FEWS Country Report MALI

Total Page:16

File Type:pdf, Size:1020Kb

FEWS Country Report MALI Report Number 15 September 1987 FEWS Country Report MALI Africa Bureau U.S. Agency for International Development I-'. O, Summary Map F Ni oro Hombor­ -K ta '.. ...t Keniba " Sa • KoutRainfall/ Through July 31: Bougouni u "- - o ala <R0% of 1951-80 averae * <80% of 1951--30 averae .* <00% of 1951-80 average Harvest prospects poor Vegetation '-onditions below historic (1981-66) minimum for three consecutive ten day periods Famine Early Warning System Country Report MALI Harvest Prospects Vary Regionally Prepared for the Africa Bureau of the U.S. Agency for International Development Prepared by Price, Williams & Associates, Inc. September 1987 Contents Page 1 Summar,, 2 Vegetation and Rainfall 5 Agriculture and Livestock 6 Nutrition 7 Grasshoppers List of Figures Page Inside Cover Figure 1 Summary Map 3 Figure 2 Recent Trend of Vegetation Conditions 4 Figure 3 Sea3onal Trends of Vegetation Conditions 8 Appendix I Administrative Units: Regions and Ccrcles SUMMARY While most crop producing regions in Mali give promise for a normal to good harvest, Mopti Region has very poor prospects. Satellite imageryl through September 11-20 suggests that vegetation continued to thrive throughout crop producing regions, with some exceptions. In Niono Cercle in Segou Region and the Cercles of Tenenkou, Mopti, Douentza, and Youvarou in Mopti Region, imagery indicates areas of -',egetativz vigor below the historic (1981-86) minimum (see Summary Map). In Mopti and Segou Regions, late and sporadic rainfall forced farmers in some areas to sow crops iate into the agricultural season, increasing the probability of poor yields2 . Rainfall through early October, while unlikely, would provide enough soil moisture for late sown crops to mature, but even then, yields are likely to be low. Vegetation conditions in Bandiagara Cercle (Mopti Region) have improved little from levels attained two months ago. Throughout Sikasso, Kayes, and Koulikoro Regions, imagery from September 11-20 indicates that vegetation is above the historic average. Nationa'ly, at least an average harvest is likely, provicIed that rains continue through late September. Indicators * In all markets where price data is available, grains were less expensive in Jily of 1987 than July of 1986, suggesting that current supplies are adequate and that harvest expectations are probably high. o Cver 100 families from Goundam and Niafunke Cercles (Tombouctou Region) were present in Niono Cercle (Segou Region) ini search of food, but this was the only report of unusual migration in the country. Issues * After reviewing food security assessments, the Systejcre d'Alerte Precoce (SAP) withdrew previous recommenda­ tions for food distribution to N'Gorkou (Niafunke I The Normalized Difference Vegetation Index (NDVI) is derived from NOAA AVHRR GAC data, which is a ten day average. The photosynthetic capacity, or vegetative vigor displayed by these images is generally believed to be indicative of the condition of vegetation on the ground, and, at least inferentially, of the growing conditions for crops and pastures. These relationships are, however, only indirect and still the subject of continuing research. 2 Late sown crops are generally low yieldinr, because: 1) the initial flush of nitrogen that is released with the firt rains is subsequently leached once the soil is saturated with rain water; 2) there is increased damage from insects which have multiplied on earlier sown crops; and 3) the probability of adequate rainfall for good crop development decreases as the season moves into mid-October. Cercle, Tombouctou Region) and Balle Arrondissements (Nara Cercle, Koulikoro Region), but continues to recommend food distribution to Sah Arrondissement (Youvarou Cercle, Mopti Region). VEGETATION AND Satellite imagery indicates that vegetative vigor RAINFALL improved, relative to the 1981-86 historic average, during the three ten day periods from August 11-20 to September 1-10, and declinea Fiightly during September 11-20 throughout most of Mrtli below 16°N 35' (see Figure 1). In Bafoulabe, Diema, and Kita Cercles (Kayes Region), vegetative vigor, which was average or below average August 11-20, was above the historic maximum by September 1-10, and only slightly below the maximum September 11-20 (see Figure 2). The same is true for most areas in Koulikoro Region -- exceptions being eastern Nara Cercle and a small area in southern Kati Cercle, where