EVOLUTION DE LA POPULATION URBAINE Pays : Cameroun
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MINMAP Région Du Centre SERVICES DECONCENTRES REGIONAUX ET DEPARTEMENTAUX
MINMAP Région du Centre SERVICES DECONCENTRES REGIONAUX ET DEPARTEMENTAUX N° Désignation des MO/MOD Nbre de Marchés Montant des Marchés N° page 1 Services déconcentrés Régionaux 19 2 278 252 000 4 Département de la Haute Sanaga 2 Services déconcentrés départementaux 6 291 434 000 7 3 COMMUNE DE BIBEY 2 77 000 000 8 4 COMMUNE DE LEMBE YEZOUM 8 119 000 000 8 5 COMMUNE DE MBANDJOCK 3 50 000 000 10 6 COMMUNE DE MINTA 5 152 500 000 10 7 COMMUNE DE NANGA-EBOKO 12 139 500 000 11 8 COMMUNE DE NKOTENG 5 76 000 000 13 9 COMMUNE DE NSEM 1 27 000 000 13 TOTAL 42 932 434 000 Département de la Lekié 10 Services déconcentrés départementaux 8 268 357 000 14 11 COMMUNE DE BATCHENGA 2 35 000 000 15 12 COMMUNE DE LOBO 8 247 000 000 15 13 COMMUNE DE MONATELE 11 171 500 000 16 14 COMMUNE DE SA'A 16 384 357 000 18 15 COMMUNE D'ELIG-MFOMO 7 125 000 000 20 16 COMMUNE D'EVODOULA 9 166 250 000 21 17 COMMUNE D'OBALA 14 223 500 000 22 18 COMMUNE D'OKOLA 22 752 956 000 24 19 COMMUNE D’EBEBDA 6 93 000 000 27 TOTAL 103 2 466 920 000 Département du Mbam et Inoubou 20 Services déconcentrés départementaux 4 86 000 000 28 21 COMMUNE DE BAFIA 5 75 500 000 28 22 COMMUNE DE BOKITO 12 213 000 000 29 23 COMMUNE DE KIIKI 4 134 000 000 31 24 COMMUNE DE KONYAMBETA 6 155 000 000 32 25 COMMUNE DE DEUK 2 77 000 000 33 26 COMMUNE DE MAKENENE 3 17 000 000 33 27 COMMUNE DE NDIKINIMEKI 4 84 000 000 34 28 COMMUNE D'OMBESSA 5 91 000 000 34 29 COMMUNE DE NITOUKOU 6 83 000 000 35 TOTAL 51 1 015 500 000 MINMAP/DIVISION DE LA PROGRAMMATION ET DU SUIVI DES MARCHES PUBLICS Page 1 de 88 N° Désignation -
Monitoring of HIV Viral Load, CD4 Cell Count, and Clinical Assessment
Articles Monitoring of HIV viral load, CD4 cell count, and clinical assessment versus clinical monitoring alone for antiretroviral therapy in low-resource settings (Stratall ANRS 12110/ESTHER): a cost-eff ectiveness analysis Sylvie Boyer, Laura March, Charles Kouanfack, Gabrièle Laborde-Balen, Patricia Marino, Avelin Fobang Aghokeng, Eitel Mpoudi-Ngole, Sinata Koulla-Shiro, Eric Delaporte, Maria Patrizia Carrieri, Bruno Spire, Christian Laurent, Jean-Paul Moatti, on behalf of the Stratall ANRS 12110/ESTHER Study Group* Summary Background In low-income countries, the use of laboratory monitoring of patients taking antiretroviral therapy Lancet Infect Dis 2013; (ART) remains controversial in view of persistent resource constraints. The Stratall trial did not show that clinical 13: 577–86 monitoring alone was non-inferior to laboratory and clinical monitoring in terms of immunological recovery. We Published Online aimed to evaluate the costs and cost-eff ectiveness of the ART monitoring approaches assessed in the Stratall trial. April 18, 2013 http://dx.doi.org/10.1016/ S1473-3099(13)70073-2 Methods The randomised, controlled, non-inferiority Stratall trial was done in a decentralised setting in Cameroon. See Comment page 560 Between May 23, 2006, and Jan 31, 2008, ART-naive adults were randomly assigned (1:1) to clinical monitoring *Members listed at end of paper (CLIN) or viral load and CD4 cell count plus clinical monitoring (LAB) and followed up for 24 months. We INSERM, UMR912 (SESSTIM), calculated costs, number of life-years saved (LYS), and incremental cost-eff ectiveness ratios (ICERs) with data Marseille, France (S Boyer PhD, from patients who had been followed up for at least 6 months. -
