Nanoro HDSS INDEPTH Core Dataset 2009-2015 (Release 2019)
DDI.INDEPTH.BF021.CMD2015.v1
DERRA Karim
ROUAMBA Eli
KAZIENGA Adama
OUEDRAOGO Sayouba
TINTO Halidou
VALEA Innocent
TAHITA Marc
SORGHO Hermann
KAFANDO Hyacinthe
PODA Guy
KABORE Lionel
KOALA Alain
iSHARE2 Technical Team
INDEPTH Network
Nanoro HDSS
Karim Derra
Franck HIEN
2019-06-26
Nesstar Publisher
DDI.INDEPTH.BF021.CMD2015.v1: 2019-06-26
DDI.INDEPTH.BF021.CMD2015.v1: Initial version for public release
Nanoro HDSS INDEPTH Core Dataset 2009-2015 (Released 2019)
INDEPTH.BF021.CMD2015.v1
TINTO Halidou
DERRA Karim
Field Team
Data Clerks
Nanoro Community and their Chiefs
Nanoro Health District and Adminatratrive Autorities
Institute of Tropical Medecine, Belgium
KAZIENGA Adama
HIEN S. Franck
VALEA Innocent
TAHITA Marc
ROUAMBA Eli
HIEN S. Franck
This dataset documentation is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.
Nesstar Publisher
Malaria Clinical Trials Alliance
Malaria Vaccine Initiative
European and Developing Clinical Trial Partnership
European Union
MALARIA IN PREGNANCY CONSORTIUM (GATES FONDATION)
National Institute of Health
WHO/TROPICAL DISEASE RESEARCH
BELGIUM CORPORATION (FRAMEWORK AGREEMENT 3 WITH ITM ANTWERP,BELGIUM)
PHARMACEUTICAL COMPANIES (GSK, SANOFI AVENTIS, SIGMA TAU, NOVARTIS)
INDEPTH NETWORK
iSHARE2 Helpdesk
Demographic Surveillance
Round 1 to 14 of demographic surveillance from 2009 to 2015
BF021.CMD2015.v1: Edited dataset for public distribution
Fertility
Mortality
Migration
Population
Demography [N01.224]
Emigration and Immigration [N01.224.625.350]
Mortality [N01.224.935.698]
Birth Rate [N01.224.935.849.500]
30ºC) followed by a dry season from November to May (the temperature may vary from 17ºC in December to a maximum of 43ºC in April).
The population under surveillance is about 63 395 residents (in 2011) with a majority of illiterate people. They are subsistence farmers, cattle-keepers and housewives. The main ethnic groups are Mossi, Gourounsi and Fulani.]]>
BURKINA FASO
Nanoro is a rural area located in the Centre-West of the country, at approximately 85 Km from the capital city, Ouagadougou. The HDSS area lies between longitudes 1°92537 and 2°3146 W and latitudes 12°57955 and 12°72863 N and covers 24 villages which represents a surface of 594.3 Km2 (~36% of the Nanoro Health District area). In this area, health care is provided by seven peripheral health posts and one referral hospital.
Individual
All individual resident in the HDSS
Event history data
This dataset contains data collected from 19th Mars 2009 to 31th December 2011
Coordinators
Field Supervisors
Field Workers
Community Key Informants
3 round for year
No sampling is done
Not Applicable
Proxy Respondent [proxy]
The questionnaires are designed by the Demographer in collaboration with the other member of the HDSS team. It's contains the household questionnaire, the compound questionnaire and all the events forms needed for the data capture concerning the events (marriage, pregnancy, birth, in/out-migration,death, verbal autopsy…)which must be registered during the round. After the validation of the questionnaires, the data management team make the copy of each questionnaire for the field team. Then, they print the household register by cluster for the field teambefore starting the next round.The data are collected by FW and controlled by FS.
Not Applicable
The forms are controlled by supervisor before moving for data entry
No refusals
Nanoro (BF021)
This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required.
iSHARE2 Help desk
. doi:10.7796/INDEPTH.BF021.CMD2016.v1"]]>
The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.
