Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]

The increase in health research in sub-Saharan Africa (SSA) has led to a high demand for biostatisticians to develop study designs, contribute and apply statistical methods in data analyses. Initiatives exist to address the dearth in statistical capacity and lack of local biostatisticians in SSA hea...

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Main Authors: Tobias F. Chirwa, Zvifadzo Matsena Zingoni, Pascalia Munyewende, Samuel O. Manda, Henry Mwambi, Ngianga-Bakwin Kandala, Samson Kinyanjui, Taryn Young, Eustasius Musenge, Jupiter Simbeye, Patrick Musonda, Michael Johnson Mahande, Patrick Weke, Nelson Owuor Onyango, Lawrence Kazembe, Nazarius Mbona Tumwesigye, Khangelani Zuma, Nonhlanhla Yende-Zuma, Marie-Claire Omanyondo Ohambe, Emmanuel Nakua Kweku, Innocent Maposa, Birhanu Ayele, Thomas Achia, Rhoderick Machekano, Lehana Thabane, Jonathan Levin, Marinus J.C. Eijkemans, James Carpenter, Charles Chasela, Kerstin Klipstein-Grobusch, Jim Todd
Format: Article
Language:English
Published: F1000 Research Ltd 2020-12-01
Series:AAS Open Research
Online Access:https://aasopenresearch.org/articles/3-51/v2
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language English
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author Tobias F. Chirwa
Zvifadzo Matsena Zingoni
Pascalia Munyewende
Samuel O. Manda
Henry Mwambi
Ngianga-Bakwin Kandala
Samson Kinyanjui
Taryn Young
Eustasius Musenge
Jupiter Simbeye
Patrick Musonda
Michael Johnson Mahande
Patrick Weke
Nelson Owuor Onyango
Lawrence Kazembe
Nazarius Mbona Tumwesigye
Khangelani Zuma
Nonhlanhla Yende-Zuma
Marie-Claire Omanyondo Ohambe
Emmanuel Nakua Kweku
Innocent Maposa
Birhanu Ayele
Thomas Achia
Rhoderick Machekano
Lehana Thabane
Jonathan Levin
Marinus J.C. Eijkemans
James Carpenter
Charles Chasela
Kerstin Klipstein-Grobusch
Jim Todd
spellingShingle Tobias F. Chirwa
Zvifadzo Matsena Zingoni
Pascalia Munyewende
Samuel O. Manda
Henry Mwambi
Ngianga-Bakwin Kandala
Samson Kinyanjui
Taryn Young
Eustasius Musenge
Jupiter Simbeye
Patrick Musonda
Michael Johnson Mahande
Patrick Weke
Nelson Owuor Onyango
Lawrence Kazembe
Nazarius Mbona Tumwesigye
Khangelani Zuma
Nonhlanhla Yende-Zuma
Marie-Claire Omanyondo Ohambe
Emmanuel Nakua Kweku
Innocent Maposa
Birhanu Ayele
Thomas Achia
Rhoderick Machekano
Lehana Thabane
Jonathan Levin
Marinus J.C. Eijkemans
James Carpenter
Charles Chasela
Kerstin Klipstein-Grobusch
Jim Todd
Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
AAS Open Research
author_facet Tobias F. Chirwa
Zvifadzo Matsena Zingoni
Pascalia Munyewende
Samuel O. Manda
Henry Mwambi
Ngianga-Bakwin Kandala
Samson Kinyanjui
Taryn Young
Eustasius Musenge
Jupiter Simbeye
Patrick Musonda
Michael Johnson Mahande
Patrick Weke
Nelson Owuor Onyango
Lawrence Kazembe
Nazarius Mbona Tumwesigye
Khangelani Zuma
Nonhlanhla Yende-Zuma
Marie-Claire Omanyondo Ohambe
Emmanuel Nakua Kweku
Innocent Maposa
Birhanu Ayele
Thomas Achia
Rhoderick Machekano
Lehana Thabane
Jonathan Levin
Marinus J.C. Eijkemans
James Carpenter
Charles Chasela
Kerstin Klipstein-Grobusch
Jim Todd
author_sort Tobias F. Chirwa
title Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
title_short Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
title_full Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
title_fullStr Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
title_full_unstemmed Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
title_sort developing excellence in biostatistics leadership, training and science in africa: how the sub-saharan africa consortium for advanced biostatistics (ssacab) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]
publisher F1000 Research Ltd
series AAS Open Research
issn 2515-9321
publishDate 2020-12-01
description The increase in health research in sub-Saharan Africa (SSA) has led to a high demand for biostatisticians to develop study designs, contribute and apply statistical methods in data analyses. Initiatives exist to address the dearth in statistical capacity and lack of local biostatisticians in SSA health projects. The Sub-Saharan African Consortium for Advanced Biostatistics (SSACAB) led by African institutions was initiated to improve biostatistical capacity according to the needs identified by African institutions, through collaborative masters and doctoral training in biostatistics. SACCAB has created a critical mass of biostatisticians and a network of institutions over the last five years and has strengthened biostatistics resources and capacity for health research studies in SSA.  SSACAB comprises 11 universities and four research institutions which are supported by four European universities.  In 2015, only four universities had established Masters programmes in biostatistics and SSACAB supported the remaining seven to develop Masters programmes. In 2019 the University of the Witwatersrand became the first African institution to gain Royal Statistical Society accreditation for a Biostatistics Masters programme. A total of 150 fellows have been awarded scholarships to date of which 123 are Masters fellowships (41 female) of whom 58 have already graduated. Graduates have been employed in African academic (19) and research (15) institutions and 10 have enrolled for PhD studies. A total of 27 (10 female) PhD fellowships have been awarded; 4 of them are due to graduate by 2020. To date, SSACAB Masters and PhD students have published 17 and 31 peer-reviewed articles, respectively. SSACAB has also facilitated well-attended conferences, face-to-face and online short courses. Pooling of limited biostatistics resources in SSA combined with co-funding from external partners has shown to be an effective strategy for the development and teaching of advanced biostatistics methods, supervision and mentoring of PhD candidates.