Diversity of Plants Used to Treat Respiratory Diseases in Tubah
International Scholars Journals International Journal of Pharmacy and Pharmacology ISSN: 2326-7267 Vol. 3 (11), pp. 001-008, November, 2012. Available online at www.internationalscholarsjournals.org © International Scholars Journals Author(s) retain the copyright of this article. Full Length Research Paper Diversity of plants used to treat respiratory diseases in Tubah, northwest region, Cameroon D. A. Focho1*, E. A. P. Nkeng2, B. A. Fonge3, A. N. Fongod3, C. N. Muh1, T. W. Ndam1 1 and A. Afegenui 1 Department of Plant Biology, University of Dschang. P. O. Box 67, Dschang, Cameroon. 2 Department of Chemistry, University of Dschang, P. O. Box 63, Dschang, Cameroon. 3 Department of Plant and Animal Sciences, University of Buea, Cameroon. Accepted 17 September, 2012 This study was conducted in Tubah subdivision, Northwest region, Cameroon, aiming at identifying plants used to treat respiratory diseases. A semi-structured questionnaire was used to interview members of the population including traditional healers, herbalists, herb sellers, and other villagers. The plant parts used as well as the modes of preparation and administration were recorded. Fifty four plant species belonging to 51 genera and 33 families were collected and identified by their vernacular and scientific names. The Asteraceae was the most represented family (6 species) followed by the Malvaceae (4 species). The families Asclepiadaceae, Musaceae and Polygonaceae were represented by one species each. The plant part most frequently used to treat respiratory diseases in the study was reported as the leaf. Of the 54 plants studied, 36 have been documented as medicinal plants in Cameroon’s pharmacopoeia. However, only nine of these have been reported to be used in the treatment of respiratory diseases. -
Shelter Cluster Dashboard NWSW052021
Shelter Cluster NW/SW Cameroon Key Figures Individuals Partners Subdivisions Cameroon 03 23,143 assisted 05 Individual Reached Trend Nigeria Furu Awa Ako Misaje Fungom DONGA MANTUNG MENCHUM Nkambe Bum NORD-OUEST Menchum Nwa Valley Wum Ndu Fundong Noni 11% BOYO Nkum Bafut Njinikom Oku Kumbo Belo BUI Mbven of yearly Target Njikwa Akwaya Jakiri MEZAM Babessi Tubah Reached MOMO Mbeggwi Ngie Bamenda 2 Bamenda 3 Ndop Widikum Bamenda 1 Menka NGO KETUNJIA Bali Balikumbat MANYU Santa Batibo Wabane Eyumodjock Upper Bayang LEBIALEM Mamfé Alou OUEST Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Fontem Nguti KOUPÉ HNO/HRP 2021 (NW/SW Regions) Toko MANENGOUBA Bangem Mundemba SUD-OUEST NDIAN Konye Tombel 1,351,318 Isangele Dikome value Kumba 2 Ekondo Titi Kombo Kombo PEOPLE OF CONCERN Abedimo Etindi MEME Number of PoC Reached per Subdivision Idabato Kumba 1 Bamuso 1 - 100 Kumba 3 101 - 2,000 LITTORAL 2,001 - 13,000 785,091 Mbongé Muyuka PEOPLE IN NEED West Coast Buéa FAKO Tiko Limbé 2 Limbé 1 221,642 Limbé 3 [ Kilometers PEOPLE TARGETED 0 15 30 *Note : Sources: HNO 2021 PiN includes IDP, Returnees and Host Communi�es The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations Key Achievement Indicators PoC Reached - AGD Breakdouwn 296 # of Households assisted with Children 27% 26% emergency shelter 1,480 Adults 21% 22% # of households assisted with core 3,769 Elderly 2% 2% relief items including prevention of COVID-19 21,618 female male 41 # of households assisted with cash for rental subsidies 41 Households Reached Individuals Reached Cartegories of beneficiaries reported People Reached by region Distribution of Shelter NFI kits integrated with COVID 19 KITS in Matoh town. -
