--- title: Behind the Changing Forecast for Ebola Infections description: See how improved care has changed predicted outcomes canonical: https://time.com/3627900/behind-the-changing-forecast-for-ebola-infections/ author: David Johnson article:opinion: false article:content_tier: free article:published_time: 2014-12-10T20:56:15.000Z article:modified_time: 2026-02-22T02:44:00.893Z article:section: Health og:title: Ebola Predictions vs. Reality og:description: See how Ebola interventions have changed outcomes from CDC predictions og:url: https://time.com/3627900/behind-the-changing-forecast-for-ebola-infections/ og:site_name: TIME og:image: https://static.time.com/v3/assets/bltea6093859af6183b/bltde093bcdab65f2d0/6988d9b9bc6cfc69913e2a3c/time-logo.jpg?branch=production og:image:width: 1200 og:image:height: 675 og:image:alt: TIME og:type: article twitter:card: summary_large_image twitter:title: Ebola Predictions vs. Reality twitter:description: See how Ebola interventions have changed outcomes from CDC predictions twitter:image: https://static.time.com/v3/assets/bltea6093859af6183b/bltde093bcdab65f2d0/6988d9b9bc6cfc69913e2a3c/time-logo.jpg?branch=production --- # Behind the Changing Forecast for Ebola Infections by [David Johnson](https://time.com/author/dave-johnson/) ## David Johnson Dec 10, 2014 8:56 PM UTC by [David Johnson](https://time.com/author/dave-johnson/) ## David Johnson Dec 10, 2014 8:56 PM UTC In September, the Centers for Disease Control and Prevention predicted that without intervention, there could be up to [1.4 million Ebola Cases](http://www.cdc.gov/mmwr/preview/mmwrhtml/su6303a1.htm?s%5Fcid=su6303a1%5Fw#appendix) in Sierra Leone and Liberia by January 20, 2015. Scroll down to see predicted cases vs. reported cases, and the new trajectory of Ebola cases. **Predicted Cases vs. Reported Cases in Liberia and Sierra Leone** ↻ While the grim forecast was always presented as the worst case scenario, looking at predictions by country can provide a metric of the impact of intervention. In both Liberia and Sierra Leone, latest reports from the World Health Organization reveal different outcomes than expected. **Predicted Cases vs. Reported Cases in Liberia** ↻ As of Dec. 8, 2014, Liberia’s cases fell over 900,000 cases short of the CDC’s worst case scenario. At the time of the CDC report, Liberia had seen hundreds of new cases each week – more than double that of Sierra Leone. CDC’s model predicts future case numbers, assuming no intervention, according to Martin Meltzer, co-author of the CDC report. **Predicted Cases vs. Reported Cases in Sierra Leone** ↻ Dramatically fewer cases were predicted for Sierra Leone, where Ebola was located in May. But updated reports are far worse, with infections exceeding CDC’s prediction by nearly 5,000 as of Dec. 8, 2014\. The [latest report](http://time.com/wp-content/uploads/2014/12/roadmapsitrep%5F3dec2014%5Feng.pdf?ua=1) from the World Health Organization states that infection rates are increasing in northern Sierra Leone, where treatment and isolation centers are stretched to capacity. “Part of forecasting is that things change unforeseen, such as in Liberia with increased interventions and changed behavior,” Meltzer said. The prediction model can be used to understand the potential impact of worsening conditions in Sierra Leone. TIME updated CDC’s [prediction model](http://stacks.cdc.gov/view/cdc/24900) with the past three months of WHO reports to forecast cases in both countries. Through Jan. 20, 2015, when the CDC’s worst-case model predicted 1.4 million cases, the updated model forecasts roughly 53,000 cases in Sierra Leone and Liberia. **Updated Prediction for Liberia** ↻ By Jan. 20, 2015, the updated model forecasts 21,00 cases in Liberia. **Updated Prediction for** **Sierra Leone** ↻ The updated model predicts just over 32,000 cases in Sierra Leone by Jan. 20, 2015. **Methodology** CDC multiplies all case numbers by 2.5 to correct for underreporting. The [CDC prediction model](http://stacks.cdc.gov/view/cdc/24900) is adjusted to match the trajectory shown from the updated data, taken from the [WHO situation reports](http://www.who.int/csr/disease/ebola/situation-reports/archive/en/). ```json [{"@context":"https://schema.org","@type":"NewsArticle","@id":"https://time.com/3627900/behind-the-changing-forecast-for-ebola-infections/","mainEntityOfPage":{"@type":"WebPage","@id":"https://time.com/3627900/behind-the-changing-forecast-for-ebola-infections/"},"headline":"Behind the Changing Forecast for Ebola Infections","datePublished":"2014-12-10T20:56:15.000Z","dateModified":"2026-02-22T02:44:00.893Z","description":"See how improved care has changed predicted outcomes","url":"https://time.com/3627900/behind-the-changing-forecast-for-ebola-infections/","keywords":["ebola"],"thumbnailUrl":"","author":[{"@type":"Person","name":"David Johnson","jobTitle":null,"url":"https://time.com/author/dave-johnson/"}],"articleSection":"Health","image":[],"publisher":{"@type":"Organization","name":"Time","url":"https://time.com/","logo":{"@type":"ImageObject","url":"https://time.com/images/logo.png","width":528,"height":156},"foundingDate":"March 3, 1923","sameAs":["https://www.facebook.com/time","https://www.instagram.com/time/?hl=en","https://twitter.com/time","https://www.pinterest.com/timemagazine"]}},{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"/section/health/","name":"Health"}},{"@type":"ListItem","position":2,"item":{"@id":"https://time.com/3627900/behind-the-changing-forecast-for-ebola-infections/","name":"Behind the Changing Forecast for Ebola Infections"}}]}] ```