Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.

The Central African Republic is one of the world's most vulnerable countries, suffering from chronic poverty, violent conflicts and weak disaster resilience. In collaboration with Doctors without Borders/Médecins Sans Frontières (MSF), this study presents a novel approach to collect information about socio-economic vulnerabilities related to malnutrition, access to resources and coping capacities. The first technical test was carried out in the North of the country (sub-prefecture Kabo) in May 2015. All activities were aimed at the investigation of technical feasibility, not at operational data collection, which requires a random sampling strategy. At the core of the study is an open-source Android application named SATIDA COLLECT that facilitates rapid and simple data collection. All assessments were carried out by local MSF staff after they had been trained for one day. Once a mobile network is available, all assessments can easily be uploaded to a database for further processing and trend analysis via MSF in-house software. On one hand, regularly updated food security assessments can complement traditional large-scale surveys, whose completion can take up to eight months. Ideally, this leads to a gain in time for disaster logistics. On the other hand, recording the location of every assessment via the smart phones' GPS receiver helps to analyze and display the coupling between drought risk and impacts over many years. Although the current situation in the Central African Republic is mostly related to violent conflict it is necessary to consider information about drought risk, because climatic shocks can further disrupt the already vulnerable system. SATIDA COLLECT can easily be adapted to local conditions or other applications, such as the evaluation of vaccination campaigns. Most importantly, it facilitates the standardized collection of information without pen and paper, as well as straightforward sharing of collected data with the MSF headquarters or other aid organizations.

Community-based management of severe acute malnutrition in India: new evidence from Bihar.

BACKGROUND: An estimated one-third of the world's children who are wasted live in India. In Bihar state, of children <5 y old, 27.1% are wasted and 8.3% have severe acute malnutrition (SAM). In 2009, Médecins Sans Frontières (MSF) initiated a community-based management of acute malnutrition (CMAM) program for children aged 6-59 mo with SAM. OBJECTIVE: In this report, we describe the characteristics and outcomes of 8274 children treated between February 2009 and September 2011. DESIGN: Between February 2009 and June 2010, the program admitted children with a weight-for-height z score (WHZ) <-3 SD and/or midupper arm circumference (MUAC) <110 mm and discharged those who reached a WHZ >-2 SDs and MUAC >110 mm. These variables changed in July 2010 to admission on the basis of an MUAC <115 mm and discharge at an MUAC ≥120 mm. Uncomplicated SAM cases were treated as outpatients in the community by using a WHO-standard, ready-to-use, therapeutic lipid-based paste produced in India; complicated cases were treated as inpatients by using F75/F100 WHO-standard milk until they could complete treatment in the community. RESULTS: A total of 8274 children were admitted including 5149 girls (62.2%), 6613 children aged 6-23 mo (79.9%), and 87.3% children who belonged to Scheduled Caste, Scheduled Tribe, or Other Backward Caste families or households. Of 3873 children admitted under the old criteria, 41 children (1.1%) died, 2069 children (53.4%) were discharged as cured, and 1485 children (38.3%) defaulted. Of 4401 children admitted under the new criteria, 36 children (0.8%) died, 2526 children (57.4%) were discharged as cured, and 1591 children (36.2%) defaulted. For children discharged as cured, the mean (±SD) weight gain and length of stay were 4.7 ± 3.1 and 5.1 ± 3.7 g · kg(-1) · d(-1) and 8.7 ± 6.1 and 7.3 ± 5.6 wk under the old and new criteria, respectively (P < 0.01). After adjustment, significant risk factors for default were as follows: no community referral for admission, more severe wasting on admission, younger age, and a long commute for treatment. CONCLUSIONS: To our knowledge, this is the first conventional CMAM program in India and has achieved low mortality and high cure rates in nondefaulting children. The new admission criteria lower the threshold for severity with the result that more children are included who are at lower risk of death and have a smaller WHZ deficit to correct than do children identified by the old criteria. This study was registered as a retrospective observational analysis of routine program data at http://www.isrctn.com as ISRCTN13980582.