vegetation conditions were average. Although vegetative vigor throughout Segou Region rarely exceeded the historical maximum during the four decadal periods between August 11 and September 20, vegetation conditions improved in relation to the historic average in all Cercles, except Niono. Areas where vegetative vigor has remained at the 1981-86 historic minimum for four consecutive decades are now confined to Gao Region, Tombouctou Region above 160N 35', eastern Gourma-Rharous Cercle, and the border areas between both Tenenkou and Mopti Cercles (Mopti Region) and between Tenenkou and Niono Cercles (see Figure 1 and reference map -- Appendix 1). Harvest prospects in these areas are probably extremely poor. In Sikasso Region, seasonal trends suggest that the potential for crop development is good. Vegetative vigor has increased steadily since the beginning of the agricultural year (see seasonal trends of Bougouni and Yorosso Cercle in Figure 3)3. As of September 11-20, vegetation conditions in all Cercles in Sikasso Region were above average, with Sikasso, Bougouni, Kadiolo, Kolondieba, and Yanfolila Cercles at, or above, the historical maximum. In contrast to 5ikasso Region, seasonal trends of vegetative vigor in Mopti Region suggest that crops have been stressed. In Djenne Cercle, imagery indicates that vegetation conditions did not improve from June 11-20 to July 11-20. In Bandiagara, Douentza, and Mopti Cercles, vegetation conditions 3 The sharp decline between the second and third decades in July is probably the result of heavy cloud cover, and, therefore, would not reflect a decline in vegetative vigor. 2 Figure 2: MALI Recent Trend of M Better than Worse than Vegetation Conditions average average Comparisons to Historical Averages El Same as ! Clouds average August 10-21 August.. ..21-31 ... ..... .~~ .... :. :-"....-- .-. .-X ......... .. ... ...... j ­ = . -Jr. b~~ ~ ~ .. ...;"":... ~ ............ : ":ii!;:i~ii:::-: ' .'l .. i:-...".....: ::.- ..... :Ir[ : . .""I . " .............. .'.. .. ."... 1. ._-' • .. .: S e p. t... ".:e ' m" : b ::".e r.1.1 0.Septembe ..-- . ......: ,-."•:':.i':""....,:: i::'-::...... ...... ....,_9 ,-.., '....... : ............. ............ ... :iii!: ! :: '­ . .. .. .- .. .. - i , NP ;. ..- , . & : . - : : :: :: ::: : : : ...... -: -: ..-L. E. ..' . ! .... aw! ....~ ~ ~ ~ •.~ . ,,~ " ' .: , ul .. .... I ~ ~ ~ ~ ~ ~ ...... .: .......-..:: r.. :::::!: :...-.:j , .* ........ ............... -. .. ... .... " :::::::::::::::::: .':1. "......... ...... ...... ...............- ............. ::::..,~ ~ . ~-:,: ........... : .. ... :: - • ..: :....>~. .... ~ ~ ~ ~ .......-....... ...=..=..===.=====.......... ': .......... .... ..... L .. :!:il ii: :: iii !!i~iii~iii. ::: ... .............. ........ .... ......... .... ........... H .I*E,**. *:: :: .'!i: ' "':"'.....ii: .;.:i'i !:... ..... ... ... .... , ::: :: ::: : : :: : : : :::: : :: : .. ........ .............. ......... !iiiii~ii.......... ".-. i!! ;. .. ...:;. .....; .... .. .. ..... September . ...... 1-10 September 11-20 STasonal Trends of Vegetation Conditions MOPT I Key Max imum Average Miniwm________ May Maximum, Minimum, and Average are July Sept Nov derived from the 1981-86 historic record _ record _ _ _ _ ANSONGO DINEMA May July Sept Nov May July Sept Nov fMay July Sept Nov Z YOROSS0 May July Sept Nov BOUGOUNI KOUL IKORO-- - May July Sept Nov May I Julyi, tSept *II NoviI May July Sept Nov Source: FEWS/PWA. September 1987 remained the same or declined from June 11-20 to July 21­ 30. Although there has been a steady increase in vegetative vigor across the Region since the end of July, the potential for normal yields is low because crops were sown late and long dry periods in July impeded crop development. Cumulative rainfall through July 31 was below the 1951­ 1980 average at all reporting stations (see Table 1), although it was similar to 1986 levels at the Nioro, Koutiala, Sikasso, Bamako-Senou, and San stations. Reported rainfall at the stations at Gao, Tombouctou, Hombori, Bougouni, Kayes, and Mopti was less than 60% of the thirty year average. Rainfall was sporadic in many areas. July 1-20 was generally quite dry, while rains during the following ten days were normal. The Mopti and Bougouni rain stations recorded extremely low levels of rainfall for approximately thirty days (from June 21 - July 20). Table 1: Cumulative Rainfall Through July 31 (mm) % of 1951-80 1951-80 Station 1987 Average Average Gao 35 102 34 Tombouctou 40 80 50 Hombori 94 184 51 Bougouni 277 537 52 Kayes 145 270 54 Mopti 127 229 55 Nioro 139 214 65 Segou 208 303 69 Kita 287 408 70 Bamako-Scnou 316 420 75 Koutiala 334 439 76 Sikasso 451 534 84 Kenieba 376 436 86 San 319 328 97 Source: Government of Mali National Meteorology Office A'RICULTURE AND USAID personnel who travelled to Kayes, Sikasso, Segou LIVESTOCK and Mopti Regions during late July and the first two weeks of August, observed wide variations in crop development throughout Mali and generally supported conclusions drawn from satellite imagery. Around Diema, Lakamane and Oussoubidiania (Kayes Region) and in Mopti Cercle (Mopti Region) planting
