DOCSLIB.ORG

Global Health Initiative in Onchocerciasis

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Global Health Initiative in Onchocerciasis African Programme for Onchocerciasis Control (WHO/APOC) Remaining mapping challenges for Oncho and Loa 17-18 November 2013 COR-NTD meeting, Washington DC 1 | African Programme for Onchocerciasis Control Outline • Objective of APOC • Mapping of oncho for the delineation of treatment boundaries – Steps – Survey methods – Status of implementation – Results of parasitological surveys • Assessing the intensity Loa loa infection • Way forward • Challenges 2 Objective of APOC Phasing-out and exit strategy 2008-2015 … to have established, by 2015, a country-led system capable of eliminating onchocerciasis as a public health problem in endemic countries, both those within the geographical area covered by APOC’s mandate and those in ex-OCP area that are causing concern. 3 Pre-control oncho endemicity map 4 Pre-control oncho endemicity map and areas under CDTI 5 Mapping of oncho for the delineation of treatment boundaries • Objective: Conduct additional epidemiological surveys in areas with nodule prevalence <20% (previously known as hypo-endemic areas) in order to decide on the need of extending treatment for onchocerciasis elimination. • Method: Skin biopsy on individuals 5 years old and above 6 Steps • Development of guidelines for revising IVM treatment boundaries • Workshop for selection of areas and villages to be surveyed (March 2013) • Support to some NOTFs in finalizing the selection and developing plan of action and budget (Cameroon, Nigeria, Chad, Equatorial Guinea, DRC, Gabon) • Conduct of surveys with technical and financial support from APOC Trust Fund (since June 2013) 7 Mapping needs for oncho treatment boundaries • Surveys completed in • Surveys to be conducted in 2014 – Cameroon – Angola • completed in Littoral and South regions • Ongoing in Centre and East regions – CAR – Burundi – Congo – DRC – Chad – Ethiopia – Equatorial Guinea (Mainland) – Gabon (in collaboration with CNTD/Liverpool) – Nigeria – Mozambique (borders with Tanzania and Malawi) 8 Cameroon (Littoral and South): 22 Villages selected and surveyed 9 Cameroun (Littoral and South): results of parasitological surveys Attendanc Positi Crude prev. Stand prev. District Village Bassin Census. Exam. e rate ( %) ve % % CMFL REGION DU LITTORAL DIBOMBARI BENGSE NKAM 160 111 69,38 1 0.9 0.7 0.00 DIBOMBARI YABEA NKAM 150 91 60,67 2 2.2 1.5 0.05 DIBOMBARI BWADIBO MOUNGO 324 169 52,16 5 3.0 2.1 0.06 EDEA DIBONGO SANAGA 282 166 58,87 30 18.1 10.8 0.34 EDEA KM 11 SANAGA 355 174 49,01 5 2.9 1.9 0.07 EDEA MBONGO 2 DIBAMBA 435 243 55,86 7 2.9 2.0 0.06 EDEA MOUANKO SANAGA 276 109 39,49 1 0.9 0.7 0.02 EDEA MARIEMBERG SANAGA 197 89 45,18 3 3.4 1.9 0.08 Sub-total 1 8 villages 2179 1152 52,87 54 0.9 – 18.1 0.7 - 10,8 0 - 0.031 REGION DU SUD KRIBI DEHANE NYONG 293 131 44,71 8 6.1 4.8 0.11 KRIBI MINTOM NTEM 152 74 48,68 1 1.4 0.8 0.01 KRIBI AFAN ESSO KYE NTEM 190 79 41,58 0 0.0 0.0 0.00 MVANGAN MINKOUMOU MBOUAN 443 194 43,79 4 2.1 1.6 0.03 EBOLOWA MVILA YEVOL MVILA 251 163 64,94 2 1.2 1.6 0.03 EBOLOWA EKOUMDOUM MVILA 363 209 57,58 3 1.4 1.4 0.02 KRIBI AKOM 1 KIENKE 443 237 53,50 1 0.4 0.2 0.00 LOLODORF BIKOE 1 LEKOUNDJE 391 262 67,01 2 0.8 0.6 0.00 LOLODORF ELON EFOM 320 155 48,44 3 1.9 1.0 0.02 KRIBI MAKOURE LEKOUNDJE 392 244 