inestej/cancer_africa

Here are the detailed Python/R scripts for collating and analyzing the incidence and fatality rates for the 10 most common and fatal cancers in 56 African countries from 5 different African regions (North, West, East, Central, and South) over 16-years (2002–2018). Analysis is performed by gender, by HDI, and by available medical devices. # Cancer in Africa: The Untold Story ## Original research article submitted to Frontiers in Oncology, Cancer Epidemiology and Prevention, 06 Jan. 2021. ### Yosr Hamdi, Ines Abdeljaoued-Tej, Afzal Ali Zatchi, Sonia Abdelhak, Samir Boubaker, Joel S. Brown and Alia Benkahla To enable the reproducibility of our work, all scripts and material used for the data extraction and analysis were share in GitHub. The worksheets represent the detailed Python script for collating and analyzing the incidence and fatality rates for the 10 most common and fatal cancers in 56 African countries from 5 different African regions (North, West, East, Central, and South) over 16-years (2002–2018). Analysis is performed by gender, by Human Development Index, and by the number of available medical devices. The data were analyzed by region, cancer type (and for some cancer types, again by gender), measures of socioeconomic status, and availability of medical technology. Data are available in PaysdAfrique.xlsx and regionAfrique.xlsx. The cancer profile is established in GLOBOCAN using the best available data sources (on cancer incidence and fatality) in a given country; the validity of the national estimates depends on the degree of representativeness and the quality of the information sources. These data are produced by population-based cancer registries (PBCRs). According to the most recent data compiled in Volume XI of the IARC Report on Cancer Incidence in Five Continents, about 15% of the world population was covered by high quality cancer registries by 2010, with lower registration rates in South America (7.5% of the total population), Asia (6.5%) and Africa (13% when considering additional data from the sub-Saharan African registries of the African Cancer Registry Network (afcrn.org)). In Africa, these registries are the only source of relatively unbiased information. To enable the reproducibility of our work, all scripts and material used for the data extraction and analysis …