Analysis of Household Food Security in Selected Districts of Madagascar
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Drivers of Rift Valley Fever Epidemics in Madagascar
Drivers of Rift Valley fever epidemics in Madagascar Renaud Lancelota,b,1, Marina Beral´ b,c,d, Vincent Michel Rakotoharinomee, Soa-Fy Andriamandimbyf, Jean-Michel Heraud´ f, Caroline Costea,b, Andrea Apollonia,b,Cecile´ Squarzoni-Diawg, Stephane´ de La Rocquea,b,h,i, Pierre B. H. Formentyj,Jer´ emy´ Bouyera,b, G. R. William Wintk, and Eric Cardinaleb,c,d aFrench Agricultural Research and International Cooperation Organization for Development (Cirad), Department of Biological Systems (Bios), UMR Animals, Health, Territories, Risks, and Ecosystems (Astre), Campus International de Baillarguet, 34398 Montpellier, France; bFrench National Agricultural Research Center for International Development, Animal Health Department, UMR Astre, Campus International de Baillarguet, 34398 Montpellier, France; cCirad, Bios Department, UMR Astre, 97490 Sainte Clotilde, La Reunion,´ France; dCentre de Recherche et de Veille sur les Maladies Emergentes´ de l’Ocean´ Indien, 97490 Sainte Clotilde, La Reunion,´ France; eMinistere` de l’Agriculture, de l’Elevage et de la Peche,ˆ Direction des Services Vet´ erinaires,´ Ambatofotsikely, BP 530 Antananarivo 101, Madagascar; fUnite´ de Virologie, Institut Pasteur de Madagascar, BP 1274 Antananarivo 101, Madagascar; gAnimal Production and Health Division, Food and Agriculture Organization of the United Nations, 00153 Rome, Italy; hWorld Organization for Animal Health, 75017 Paris, France; iInternational Health Regulations Monitoring Procedure and Information Team, Global Capacity and Response Department, World Health Organization (WHO), 1211 Geneva 27, Switzerland; jEmerging and Epidemic Zoonotic Diseases, Pandemic and Epidemic Disease Department, WHO, Geneva 27, Switzerland; and kDepartment of Zoology, Environmental Research Group Oxford, Oxford OX1 3PS, United Kingdom Edited by Burton H. Singer, University of Florida, Gainesville, FL, and approved December 8, 2016 (received for review May 18, 2016) Rift Valley fever (RVF) is a vector-borne viral disease widespread the slaughtering of viremic animals (11): Blood aerosol produced in Africa. -
Liste Candidatures Conseillers Alaotra Mangoro
NOMBRE DISTRICT COMMUNE ENTITE NOM ET PRENOM(S) CANDIDATS CANDIDATS AMBATONDRAZAKA AMBANDRIKA 1 RTM (Refondation Totale De Madagascar) RAKOTOZAFY Jean Marie Réné AMBATONDRAZAKA AMBANDRIKA 1 MMM (Malagasy Miara-Miainga) ARIMAHANDRIZOA Raherinantenaina INDEPENDANT RANAIVOARISON HERINJIVA AMBATONDRAZAKA AMBANDRIKA 1 RANAIVOARISON Herinjiva (Ranaivoarison Herinjiva) AMBATONDRAZAKA AMBANDRIKA 1 IRD (Isika Rehetra Miaraka @ Andry Rajoelina) RANDRIARISON Célestin AMBATONDRAZAKA AMBATONDRAZAKA 1 TIM (Tiako I Madagasikara) RANDRIAMANARINA - INDEPENDANT RAZAKAMAMONJY HAJASOA AMBATONDRAZAKA AMBATONDRAZAKA 1 RAZAKAMAMONJY Hajasoa Mazarin MAZARIN (Razakamamonjy Hajasoa Mazarin) INDEPENDANT RAHARIJAONA ROJO AMBATONDRAZAKA AMBATONDRAZAKA 1 RAHARIJAONA Rojo (Raharijaona Rojo) AMBATONDRAZAKA AMBATONDRAZAKA 1 IRD (Isika Rehetra Miaraka @ Andry Rajoelina) RATIANARIVO Jean Cyprien Roger AMBATONDRAZAKA AMBATONDRAZAKA 1 IRD (Isika Rehetra Miaraka @ Andry Rajoelina) RABEVASON Hajatiana Thierry Germain SUBURBAINE AMBATONDRAZAKA INDEPENDANT RANDRIANASOLO ROLLAND AMBATONDRAZAKA 1 RANDRIANASOLO Rolland SUBURBAINE (Randrianasolo Rolland) AMBATONDRAZAKA AMBATONDRAZAKA 1 MMM (Malagasy Miara-Miainga) RAKOTONDRASOA Emile SUBURBAINE AMBATONDRAZAKA AMBATONDRAZAKA 1 TIM (Tiako I Madagasikara) RANJAKASOA Albert SUBURBAINE INDEPENDANT RANDRIAMAHAZO FIDISOA AMBATONDRAZAKA AMBATOSORATRA 1 HERINIAINA (Randriamahazo Fidisoa RANDRIAMAHAZO Fidisoa Heriniaina Heriniaina) AMBATONDRAZAKA AMBATOSORATRA 1 IRD (Isika Rehetra Miaraka @ Andry Rajoelina) RANDRIANANTOANDRO Gérard AMBATONDRAZAKA -
Chapitre 3 Conditions Socio-Economiques Et Problematique De La Zone D’Etude