62,24 12 4.9 3.0 0.06 LOLODORF MOUGUE MOUGUE 135 62 45,93 1 1.6 0.4 0.01 LOLODORF KOUAMPBOER MVILA 282 131 46,45 2 1.5 0.5 0.02 LOLODORF NSOLA NSOLA 251 122 48,61 5 4.1 1.8 0.01 LOLODORF TYANGO TYANGO 205 90 43,90 1 1.1 0.3 0.01 Sub-total 2 14 villages 4111 2153 52,37 45 0 - 6.1 0 - 4.8 0 - 0.11 Total 1+2 22 villages 6290 3305 52,54 99 0 - 18.1 0 - 10.8 0 - 0.31 10 Cameroon (Littoral and South): standardized mf prevalence in the 22 villages 11 Cameroon (Littoral and South): Ensure Oncho+LF treatment in Edea district using alternative method Because of high loiasis prevalence, ensure LF+Oncho treatment in Edea district using alternative method It may be usefull to selected few more villages in South region 12 Chad: 23 Villages selected and surveyed 13 Chad: results of parasitological surveys Attendance Crude Stand N° VILLAGE BASSIN DISTRICT Census Exam. Positive CMFL rate % prev. % prev. % 1 GABRI-NGOLO LOGONE LAI 251 221 88.0 0 0 0 0 2 TCHAKANDJILE LOGONE LAI 232 210 90.5 0 0 0 0 3 BOUMOU LOGONE LAI 233 182 78.1 0 0 0 0 4 MISSERE LOGONE LAI 266 207 77.8 0 0 0 0 5 LEO BIDIM ARIWI GOUNOU-GAYA 240 199 82.9 0 0 0 0 6 MADI GOUH KOLON FIANGA 242 231 95.5 0 0 0 0 7 NGUIRFI MANKIROU FIANGA 321 229 71.3 0 0 0 0 8 KAKINGA GONRINA DOBA 486 259 53.3 0 0 0 0 9 NDOKOBO PENDE BODO 283 227 80.2 0 0 0 0 10 BEKODO II PENDE BODO 255 214 83.9 0 0 0 0 11 BEPARA PENDE BODO 231 184 79.7 1 0,5 0 0 12 BELADJIA LOGONE BENOYE 318 166 52.2 0 0 0 0 13 NDOU LOGONE BENOYE 414 280 67.6 0 0 0 0 14 BAO GUENI BENOYE 478 302 63.2 0 0 0 0 15 BOUROU KAREIGNE BENOYE 433 319 73.7 0 0 0 0 16 MOUROUGOULAYE CHARI GOUNDI 611 448 73.3 0 0 0 0 17 KOUMAYE CHARI GOUNDI 565 432 76.5 0 0 0 0 18 PARIS SAKO M0N0 KOUMRA 243 201 82.7 0 0 0 0 19 NGANGARA CHARI GOUNDI 565 468 82.8 0 0 0 0 20 MATEKAGA CHARI GOUNDI 446 379 85.0 1 0,26 0 0 21 TCHIRE AGAMI KELO 287 254 88.5 0 0 0 0 22 BERTE KABIA KELO 267 240 89.9 0 0 0 0 23 ZAMRE ADI KELO 363 329 90.6 0 0 0 0 Total 8030 6181 77.0 2 14 Chad: standardized mf prevalence in the 23 villages 15 Chad: No extension needed yet • Increase the sample size of Phase 1b epi evaluation to cover theses areas • Ensure IVM+ALB distribution is implemented for LF (if low infection of loa loa is confirmed) 16 Burundi: 20 Villages selected and surveyed 17 Burundi: results of parasitological surveys Atendanc Crude prev. Stand CMFL N° District Village Bassin Census Exami Positive e rate (%) % prev. % 1 Kabezi Magara II Ruzibazi 519 146 28.1 0 0 0 2 Muramvya Kirinzi(Mubura) Mucece 789 177 22.4 0 0 0 Gihangange 3 Kabezi karonké 826 230 27.8 0 0 (Migera) 4 Kabezi Kabezi kanyamanzi 886 337 38 0 0 0 5 Giteranyi Butihinda Pas de riviére 491 212 43.2 0 0 0 6 Giteranyi Rugese Nyamabuno 534 307 57.5 0 0 0 7 Kiyonza Kiyonza Kayaru 346 205 59.2 0 0 0 8 Nyabikere Buyaga Ruvubu 364 240 65.9 0 0 0 9 Mutaho Murongwe Mubarazi 220 158 71.8 0 0 0 10 Mutaho Ntunda (Jenda) Ruvyironza 504 279 55.4 0 0 0 11 BDS Rutana Gitaba Muyovozi 286 176 61.5 0 0 0 12 Ryansoro Muyuga (Kibagara Ruvyironza 202 142 70.3 0 0 0 Musongati 13 DS Rutana nyamabuye 288 169 58.7 0 0 0 (Buhinga) 14 Ryansoro Jungwe Ruvyironza 344 229 66.6 0 0 0 15 Kankuzo Nyamugari Ruru 233 144 61.8 0 0 0 16 Butezi Titi Kayogoro 186 126 67.7 0 0 0 BDS 17 Dunga (Rusovu) Rukoziri 195 100 51.3 0 0 0 Makamba 18 Rumonge Mugina (Ruvuga) Nyengwe 223 129 57.8 0 0 0 BDS 19 Buheka Rwaba 565 359 63.5 1 0,27 0,3 0,00756 Nyanzalac 