ArticleScientific data2017
High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100.
Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Projected population exposure to dangerous heat stress around Lake Victoria under a high-end climate change scenario.Environmental research letters : ERL [Web site] · 2025Article
- Small-area population forecasting in a segregated city using density-functional fluctuation theory.Journal of computational social science · 2024Article
- Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways.Scientific data · 2022Article
- Drought-related cholera outbreaks in Africa and the implications for climate change: a narrative review.Pathogens and global health · 2022Review
- High-resolution global population projections dataset developed with CMIP6 RCP and SSP scenarios for year 2010-2100.Data in brief · 2022Article
- Beyond livestock carrying capacity in the Sahelian and Sudanian zones of West Africa.Scientific reports · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For its fifth assessment report, the Intergovernmental Panel on Climate Change divided future scenario projections (2005-2100) into two groups: Socio-Economic Pathways (SSPs) and Representative Concentration Pathways (RCPs). Each SSP has country-level urban and rural population projections, while the RCPs are based on radiative forcing caused by greenhouse gases, aerosols and associated land-use change. In order for these projections to be applicable in earth system models, SSP and RCP population projections must be at the same spatial scale. Thus, a gridded population dataset that takes into account both RCP-based urban fractions and SSP-based population projection is needed. To support this need, an annual (2000-2100) high resolution (approximately 1km at the equator) gridded population dataset conforming to both RCPs (urban land use) and SSPs (population) country level scenario data were created.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.