CHAPITRE 3 CONDITIONS SOCIO-ECONOMIQUES ET PROBLEMATIQUE DE LA ZONE D’ETUDE 3.1 Conditions socio-économiques actuelles 3.1.1 Système administratif, zone de démarcation et population La zone de l’étude, à savoir les 2 districts, 9 communes et 52 villages, comme indiqué dans le tableau suivant, est administrativement sous la juridiction de la région d’Alaotra-Mangoro. Géographiquemnt, la zone de l’étude comprend le bassin versant de la rivière Sahabe, lesbassin versant de la rivière Sahamilahy, les bassins de 4 petits et moyens cours d’eau, et la zone du PC 23. La délimitation administrative est illustrée à la Fig. 3.1. Tableau 3.1.1 Unités et zones administratives dans la zone de l’étude Nombre Région District Commune de Zone villages Ampasikely 4 4 petits et moyens bassins fluviaux Andrebakely 6 4 petits et moyens bassins Sud fluviaux 4 petits et moyens bassins Ambatomainty 9 Amparafaravola fluviaux, zone du PC 23 Bassin de la rivière Sahamilahy, Alaotra- Morarano bassin de la rivière Sahabe, 4 27 Mangoro Chrome petits et moyens bassins fluviaux, zone du PC23 Ranomanity 6 Bassin de la rivière Sahabe Bejofo 2 Bassin de la rivière Sahabe Soalazaina 5 Bassin de la rivière Sahabe Ambatondrazaka Tanambao 6 Bassin de la rivière Sahabe Besakay Andilanatoby 6 Bassin de la rivière Sahabe Source: Bureau regional d’Alaotra-Mangoro D’après une étude supplémentaire par le biais d’interviews menée en 2006, le total de la population dans tous les villages de la zone de l’étude est de 118.194 personnes, le nombre de foyers de 20.631, et la taille d’une famille moyenne de 5,7 personnes. -
Mdg-Summary.Pdf
HungerMapLIVE: Madagascar insight and key trends By the World Food Programme (WFP) | 27 August 2021 FOOD INSECURITY AT A GLANCE 5.5M 26.3M 1.1M Chronic hunger Population Acute hunger (undernourishment) (INSTAT Census 2018 with a IPC Phase 3+ 2.46% growth rate, 2020) (SOFI Report, 2021)1 (IPC, Apr 2021 - Sep 2021)2 The HungerMapLIVE tracks core indicators of acute hunger in near real-time. Acute hunger is measured by key indicators such as household food consumption, livelihood behaviors, child nutritional status, mortality, access to clean drinking water and other contextual factors. The HungerMapLIVE primarily tracks trends on household food consumption, consumption-based coping and livelihood changes to track multiple aspects of food insecurity. As these are outcome level 1 indicators in the Integrated Food Security Phase Classication (IPC) Framework, they can provide early indications of potential shifts in acute food insecurity. Insucient food consumption (HungerMapLIVE data)3 7.0M → 6.7M As of 29 May 2021 As of 27 August 2021 Crisis or above crisis level food-based coping strategies (HungerMapLIVE data)3 10.9M → 13.1M As of 29 May 2021 As of 27 August 2021 Methodology Note: The HungerMapLIVE includes data from two sources: (1) WFP’s continuous, near real-time monitoring systems, which remotely collect thousands of data daily through live calls conducted by call centres around the world; and (2) machine learning-based predictive models. Therefore, to note this dierentiation, this report indicates whether a region’s data is based on WFP’s near real-time monitoring systems (marked ‘ACTUAL’) or predictive models (marked ‘PREDICTED’). -
Rano HP Et Ranon'ala
EVALUATION OF THE USAID/MADAGASCAR WATER SUPPLY, SANITATION AND HYGIENE BILATERAL PROJECTS: RANO HP ET RANON’ALA September 2014 This publication was produced at the request of the United States Agency for International Development. It was prepared independently by CAETIC Développement ACKNOWLEDGEMENTS The authors would like to acknowledge Jean-Claude RANDRIANARISOA, COR, for his constant guidance during this whole assignment. Discussions and exchanges we had with him were always fruitful and encouraging and of a high technical level. This document could not have reached this level of quality without the invaluable inputs from Jacky Ralaiarivony and from USAID Madagascar Program Office staff, namely Vololontsoa Raharimalala. The authors: Balsama ANDRIANTSEHENO Jean Marie RAKOTOVAO Ramy RAZAFINDRALAMBO Jean Herivelo RAKOTONDRAINIBE FINAL EVALUATION OF USAID/MADAGASCAR WSSH PROJECTS: EVALUATION OF THE USAID/MADAGASCAR WATER SUPPLY, SANITATION AND HYGIENE BILATERAL PROJECTS: RANO HP ET RANON’ALA SEPTEMBER 9, 2014 CONTRACT N° AID-687-C-13-00004 DISCLAIMER The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. CONTENTS ...................................................................................................................................................................... 1 LIST OF ACRONYMS ................................................................................................................................... -