20 Rumonge Kigwena Nyengwe 581 347 59.7 1 0,28 0,2 0,00783 Totaux 8582 4212 49.1 2 18 Burundi: standardized mf prevalence in the 20 villages 19 Burundi: Additional villages selected for ongoing epi. evaluation 20 Eq. Guinea: results of parasitological surveys N° VILLAGE Bassin Province District POPULATION mf Cens Exam Positive Crude Stand. CMFL us Prev (%) Prev (%) 1 Minang Minang et Bang Litoral Kogo 118 82 0 0 0 0 2 Nko’ho Mofom et Kongu é Litoral Kogo 106 76 0 0 0 0 3 Midjobo Anvom Onvong/Midjobo Litoral Kogo 39 21 0 0 0 0 4 Minang Woro Litoral Mbini 76 47 0 0 0 0 5 King King Litoral Mbini 75 45 0 0 0 0 6 Mbomo Bolo Litoral Mbini 228 121 0 0 0 0 7 Afana Afana Litoral Bata 63 31 0 0 0 0 8 Nfonga Ecucu et Kiri Litotral Bata 65 24 0 0 0 0 9 Alum San José Ecucu Litoral Bata 140 81 0 0 0 0 10 Nvom Gnamiquielé et Nvom Centro Sur Nienfang 105 57 0 0 0 0 11 Micomasi Gnaméyiri /Mbea / Centro Sur Nienfang 58 40 0 0 0 0 Woro 12 Ayene Aseng Centro Sur Nienfang 203 84 0 0 0 0 13 Leng Chiwo/Milong/Woro Centro Sur Evinayong 51 26 0 0 0 0 14 Ayantangan Otongmegna Centro Sur Evinayong 89 63 0 0 0 0 15 Téguete Tegue Centro Sur Evinayong 27 9 0 0 0 0 16 Akurnam Esacora Mbihi Centro Sur Akurenam 47 28 0 0 0 0 17 Esong Neng Centro Sur Akurenam 69 53 0 0 0 0 18 Ayem Kan Centro Sur Akurenam 105 52 0 0 0 0 21 Eq.
Load more

Recommended publications
  • Page 1 C H a D N I G E R N I G E R I a G a B O N CENTRAL AFRICAN
    CAMEROON: LOCATIONS OF UNHCR PERSONS OF CONCERN (November 2019) 1,713,168 PERSONS UNDER THE COMPETENCENIGER OF UNHCR 271,566 CAR REFUGEES IN RURAL AREAS 107,423 NIG REFUGEES IN RURAL AREAS 26,305 URBAN REFUGEES 9,688 ASYLUM SEEKERS 950,263 INTERNALLY DISPLACED PERSONS (IDPs) Kousseri LOGONE 347,923 RETURNEES ET CHARI Waza Limani Magdeme Number of refugees EXTRÊME-NORD MAYO SAVA < 3,000 Mora Mokolo Maroua CHAD > 5,000 Minawao DIAMARÉ MAYO TSANAGA MAYO KANI > 20,000 MAYO DANAY MAYO LOUTI Number of IDPs < 2,000 > 5,000 NIGERIA BÉNOUÉ > 20,000 Number of returnees NORD < 2,000 FARO MAYO REY > 5,000 Touboro > 20,000 FARO ET DÉO Beke chantier Ndip Beka VINA Number of asylum seekers Djohong DONGA < 5,000 ADAMAOUA Borgop MENCHUM MANTUNG Meiganga Ngam NORD-OUEST MAYO BANYO DJEREM Alhamdou MBÉRÉ BOYO Gbatoua BUI Kounde MEZAM MANYU MOMO NGO KETUNJIA CENTRAL Bamenda NOUN BAMBOUTOS AFRICAN LEBIALEM OUEST Gado Badzere MIFI MBAM ET KIM MENOUA KOUNG KHI REPUBLIC LOM ET DJEREM KOUPÉ HAUTS PLATEAUX NDIAN MANENGOUBA HAUT NKAM SUD-OUEST NDÉ Timangolo MOUNGO MBAM ET HAUTE SANAGA MEME Bertoua Mbombe Pana INOUBOU CENTRE Batouri NKAM Sandji Mbile Buéa LITTORAL KADEY Douala LEKIÉ MEFOU ET Lolo FAKO AFAMBA YAOUNDE Mbombate Yola SANAGA WOURI NYONG ET MARITIME MFOUMOU MFOUNDI NYONG EST Ngarissingo ET KÉLLÉ MEFOU ET HAUT NYONG AKONO Mboy LEGEND Refugee location NYONG ET SO’O Refugee Camp OCÉAN MVILA UNHCR Representation DJA ET LOBO BOUMBA Bela SUD ET NGOKO Libongo UNHCR Sub-Office VALLÉE DU NTEM UNHCR Field Office UNHCR Field Unit Region boundary Departement boundary Roads GABON EQUATORIAL 100 Km CONGO ± GUINEA The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations Sources: Esri, USGS, NOAA Source: IOM, OCHA, UNHCR – Novembre 2019 Pour plus d’information, veuillez contacter Jean Luc KRAMO ([email protected]).
    [Show full text]
  • Back Grou Di Formatio O the Co Servatio Status of Bubi Ga Ad We Ge Tree
