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...

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Main Authors: Markus Enenkel, Linda See, Mathias Karner, Mònica Álvarez, Edith Rogenhofer, Carme Baraldès-Vallverdú, Candela Lanusse, Núria Salse
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0142030
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spelling doaj-f4208ecd67e644a3a64f7dd3d0848b202021-03-03T19:57:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011011e014203010.1371/journal.pone.0142030Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.Markus EnenkelLinda SeeMathias KarnerMònica ÁlvarezEdith RogenhoferCarme Baraldès-VallverdúCandela LanusseNúria SalseThe 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.https://doi.org/10.1371/journal.pone.0142030
collection DOAJ
language English
format Article
sources DOAJ
author Markus Enenkel
Linda See
Mathias Karner
Mònica Álvarez
Edith Rogenhofer
Carme Baraldès-Vallverdú
Candela Lanusse
Núria Salse
spellingShingle Markus Enenkel
Linda See
Mathias Karner
Mònica Álvarez
Edith Rogenhofer
Carme Baraldès-Vallverdú
Candela Lanusse
Núria Salse
Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.
PLoS ONE
author_facet Markus Enenkel
Linda See
Mathias Karner
Mònica Álvarez
Edith Rogenhofer
Carme Baraldès-Vallverdú
Candela Lanusse
Núria Salse
author_sort Markus Enenkel
title Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.
title_short Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.
title_full Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.
title_fullStr Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.
title_full_unstemmed Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic.
title_sort food security monitoring via mobile data collection and remote sensing: results from the central african republic.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description 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.
url https://doi.org/10.1371/journal.pone.0142030
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