Cyclone Enawo MADAGASCAR
Madagascar: Cyclone Enawo Situation Report No. 2 12 March 2017 This report is issued by the Bureau National de Gestion des Risques et des Catastrophes (BNGRC) and the Humanitarian Country Team in Madagascar. It covers the period from 9 to 12 March. The next report will be issued on or around 14 March 2017. Highlights • The remnants of Intense Tropical Cyclone Enawo exited Madagascar on the morning of Friday 10 March 2017. The storm traversed nearly the length of the island over two days, affecting communities from north to south across Madagascar’s eastern and central regions. • Wind damage and widespread flooding in cyclone- affected parts of the north-east, and heavy rains and widespread flooding in eastern, central and south- eastern parts of the country has been recorded. • Favourable weather conditions since 10 March have permitted national authorities and humanitarian partners to initiate rapid assessments in north- eastern, eastern and south-eastern parts of the country. • Initial humanitarian impacts in the areas of Water, Sanitation and Hygiene (WASH), Shelter, Health, Food Security, Protection and Education, as well as Logistics have been identified. • Field coordination hubs are being jointly reinforced by national authorities and humanitarian partners in Maroantsetra and Antalaha. 295,950 84,660 83,100 58 Affected people Displaced people Damaged houses Affected districts Source: Bureau National de Gestion des Risques et des Catastrophes (BNGRC) de Madagascar, 12 March 2017 Situation Overview Intense Tropical Cyclone Enawo made landfall in north-eastern Madagascar’s Sava region on 7 March and then moved southward in an arc across central and south-eastern parts of the country as a tropical depression before exiting the country on the morning of 10 March. -
Madagascar Insight and Key Trends by the World Food Programme (WFP) | 26 August 2021
HungerMapLIVE: Madagascar insight and key trends By the World Food Programme (WFP) | 26 August 2021 FOOD INSECURITY AT A GLANCE 5.5M 26.3M 1.1M Chronic hunger Population Acute hunger (undernourishment) (INSTAT Census 2018 with a IPC Phase 3+ 2.46% growth rate, 2020) (SOFI Report, 2021)1 (IPC, Apr 2021 - Sep 2021)2 The HungerMapLIVE tracks core indicators of acute hunger in near real-time. Acute hunger is measured by key indicators such as household food consumption, livelihood behaviors, child nutritional status, mortality, access to clean drinking water and other contextual factors. The HungerMapLIVE primarily tracks trends on household food consumption, consumption-based coping and livelihood changes to track multiple aspects of food insecurity. As these are outcome level 1 indicators in the Integrated Food Security Phase Classication (IPC) Framework, they can provide early indications of potential shifts in acute food insecurity. Insucient food consumption (HungerMapLIVE data)3 7.0M → 6.7M As of 28 May 2021 As of 26 August 2021 Crisis or above crisis level food-based coping strategies (HungerMapLIVE data)3 10.9M → 13.0M As of 28 May 2021 As of 26 August 2021 Methodology Note: The HungerMapLIVE includes data from two sources: (1) WFP’s continuous, near real-time monitoring systems, which remotely collect thousands of data daily through live calls conducted by call centres around the world; and (2) machine learning-based predictive models. Therefore, to note this dierentiation, this report indicates whether a region’s data is based on WFP’s near real-time monitoring systems (marked ‘ACTUAL’) or predictive models (marked ‘PREDICTED’). -
Ecosystem Profile Madagascar and Indian