    BACK GROUD IFORMATIO O THE COSERVATIO STATUS OF BUBIGA AD WEGE TREE SPECIES I AFRICA COUTRIES Report prepared for the International Tropical Timber Organization (ITTO). by Dr Jean Lagarde BETTI, ITTO - CITES Project Africa Regional Coordinator, University of Douala, Cameroon Tel: 00 237 77 30 32 72 [email protected] June 2012 1 TABLE OF COTET TABLE OF CONTENT......................................................................................................... 2 ACKNOWLEDGEMENTS................................................................................................... 4 ABREVIATIONS ................................................................................................................. 5 ABSTRACT.......................................................................................................................... 6 0. INTRODUCTION ........................................................................................................10 I. MATERIAL AND METHOD...........................................................................................11 1.1. Study area..................................................................................................................11 1.2. Method ......................................................................................................................12 II. BIOLOGICAL DATA .....................................................................................................14 2.1. Distribution of Bubinga and Wengé species in Africa.................................................14
    [Show full text]
  • Plan D'aménagement FC Djoum
    REGION DU SUD REPREPUUUUBLIQUEBLIQUE DU CAMEROUN --------------- -------------------------------------------------- DEPARTEMENT DU DJA ET LOBO Paix ––– Travail --- Patrie --------------- -------------------------------------------------- ARRONDISSEMENT DE DJOUM --------------- COMMUNE COUNCIL COMMUNE DJOUM Prestataire : Les Etablissements MEDINOF agréés aux inventaires Plan d’aménagement de la forêt communale de Djoum Page - 1 - INTRODUCTION La loi forestière de 1994 a marqué la volonté manifeste de l’administration en charge des forêts à décentraliser la gestion des ressources forestières. On a ainsi vu apparaître les concepts de forêt communautaire et des forêts communales. Les communes prenaient ainsi la possibité d’acquérir et de gérer une partie du domaine forestier permanent (art 20 de la loi de 1994) pour leur propre compte. La Commune dispose à cet effet de toutes les ressources fauniques et floristiques qui s’y trouvent à condition de respecter les prescriptions du plan d’aménagement approuvé par l’administration. Par décret N° 2002/1070/PM/ du 19 juin 2002 du 1 er Ministre, il a été classé une portion de 15 270 ha de forêt dans le domaine privé de la commune de Djoum. Conformément aux dispositions des textes en vigueur, cette forêt ne peut entrée en exploitation qu’après la validation de son plan d’aménagement. La Commune devait ainsi réaliser : - la cartographie de base de ce massif ; - un inventaire d’aménagement pour une meilleure connaissance du potentiel ligneux qui s’y trouve ; - une étude socio-économique pour évaluer le niveau de pression que connaît ce massif de la part des populations et leurs attentes par rapport à son exploitation ; - rédiger un plan d’aménagement ressortant les prescriptions de gestion de ce massif forestier.
