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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / KEN_2004_GEHDS-W1_V01_EN_M_V01_A_OCS / variable [V844]
agricultural-surveys

Greater Eldoret Health and Development Survey, Wave 1, 2004

Kenya, 2004
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Reference ID
KEN_2004_GEHDS-W1_v01_EN_M_v01_A_OCS
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
167252
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • aghead_a
  • aghead_b
  • aghead_c
  • aghead_d
  • aghead_e
  • aghead_e1_2
  • agspouse_a
  • agspouse_b
  • agspouse_c
  • agspouse_c_2
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I12
  • assets_I17
  • assets_II
  • assets_II5
  • assets_II11
  • assets_III
  • assets_III7
  • assets_III13
  • assets_IV
  • assets_V
  • assets_V6
  • assets_V12
  • assets_VI
  • behavior
  • behavior_c5
  • education
  • educexp
  • enterprise
  • food
  • health
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hh_roster
  • identification
  • income
  • iroster
  • othexp
  • polygamoushh
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_a27
  • shocks_b30
  • shocks_b33
  • shocks_b36
  • shocks_b40
  • shocks_c44
  • shocks_c49
  • shocks_c53
  • timealloc
  • transfers
  • transfers_a3
  • transfers_a9
  • transfers_a16
  • transfers_b3
  • transfers_d
  • youth

Illness B: (h08b)

Data file: health

Overview

Valid: 586
Invalid: 4202
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 26
Format: Numeric

Questions and instructions

Literal question
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Categories
Value Category Cases
1 Diarrhea (acute) 4
0.7%
2 Diarrhea (chronic, 1 month or more) 1
0.2%
3 Weight loss (major) 5
0.9%
4 Fever (acute) 34
5.8%
5 Fever (recurring) 4
0.7%
6 Skin rash 8
1.4%
7 Weakness 110
18.8%
8 Severe headache 118
20.1%
9 Fainting 3
0.5%
10 Chills (feeling hot and cold) 19
3.2%
11 Vomiting 31
5.3%
12 Cough 65
11.1%
13 Productive cough 0
0%
14 Coughing blood 1
0.2%
15 Pain on passing urine 2
0.3%
16 Genital sores 0
0%
17 Mental disorder 1
0.2%
18 Abdominal pain 38
6.5%
19 Sore throat 11
1.9%
20 Difficulty breathing 7
1.2%
21 Burn 0
0%
22 Fracture 1
0.2%
23 Wound 5
0.9%
24 Child birth 1
0.2%
25 Ameobeosis 0
0%
26 Other (specify) 117
20%
Sysmiss 4202
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Interviewer instructions
Record the first five symptoms named by the respondent. If there are fewer than five symptoms named, leave the remaining columns blank. Although you should probe for additional symptoms, please do not suggest any specific symptoms to the respondent. Instead, try as best as possible to have the respondent be as specific as possible. For example if she says general weakness, probe for what this might entail.
Question post text
Record up to 5 symptom codes.

Description

Universe
All household members.
Source of information
Primary female respondent
Back to Catalog
Food and Agriculture Organization of the United Nations

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