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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 abou...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651491/ https://www.ncbi.nlm.nih.gov/pubmed/26581042 http://dx.doi.org/10.1371/journal.pone.0142030 |
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author | Enenkel, Markus See, Linda Karner, Mathias Álvarez, Mònica Rogenhofer, Edith Baraldès-Vallverdú, Carme Lanusse, Candela Salse, Núria |
author_facet | Enenkel, Markus See, Linda Karner, Mathias Álvarez, Mònica Rogenhofer, Edith Baraldès-Vallverdú, Carme Lanusse, Candela Salse, Núria |
author_sort | Enenkel, Markus |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4651491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46514912015-11-25 Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic Enenkel, Markus See, Linda Karner, Mathias Álvarez, Mònica Rogenhofer, Edith Baraldès-Vallverdú, Carme Lanusse, Candela Salse, Núria PLoS One Research Article 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. Public Library of Science 2015-11-18 /pmc/articles/PMC4651491/ /pubmed/26581042 http://dx.doi.org/10.1371/journal.pone.0142030 Text en © 2015 Enenkel et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Enenkel, Markus See, Linda Karner, Mathias Álvarez, Mònica Rogenhofer, Edith Baraldès-Vallverdú, Carme Lanusse, Candela Salse, Núria Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651491/ https://www.ncbi.nlm.nih.gov/pubmed/26581042 http://dx.doi.org/10.1371/journal.pone.0142030 |
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