    [Show full text]
  • Minmap Region Du Littoral Synthese Des Donnees Sur La Base Des Informations Recueillies
    MINMAP REGION DU LITTORAL SYNTHESE DES DONNEES SUR LA BASE DES INFORMATIONS RECUEILLIES Nbre de N° Désignation des MO/MOD Montant des Marchés N° page Marchés 1 Communauté Urbaine de de Douala 94 89 179 421 671 3 2 Communité Urbaine d'édéa 5 89 000 000 14 3 Communité Urbaine de Nkongsamba 6 198 774 344 15 4 Services déconcentrés Régionaux 17 718 555 000 16 Département du Moungo 5 Services déconcentrés départementaux 5 145 000 000 18 6 Commune de BARE BAKEM 2 57 000 000 18 7 Commune de BONALEA 3 85 500 000 19 8 Commune de DIBOMBARI 3 105 500 000 19 9 Commune de LOUM 16 445 395 149 19 10 Commune de MANJO 8 132 000 000 21 11 Commune de MBANGA 3 108 000 000 22 12 Commune de MELONG 12 173 500 000 22 13 Commune de NJOMBE PENJA 5 132 000 000 24 14 Commune d'EBONE 12 299 500 000 25 15 Commune de MOMBO 3 77 000 000 26 16 Commune de NKONGSAMBA I 1 27 000 000 26 17 Commune de NKONGSAMBA II 3 59 250 000 27 18 Commune de NKONGSAMBA III 2 87 000 000 27 TOTAL Département 78 1 933 645 149 Département du Nkam 19 Services déconcentrés départementaux 12 232 596 000 28 20 Commune de NKONDJOCK 16 258 623 000 29 21 Commune de YABASSI 14 221 000 000 31 22 Commune de YINGUI 4 53 500 000 33 23 Commune de NDOBIAN 17 345 418 000 33 TOTAL Département 63 1 111 137 000 Département de la Sanaga Maritime 24 Services déconcentrés départementaux 8 90 960 000 36 25 Commune de Dibamba 3 72 000 000 37 26 Commune de Dizangue 5 88 500 000 37 27 Commune de MASSOCK 4 233 230 000 38 28 Commune de MOUANKO 15 582 770 000 38 29 Commune de NDOM 12 339 237 000 40 Nbre de N° Désignation
    [Show full text]
  • CAMEROON COVID-19 Outbreak Anticipatory Briefing Note – 27 March 2020
    CAMEROON COVID-19 outbreak Anticipatory briefing note – 27 March 2020 Anticipated crisis impact Key figures across the country • Cameroon has 54 confirmed cases of COVID-19 in Central Region, Littoral Region and West Region as of 350,000 23 March 2020. (US Embassy) The first positive case was confirmed on 6 March 2020. displaced people face limited access to basic services and living in overcrowded conditions • Cameroon’s Ministry of Public Health has developed a preparedness plan for COVID-19, including active surveillance at points of entry, in-country diagnostic capacity at the national reference laboratory, and designated isolation and treatment centres. WHO and the U.S. Centres for Disease Control and Prevention Food Insecurity and malnutrition The Far North region is most affected by food (D) are providing technical support and are closely monitoring the situation in Cameroon. (US Embassy) insecurity. SAM exceeds the alert threshold of 1%. • The Cameroonian Prime Minister has announced that from 18 March all land, sea, and air borders are closed until further notice due to COVID-19. (US Embassy) (Journal de Cameroon, 18/03/2020) Vulnerable groups • Isolation and treatment centres have been set up for confirmed cases of COVID-19 at: immunocompromised people, displaced population, - Yaoundé Central Hospital, for Central Region, malnourished children, pregnant women and elders. - Laquintinie Hospital in Douala, for Littoral Region, - Garoua Regional Hospital, for North Region, National Cameroon’s Ministry of Public Health is leading the - Kribi District Hospital, for South Region (US Embassy) response capacity preparedness plan for COVID-19 across the country • No data is available regarding a preparedness plan in the Far North Region, where more than 100,000 WHO and the U.S.
