ERI_2009_IRSIES_v01_M
Indoor Residual Spraying (IRS) Impact Evaluation Survey 2009
Name | Country code |
---|---|
Eritrea | ERI |
Other Household Health Survey [hh/hea]
Baseline Data (Round 1)
Sample survey data [ssd]
Household, Individual
v1.1: Edited Data
2010-01-27
Some of the themes covered by the survey include:
Topic | Vocabulary | URI |
---|---|---|
consumption/consumer behaviour [1.1] | CESSDA | http://www.nesstar.org/rdf/common |
basic skills education [6.1] | CESSDA | http://www.nesstar.org/rdf/common |
housing [10.1] | CESSDA | http://www.nesstar.org/rdf/common |
general health [8.4] | CESSDA | http://www.nesstar.org/rdf/common |
specific diseases and medical conditions [8.9] | CESSDA | http://www.nesstar.org/rdf/common |
The sample covers 150 villages in the Gash Barka region that were randomly assigned to treatement and control groups.
The survey covered all household members (usual residents).
Name |
---|
Arianna Legovini, The World Bank and Pedro Carneiro, University College London (UCL) |
National Malaria Control Program, Government of Eritrea |
Name | Role |
---|---|
Orotta School of Medicine | Data collection |
The World Bank | Technical assistance |
Ministry of Health | Liaison |
Sampling design
A two-stage cluster design will be used to generate a probability sample of households within the study area for each of the survey domains (control versus intervention groups). Detailed sampling frames consisting of a count of all households within primary sampling unit (PSU - village) are currently available from the NMCP. PSUs will consist of villages within the study area of Gash Barka, divided into intervention and control villages. To maximize sampling efficiency, 58 PSUs will be selected for each survey domain at the first stage, with 15 households selected from each PSU at the second stage, thereby obtaining a total sample size of 1,740 houses (after adding non-response, the total number of houses is equal to 1,914). The list of eligible PSUs for the study was provided by the NMCP. All households within each selected PSU will be enumerated by the Orotta School of Medicine to create the second stage sampling frames for households. Enumeration of households within each PSU will also allow data to be weighted during analysis if needed. For the second stage, 17 households (ultimate sampling units) will be systematically (systematic random sampling) selected within each enumerated PSU. Data will then be collected at the household level. Survey fieldwork will be conducted just following/during the rainy season in September, 2009.
Sample Size and Power Calculations
A sample size of 870 households in the treatment group (58 villages, 15 households per village) and the same number in the control group will allow the detection (at a 5% level of significance) of a reduction of 10.47% points in malaria parasite prevalence from a baseline of about 15-20% with 80% power. This assumes that the intra-cluster correlation is 0.2. The total sample size is 1,740 households. Adding 10% to account for non-response yields a total sample size of 1,914 houses. Given that there are approximately 4.5 individuals per household, the total sample of individuals will be 8,613.
A household questionnaire for the IRS Impact Evaluation Survey was administered in each household, which collected various information on household members including sex, age, relationship, marital status, health condition, education level and employment status. The household questionnaire includes housing, mosquito avoidance practices, malaria knowledge, fever and cosumption.
The questionnaire is provided as external resources.
Start | End |
---|---|
2009-10 | 2009-10 |
Name |
---|
Orotta School of Medicine |
Arriana Legovini and Pedro Carneiro. Indoor Residual Spraying (IRS) Impact Evaluation Survey 2009. Ref. ERI_2009_IRSIES_v01_M. Dataset downloaded from <www.microdata.worldbank.org> on [date].
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.
c2010, The World Bank
Name | Affiliation |
---|---|
Edit Velenyi | The World Bank |
DDI_ERI_2009_IRSIES_v01_M
Name | Affiliation | Role |
---|---|---|
Akiko Sagesaka | The World Bank | Documentation of study |
Johan A. Mistiaen | The World Bank | Documentation of study |
2011-03-17
Version 1.1 (March 2011). With revisions based on Impact Evaluation Microdata Catalogue Template v1.1 (EN).
Version 1.0 (September 2010). Original DDI document.