Syndromic survey de-identified data in SPSS

Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES. 2019. Syndromic survey de-identified data in SPSS. [Online]. PLOS ONE. Available from: https://doi.org/10.1371/journal.pone.0212218.s005

Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES. Syndromic survey de-identified data in SPSS [Internet]. PLOS ONE; 2019. Available from: https://doi.org/10.1371/journal.pone.0212218.s005

Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES (2019). Syndromic survey de-identified data in SPSS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0212218.s005

Description

Data capture method Unknown
Date (Date published in a 3rd party system) 11 March 2019
Language(s) of written materials English
Data Creators Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Participating Institutions Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh, University of Texas Medical Branch, Galveston, Texas, United States, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States, Infectious Diseases Division (IDD), icddr,b, Dhaka, Bangladesh
Funders
ProjectFunderGrant NumberFunder URI
UNSPECIFIEDCenters for Disease Control and Prevention1U51GH001209http://dx.doi.org/10.13039/100000030
Date Deposited 03 Nov 2023 10:57
Last Modified 03 Nov 2023 10:57
Publisher PLOS ONE

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