    [Show full text]
  • MINMAP Région Du Littoral
    MINMAP Région du Littoral SYNTHESE DES DONNEES SUR LA BASE DES INFORMATIONS RECUEILLIES Nbre de Montant des N° Désignation des MO/MOD N° Page Marchés Marchés 1 Communauté Urbaine d'Edéa 6 1 747 550 008 3 2 Services déconcentrés Régionaux 10 534 821 000 4 TOTAL 16 2 282 371 008 Département du Wouri 3 Services déconcentrés départementaux 6 246 700 000 5 4 Commune de Douala 1 9 370 778 000 5 5 Commune de Douala 2 9 752 778 000 6 6 Commune de Douala 3 12 273 778 000 8 7 Commune de Douala 4 10 278 778 000 9 8 Commune de Douala 5 10 204 605 268 10 9 Commune de Douala 6 10 243 778 000 11 TOTAL 66 2 371 195 268 Département du Moungo 10 Services déconcentrés départementaux 10 159 560 000 12 11 Commune de Bare Bakem 9 234 893 804 13 12 Commune de Bonalea 11 274 397 840 14 13 Commune de Dibombari 11 267 278 000 15 14 Commune de Loum 12 228 397 903 16 15 Commune de Manjo 8 160 940 286 18 16 Commune de Mbanga 10 228 455 858 19 17 Commune de Melong 17 291 778 000 20 18 Commune de Njombe Penja 17 427 728 000 21 19 Commune d'Ebone 10 190 778 000 23 20 Commune de Mombo 9 163 878 000 24 21 Commune de Nkongsamba I 7 161 000 000 25 22 Commune de Nkongsamba II 6 172 768 640 25 23 Commune de Nkongsamba III 9 195 278 000 26 TOTAL 146 3 157 132 331 Département de la Sanaga Maritime 24 Services déconcentrés départementaux 10 214 167 000 27 25 Commune de Dibamba 14 358 471 384 28 26 Commune de Dizangue 13 252 678 000 29 27 Commune de Massock 16 319 090 512 30 28 Commune de Mouanko 9 251 001 000 31 29 Commune de Ndom 17 340 778 000 31 30 Commune de Ngambe 9 235
    [Show full text]
  • Impact Assessment on By-Catch Artisanal Fisheries: Sea Turtles And
    quac d A ul n tu a r e s e J i o r u e r h n Ayissi and Jiofack, Fish Aquac J 2014, 5:3 s i a F l Fisheries and Aquaculture Journal DOI: 10.4172/ 2150-3508.1000099 ISSN: 2150-3508 Research Article Open Access Impact Assessment on By-catch Artisanal Fisheries: Sea Turtles and Mammals in Cameroon, West Africa Ayissi I1,2,3,4,* and Jiofack TJE5 1University of Abdelmalek Essaâdi, Department of Biology, Faculty of Science, Tetouan 2121, Morocco 2Cameroon Marine Biology Association, Morocco 3Specialized Research Center for Marine Ecosystems in Kribi-Cameroon, Cameroon 4Institute of Fisheries and Aquatic Sciences (ISH) at Yabassi, University of Douala, PO Box 2701, Douala, Cameroon 5 Sub-Regional School and Postdoctoral Water Development and Integrated Management of Forests and Tropical Territories, Kinshasa, RDC, Congo *Corresponding author: Ayissi I, University of Abdelmalek Essaâdi, Department of Biology, Faculty of Science, Tetouan 2121, Morocco, Tel: +237 97350175; E-mail: [email protected] Received date: January 20, 2014; Accepted date: July 09, 2014; Published date: July 16, 2014 Copyright: © 2014 Ayissi I, et al. 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 credited. Abstract The by-catch assessment has been carried out along Cameroon coastline to map artisanal fishing effort and quantify impact of by-catch on sea turtles and marine mammals during three months from June to September 2011 and specific objectives include: - To interview fishermen in various fishing villages or ports in Cameroon regarding fishing effort and catch.