Recommended publications
  • Security Council Distr.: General 28 December 2020
    United Nations S/2020/1281* Security Council Distr.: General 28 December 2020 Original: English Situation in Mali Report of the Secretary-General I. Introduction 1. By its resolution 2531 (2020), the Security Council extended the mandate of the United Nations Multidimensional Integrated Stabilization Mission in Mali (MINUSMA) until 30 June 2021 and requested me to report to the Council every three months on the implementation of the resolution. The present report covers major developments in Mali since my previous report (S/2020/952) of 29 September. As requested in the statement by the President of the Security Council of 15 October (S/PRST/2020/10), it also includes updates on the Mission’s support for the political transition in the country. II. Major developments 2. Efforts towards the establishment of the institutions of the transition, after the ousting of the former President, Ibrahim Boubacar Keita on 18 August in a coup d’état, continued to dominate political developments in Mali. Following the appointment in late September of the President of the Transition, Bah N’Daw, the Vice-President, Colonel Assimi Goïta, and the Prime Minister, Moctar Ouane, on 1 October, a transition charter was issued. On 5 October, a transitional government was formed, and, on 3 December, President Bah N’Daw appointed the 121 members of the Conseil national de Transition, the parliament of the Transition. Political developments 1. Transitional arrangements 3. On 1 October, Malian authorities issued the Transition Charter, adopted in September during consultations with political leaders, civil society representatives and other national stakeholders. The Charter outlines the priorities, institutions and modalities for an 18-month transition period to be concluded with the holding of presidential and legislative elections.
    [Show full text]
  • Gold from Children's Hands
    SO M O Gold from children’s hands Use of child-mined gold by the electronics sector Irene Schipper & Esther de Haan & Mark van Dorp November 2015 Colophon Gold from children’s hands Use of child-mined gold by the electronics sector November 2015 Authors: Irene Schipper and Esther de Haan With contributions of: Meike Remmers and Vincent Kiezebrink Mali field research: Mark van Dorp Layout: Frans Schupp Photos: Mark van Dorp / SOMO en ELEFAN-SARL ISBN: 978-94-6207-075-2 Published by: Commisioned by: Stichting Onderzoek Multinationale Stop Child Labour Ondernemingen (SOMO) ‘Stop Child Labour – School is the best Centre for Research on Multinational place to work’ (SCL) is a coalition Corporations coordinated by Hivos. The coalition The Centre for Research on Multina- consists of the Algemene Onderwijs- tional Corporations (SOMO) is an bond (AOb), FNV Mondiaal, Hivos, the independent, not-for-profit research and India Committee of the Netherlands network organisation working on social, (ICN), Kerk in Actie & ICCO ecological and economic issues related Cooperation, Stichting Kinderpostzegels to sustainable development. Since 1973, Nederland and local organisations in the organisation investigates multina- Asia, Africa and Latin America. tional corporations and the conse- www.stopchildlabour.org quences of their activities for people and the environment around the world. Sarphatistraat 30 1018 GL Amsterdam The Netherlands T + 31 (20) 6391291 F + 31 (20) 6391321 [email protected] www.somo.nl Gold from children’s hands Use of child-mined gold by the electronics sector SOMO Irene Schipper, Esther de Haan and Mark van Dorp Amsterdam, November 2015 Contents Glossary ................................................................................................................ 4 Acronyms ..............................................................................................................