ECOSYSTEM PROFILE MADAGASCAR AND INDIAN OCEAN ISLANDS FINAL VERSION DECEMBER 2014 This version of the Ecosystem Profile, based on the draft approved by the Donor Council of CEPF was finalized in December 2014 to include clearer maps and correct minor errors in Chapter 12 and Annexes Page i Prepared by: Conservation International - Madagascar Under the supervision of: Pierre Carret (CEPF) With technical support from: Moore Center for Science and Oceans - Conservation International Missouri Botanical Garden And support from the Regional Advisory Committee Léon Rajaobelina, Conservation International - Madagascar Richard Hughes, WWF – Western Indian Ocean Edmond Roger, Université d‘Antananarivo, Département de Biologie et Ecologie Végétales Christopher Holmes, WCS – Wildlife Conservation Society Steve Goodman, Vahatra Will Turner, Moore Center for Science and Oceans, Conservation International Ali Mohamed Soilihi, Point focal du FEM, Comores Xavier Luc Duval, Point focal du FEM, Maurice Maurice Loustau-Lalanne, Point focal du FEM, Seychelles Edmée Ralalaharisoa, Point focal du FEM, Madagascar Vikash Tatayah, Mauritian Wildlife Foundation Nirmal Jivan Shah, Nature Seychelles Andry Ralamboson Andriamanga, Alliance Voahary Gasy Idaroussi Hamadi, CNDD- Comores Luc Gigord - Conservatoire botanique du Mascarin, Réunion Claude-Anne Gauthier, Muséum National d‘Histoire Naturelle, Paris Jean-Paul Gaudechoux, Commission de l‘Océan Indien Drafted by the Ecosystem Profiling Team: Pierre Carret (CEPF) Harison Rabarison, Nirhy Rabibisoa, Setra Andriamanaitra, -
Usaid Office of Food for Peace Food Security Country Framework for Madagascar Fy 2014–Fy 2019
USAID OFFICE OF FOOD FOR PEACE USAID OFFICE OF FOOD FOR PEACE FOOD SECURITY COUNTRY FRAMEWORK FOR MADAGASCAR FY 2014–FY 2019 SEPTEMBER 2013 This report is made possible by the generous support of the American people through the support of the Office of Food for Peace, Bureau for Democracy, Conflict and Humanitarian Assistance, and the Office of Health, Infectious Diseases, and Nutrition, Bureau for Global Health, U.S. Agency for International Development (USAID), under terms of Cooperative Agreement No. No. AID-OAA-A-12-00005, through the Food and Nutrition Technical Assistance III Project (FANTA), managed by FHI 360. The contents are the responsibility of FHI 360 and do not necessarily reflect the views of USAID or the United States Government. Recommended citation: Mathys, Ellen and Maalouf-Manasseh, Zeina. 2013 USAID Office of Food For Peace FANTA III Food Security Country Framework for Madagascar (FY 2014–FY 2019). Washington, D.C.: FHI 360/FANTA. FOOD AND NUTRITION TECHNICAL A SSISTANCE Food and Nutrition Technical Assistance III Project (FANTA) FHI 360 1825 Connecticut Avenue, NW Washington, DC 20009-5721 T 202-884-8000 F 202-884-8432 [email protected] www.fantaproject.org Contents Acronyms and Abbreviations ..................................................................................................................... i Executive Summary ................................................................................................................................... iii 1. Introduction ........................................................................................................................................ -
Madagascar Country Office Covid-19 Response
COVID-19 Situation Report, Madagascar | July 29th, 2020 Madagascar Country Office Covid-19 response July 29th 2020 Situation in Numbers 10432 cases across 19 regions 93 deaths 101 RECOVERED July 29th 2020 Highlights Funding status th th From May 17 to July 29 2020, the positive COVID-19 cases growth curve fund decupled exponentially from 304 to 10,432 cases with 0.89% of fatality rate received in 19 out of 22 affected regions (all except Androy, Atsimo Atsinanana and $1.19 Melaky). funding gap The epicenter remains the capital Antananarivo with very high community $3.45 transmission. The hospitalization capacity was reached in central hospitals which led to care decentralization for asymptomatic and pauci- symptomatic patients whilst hospitalization is offered in priority for carry forward moderate, severe and critical patients. $2.35 UNICEF supports moderate, severe and critical patients’ care by supplying