    [Show full text]
  • Economic and Social Importance of Fuelwood in Cameroon
    52 International Forestry Review Vol.18(S1), 2016 Economic and social importance of fuelwood in Cameroon R. EBA’A ATYI1, J. NGOUHOUO POUFOUN1,4,5, J-P. MVONDO AWONO2, A. NGOUNGOURE MANJELI3 and R. SUFO KANKEU1,6 1Center for International forestry Research (CIFOR) 2The University of Dschang (Cameroon) 3Ministry of Forests and Wildlife (Cameroon) 4Bureau d’Economie Théorique et Appliquée (BETA), Université de Lorraine (France) 5Inra, AgroParisTech, Laboratoire d’Économie Forestière 6Laboratoire ESO, University of Maine (France) Email: [email protected] SUMMARY The study presented in this article focuses on firewood and charcoal in Cameroon. The study analyses subnational secondary data combined in some cases with additional collected data on firewood and charcoal consumption as well as their market prices. The findings estimate a total consumption of 2.2 million metric tons for firewood and 356,530 metric tons for charcoal in urban areas of Cameroon. Firewood and charcoal contribute to the GDP for an estimated amount of US$ 304 million representing 1.3% of the GDP of Cameroon. In addition, the sub-sector provides about 90,000 equivalent full time jobs while 80% of the people in Cameroon depend entirely on wood-energy for household energy supply. Unfortunately, there is no government policy to develop the wood-energy sub-sector. Keywords: wood-energy, firewood, charcoal, consumption, benefits, national economy Importance économique et sociale du bois-énergie au Cameroun R. EBA’A ATYI, J. NGOUHOUO POUFOUN, J-P. MVONDO AWONO, A. NGOUNGOURE MANJELI et R. SUFO KANKEU L’étude présentée dans cet article s’est intéressée au bois de feu et au charbon de bois au Cameroun.
    [Show full text]
  • Assessment of Prunus Africana Bark Exploitation Methods and Sustainable Exploitation in the South West, North-West and Adamaoua Regions of Cameroon
    GCP/RAF/408/EC « MOBILISATION ET RENFORCEMENT DES CAPACITES DES PETITES ET MOYENNES ENTREPRISES IMPLIQUEES DANS LES FILIERES DES PRODUITS FORESTIERS NON LIGNEUX EN AFRIQUE CENTRALE » Assessment of Prunus africana bark exploitation methods and sustainable exploitation in the South west, North-West and Adamaoua regions of Cameroon CIFOR Philip Fonju Nkeng, Verina Ingram, Abdon Awono February 2010 Avec l‟appui financier de la Commission Européenne Contents Acknowledgements .................................................................................................... i ABBREVIATIONS ...................................................................................................... ii Abstract .................................................................................................................. iii 1: INTRODUCTION ................................................................................................... 1 1.1 Background ................................................................................................. 1 1.2 Problem statement ...................................................................................... 2 1.3 Research questions .......................................................................................... 2 1.4 Objectives ....................................................................................................... 3 1.5 Importance of the study ................................................................................... 3 2: Literature Review .................................................................................................
    [Show full text]
  • Cholera Outbreak
    Emergency appeal final report Cameroon: Cholera outbreak Emergency appeal n° MDRCM011 GLIDE n° EP-2011-000034-CMR 31 October 2012 Period covered by this Final Report: 04 April 2011 to 30 June 2012 Appeal target (current): CHF 1,361,331. Appeal coverage: 21%; <click here to go directly to the final financial report, or here to view the contact details> Appeal history: This Emergency Appeal was initially launched on 04 April 2011 for CHF 1,249,847 for 12 months to assist 87,500 beneficiaries. CHF 150,000 was initially allocated from the Federation’s Disaster Relief Emergency Fund (DREF) to support the national society in responding by delivering assistance. Operations update No 1 was issued on 30 May 2011 to revise the objectives and budget of the operation. Operations update No 2 was issued on 31st May 2011 to provide financial statement against revised budget. Operations update No 3 was issued on 12 October 2011 to summarize the achievements 6 months into the operation. Operations update No 4 was issued on 29 February 2012 to extend the timeframe of the operation from 31st March to 30 June 2012 to cover the funding agreement with the American Embassy in Cameroon. PBR No M1111087 was submitted as final report of this operation to the American Embassy in Cameroon on 03 August 2012. Throughout the operation, Cameroon Red Cross volunteers sensitized the populations on PBR No M1111127 was submitted as final report of this how to avoid cholera. Photo/IFRC operation to the British Red Cross on 14 August 2012. Summary: A serious cholera epidemic affected Cameroon since 2010.