    [Show full text]
  • Agricultural Diversification in Mali: the Case of the Cotton Zone of Koutiala
    AGRICULTURAL DIVERSIFICATION IN MALI: THE CASE OF THE COTTON ZONE OF KOUTIALA By Mariam Sako Thiam A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of Agricultural, Food, and Resource Economics – Master of Science 2014 ABSTRACT AGRICULTURAL DIVERSIFICATION IN MALI: THE CASE OF THE COTTON ZONE OF KOUTIALA By Mariam Sako Thiam Cotton production plays a central role in the economy and the livelihood of cotton growers in the Koutiala area of Mali. Despite all the investment made in the cotton zones, the cotton farmers in Koutiala suffer substantially from uncertainties in the cotton subsector linked to prices, timely payment, and to the future structure of the industry. This study analyzes empirically how cotton growers with different agricultural characteristics coped with these uncertainties over the period 2006-2010. The data used in this study were collected during the survey that covered 150 households in the Koutiala area during three cropping seasons: 2006-07, 2008-09 and 2009- 10.The results show that despite income diversification among the households surveyed in Koutiala, agricultural production remains the main source of income. The findings also show that the farmers who continued to grow cotton during the three years of the survey and those who started producing cotton after year one diversified within the agricultural sector by producing more peanuts and cowpeas while the farmers who dropped out of cotton production after year one of the survey diversified toward non-farm activities such as commerce and self. We also found that the non-cotton growers are the poorest group of farmers, with less agricultural equipment and labor as well as less overall wealth, limiting their potential to invest in farm activities and start an off-farm business.
    [Show full text]
  • FINAL REPORT Quantitative Instrument to Measure Commune
    FINAL REPORT Quantitative Instrument to Measure Commune Effectiveness Prepared for United States Agency for International Development (USAID) Mali Mission, Democracy and Governance (DG) Team Prepared by Dr. Lynette Wood, Team Leader Leslie Fox, Senior Democracy and Governance Specialist ARD, Inc. 159 Bank Street, Third Floor Burlington, VT 05401 USA Telephone: (802) 658-3890 FAX: (802) 658-4247 in cooperation with Bakary Doumbia, Survey and Data Management Specialist InfoStat, Bamako, Mali under the USAID Broadening Access and Strengthening Input Market Systems (BASIS) indefinite quantity contract November 2000 Table of Contents ACRONYMS AND ABBREVIATIONS.......................................................................... i EXECUTIVE SUMMARY............................................................................................... ii 1 INDICATORS OF AN EFFECTIVE COMMUNE............................................... 1 1.1 THE DEMOCRATIC GOVERNANCE STRATEGIC OBJECTIVE..............................................1 1.2 THE EFFECTIVE COMMUNE: A DEVELOPMENT HYPOTHESIS..........................................2 1.2.1 The Development Problem: The Sound of One Hand Clapping ............................ 3 1.3 THE STRATEGIC GOAL – THE COMMUNE AS AN EFFECTIVE ARENA OF DEMOCRATIC LOCAL GOVERNANCE ............................................................................4 1.3.1 The Logic Underlying the Strategic Goal........................................................... 4 1.3.2 Illustrative Indicators: Measuring Performance at the
    [Show full text]
  • Impact of Voice Reminders to Reinforce Harvest Aggregation Services
    Robert D Osei Impact of voice reminders to Fred M Dzanku reinforce harvest aggregation Isaac Osei-Akoto Felix Asante services training for farmers in Mali Louis S Hodey Pokuaa N Adu Kwabena Adu-Ababio December 2018 Massa Coulibaly Impact Agriculture Evaluation Report 90 About 3ie The International Initiative for Impact Evaluation (3ie) promotes evidence-informed equitable, inclusive and sustainable development. We support the generation and effective use of high- quality evidence to inform decision-making and improve the lives of people living in poverty in low- and middle-income countries. We provide guidance and support to produce, synthesise and quality-assure evidence of what works, for whom, how, why and at what cost. 3ie impact evaluations 3ie-supported impact evaluations assess the difference a development intervention has made to social and economic outcomes. 3ie is committed to funding rigorous evaluations that include a theory-based design, and use the most appropriate mix of methods to capture outcomes and are useful in complex development contexts. About this report 3ie accepted the final version of the report, Impact of voice reminders to reinforce harvest aggregation services training for farmers in Mali, as partial fulfilment of requirements under grant TW4.1016 awarded through Thematic Window 4, the Agricultural Innovation Evidence Programme. 3ie has copyedited and formatted the content for publication. Due to unavoidable constraints at the time of publication, a few of the tables or figures may be less than optimal. The 3ie technical quality assurance team for this report comprises Benjamin Wood, Diana Lopez-Avila, Mark Engelbert, Deeksha Ahuja, Stuti Tripathi, Marie Gaarder, Emmanuel Jimenez, an anonymous external impact evaluation design expert reviewer and an anonymous external sector expert reviewer, with overall technical supervision by Marie Gaarder.