B133 Cameroon's Far North Reconstruction Amid Ongoing Conflict
Cameroon’s Far North: Reconstruction amid Ongoing Conflict &ULVLV*URXS$IULFD%ULHILQJ1 1DLUREL%UXVVHOV2FWREHU7UDQVODWHGIURP)UHQFK I. Overview Cameroon has been officially at war with Boko Haram since May 2014. Despite a gradual lowering in the conflict’s intensity, which peaked in 2014-2015, the contin- uing violence, combined with the sharp rise in the number of suicide attacks between May and August 2017, are reminders that the jihadist movement is by no means a spent force. Since May 2014, 2,000 civilians and soldiers have been killed, in addition to the more than 1,000 people kidnapped in the Far North region. Between 1,500 and 2,100 members of Boko Haram have reportedly been killed following clashes with the Cameroonian defence forces and vigilante groups. The fight against Boko Haram has exacerbated the already-delicate economic situation for the four million inhabitants of this regionௗ–ௗthe poorest part of the country even before the outbreak of the conflict. Nevertheless, the local population’s adaptability and resilience give the Cameroonian government and the country’s international partners the opportunity to implement development policies that take account of the diversity and fluidity of the traditional economies of this border region between Nigeria and Chad. The Far North of Cameroon is a veritable crossroads of trading routes and cultures. Besides commerce, the local economy is based on agriculture, livestock farming, fishing, tourism, transportation of goods, handcrafts and hunting. The informal sector is strong, and contraband rife. Wealthy merchants and traditional chiefsௗ–ௗoften members of the ruling party and high-ranking civil servantsௗ–ௗare significant economic actors. -
Cameroon July 2019
FACTSHEET Cameroon July 2019 Cameroon currently has On 25 July, UNHCR organized a A US Congress delegation 1,548,652 people of concern, preparatory workshop in visited UNHCR in Yaoundé on 01 including 287,467 Central Bertoua ahead of cross-border July and had an exchange with African and 107,840 Nigerian meeting on voluntary refugees and humanitarian actors refugees. repatriation of CAR refugees. on situation in the country. POPULATION OF CONCERN (1,548,652 AS OF 30 JULY) CAR REFUGEES IN RURAL AREAS 266,810 NIG REFUGEES IN RURAL AREAS 105,923 URBAN REFUGEES** 25,938 ASYLUM SEEKERS*** 8,972 IDPs FAR NORTH**** 262,831 IDPs NORTH-WEST/SOUTH-WEST***** 530,806 RETURNEES**** 347,372 **Incl. 20,657 Central Africans and 1,917 Nigerian refugees living in urban areas. ***Incl. 6,917 Central Africans and 42 Nigerian asylum seekers living in urban areas. **** Source: IOM DTM #18. Including 237,349 estimated returnees in NW/SW regions. *****IDPs in Littoral, North-West, South-West and West regions, Source: OCHA. FUNDING (AS OF 30 JULY) USD 90.3 M Requested for Cameroon Gap: 86% Gap: 74% UNHCR PRESENCE Staff: 251 167 National Staff 42 International Staff 42 Affiliate workforce (8 International and 34 National) 11 OFFICES: Representation – Yaounde Sub Offices – Bertoua, Meiganga, Maroua, Buea Field Offices – Batouri, Djohong, Touboro, Douala and Bamenda. Field Unit – Kousseri