Mobile Vulnerability Analysis and Mapping (mvam) in West Africa: 2017

Transcription

1 Mobile Vulnerability Analysis and Mapping (mvam) in West Africa: 2017 Mali Niger Household Food Security Nutrition pilot Beneficiary Feedback line Chad Household Food Security Traders Surveys Household Food Security Traders Surveys Post-Distribution Monitoring Beneficiary Feedback line (planned) The Gambia Household Food Security pilot Guinea Household Food Security (planned) C.A.R Key Informants Surveys Modalities CATI SMS IVR Free Basics Nigeria Household Food Security Traders/Key Informants Surveys Beneficiary Feedback line Markets and Prices information with Free Basics (planned)

2 Why mvam CATI in Nigeria? Little access in 2016 Very few staff on ground Need for frequent and rapid food security information

3 mvam CATI in Nigeria Geopoll/TNS provided polling services from call-center in Lagos Phone numbers for traders were collected from face to face surveys, household phone numbers were randomly selected from database of mobile users. Questionnaire included: households socio-demographic, food consumption, reduced coping strategies, prices and open questions on food security; traders prices, availability and accessibility

4 Traders Surveys In June and July 2016, WFP Nigeria initiated live calls to 490 traders across Adamawa, Borno and Yobe States to monitor the functionality of markets and gather prices of food commodities ( In December 2016, WFP contacted these traders again to ask the same questions and successfully reached 416, some 85 percent of those originally surveyed. To assess changes in market conditions (availability, activity level, prices), WFP recontacted the same 490 traders reached during the previous round (June/July 2016) and successfully interviewed 378 people (representing 77 percent of the original sample).

5 Key Informants The information presented in this report comes from two rounds of data collection (June/July and July/August) from 64 key informants 10 newly accessible areas of Borno state (Askira/Uba, Bama, Kukawa, Dikwa, Damboa, Gwoza, Kaga, Monguno, Ngala, Nganzai). Results indicate that while a large majority of markets surveyed are accessible and activity, access and availability increased from June/July to August, prices have increased without corresponding improvements in wages. Additionally, traders report deteriorating food security and market conditions due to high food prices, restricted movement, lack of capital, security concerns and lack of farming activities.

6 mvam round 1 3: January - March 2016

7 mvam round 4,5,6: mvam 6000

8 Lessons Learned Efforts should be made to reach the same individual in the household. Dialing from a base of mobile subscribers reaches mostly participants in urban capitals and does not generate representative sample of population but can still be used for trends. Contacting phone numbers collected via traditional food security assessments allows us to build trust with participants, better generate a representative sample and measure/correct bias.

9 Future Rounds of mvam in Nigeria Follow up from sample frame generated from October 2017 and February 2018 EFSA to collect data in April/May and July/August Create strata for State, displaced persons and a few hotspot LGAs Follow exact questionnaire from EFSA and tailor questions to operation/programmatic needs Move call-center to Abuja

10 FAQ: Biases of phone ownership/consent

11 Geographic Bias Nigeria phone & consent

12 Geographic Bias Nigeria No phone & no consent

13 Geographic Bias Niger Phone & consent

14 Geographic Bias Niger No phone & consent

15 FAQ: non-response bias We usually see that younger, better off men in urban areas are more likely to respond (pick up the telephone) We can correct for this using post-survey weights

16 FAQ: different answers over the phone Mode Experiment: Kenya POPULATION ABOVE AND BELOW THE THRESHOLD BY MODE CATI N (%) F2F N (%) Differences (CATI F2F) Agreement (%) MDD-W 208 (26.4%) 196 (24.9%) 2% 74.4% 0.44 MDD 225 (38.9%) 122 (21.1%) 18% 67% < MMF 409 (70.8%) 338 (58.5%) 12% 65.5% < P MAD 171 (29.6%) 71 (12.3%) 17% 72% < % higher prevalence of MAD using CATI vs F2F

17 FAQ: Appendix different answers over Mode the bias in phone Mali Experiment (paired sample) Mode Experiment: Mali Paired FCS distribution Mean mvam: Mean ENSAN: No Significant difference (paired ttest p-value= 0.25) FCS 50 mvam F2F_phone_mVAM

18 FAQ: data security/sensitivity with phone numbers Respondents are explained conditions of survey, how their information will be used and that their PII will be kept securetly before asking consent. Phone numbers and PII are kept securely and always delinked before disseminating.

19 Questions? vam.wfp.org/sites/mvam_monitoring/nigeria.html