Data for: "Estimating force of infection from serologic surveys with imperfect tests"

Alexander, N

, Carabali, M and Lim, JK (2021). Data for: "Estimating force of infection from serologic surveys with imperfect tests". [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00002252.

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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.

Keywords

Dengue fever, Respiratory infections, Serology, Medical risk factors, Enzyme-linked immunoassays, Virus testing, Immune response, Surveys

Item Type	Dataset
Capture method	Aggregation
Date	4 March 2021
Language(s) of written materials	English
Creator(s)	Alexander, N , Carabali, M and Lim, JK
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited	17 May 2021 10:08
Last Modified	08 Jul 2021 12:52
Publisher	London School of Hygiene & Tropical Medicine