Refugees from Cameroon and UNHCR staff on a training visit to Songhai Farming Complex, Porto Novo-Benin www.unhcr.org 1 FACTSHEET > Cameroon – July 2019 WORKING WITH PARTNERS UNHCR coordinates protection and assistance for persons of concern in collaboration with: Government Partners: Ministries of External Relations, Territorial Administration, Economy, Planning and Regional Development, Public Health, Women’s Empowerment and the Family, Social Affairs, Justice, Basic Education, Water and Energy, Youth and Civic Education, the National Employment Fund and others, Secrétariat Technique des Organes de Gestion du Statut des réfugiés. -
Dictionnaire Des Villages Du Mbam P
OFFICE DE LA RECHERCHE REPUBliQUE FEDERALE SCIENTIFIQUE ET TECHNIQUE DU OUT,RE·MER CAMEROUN CENTRE OR5TOM DE YAOUNDE DICTIONNAIRE DES _VILLAGES DU MBAM D'après la documentation réunie par ~la Section de Géographie de l'I.R.CAM.3 REPERTQIRE GEOGRAPHIQUE DU CAMEROUN FASCICULE n° 1 1 rR-GAM 8. P. '9J SH. n° 31 YAOUNDÉ Mai 1966 REPERTOIRE GEOGRAPHIQUE DU CAMEROUN Fasc. Tableau de la population du Cameroun, 68 p. Fév. 1965 SH, N° 17 Fasc. 2 Dictionnaire des villages du Dia et Lobo, 89 p. Juin 1965 SH. N° 22 Fasc. 3 Dictionnaire des villages de la Haute-Sanaga, 53 p. Août 1965 SH. N° 23 Fasc. 4 Dictionnaire des villages du Nyong et Mfoumou, 49 p. Octobre 1965 SH. N° 24 Fasc. 5 Dictionnaire des villages du Nyong et Soo 45 p. Novembre 1965 SH. N° 25 Fasc. 6 Dictionnaire des villages du Ntem 126 p. Décembre 1965 SH. N° 26 Fasc. 7 Dictionnaire- des villages de la Mefou 108 p. Janvier 1966 SH. N° 27 Fasc. 8 Dictionnaire des villages du Nyong et Kellé 51 p. Février 1966 SH. N° 28 Fasc. 9 Dictionnaire des villages de la Lékié 71 p. Mars 1966 SH. N° 29 Fasc. 10 Dictionnaire des villages de Kribi P. Mars 1966 SH. N° 30 Fasc. 11 Dictionnaire des villages du Mbam P. 60 Mai 1966 SH. N° 31 Fasc. 12 Dictionnaire des villages de Boumba Ngoko (en préparation) Fasc. 13 ùictionnaire des villages de Lom-et-Diérem (en préparation! omCE DE LA RECHERCHE SCIENTIFIQUE RERJBLlQUE FEDERALE ET TECHNI~E OUmE-MER ID CAMEROUN _ • _cee- -- - CENTRE ORSTOM DE YAOUNDE DICTIONNAIRE ~ VILLAGES DU ...........M B A M MAI 1!66 S.R. -
Cameroon Humanitarian Situation Report
SITUATION REPORT MAY-JUNE 2016 Cameroon Humanitarian Situation Report SITUATION IN NUMBERS Highlights 30 June 2016 Cameroon has the highest number of internally displaced persons 194,517 MALNOURISHED CHILDREN and refugees as part of the sub-regional crisis as a result of the 61,262 with Severe Acute Malnutrition ongoing conflict with Boko Haram, following Nigeria. 133,255 with Moderate Acute Malnutrition Since the beginning of 2016, 23,150 children under 5 (including (UNICEF-MOH, SMART 2015) 2,669 refugee children) have been admitted for therapeutic care for severe acute malnutrition (SAM) 259,145 CAR REFUGEES (UNHCR, April 2016) 702 children unaccompanied and separated as a result of the CAR refugee crisis and the Nigeria crisis have been either placed in 64,938 NIGERIAN REFUGEES interim care and/or are receiving appropriate follow-up through 56,830 in the Minawao refugee camp UNICEF support. 3,829 arrived since January 2016 (UNHCR, May 2016) The funding situation remains worrisome which are constraining 116,200 children out of lifesaving activities. Child protection, education, HIV and health remain the most underfunded sectors. UNICEF’s Humanitarian 190,591 INTERNALLY DISPLACED response funding gap is at 83%. PERSONS 83% of displacements caused by the conflict (IOM, DTM April 2016) US$ 31.4 million REQUIRED UNICEF’s Response with partners UNICEF Sector/Cluster 17% funding available in 2016 2016 2016 Cumulative Cumulative UNICEF Cluster 12,000,000 results (#) results (#) Target Target 10,000,000 Number of CAR refugee children 39,000 -
