Alternative Sampling Designs for Emergency Settings
The Food and Nutrition Technical Assistance II Project (FANTA-2) has recently released new guidance material on survey sampling in emergencies. 'Alternative Sampling Designs for Emergency Settings: A Guide for Survey Planning, Data Collection and Analysis' is the result of a 5 year body of work in response to an expressed need for alternative sampling designs to be conducted in resource-limited, time-sensitive, insecure, and emergency settings.
The most common survey method used in emergencies is a two-stage 30x30 cluster survey. This method provides reliable population- level estimates of malnutrition prevalence, but is time and resource intensive. The guide provides information on three alternative sampling designs that are proven to be more time and resource efficient than the 30x30 cluster survey: the 33x6, the 67x3 and the sequential design. All three designs are hybrid designs, combining aspects of cluster sampling and analysis, with lot quality assurance sampling (LQAS) analysis.
The three designs were developed to provide reliable methods for rapid assessment of the prevalence of acute malnutrition and useful measures of secondary indicators relevant to needs assessment and response planning, including child and household level indicators such as morbidity prevalence, vaccination coverage, household food security, and access to water and sanitation.
As of 2008, the designs are sufficiently validated for wide-scale adoption by government and humanitarian agencies, so that real data collection needs can be met in a time and cost efficient manner.
This Guide provides instruction for the planning, implementation, and analysis of data collected. It is organised into five sections with several appendices included for technical reference. It includes guidance to identify which sampling design may be most appropriate to use given the objectives of the survey and the geographic characteristics of the area to be assessed. It concludes with a look at evolving areas of work that require further development before they could be considered fully validated.
The development, testing and validation of the three alternative sampling designs was completed by FANTA-2 with Catholic Relief Services, Ohio State University, Save the Children US and a team of statistical experts at Harvard School of Public Health.
The guide can be downloaded at FANTA-2's website http://www.fanta-2.org
More like this
en-net: Cluster Designs to Assess the Prevalence of Acute Malnutrition by Lot Quality Assurance Sampling: A Validation Study by Computer Simulation
The Food and Nutrition Technical Assistance Project II (FANTA-2) would like to announce the release of "Cluster Designs to Assess the Prevalence of Acute Malnutrition by Lot...
FEX: Piloting LQAS in Somaliland
By Tom Oguta, Grainne Moloney and Louise Masese Tom Oguta has been working with FAO/FSAU in the Nutrition Surveillance Project in Somalia as a Nutrition Project Officer for...
en-net: Quick and (not) dirty
What would be the most adequate and practical rapid nutrition assessment tool to be carried out in a huge emergency e.g. Pakistan floods if circumstances and time do not allow...
FEX: Field testing LQAS to assess acute malnutrition prevalence
Summary of published research1 In emergency settings, the prevalence of global acute malnutrition (GAM) needs to be assessed quickly, accurately and often repeatedly, to...
en-net: Nutrition assessment in small pieces livelihood zones
Unfortunately, our nutrition program fall under three livelihood area. The total program catchment population is about 120,000. The proportion of population in the three...
FEX: Comparison of LQAS and 30-by-30 two-stage cluster sampled survey method for the assessment of coverage indicators
By Asrat Dibaba, Charles Chimombo, Ari Uotila, Whitney King and Mark Myatt Asrat Dibaba is the Maternal, Newborn and Child Health Advisor for World Vision East Africa Region...
FEX: A method for estimating mortality rates using previous birth history
By Mark Myatt, Anna Taylor and W. Courtland Robinson Mark Myatt is a consultant epidemiologist and senior fellow at University College London. His areas of expertise include...
FEX: Applying GIS to Nutrition Surveys
By Filippo Dibari, Andrew Seal and Paolo Paron Filippo Dibari is a Food Technologist with long term community based experience in developing countries and consultancies with...
en-net: SMART survey consultancy S Sudan (Juba) with Concern Worldwide
Concern Worldwide, South Sudan TOR for a Consultant to conduct a SMART Nutrition Survey in Juba POC Kator Payam, Central Equatoria State, South Sudan June...
FEX: The Pakistan Earthquake Survey: Methodological Lessons Learned
By Leah Richardson, Moazzem Hossain and Kevin Sullivan Acknowledgements go out to the survey teams as well as to those responsible for the close partnership between UNICEF,...
FEX: New method for assessing acute malnutrition in nomadic pastoralist populations
By Anne-Marie Mayer, Mark Myatt, Myriam Ait Aissa and Nuria Salse Anne-Marie Mayer is a technical consultant for this project and carried out the first field test in Mali with...
FEX: Interpreting results of field surveys using probability calculators
By Oleg O Bilukha and Curtis Blanton Dr. Oleg Bilukha is a Medical Epidemiologist with the International Emergency and Refugee Health Branch (IERHB), Centers for Disease...
FEX: International Medical Corps strengthens nutrition alert and surveillance systems in South Sudan
View this article as a pdf Lisez cet article en français ici By Muhammad Ali Jatoi, Deepak Kumar, Dugsiye Ahmed and Iris Bollemeijer Muhammad Ali Jatoi is the Senior...
FEX: Calculating wasting caseloads and geographic prioritisation of nutrition services in the context of limited data in Afghanistan
View this article as a pdf By Beka Teshome Bongassie, Said M Yaqoob Azimi and Maureen L. Gallagher Beka Teshome is Nutrition Cluster co-lead for Afghanistan with Action...
en-net: Stratified cluster survey with 5 stratum Vs. 5 independant surveys
I need to get GAM estimates for a state and 5 counties within the state in South Sudan. I am planning to conduct 5 independent surveys (1 per county) and combine the results...
en-net: SMART survey consultancy S Sudan (Unity State) with Concern Worldwide
Concern Worldwide, South Sudan TOR for a Consultant to conduct a SMART Nutrition Survey in Bentiu POC (Rubkona County) Unity State, South Sudan July 2015 Background Concern...
FEX: Nutrition surveillance in emergency contexts: South Sudan case study
By Alina Michalska, Eva Leidman, Suzanne Fuhrman, Louise Mwirigi, Oleg Bilukha, and Cecile Basquin Alina Michalska is the SMART Programme Manager at Action Contre la Faim...
en-net: Sample size determination
Hi there, I am planning a nutrition survey in an area where previous estimates indicated 45% stunting prevalence. I would like to cover the entire district so I am not using...
en-net: Sample size for KAP survey
We are planning a KAP baseline survey which will be followed by an endline KAP survey. When calculating the sample size, should I use the following formula? n = D [(Z? + Z?)2...
en-net: Nutrition survey analysis- Associations
I want to analyze associations between wasting and (morbidity, sex and age groups.... etc) in a nutrition survey - 30X24 two stage cluster sampling. I have tried different...
Reference this page
Alternative Sampling Designs for Emergency Settings. Field Exchange 37, November 2009. p23. www.ennonline.net/fex/37/alternative
(ENN_3981)