oxygen (O2) to central hospitals, helping saving lives of most severe patients. Thus far, 240,000 families have received a cash transfer of 100,000 Ariary (26 USD) to meet their basic needs. In collaboration with the Government and through the Cash Working Group, UNICEF coordinates the second wave of emergency social assistance in the most affected urban and peri- urban areas. However, UNICEF’s appeal for emergency social protection support, remains unfunded. Around 300,000 children received self-study booklets while distribution to another 300,000 children is being organized. UNICEF is monitoring the promoted health measures to be put in place prior the tentative examination dates for grade, 7, 3 and Terminal. Funding 600,000 Overview people in most affected cities benefitted from a subsidized access to water, via Avo-Traina programme while more than 20,000 taxi were disinfected and supported with hydroalcoholic gel and masks in Antananarivo. -
Fill the Nutrient Gap Madagascar: Full Report
Fill the Nutrient Gap Madagascar: Full Report October 2016 Photo: WFP/Volana Rarivos World Food Programme Office National de Nutrition Fill the Nutrient Gap Madagascar Contents Acknowledgements ................................................................................................................................. 3 List of Acronyms ...................................................................................................................................... 4 Background ............................................................................................................................................. 5 Introduction ............................................................................................................................................ 9 The Process in Madagascar ................................................................................................................... 10 Malnutrition Characteristics ................................................................................................................. 11 Nutrition-related policies, programmes and regulatory framework .................................................... 22 Availability of Nutritious Foods ............................................................................................................. 27 Access to Nutritious Foods.................................................................................................................... 32 Nutrient Intake ..................................................................................................................................... -
Surveillance and Data for Management (SDM) Project
Surveillance and Data for Management (SDM) Project Final Report Submission Date: May 8th, 2020 Revised document submission date: July 31st, 2020 Revised document submission date: December 15th, 2020 Grant No. AID-687-G-13-00003 Submitted by: Institut Pasteur de Madagascar (IPM) BP 1274 Ambatofotsikely, 101 Antananarivo, Madagascar Tel: +261 20 22 412 72 Email: [email protected] This document was produced for review by the Institut Pasteur de Madagascar. This report is made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of the Institut Pasteur de Madagascar and do not necessarily reflect the views of USAID or the United States Government. Surveillance and Data for Management (SDM) Project Page 1 of 68 Grant No. AID-687-G-13-00003 Institut Pasteur de Madagascar TABLE OF CONTENTS ACRONYMS AND ABBREVIATIONS 4 PROJECT OVERVIEW/SUMMARY 6 Introduction 7 WP1. MALARIA SURVEILLANCE AND CONTROL MEASURES 8 Subproject SP1: Fever sentinel surveIllance network 8 Subproject SP2: RDT qualIty assurance 10 Subproject SP3: Evaluative research of the fever surveIllance network system 11 Subproject SP4: Fever etiology assessment 12 Subproject SP5: Mathematical models of surveIllance data to detect epIdemIc thresholds 13 Subproject SP6: GIS technology to vIsualIze trends In malarIa IncIdence 15 Subproject SP7 GIS and vector control program to Identify prIorIty areas for Indoor resIdual sprayIng 16 Subproject SP8: AnophelIne mosquIto monItorIng In