A Transmission Model of the 2010 Cholera Epidemic in Haiti
Bibliographic record
Abstract
Letters20 September 2011A Transmission Model of the 2010 Cholera Epidemic in HaitiAshleigh R. Tuite, MSc MPH and David N. Fisman, MD MPHAshleigh R. Tuite, MSc MPHFrom Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada.Search for more papers by this author and David N. Fisman, MD MPHFrom Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-155-6-201109200-00019 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:We welcome the opportunity to clarify our analysis for Dr. Rinaldo and colleagues. We modeled a pool of infective patients that included both hospitalized and nonhospitalized individuals, but calibrated the model to reproduce hospitalized cases that were accurately measured. Our analysis of vaccines and water was not intended to represent the massive and far more robust multiagency public health response to the Haitian cholera epidemic; rather, it was intended to explore the projected relative effects of low levels of vaccination and water distribution. We did not distinguish symptomatic and asymptomatic cases in our model.Dr. Rinaldo and colleagues ...References1. ProMED-mail. Cholera, Diarrhea and Dysentery Update 2011 (17): Haiti, DR. ProMED-mail 2011; 24 Jun: 20110624.1939. Accessed at www.promedmail.org on 26 June 2011. Google Scholar2. Kretzschmar M, Wallinga J. Mathematical models in infectious disease epidemiology.. In: Kramer A, Kretzschmar M, Krickenberg K, eds. Modern Infectious Disease Epidemiology. New York: Springer; 2009:209-21. Google Scholar3. Wallinga J, Lipsitch M. How generation intervals shape the relationship between growth rates and reproductive numbers. Proc Biol Sci. 2007;274:599-604. [PMID: 17476782] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M11-0096. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoCholera Epidemic in Haiti, 2010: Using a Transmission Model to Explain Spatial Spread of Disease and Identify Optimal Control Interventions Ashleigh R. Tuite , Joseph Tien , Marisa Eisenberg , David J.D. Earn , Junling Ma , and David N. Fisman A Transmission Model of the 2010 Cholera Epidemic in Haiti Andrea Rinaldo , Melanie Blokesch , Enrico Bertuzzo , Lorenzo Mari , Lorenzo Righetto , Megan Murray , Marino Gatto , Renato Casagrandi , and Ignacio Rodriguez-Iturbe Metrics 20 September 2011Volume 155, Issue 6Page: 404KeywordsCholeraConflicts of interestDisclosureImmunityInfectious diseasesPrevention, policy, and public healthVaccines ePublished: 20 September 2011 Issue Published: 20 September 2011 CopyrightCopyright © 2011 by American College of Physicians. All Rights Reserved.PDF DownloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".