Developing ANDI: A Novel Approach to Health Product R&D in Africa
Publication Date
June 29, 2010
Journal
PLOS Medicine
Authors
Solomon Nwaka, Tshinko B. Ilunga, Jorge Santos Da Silva, Emiliano Rial Verde, et al
Volume
7
Issue
6
Pages
e1000293
DOI
https://dx.plos.org/10.1371/journal.pmed.1000293
Publisher URL
http://journals.plos.org/plosmedicine/article?id=10.1371%2Fjournal.pmed.1000293
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/20613865
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2893959
Europe PMC
http://europepmc.org/abstract/MED/20613865
Web of Science
000279400000005
Scopus
77955037813
Mendeley
http://www.mendeley.com/research/developing-andi-novel-approach-health-product-rd-africa
Events
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Mendeley | Further Information

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Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/842435"], "description"=>"<p>Only 21% of all articles with at least one African author focus on the conditions causing highest disease burden in Africa. This reduced research focus mirrors the low number of products being tested in clinical trials (only ∼1/3 of trials). African DALYs were obtained from the Global Burden of Disease project of WHO. Peer-reviewed articles with at least one African author published in the biomedical fields during the 5-year period between 2004 and 2008 were identified by querying the Thomson Web of Science database for African countries in the affiliation field (<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000293#pmed-1000293-g002\" target=\"_blank\">Figure 2</a> and <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000293#pmed.1000293.s007\" target=\"_blank\">Text S1</a>). Absolute numbers of clinical trials were identified using the ClinicalTrials.gov database (as of September 2009). All trials for drugs and biological products with at least one center in Africa were considered and all 53 focus countries were scanned. Only trials “currently open” or “recently completed” (i.e., concluded within 48 months of scan date) were counted. A total of 1,627 trials were identified, out of which 511 trials focus on drugs or biologicals for diseases identified as causing the highest disease burden in Africa (see left column of charts).</p>", "links"=>[], "tags"=>["disproportionately", "affecting", "africa"], "article_id"=>512885, "categories"=>["Pharmacology", "Microbiology", "Medicine", "Biochemistry", "Computational Biology", "Biotechnology", "Science Policy", "Genetics"], "users"=>["Solomon Nwaka", "Tshinko B. Ilunga", "Jorge Santos Da Silva", "Emiliano Rial Verde", "Doan Hackley", "Raymond De Vré", "Tom Mboya-Okeyo", "Robert G. Ridley"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000293.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Diseases_disproportionately_affecting_Africa_are_under_prioritized_/512885", "title"=>"Diseases disproportionately affecting Africa are under-prioritized.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-29 00:48:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/842518"], "description"=>"<p>Flow chart: Creation of Bibliographic databases.</p>", "links"=>[], "tags"=>["bibliographic"], "article_id"=>512976, "categories"=>["Pharmacology", "Microbiology", "Medicine", "Biochemistry", "Computational Biology", "Biotechnology", "Science Policy", "Genetics"], "users"=>["Solomon Nwaka", "Tshinko B. Ilunga", "Jorge Santos Da Silva", "Emiliano Rial Verde", "Doan Hackley", "Raymond De Vré", "Tom Mboya-Okeyo", "Robert G. Ridley"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000293.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_chart_Creation_of_Bibliographic_databases_/512976", "title"=>"Flow chart: Creation of Bibliographic databases.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-29 00:49:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/842606"], "description"=>"<p>Mapping of the top African cities by research output shows hotspots of R&D activity, but also highlights inequities in R&D productivity across the continent. To create this mapping we used articles with Africa-based authors in the corresponding address. A total of 20,119 articles were identified (<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000293#pmed-1000293-g002\" target=\"_blank\">Figure 2</a> and <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000293#pmed.1000293.s007\" target=\"_blank\">Text S1</a>), but for simplicity only African cities with over 30 articles from 2004 to 2008 are marked. This represents 16,647 articles (circle diameter indicates number of published articles; a total of 91 cities in 28 countries are identified but only the top 40 are labeled).</p>", "links"=>[], "tags"=>["biochemistry/drug discovery", "biotechnology/small molecule chemistry", "chemical biology", "genetics and genomics/functional genomics", "microbiology", "non-clinical medicine/health policy", "pharmacology/drug development", "public health and epidemiology/infectious diseases", "science policy/education"], "article_id"=>513053, "categories"=>["Pharmacology", "Microbiology", "Medicine", "Biochemistry", "Computational Biology", "Biotechnology", "Science Policy", "Genetics"], "users"=>["Solomon Nwaka", "Tshinko B. Ilunga", "Jorge Santos Da Silva", "Emiliano Rial Verde", "Doan Hackley", "Raymond De Vré", "Tom Mboya-Okeyo", "Robert G. Ridley"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000293.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_R_amp_D_capacity_in_Africa_/513053", "title"=>"Distribution of R&D capacity in Africa.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-29 00:50:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/842727"], "description"=>"<p>Network mapping of most collaborative institutions leading articles identified as directly related to HIV/AIDS and published from 2004 to 2008. There are eight top centers in Africa, mostly in the Southern region. Few articles are published in collaboration between these African centers but there is active collaboration with institutions in the Northern Hemisphere, mainly in the US. Yellow circles indicate institutions in Africa and red circles mark institutions outside of Africa. Circle diameter indicates the count of HIV/AIDS articles identified in the analyzed period. Only the top most collaborative institutions in the network and the links to and from Africa among them are shown. Institutions outside Africa that do not show connections (e.g., Institut Pasteur) are linked to other institutions outside Africa or to institutions not identified as the most collaborative.</p>", "links"=>[], "tags"=>["europe"], "article_id"=>513181, "categories"=>["Pharmacology", "Microbiology", "Medicine", "Biochemistry", "Computational Biology", "Biotechnology", "Science Policy", "Genetics"], "users"=>["Solomon Nwaka", "Tshinko B. Ilunga", "Jorge Santos Da Silva", "Emiliano Rial Verde", "Doan Hackley", "Raymond De Vré", "Tom Mboya-Okeyo", "Robert G. Ridley"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000293.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Collaboration_bias_towards_the_US_and_Europe_for_the_HIV_AIDS_R_amp_D_network_/513181", "title"=>"Collaboration bias towards the US and Europe for the HIV/AIDS R&D network.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-29 00:53:01"}

PMC Usage Stats | Further Information

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Relative Metric

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