    [Show full text]
  • Annuaire Statistique 2015 Du Secteur Développement Rural
    MINISTERE DE L’AGRICULTURE REPUBLIQUE DU MALI ----------------- Un Peuple - Un But – Une Foi SECRETARIAT GENERAL ----------------- ----------------- CELLULE DE PLANIFICATION ET DE STATISTIQUE / SECTEUR DEVELOPPEMENT RURAL Annuaire Statistique 2015 du Secteur Développement Rural Juin 2016 1 LISTE DES TABLEAUX Tableau 1 : Répartition de la population par région selon le genre en 2015 ............................................................ 10 Tableau 2 : Population agricole par région selon le genre en 2015 ........................................................................ 10 Tableau 3 : Répartition de la Population agricole selon la situation de résidence par région en 2015 .............. 10 Tableau 4 : Répartition de la population agricole par tranche d'âge et par sexe en 2015 ................................. 11 Tableau 5 : Répartition de la population agricole par tranche d'âge et par Région en 2015 ...................................... 11 Tableau 6 : Population agricole par tranche d'âge et selon la situation de résidence en 2015 ............. 12 Tableau 7 : Pluviométrie décadaire enregistrée par station et par mois en 2015 ..................................................... 15 Tableau 8 : Pluviométrie décadaire enregistrée par station et par mois en 2015 (suite) ................................... 16 Tableau 9 : Pluviométrie enregistrée par mois 2015 ........................................................................................ 17 Tableau 10 : Pluviométrie enregistrée par station en 2015 et sa comparaison à
    [Show full text]
  • Perceptions and Adaptations to Climate Change in Southern Mali
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 12 March 2021 doi:10.20944/preprints202103.0353.v1 Perceptions and adaptations to climate change in Southern Mali Tiémoko SOUMAORO PhD student at the UFR of Economics and Management, Gaston Berger University (UGB) of Saint-Louis, Senegal. [email protected] ABSTRACT This study aims to determine the impact of climate change on market garden production in the extreme south of Mali through the perception and adaptation of market gardeners to climatic phenomena. The study used two models, namely the probit selection and Heckman results models and multinomial logistic regression, based on data collected from producers. A total of 194 producers were surveyed. The results of Heckman's probit model indicate that experience in agriculture and the educational level of the producers are the two main determinants of producers' perception and simultaneous adaptation to climate change. Among these variables agricultural experience is both positively and negatively correlated with perception. Keywords: Adaptation, climate change, southern Mali, Heckman probit, vegetable production 1. INTRODUCTION Climate change and its impacts have now become one of the greatest challenges for humanity, its environment and its economies (IPCC, 2013). At the global level, climate change is reflected in the rise in the average temperature of the planet, the melting of glaciers, the rise in sea level and the increase in the frequency of extreme events, the disappearance of species of animal origin, changes in rainfall patterns, etc. The average temperature in the world will increase by 1.8°C to 4°C, and in the worst case 6.4°C by the end of this century (IPCC, 2007).
