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. [Dataset]. PLOS ONE. https://doi.org/10.1371/journal.pone.0212218.s005

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De-identified syndromic survey data made available in SPSS format. This supports the PLOS ONE paper, "An epidemic of chikungunya in northwestern Bangladesh in 2011" and is hosted on Figshare.

Keywords

Chikungunya infection; Chikungunya virus; Pain; Bangladesh; Epidemiology; Fevers; Mosquitoes; Enzyme-linked immunoassays

Item Type	Dataset
Resource Type	Resource Type Resource Description Dataset Quantitative
Capture method	Unknown
Date	11 March 2019
Language(s) of written materials	English
Creator(s)	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 (-2023)
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	Project Funder Grant Number Funder URI UNSPECIFIED Centers for Disease Control and Prevention 1U51GH001209 http://dx.doi.org/10.13039/100000030
Date Deposited	03 Nov 2023 10:57
Last Modified	03 Feb 2026 11:38
Publisher	PLOS ONE