    [Show full text]
  • NW SW Presence Map Complete Copy
    SHELTER CLUSTER PARTNERS SW/NWMap creation da tREGIONe: 06/12/2018 December 2019 Ako Furu-Awa 1 LEGEND Misaje # of Partners NW Fungom Menchum Donga-Mantung 1 6 Nkambe Nwa 3 1 Bum # of Partners SW Menchum-Valley Ndu Mayo-Banyo Wum Noni 1 Fundong Nkum 15 Boyo 1 1 Njinikom Kumbo Oku 1 Bafut 1 Belo Akwaya 1 3 1 Njikwa Bui Mbven 1 2 Mezam 2 Jakiri Mbengwi Babessi 1 Magba Bamenda Tubah 2 2 Bamenda Ndop Momo 6b 3 4 2 3 Bangourain Widikum Ngie Bamenda Bali 1 Ngo-Ketunjia Njimom Balikumbat Batibo Santa 2 Manyu Galim Upper Bayang Babadjou Malentouen Eyumodjock Wabane Koutaba Foumban Bambo7 tos Kouoptamo 1 Mamfe 7 Lebialem M ouda Noun Batcham Bafoussam Alou Fongo-Tongo 2e 14 Nkong-Ni BafouMssamif 1eir Fontem Dschang Penka-Michel Bamendjou Poumougne Foumbot MenouaFokoué Mbam-et-Kim Baham Djebem Santchou Bandja Batié Massangam Ngambé-Tikar Nguti Koung-Khi 1 Banka Bangou Kekem Toko Kupe-Manenguba Melong Haut-Nkam Bangangté Bafang Bana Bangem Banwa Bazou Baré-Bakem Ndé 1 Bakou Deuk Mundemba Nord-Makombé Moungo Tonga Makénéné Konye Nkongsamba 1er Kon Ndian Tombel Yambetta Manjo Nlonako Isangele 5 1 Nkondjock Dikome Balue Bafia Kumba Mbam-et-Inoubou Kombo Loum Kiiki Kombo Itindi Ekondo Titi Ndikiniméki Nitoukou Abedimo Meme Njombé-Penja 9 Mombo Idabato Bamusso Kumba 1 Nkam Bokito Kumba Mbanga 1 Yabassi Yingui Ndom Mbonge Muyuka Fiko Ngambé 6 Nyanon Lekié West-Coast Sanaga-Maritime Monatélé 5 Fako Dibombari Douala 55 Buea 5e Massock-Songloulou Evodoula Tiko Nguibassal Limbe1 Douala 4e Edéa 2e Okola Limbe 2 6 Douala Dibamba Limbe 3 Douala 6e Wou3rei Pouma Nyong-et-Kellé Douala 6e Dibang Limbe 1 Limbe 2 Limbe 3 Dizangué Ngwei Ngog-Mapubi Matomb Lobo 13 54 1 Feedback: [email protected]/ [email protected] Data Source: OCHA Based on OSM / INC *Data collected from NFI/Shelter cluster 4W.
    [Show full text]
  • Molecular Detection of Simulium Damnosum S.L, Vector Of
    Journal of Veterinary Research Advances Research Article ISSN: 2582-774X Open access Molecular detection of Simulium damnosum S.l , Vector of Onchocerca volvulus in Sanaga Maritime (Littoral-Cameroon) Sevidzem Silas Lendzele 1 and Hiol Victor Dermy 2 1Laboratoire d’EcologieVectorielle (LEV-IRET), Libreville, Gabon 2Department of Parasitology and Parasitological Diseases, School of Veterinary Medicine and Science, University of Ngaoundere, Ngaoundere, Cameroon Corresponding author: [email protected] Received on: 18/02/2021 Accepted on: 06/03/2021 Published on: 18/03/2021 ABSTRACT Aim: The study was aimed to identify Simulium species of Mouanko using molecular tools. Method and Materials: Simulium biting humans were aspirated using a sucking tube for molecular identification. Fifty female Simulium flies were caught using the mentioned technique. Results: Molecular genotyping revealed that the anthropophilic Simulium black flies caught were of the Simulium damnosums.l. complex. Conclusion: The presence of Simulium damnosum s.l . indicates the risk of ongoing onchocercosis transmission in the study area. Keywords: Simulium , sucking tube, genotyping, Mouanko . Cite This Article as : Lendzele SS and Dermy HV (2021). Molecular detection of Simulium damnosum S.l , Vector of Onchocerca volvulus in Sanaga Maritime (Littoral-Cameroon). J. Vet. Res. Adv. 03(01): 25-27. Introduction Materials and Methods Human onchocercosis remains a threat to the Description of study area lives of individuals living in some rural Fly collection was conducted in the littoral region communities of Cameroon. The WHO/APOC precisely in Mouanko (Latitude 3° 38' 00’’North and survey report of 2011 revealed >60% prevalence Longitude 9° 47' 00’' East). Mouanko is a coastal of onchocercosis in some foci of the Center 1, town in the Sanaga-Maritime division in the Littoral 2 and West region (Tekle et al., 2016).
    [Show full text]