    [Show full text]
  • Infected Areas As Oa 17 April 1986 — Zones Infectées Au 17 Avril 1986
    WX/i bpidem HiX No, lo - lô Aprü J^fiC - 123 - Reieveepule ni fieod Nw lt> - IS avnl iys6 Infected Areas as oa 17 April 1986 — Zones infectées au 17 avril 1986 For criteria used in compiling this Usu see No 2, page 10 - Les critères appliques pour la compilation de celle liste sont publies dans le Nü 2, page 10. X Newly reported areas - Nouvelles zones signalées. PLAGUE - PESTE lluancabamba Province RUANDA Aceh Tenggara Regency Aceh Timur Regency Africa — Afrique C de la Froment Disinct Gtsenyi Region Hiuncabamba Disinct Aceh Utara (P) Regency MADAGASCAR SENEGAL - SÉNÉGAL Banda Aceh Municipality Piura Province Cap-lert Region Antananarivo Province Las Lomas Disinct Pidie Regency Antsirabe U S Pré/ Dakar Jaw a Barat Province Manandona District Asia - Asie Fleuve Region Cirebon Regency Vtnaninkarena District v ie t n a m Dagana Depanement Purwakarta Regency Soavinandrtana S Préf Gia-Lai-Cong Turn Province Stne-Saioum Region Serang Regency Ambaioasana Centre Lim Dông Province Fauck Depanement Sumedang Regency Fianaranisoa Province Phu Kiunh Province Kaoluck Département Jawa Tengah Province imbatujinandrahana S. Préf Thies Region Banjamegara Regency Arobatomifasoniira Disinct Thies Depanement Banyumas Regency Soawna District SIERRA LEONE Brebes Regency Ambohimahasoa S Préf CHOLERA - CHOLERA North West Area Cilacap Regency Manandroy District Africa - .Afrique Kambm Distnct Demak Regency Ambosilra S, Pré) BENIN - BÉNIN Pon Loko Distnct Jeparu Regency Ambaiomamu Disinct Tonkohli District PekaJongan Regency Ambohimahazo Disinct Allantique Prounce
    [Show full text]
  • 9781464804335.Pdf
    Land Delivery Systems in West African Cities Land Delivery Systems in West African Cities The Example of Bamako, Mali Alain Durand-Lasserve, Maÿlis Durand-Lasserve, and Harris Selod A copublication of the Agence Française de Développement and the World Bank © 2015 International Bank for Reconstruction and Development / Th e World Bank 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org Some rights reserved 1 2 3 4 18 17 16 15 Th is work is a product of the staff of Th e World Bank with external contributions. Th e fi ndings, interpretations, and conclusions expressed in this work do not necessarily refl ect the views of Th e World Bank, its Board of Executive Directors, or the governments they represent, or the Agence Française de Développement. Th e World Bank does not guarantee the accuracy of the data included in this work. Th e boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of Th e World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of Th e World Bank, all of which are specifi cally reserved. Rights and Permissions Th is work is available under the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO) http:// creativecommons.org/licenses/by/3.0/igo. Under the Creative Commons Attribution license, you are free to copy, distribute, transmit, and adapt this work, including for commercial purposes, under the following conditions: Attribution—Please cite the work as follows: Durand-Lasserve, Alain, Maÿlis Durand-Lasserve, and Harris Selod.