url https://aasopenresearch.org/articles/3-51/v2
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spelling doaj-41331a8b8ac54c65a0731a12f35be9cd2021-01-18T17:41:03ZengF1000 Research LtdAAS Open Research2515-93212020-12-01310.12688/aasopenres.13144.214290Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence [version 2; peer review: 2 approved, 1 approved with reservations]Tobias F. Chirwa0Zvifadzo Matsena Zingoni1Pascalia Munyewende2Samuel O. Manda3Henry Mwambi4Ngianga-Bakwin Kandala5Samson Kinyanjui6Taryn Young7Eustasius Musenge8Jupiter Simbeye9Patrick Musonda10Michael Johnson Mahande11Patrick Weke12Nelson Owuor Onyango13Lawrence Kazembe14Nazarius Mbona Tumwesigye15Khangelani Zuma16Nonhlanhla Yende-Zuma17Marie-Claire Omanyondo Ohambe18Emmanuel Nakua Kweku19Innocent Maposa20Birhanu Ayele21Thomas Achia22Rhoderick Machekano23Lehana Thabane24Jonathan Levin25Marinus J.C. Eijkemans26James Carpenter27Charles Chasela28Kerstin Klipstein-Grobusch29Jim Todd30Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaSchool of Mathematics, Statistics & Computer Science, University of KwaZulu Natal, Pietermaritzburg, South AfricaSchool of Mathematics, Statistics & Computer Science, University of KwaZulu Natal, Pietermaritzburg, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaResearch, Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, KenyaDivision of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Cape Town, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaMathematical Sciences Department, Chancellor College, University of Malawi, Zomba, MalawiDepartment of Epidemiology and Biostatistics, School of Medicine, University of Zambia, Lusaka, ZambiaDepartment of Epidemiology and Biostatistics, Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, TanzaniaSchool of Mathematics, College of Biological and Physical Science, University of Nairobi, Nairobi, KenyaSchool of Mathematics, College of Biological and Physical Science, University of Nairobi, Nairobi, KenyaDepartment of Statistics and Population Studies,, University of Namibia, Windhoek, NamibiaDepartment of Epidemiology and Biostatistics, Makerere University, Kampala, UgandaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaStatistics and Data Management, Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South AfricaBiostatistics, Doctoral School, Institut Superieur Des Techniques Medicales De Kinshasa (ISTM), Kinshasa, Democratic Republic of the CongoDepartment of Epidemiology and Biostatistics, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, GhanaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaDivision of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Cape Town, South AfricaDivision of Global HIV & TB (DGHT), United States Centers for Disease Control and Prevention, KEMRI Campus, Kisumu, KenyaDivision of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Cape Town, South AfricaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, CanadaDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The NetherlandsDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UKDivision of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, 2193, South AfricaJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The NetherlandsDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UKThe increase in health research in sub-Saharan Africa (SSA) has led to a high demand for biostatisticians to develop study designs, contribute and apply statistical methods in data analyses. Initiatives exist to address the dearth in statistical capacity and lack of local biostatisticians in SSA health projects. The Sub-Saharan African Consortium for Advanced Biostatistics (SSACAB) led by African institutions was initiated to improve biostatistical capacity according to the needs identified by African institutions, through collaborative masters and doctoral training in biostatistics. SACCAB has created a critical mass of biostatisticians and a network of institutions over the last five years and has strengthened biostatistics resources and capacity for health research studies in SSA.  SSACAB comprises 11 universities and four research institutions which are supported by four European universities.  In 2015, only four universities had established Masters programmes in biostatistics and SSACAB supported the remaining seven to develop Masters programmes. In 2019 the University of the Witwatersrand became the first African institution to gain Royal Statistical Society accreditation for a Biostatistics Masters programme. A total of 150 fellows have been awarded scholarships to date of which 123 are Masters fellowships (41 female) of whom 58 have already graduated. Graduates have been employed in African academic (19) and research (15) institutions and 10 have enrolled for PhD studies. A total of 27 (10 female) PhD fellowships have been awarded; 4 of them are due to graduate by 2020. To date, SSACAB Masters and PhD students have published 17 and 31 peer-reviewed articles, respectively. SSACAB has also facilitated well-attended conferences, face-to-face and online short courses. Pooling of limited biostatistics resources in SSA combined with co-funding from external partners has shown to be an effective strategy for the development and teaching of advanced biostatistics methods, supervision and mentoring of PhD candidates.https://aasopenresearch.org/articles/3-51/v2