Alexander, N, Carabali, M and Lim, JK. 2021. Data for: "Estimating force of infection from serologic surveys with imperfect tests". [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002252.
Alexander, N, Carabali, M and Lim, JK. Data for: "Estimating force of infection from serologic surveys with imperfect tests" [Internet]. London School of Hygiene & Tropical Medicine; 2021. Available from: https://doi.org/10.17037/DATA.00002252.
Alexander, N, Carabali, M and Lim, JK (2021). Data for: "Estimating force of infection from serologic surveys with imperfect tests". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002252.
Description
Supporting files for a paper titled "Estimating force of infection from serologic surveys with imperfect tests". This includes: a Microsoft Excel file for use in eliciting beliefs (S1 File), R code for analysis of standalone survey (S2 File), R code for analysis of repeated surveys (S3 File), R utility functions for analysis of standalone and repeated surveys (S4 File), a CSV file containing paired serological status data from the first and last surveys of the Medellin study (S5 file), and a estimation of the force of infection in the Medellin study (S1 Figure). Open access files are hosted on Figshare.
Data capture method | Aggregation |
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Date (Date published in a 3rd party system) | 4 March 2021 |
Language(s) of written materials | English |
Data Creators | Alexander, N, Carabali, M and Lim, JK |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 17 May 2021 10:08 |
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Last Modified | 08 Jul 2021 12:52 |
Publisher | London School of Hygiene & Tropical Medicine |