ibrahim, Ameer Awashra, Ibrahim Gowaily, Mohammed AbuBaha, Ghada Shbeitah, Elsayed Balbaa, Mohamed Saad Rakab, Mohammed Mhanna · 2026
Read Understanding Mortality Data: A Step-by-Step Guide to CDC WONDER, Joinpoint Analysis, and Forecasting Models by Abdalhakim Shubietah, Mohammed Ruzieh, Belal Mohamed Hamed, Sarah Saife, Mohamed Abuelazm, Mohamed S Elgendy, Ahmed Emara, Ahmed Ibrahim, Ameer Awashra, Ibrahim Gowaily, Mohammed AbuBaha, Ghada Shbeitah, Elsayed Balbaa, Mohamed Saad Rakab, Mohammed Mhanna (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13168393.txt.
Description
Abdalhakim Shubietah, Mohammed Ruzieh, Belal Mohamed Hamed, and a wider team wrote this guide paper, published in 2026. It teaches researchers how to work with CDC WONDER, the free United States database of death records, without falling into its common traps.
The guide walks through the database screens, shows how death rates are figured, and explains how to set up searches using main and added causes of death. Worked examples show how results swing with search settings, such as whether codes are combined with AND or OR logic. The authors also cover age adjustment, a frequent source of error. Later sections introduce trend-spotting tools and compare classic forecasting models with newer deep learning ones. The message is that the tool is powerful but easy to misread.
Catalog record
| CREATOR | Abdalhakim Shubietah, Mohammed Ruzieh, Belal Mohamed Hamed, Sarah Saife, Mohamed Abuelazm, Mohamed S Elgendy, Ahmed Emara, Ahmed Ibrahim, Ameer Awashra, Ibrahim Gowaily, Mohammed AbuBaha, Ghada Shbeitah, Elsayed Balbaa, Mohamed Saad Rakab, Mohammed Mhanna |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |