Natchigal Hydropower Project Country: Cameroon
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Review of the Evolution of Insecticide Resistance in Main Malaria Vectors in Cameroon from 1990 to 2017 Christophe Antonio-Nkondjio1,5*, N
Antonio-Nkondjio et al. Parasites & Vectors (2017) 10:472 DOI 10.1186/s13071-017-2417-9 REVIEW Open Access Review of the evolution of insecticide resistance in main malaria vectors in Cameroon from 1990 to 2017 Christophe Antonio-Nkondjio1,5*, N. Sonhafouo-Chiana2, C. S. Ngadjeu3, P. Doumbe-Belisse3, A. Talipouo3, L. Djamouko-Djonkam4, E. Kopya3, R. Bamou4, P. Awono-Ambene1 and Charles S. Wondji5 Abstract Background: Malaria remains a major public health threat in Cameroon and disease prevention is facing strong challenges due to the rapid expansion of insecticide resistance in vector populations. The present review presents an overview of published data on insecticide resistance in the main malaria vectors in Cameroon to assist in the elaboration of future and sustainable resistance management strategies. Methods: A systematic search on mosquito susceptibility to insecticides and insecticide resistance in malaria vectors in Cameroon was conducted using online bibliographic databases including PubMed, Google and Google Scholar. From each peer-reviewed paper, information on the year of the study, mosquito species, susceptibility levels, location, insecticides, data source and resistance mechanisms were extracted and inserted in a Microsoft Excel datasheet. The data collected were then analysed for assessing insecticide resistance evolution. Results: Thirty-three scientific publications were selected for the analysis. The rapid evolution of insecticide resistance across the country was reported from 2000 onward. Insecticide resistance was highly prevalent in both An. gambiae (s.l.) and An. funestus. DDT, permethrin, deltamethrin and bendiocarb appeared as the most affected compounds by resistance. From 2000 to 2017 a steady increase in the prevalence of kdr allele frequency was noted in almost all sites in An. -
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 -
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. -
WEEKLY BULLETIN on OUTBREAKS and OTHER EMERGENCIES Week 21: 18 - 24 May 2020 Data As Reported By: 17:00; 24 May 2020
WEEKLY BULLETIN ON OUTBREAKS AND OTHER EMERGENCIES Week 21: 18 - 24 May 2020 Data as reported by: 17:00; 24 May 2020 REGIONAL OFFICE FOR Africa WHO Health Emergencies Programme 1 111 102 10 New events Ongoing events Outbreaks Humanitarian crises 8 306 600 Algeria 25 1 1 0 485 0 237 6 Gambia 7 0 675 60 945 61 Mauritania 13 0 1 030 65 Senegal 304 1 39 0Eritrea 3 047 35 Niger 7 635 37 Mali 380 3 Burkina Faso 95 4 0 3 7 0 Cabo Verdé Guinea 832 52 22 0 Chad 582 5 4 690 18 4 1 7 839 226 29 0 Nigeria 3 275 20Côte d’Ivoire South Sudan 1 873 895 15 604 1 274 3 32 0 Guinea-Bissau Ghana 987 202 4 400 159 7 551 92 381 12 139 0 2 0 4 0 Central African 25 0 Liberia 2 376 30 22 0 655 8 Benin Cameroon 4 732 26 Ethiopia 1 173 6 6 683 32 Republic 1 618 5 21 219 83 Sierra léone Togo 352 14 1 449 71 Uganda 120 18 Democratic Republic 812 3 339 3 14 0 401 3 1 214 51 of Congo 8 4 202 0 505 32 1 1 Congo 304 0 Gabon 3 463 2 280 Kenya 149 3 555 13 Legend 265 26 9 0 95 4 37 0 1 934 12 58 112 748 Rwanda Measles Humanitarian crisis 327 0 487 16 9 018 112 Burundi 299 9 11 0 Hepatitis E Monkeypox 42 1 2 305 66 Seychelles Sao Tome 5 0 Yellow fever Tanzania 857 0 70 0 Lassa fever and Principe 509 21 20 7 79 0 Dengue fever Cholera 1 441 37 1 043 12 Angola Ebola virus disease Comoros cVDPV2 Equatorial 83 4 2 0 Chikungunya Guinea 121 0 696 0 COVID-19 Malawi 69 4 Zambia Mozambique Guinea Worm 920 7 Anthrax Leishmaniasis Zimbabwe 2 305 18 Madagascar Malaria Namibia Floods Plague 286 1 Botswana 56 4 334 10 Cases Crimean-Congo haemorrhagic fever 236 865 226 527 2 Deaths 21 -
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 -
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. -
Cameroon: Transport Sector Support Programme Phase 2
AFRICAN DEVELOPMENT BANK GROUP PROJECT: CAMEROON: TRANSPORT SECTOR SUPPORT PROGRAMME PHASE 2: - REHABILITATION OF THE YAOUNDE-BAFOUSSAM- BABADJOU ROAD - DEVELOPMENT OF THE GRAND ZAMBI-KRIBI ROAD - DEVELOPMENT OF THE MAROUA-BOGO-POUSS ROAD COUNTRY: CAMEROON PROJECT APPRAISAL REPORT OITC November 2016 Translated Document TABLE OF CONTENTS I. PROJECT STRATEGIC THRUSTS AND RATIONALE ................................................... 1 1.1 Key Development Issues ....................................................................................................................... 1 1.2 Project Linkages with the National Strategy and Objectives .................................................................... 2 1.3 Rationale for Bank's Involvement ............................................................................................................. 2 1.4 Donor Coordination ................................................................................................................................. 3 II. PROJECT DESCRIPTION ..................................................................................................... 4 2.1. Project Objectives and Components ........................................................................................................ 4 2.2 Technical Solutions Retained and Alternatives Explored ......................................................................... 5 2.3 Project Type ............................................................................................................................................ -
Land Use and Land Cover Changes in the Centre Region of Cameroon
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 18 February 2020 Land Use and Land Cover changes in the Centre Region of Cameroon Tchindjang Mesmin; Saha Frédéric, Voundi Eric, Mbevo Fendoung Philippes, Ngo Makak Rose, Issan Ismaël and Tchoumbou Frédéric Sédric * Correspondence: Tchindjang Mesmin, Lecturer, University of Yaoundé 1 and scientific Coordinator of Global Mapping and Environmental Monitoring [email protected] Saha Frédéric, PhD student of the University of Yaoundé 1 and project manager of Global Mapping and Environmental Monitoring [email protected] Voundi Eric, PhD student of the University of Yaoundé 1 and technical manager of Global Mapping and Environmental Monitoring [email protected] Mbevo Fendoung Philippes PhD student of the University of Yaoundé 1 and internship at University of Liège Belgium; [email protected] Ngo Makak Rose, MSC, GIS and remote sensing specialist at Global Mapping and Environmental Monitoring; [email protected] Issan Ismaël, MSC and GIS specialist, [email protected] Tchoumbou Kemeni Frédéric Sédric MSC, database specialist, [email protected] Abstract: Cameroon territory is experiencing significant land use and land cover (LULC) changes since its independence in 1960. But the main relevant impacts are recorded since 1990 due to intensification of agricultural activities and urbanization. LULC effects and dynamics vary from one region to another according to the type of vegetation cover and activities. Using remote sensing, GIS and subsidiary data, this paper attempted to model the land use and land cover (LULC) change in the Centre Region of Cameroon that host Yaoundé metropolis. The rapid expansion of the city of Yaoundé drives to the land conversion with farmland intensification and forest depletion accelerating the rate at which land use and land cover (LULC) transformations take place. -
Rapport De L'etude Du Concept De Base Pour Le Quatrieme Projet D
No. RAPPORT DE L’ETUDE DU CONCEPT DE BASE POUR LE QUATRIEME PROJET D’HYDRAULIQUE RURALE EN REPUBLIQUE DU CAMEROUN MARS 2006 AGENCE JAPONAISE DE COOPERATION INTERNATIONALE GM JR 06-047 RAPPORT DE L’ETUDE DU CONCEPT DE BASE POUR LE QUATRIEME PROJET D’HYDRAULIQUE RURALE EN REPUBLIQUE DU CAMEROUN MARS 2006 AGENCE JAPONAISE DE COOPERATION INTERNATIONALE Avant-propos Conformément à la requête présentée par le Gouvernement de la République du Cameroun, le Gouvernement du Japon a décidé de procéder à une étude du concept de base pour le Quatrième projet d’hydraulique rurale en République du Cameroun, et ladite étude a été réalisée par l’Agence Japonaise de Coopération Internationale (JICA). La JICA a envoyé en site une mission d’étude du concept de base du 19 juin au 17 août 2005. La mission d’étude a mené des entretiens avec les personnes concernées du Gouvernement du Cameroun et mené une étude en site dans la région visée par le projet. Des travaux ont été effectués au Japon au retour de la mission, et le présent rapport a été élaboré après les explications en site portant sur une proposition de rapport abrégé du concept de base, menées du 6 décembre au 15 décembre 2005. Je souhaite sincèrement que le présent rapport contribue non seulement à l’avancement du projet, mais se révèle également utile dans le développement des relations amicales entre les deux pays. En dernier lieu, je tiens à présenter ma sincère reconnaissance à toutes les personnes concernées qui ont apporté leur aide et leur collaboration lors de cette étude. -
Predicted Distribution and Burden of Podoconiosis in Cameroon
Predicted distribution and burden of podoconiosis in Cameroon. Supplementary file Text 1S. Formulation and validation of geostatistical model of podoconiosis prevalence Let Yi denote the number of positively tested podoconiosis cases at location xi out of ni sample individuals. We then assume that, conditionally on a zero-mean spatial Gaussian process S(x), the Yi are mutually independent Binomial variables with probability of testing positive p(xi) such that ( ) = + ( ) + ( ) + ( ) + ( ) + ( ) 1 ( ) � � 0 1 2 3 4 5 − + ( ) + ( ) 6 where the explanatory in the above equation are, in order, fraction of clay, distance (in meters) to stable light (DSTL), distance to water bodies (DSTW), elevation (E), precipitation(Prec) (in mm) and fraction of silt at location xi. We model the Gaussian process S(x) using an isotropic and stationary exponential covariance function given by { ( ), ( )} = { || ||/ } 2 ′ − − ′ Where || ||is the Euclidean distance between x and x’, is the variance of S(x) and 2 is a scale − pa′rameter that regulates how fast the spatial correlation decays to zero for increasing distance. To check the validity of the adopted exponential correlation function for the spatial random effects S(x), we carry out the following Monte Carlo algorithm. 1. Simulate a binomial geostatistical data-set at observed locations xi by plugging-in the maximum likelihood estimates from the fitted model. 2. Estimate the unstructured random effects Zi from a non-spatial binomial mixed model obtained by setting S(x) =0 for all locations x. 3. Use the estimates for Zi from the previous step to compute the empirical variogram. 4. Repeat steps 1 to 3 for 10,000 times. -
A Gendered Analysis of Cocoa Production in Southern Cameroon
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Kumase, Wokia-azi N.; Bisseleua, Herve; Klasen, Stephan Working Paper Opportunities and constraints in agriculture: A gendered analysis of cocoa production in Southern Cameroon Discussion Papers, No. 27 Provided in Cooperation with: Courant Research Centre 'Poverty, Equity and Growth in Developing and Transition Countries', University of Göttingen Suggested Citation: Kumase, Wokia-azi N.; Bisseleua, Herve; Klasen, Stephan (2010) : Opportunities and constraints in agriculture: A gendered analysis of cocoa production in Southern Cameroon, Discussion Papers, No. 27, Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG), Göttingen This Version is available at: http://hdl.handle.net/10419/90510 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. -
Forecasts and Dekadal Climate Alerts for the Period 1St to 10Th June 2021
REPUBLIQUE DU CAMEROUN REPUBLIC OF CAMEROON Paix-Travail-Patrie Peace-Work-Fatherland ----------- ----------- OBSERVATOIRE NATIONAL SUR NATIONAL OBSERVATORY LES CHANGEMENTS CLIMATIQUES ON CLIMATE CHANGE ----------------- ----------------- DIRECTION GENERALE DIRECTORATE GENERAL ----------------- ----------------- ONACC www.onacc.cm; [email protected]; Tel : (+237) 693 370 504 / 654 392 529 BULLETIN N° 82 Forecasts and Dekadal Climate Alerts for the Period 1st to 10th June 2021 st 1 June 2021 © NOCC June 2021, all rights reserved Supervision Prof. Dr. Eng. AMOUGOU Joseph Armathé, Director General, National Observatory on Climate Change (NOCC) and Lecturer in the Department of Geography at the University of Yaounde I, Cameroon. Eng. FORGHAB Patrick MBOMBA, Deputy Director General, National Observatory on Climate Change (NOCC). Production Team (NOCC) Prof. Dr. Eng. AMOUGOU Joseph Armathé, Director General, National Observatory on Climate Change (NOCC) and Lecturer in the Department of Geography at the University of Yaounde I, Cameroon. Eng. FORGHAB Patrick MBOMBA, Deputy Director General, National Observatory on Climate Change (NOCC). BATHA Romain Armand Soleil, PhD student and Technical staff, NOCC. ZOUH TEM Isabella, M.Sc. in GIS-Environment and Technical staff, NOCC. NDJELA MBEIH Gaston Evarice, M.Sc. in Economics and Environmental Management. MEYONG René Ramsès, M.Sc. in Physical Geography (Climatology/Biogeography). ANYE Victorine Ambo, Administrative staff, NOCC. ELONG Julien Aymar, M.Sc. in Business and Environmental law. I. Introduction