    [Show full text]
  • WEEKLY EPIDEMIOLOGICAL RECORD RELEVE EPIDEMIOLOGIQUE HEBDOMADAIRE 15 SEPTEMBER 1995 ● 70Th YEAR 70E ANNÉE ● 15 SEPTEMBRE 1995
    WEEKLY EPIDEMIOLOGICAL RECORD, No. 37, 15 SEPTEMBER 1995 • RELEVÉ ÉPIDÉMIOLOGIQUE HEBDOMADAIRE, No 37, 15 SEPTEMBRE 1995 1995, 70, 261-268 No. 37 World Health Organization, Geneva Organisation mondiale de la Santé, Genève WEEKLY EPIDEMIOLOGICAL RECORD RELEVE EPIDEMIOLOGIQUE HEBDOMADAIRE 15 SEPTEMBER 1995 c 70th YEAR 70e ANNÉE c 15 SEPTEMBRE 1995 CONTENTS SOMMAIRE Expanded Programme on Immunization – Programme élargi de vaccination – Lot Quality Assurance Evaluation de la couverture vaccinale par la méthode dite de Lot survey to assess immunization coverage, Quality Assurance (échantillonnage par lots pour l'assurance de la qualité), Burkina Faso 261 Burkina Faso 261 Human rabies in the Americas 264 La rage humaine dans les Amériques 264 Influenza 266 Grippe 266 List of infected areas 266 Liste des zones infectées 266 Diseases subject to the Regulations 268 Maladies soumises au Règlement 268 Expanded Programme on Immunization (EPI) Programme élargi de vaccination (PEV) Lot Quality Assurance survey to assess immunization coverage Evaluation de la couverture vaccinale par la méthode dite de Lot Quality Assurance (échantillonnage par lots pour l'assurance de la qualité) Burkina Faso. In January 1994, national and provincial Burkina Faso. En janvier 1994, les autorités nationales et provin- public health authorities, in collaboration with WHO, con- ciales de santé publique, en collaboration avec l’OMS, ont mené ducted a field survey to evaluate immunization coverage une étude sur le terrain pour évaluer la couverture vaccinale des for children 12-23 months of age in the city of Bobo enfants de 12 à 23 mois dans la ville de Bobo Dioulasso. L’étude a Dioulasso. The survey was carried out using the method of utilisé la méthode dite de Lot Quality Assurance (LQA) plutôt que Lot Quality Assurance (LQA) rather than the 30-cluster la méthode des 30 grappes plus couramment utilisée par les pro- survey method which has traditionally been used by immu- grammes de vaccination.
    [Show full text]
  • USAID/ Mali SIRA
    USAID/ Mali SIRA Selective Integrated Reading Activity Quarterly Report April to June 2018 July 30, 2018 Submitted to USAID/Mali by Education Development Center, Inc. in accordance with Task Order No. AID-688-TO-16-00005 under IDIQC No. AID-OAA-I-14- 00053. This report is made possible by the support of the American People jointly through the United States Agency for International Development (USAID) and the Government of Mali. The contents of this report are the sole responsibility of Education Development Center, Inc. (EDC) and, its partners and do not necessarily reflect the views of USAID or the United States Government. Table of Contents ACRONYMS ...................................................................................................................................... 2 I. Executive Summary ................................................................................................................. 3 II. Key Activities and Results ....................................................................................................... 5 II.A. – Intermediate Result 1: Classroom Early Grade Reading Instruction Improved ........................ 5 II.A.1. Sub-Result 1.1: Student’s access to evidence-based, conflict and gender sensitive, early Grade reading material increased .................................................................................................. 5 II.A.2. Sub IR1.2: Inservice teacher training in evidence-based early Grade reading improved ..... 6 II.A.3. Sub-Result 1.3: Teacher coaching and supervision
    [Show full text]
  • Cotton As Catalyst?: Mali's Silent Maize Revolution
    Cotton as Catalyst?: Mali’s Silent Maize Revolution Paul Laris Jeremy Foltz Department of Geography Department of Agricultural California State University Economics Long Beach University of Wisconsin Cotton Field in Southern Mali Why do farmers embrace cotton cultivation when they are well aware of the difficulties that they may confront while doing so? We can understand this paradox by conceptualizing cotton growing as part of larger systems of which farmers value cotton production for more than its potential or actual income alone (Koenig 2008). Our study’s approach Multi-scale history of cotton and maize production • Quantitative Data – FAO national data 1961-2007 – IER-Mali regional data 1984- 2007 • Crop area, production and yield – IER-Sikasso data from 1994- 2006 • Qualitative Data 2010 • ~100 household/farms Interviews with farmers in 4 • 9-12 villages in 3 sub-regions: villages in CMDT and OHVN Koutiala, Kadiolo, Bougouni zones A Brief History of the Cotton-Maize Connection • Early 1980s: Introduction and Promotion of Intensive Maize Growing – In 1981 Malian cotton company,(CMDT) launched the Maize Intensification Project – Developed fertilizing formula based on existing fertilizers that were available for cotton – Subsidized prices for maize and access to credit for fertilizers led to an increase in production New maize varieties A Brief History of the Cotton-Maize Connection • 1990s: Currency Devaluation and Expansion – 1994 the West Africa currency (CFA) devalued 50% – Cotton price rises as cost of does fertilizer – Expansion of both fertilizer use and area farmed – Cotton production increases and maize booms, millet and sorghum growth is flat. – Cotton yields fall and the argument is made that cotton area expands too rapidly resulting in yield declines (Benjaminsen).
    [Show full text]