Premier Spiritain Camerounais Jean Criaud
Mémoire Spiritaine Volume 8 Mort et résurrection: le « Saint-Coeur de Article 6 Marie » et le «Saint-Esprit» en 1848 November 1998 Le P. Etienne Nkodo (1911-1983), premier spiritain camerounais Jean Criaud Follow this and additional works at: https://dsc.duq.edu/memoire-spiritaine Part of the Catholic Studies Commons Recommended Citation Criaud, J. (2019). Le P. Etienne Nkodo (1911-1983), premier spiritain camerounais. Mémoire Spiritaine, 8 (8). Retrieved from https://dsc.duq.edu/memoire-spiritaine/vol8/iss8/6 This Article is brought to you for free and open access by the Spiritan Collection at Duquesne Scholarship Collection. It has been accepted for inclusion in Mémoire Spiritaine by an authorized editor of Duquesne Scholarship Collection. Les missions spiritaines au Cameroun dans les années 30. Les PP. Joseph Kapfer et Marcel Mader, à la mission de Minlaba, en 1927. LA MISSION SPIRITAINE DANS L'HISTOIRE Mémoire Spiritaine, n° 8, deuxième semestre 1998, p. 50 à 73. Le Père Etienne Nkodo (1911-1983), premier spiritain camerounais Jean Criaud* Arrivés à Douala (Cameroun) le 25 octobre 1890, les missionnaires catho- liques s'installèrent d'abord sur la côte, ou plus exactement près de la côte, sur le bord du fleuve Sanaga, à Marienberg en 1890, à Edéa et Kribi en 1891, à 1 Engelberg en 1894 et à Douala en 1898. Les Pères Pallotins allemands , car il s'agissait d'eux, commencèrent l'évangélisation de l'intérieur à partir de 1901. Yaoundé devint vite la mission la plus florissante du Vicariat. Les populations au sud du Nyong manifestèrent bientôt leur sympathie pour le christianisme. -
Joshua Osih President
Joshua Osih President THE STRENGTH OF OUR DIVERSITY PRESIDENTIAL ELECTION 2018 JOSHUA OSIH | THE STRENGTH OF OUR DIVERSITY | P . 1 MY CONTRACT WITH THE NATION Build a new Cameroon through determination, duty to act and innovation! I decided to run in the presidential election of October 7th to give the youth, who constitute the vast majority of our population, the opportunity to escape the despair that has gripped them for more than three decades now, to finally assume responsibility for the future direction of our highly endowed nation. The time has come for our youth to rise in their numbers in unison and take control of their destiny and stop the I have decided to run in the presidential nation’s descent into the abyss. They election on October 7th. This decision, must and can put Cameroon back on taken after a great deal of thought, the tracks of progress. Thirty-six years arose from several challenges we of selfish rule by an irresponsible have all faced. These crystalized into and corrupt regime have brought an a single resolution: We must redeem otherwise prosperous Cameroonian Cameroon from the abyss of thirty-six nation to its knees. The very basic years of low performance, curb the elements of statecraft have all but negative instinct of conserving power disappeared and the citizenry is at all cost and save the collapsing caught in a maelstrom. As a nation, system from further degradation. I we can no longer afford adequate have therefore been moved to run medical treatment, nor can we provide for in the presidential election of quality education for our children. -