BF021.CMD2015.v1.NSDstat
Event History Data
279506
14
Nesstar 200801
Nanoro HDSS
BF021.CMD2015.v1
Centre Related Variables
Individual Related Variables
Event Related Variables
Birth Related Variables
This group contains Birth (BTH) related variables
RecNr
279506
0
1
279506
139753.5
80686.577
A sequential number uniquely identifying each record in the data file
CountryId
279506
0
ISO 3166-1 numeric code of the country where the surveillance site is situated
231
279506
CentreId
279506
0
An identifier issued by INDEPTH to each member centre of the format CCNNS, Where CCNNS is the INDEPTH Member site code, constructed as follows:- CC the ISO 3166-1 alpha-2 code of the country where the site is situated- NN is a sequential number uniquely identifying an INDEPTH member centre within the country. Starting with 01 to 99, for a maximum of 99 centres per country-S is a sequential character uniquely identifying the geographical surveillance site. Starting with 1 to 9, thereafter A to Z, for a maximum of 35 sites per centre
BF021
279506
IndividualId
279506
0
1
104738
52400.691
30262.953
A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not the same as the identifier used by a contributing centre to be identify the individual
Sex
279506
0
0
Unknown
0
1
Male
116963
2
Female
162543
DoB
279506
1897-12-31
2015-12-31
The date of birth of the individual Format YYYY-MM-DD
EventCount
279506
0
The total number of events associated with this individual in this data set
2
84442
3
97860
4
51292
5
23635
6
13026
7
4711
8
2768
9
972
10
540
11
110
12
84
13
52
14
14
EventNr
279506
0
A number increasing from 1 to EventCount for each event record in order of event occurred
1
95765
2
95765
3
53544
4
20924
5
8101
6
3374
7
1203
8
530
9
184
10
76
11
22
12
12
13
5
14
1
EventCode
279506
0
A code which identifies the type of event that has occurred
BTH
Birth
13184
DLV
Delivery
12786
DTH
Death
2856
ENT
Entry
15370
ENU
Enumeration
54805
EXT
Exit
17562
IMG
In-Migration
32042
OBE
Observation End
95765
OBL
Last Observation
101
OBS
Observation
0
OMG
Out-Migration
35035
EventDate
279506
2009-03-19
2016-01-01
The date on which the event occurred Format: YYYY-MM-DD
ObservationDate
279391
2015-06-16
2019-01-23
Date on which the event was observed (recorded), also known as surveillance visit date Format YYYY-MM-DD
2015-06-16
256022
2015-06-26
477
2015-06-29
201
2015-07-02
141
2015-07-08
11
2015-11-07
172
2015-11-08
663
2015-11-09
860
2015-11-13
135
2015-11-14
3
2015-11-17
8
2015-11-19
12
2015-11-20
157
2015-11-21
49
2015-12-01
2329
2015-12-03
182
2015-12-04
344
2015-12-08
109
2015-12-09
63
2015-12-10
284
2015-12-11
58
2015-12-15
44
2015-12-16
17
2015-12-17
119
2015-12-18
232
2015-12-23
25
2015-12-24
84
2015-12-31
81
2016-01-02
86
2016-01-07
70
2016-01-08
192
2016-01-09
51
2016-01-14
46
2016-01-15
423
2016-01-17
116
2016-01-20
5
2016-01-21
113
2016-01-22
251
2016-01-26
22
2016-01-27
166
2016-01-28
31
2016-01-29
211
2016-01-30
37
2016-02-03
53
2016-02-05
225
2016-02-10
11
2016-02-12
499
2016-02-17
30
2016-02-19
584
2016-02-24
105
2016-02-26
240
2016-02-29
62
2016-03-04
212
2016-03-05
48
2016-03-07
131
2016-03-10
111
2016-03-11
133
2016-03-16
200
2016-03-18
181
2016-03-22
56
2016-03-23
104
2016-03-25
235
2016-03-29
268
2016-04-01
95
2016-04-05
40
2016-04-07
64
2016-04-08
191
2016-04-10
138
2016-04-11
33
2016-04-13
134
2016-04-14
57
2016-04-15
451
2016-04-18
12
2016-04-19
61
2016-06-13
2267
2016-06-14
152
2016-06-15
278
2016-06-16
96
2016-06-17
2
2016-06-21
2298
2016-06-22
301
2016-07-12
6
2016-07-18
10
2016-07-19
36
2016-07-21
47
2017-03-14
6
2017-03-15
18
2017-03-30
4
2017-04-07
3
2017-04-18
2
2017-04-20
2
2017-05-08
2
2017-06-21
2
2017-07-20
5
2017-09-13
10
2017-09-14
2
2017-09-17
3
2017-09-25
849
2017-09-26
107
2017-09-27
2
2017-09-28
8
2017-09-29
40
2017-09-30
183
2017-10-01
62
2017-10-05
200
2017-10-06
75
2017-10-13
117
2017-10-14
126
2017-10-15
23
2017-10-20
62
2017-10-21
138
2017-10-22
26
2017-10-26
46
2017-10-30
162
2017-11-03
36
2017-11-04
45
2017-11-05
8
2017-11-06
11
2017-11-07
2
2017-11-10
94
2017-11-11
45
2017-11-12
60
2017-11-16
65
2017-11-17
37
2017-11-18
54
2017-11-20
29
2017-11-24
7
2017-11-26
110
2017-11-30
15
2017-12-02
43
2017-12-14
39
2017-12-20
11
2017-12-21
68
2017-12-22
4
2018-01-26
103
2018-01-31
43
2018-02-02
3
2018-02-08
10
2018-02-20
2
2018-02-22
2
2018-03-05
8
2018-03-06
1
2018-03-07
20
2018-03-26
6
2018-03-27
7
2018-03-28
3
2018-03-29
1
2018-04-05
8
2018-04-11
30
2018-04-12
2
2018-04-19
10
2018-04-23
4
2018-04-24
6
2018-05-07
25
2018-05-14
54
2018-05-29
152
2018-06-04
74
2018-06-12
48
2018-06-27
9
2018-07-02
113
2018-07-10
38
2018-07-16
40
2018-08-08
125
2018-08-13
41
2018-08-22
50
2018-08-28
29
2018-08-31
1
2018-09-03
15
2018-09-05
1
2018-09-11
16
2018-09-17
40
2018-09-20
1
2018-10-04
47
2018-10-06
1
2018-11-12
1
2018-11-15
2
2018-11-19
18
2018-11-23
3
2018-11-26
9
2018-11-27
14
2018-11-28
14
2018-11-29
14
2018-12-04
19
2018-12-05
13
2018-12-13
2
2018-12-17
4
2018-12-20
3
2018-12-21
2
2018-12-26
6
2018-12-27
3
2019-01-08
4
2019-01-15
1
2019-01-16
21
2019-01-17
18
2019-01-21
2
2019-01-23
2
LocationId
279506
0
1
6093
3035.115
1753.007
Unique identifier associated with a residence unit within the site and is the location where the individual was or became resident, when the event occurred. this identifier is not the same as the identifier used internally by the contributing centre
MotherId
25970
253536
2
104733
52329.199
30418.871
The individual of the mother, only provided for BTH events
DeliveryId
25970
253536
1
16256
7543.847
4517.02
The RecNr of the delivery event associated with this birth