TZA_2013_RHS_v01_M
Retrospective Household Survey 2013
The Useful Life of Bednets for Malaria Control: Attrition, Bioefficacy, Chemistry, Durability and insecticide Resistance
Name | Country code |
---|---|
Tanzania | TZA |
Other Household Survey [hh/oth]
This is a nationwide partially randomised retrospective evaluation of Long Lasting Insecticidal Net (LLIN) distribution campaigns followed by a nationwide partially randomised double-blinded prospective evaluation of three LLIN products over three years (from September 2013 until September 2016). The aims are to determine the useful life of LLINs from 1) a retrospective survey of Olyset® nets distributed by the Tanzanian government campaigns in 2009 and 2010; and 2) a prospective study of three different LLIN products (Olyset®, PermaNet®2.0 and Netprotect®) over three years using a nation-wide sampling framework across households in selected districts and villages in eight districts in mainland Tanzania. We are measuring the following outcome measures: 1) Attrition: Rate of net loss; 2) Physical integrity: proportionate Hole Index (pHI) by hole location; 3) Biological efficacy against mosquitoes: % mortality and % bloodfeeding and 4) Chemical residue: Amount of active ingredient per m2 of netting. Data on net attrition and household LLIN ownership and use is collected using a questionnaire on tablet PCs with ODK Collect. Data on holes and biological efficacy will be collected in the laboratory using standard laboratory methodologies. Data on chemical residue will be collected using High Performance Liquid Chromatography.
Sample survey data [ssd]
Lena Lorenz then cleaned and validated the data set provided by IHI Data Central, leading to v1.abcdr_complete_march14 (04/04/2014). From this cleaned version, Lena Lorenz then split the data up into smaller data tables due to the nature of the questionnaire, which contained loops within loops. This created a series of data tables for the primary enduser, most importantly for the household information: v2.abcdr_household_info and retrospective net information: v2.abcdr_netanalysis_march14 (all v2 were created 30/04/2014). Version dates are indicated in brackets within the text.
2014-04-30
Diseases
Disease prevention
We have enrolled households from 8 districts in mainland Tanzania. We have taken GPS coordinates from all the households visited and will create a GIS map of the geographical distribution of the study area.
We have enrolled households from 8 districts in mainland Tanzania.
Population are households in eight districts in mainland Tanzania (Bagamoyo, Kinondoni, Kilosa, Iringa Urban, Mbozi, Kahama, Geita, Musoma Rural). Within each district, we visited ten SAVVY enumeration areas and randomly selected 45 households within each enumeration area, i.e. 450 households per district. The only exception was Kinondoni, due to its urban nature, there were only 6 SAVVY enumeration areas and we therefore only selected 270 households in Kindondoni. Participation in the study was at the household level.
Name | Affiliation |
---|---|
Overgaard, Hans | Norwegian University of Life Sciences |
Moore, Sarah | Ifakara Health Institute |
Lorenz, Lena | London School of Hygiene & Tropical Medicine |
William Kisinza | National Institute for Medical Research |
Name | Affiliation | Role |
---|---|---|
Lorenz, Lena | London School of Hygiene & Tropical Medicine | Questionnaire design, sampling design, training, data cleaning |
Bradley, John | London School of Hygiene & Tropical Medicine | Sampling design |
Ifakara Health Institute |
Name | Role |
---|---|
Research Council of Norway | Financial support |
Name | Affiliation | Role |
---|---|---|
Lyatuu, Isaac | Ifakra Health Institute | Programmer of questionnaire |
Govella, Justine | Ifakra Health Institute | Programmer of questionnaire, extraction of data, trouble shoot, training |
Eight districts were non-randomly selected from a total of 23 SAVVY districts. These districts represent different zones in Tanzania, they also range in environmental, ecological and epidemiological characteristics to give us a range of different scenarios to measure LLIN durability. Within these 8 districts, there were between 6 to 20 enumeration areas randomly sampled by SAVVY. In Kinondoni, we sampled all 6 enumeration areas. In all other districts, if there were more than 10 enumeration areas, 10 were randomly selected by drawing lots. We obtained the household list from SAVVY baseline and randomly selected 90 households (45 study households and 45 replacement households) per enumeration area for each district (except Iringa, where only 80 households per enumeration area were selected due to a small number of households). Within each enumeration area, 45 households were visited. If a household head refused to participate, this household was replaced with one of the 45 replacement households. If a household head was unavailable, the house was visited a second time at a later date, before being replaced with a replacement household. The total target sample size was 3,420 households. The total household completion rate was 3,398/3,420 (99.4%). We collected a total of 6,832 used nets (not all from government campaigns), and distributed a total of 10,598 new nets (3,529 “type 1”, 3,523 “type 2”, 3,546 “type 3”).
99.40%
ODK Collect on Google Nexus tablet.
Start | End |
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2013-10-01 | 2013-12-11 |
Start date | End date |
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2013-10-01 | 2013-12-11 |
Name | Affiliation |
---|---|
IHI collaborators | Ifakara Health Institute |
The field teams consisted of 10 enumerators (selected by Mr Erasto Maziba from IHI) and 5 IHI technicians working with Sarah Moore in Bagamoyo. Each of the 5 technicians was the team leader for one of 5 teams consisting of 2 enumerators and 1 team leader. All 3 people in the group were responsible for conducting the survey. However, the team leader had additional roles, such as team coordinator and trouble-shooting. All teams were supervised by Mr Erasto Maziba, field supervisor, and either Mr Dennis Massue or Ms Zawadi Mageni, who are PhD candidates at NIMR and IHI respectively. They acted as the main supervisors and spot-checked the field teams as well as supported them during problems. All field enumerators, team leaders and supervisors were trained during 4 days in Bagamoyo prior to the commencment of field work. There was also a debrief meeting of half a day after the first district (Bagamoyo). There was continuous communication between the co-PIs of the grant and the people in the field during data collection.
Data editing took place at a number of stages throughout the processing, including:
a) Structure checking and completeness
b) Secondary editing
c) Structural checking of STATA data files
Detailed documentation of the editing of data can be received from Lena Lorenz, the contact person and data manager.
Ifakara Health Institute
Ifakara Health Institute
http://data.ihi.or.tz/index.php/catalog/4
Cost: None
Name | Affiliation |
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Lena Lorenz | London School of Hygiene & Tropical Medicine |
Name | Affiliation | |
---|---|---|
Data Unit | Ifakara Health Institute | dc@ihi.or.tz |
Licensed data set - accessible under conditions
Available only to lincesed people.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Ifakara Health Institute
Name | Affiliation | |
---|---|---|
Lorenz, Lena [Study coordinator & data manager] | London School of Hygiene & Tropical Medicine | lena.m.lorenz@gmail.com |
Moore, Jason [Study logistician] | Ifakara Health Institute (Bagamoyo) | jmoore@ihi.or.tz |
DDI_TZA_2013_RHS_v01_M
Name | Affiliation | Role |
---|---|---|
Lena Lorenz | London School of Hygiene & Tropical Medicine | Production of the datasets |
Juan Manuel Blanco | Ifakara Health Institute | Documentation of the DDI |
2014-05
Version 02 (January 2015). Edited version based on Version 01 DDI (DDI_IHI_ENVO_ABCDR_201405_v07) that was done by Ifakara Health Institute.