GE84/275 BR IFIC Nº 2893 Section Spéciale Special Section
Section spéciale Index BR IFIC Nº 2893 Special Section GE84/275 Sección especial Indice International Frequency Information Circular (Terrestrial Services) ITU - Radiocommunication Bureau Circular Internacional de Información sobre Frecuencias (Servicios Terrenales) UIT - Oficina de Radiocomunicaciones Circulaire Internationale d'Information sur les Fréquences (Services de Terre) UIT - Bureau des Radiocommunications Date/Fecha : 16.04.2019 Expiry date for comments / Fecha limite para comentarios / Date limite pour les commentaires : 25.07.2019 Description of Columns / Descripción de columnas / Description des colonnes Intent Purpose of the notification Propósito de la notificación Objet de la notification 1a Assigned frequency Frecuencia asignada Fréquence assignée 4a Name of the location of Tx station Nombre del emplazamiento de estación Tx Nom de l'emplacement de la station Tx B Administration Administración Administration 4b Geographical area Zona geográfica Zone géographique 4c Geographical coordinates Coordenadas geográficas Coordonnées géographiques 6a Class of station Clase de estación Classe de station 1b Vision / sound frequency Frecuencia de portadora imagen/sonido Fréquence image / son 1ea Frequency stability Estabilidad de frecuencia Stabilité de fréquence 1e carrier frequency offset Desplazamiento de la portadora Décalage de la porteuse 7c System and colour system Sistema de transmisión / color Système et système de couleur 9d Polarization Polarización Polarisation 13c Remarks Observaciones Remarques 9 Directivity Directividad -
Programmation De La Passation Et De L'exécution Des Marchés Publics
PROGRAMMATION DE LA PASSATION ET DE L’EXÉCUTION DES MARCHÉS PUBLICS EXERCICE 2021 JOURNAUX DE PROGRAMMATION DES MARCHÉS DES SERVICES DÉCONCENTRÉS ET DES COLLECTIVITÉS TERRITORIALES DÉCENTRALISÉES RÉGION DU CENTRE EXERCICE 2021 SYNTHESE DES DONNEES SUR LA BASE DES INFORMATIONS RECUEILLIES N° Désignation des MO/MOD Nbre de Marchés Montant des Marchés N°Page 1 Services déconcentrés Régionaux 17 736 645 000 3 2 Communauté Urbaine de Yaoundé 62 10 459 000 000 5 Département de la Haute Sanaga 3 Services déconcentrés départementaux 2 24 000 000 10 4 Commune de Bibey 12 389 810 000 10 5 Commune de Lembe Yezoum 17 397 610 000 11 6 Commune de Mbandjock 12 214 000 000 12 7 Commune de Minta 8 184 500 000 12 8 Commune de Nanga Ebogo 21 372 860 000 13 9 Commune de Nkoteng 12 281 550 000 14 10 Commune de Nsem 5 158 050 000 15 TOTAL 89 2 022 380 000 Département de la Lekié 11 Services déconcentrés départementaux 9 427 000 000 16 12 Commune de Batchenga 8 194 000 000 17 13 Commune d'Ebebda 10 218 150 000 18 14 Commune d'Elig-Mfomo 8 174 000 000 19 15 Commune d'Evodoula 10 242 531 952 20 16 Commune de Lobo 11 512 809 000 21 17 Commune de Monatélé 12 288 500 000 22 18 commune d'Obala 11 147 000 000 23 19 commune d'Okola 14 363 657 000 24 20 commune de Sa'a 17 319 500 000 25 TOTAL 110 2 887 147 952 Département du Mbam et Inoubou 21 Services déconcentrés départementaux 6 144 385 000 27 22 Commune Bafia 13 213 500 000 27 23 Commune de Bokito 9 167 500 000 28 24 Commune de DEUK 17 379 500 000 29 25 Commune Kiiki 10 285 000 000 30 26 Commune Konyambeta 12 295