scholarly journals The Heterogeneous Effects of Conflict on Education: A Spatial Analysis in Sub-Saharan Africa

2020 ◽  
Author(s):  
Kerstin Unfried ◽  
Krisztina Kis-Katos
Author(s):  
Samuel Manda ◽  
Ndamonaonghenda Haushona ◽  
Robert Bergquist

Spatial analysis has become an increasingly used analytic approach to describe and analyze spatial characteristics of disease burden, but the depth and coverage of its usage for health surveys data in Sub-Saharan Africa are not well known. The objective of this scoping review was to conduct an evaluation of studies using spatial statistics approaches for national health survey data in the SSA region. An organized literature search for studies related to spatial statistics and national health surveys was conducted through PMC, PubMed/Medline, Scopus, NLM Catalog, and Science Direct electronic databases. Of the 4,193 unique articles identified, 153 were included in the final review. Spatial smoothing and prediction methods were predominant (n = 108), followed by spatial description aggregation (n = 25), and spatial autocorrelation and clustering (n = 19). Bayesian statistics methods and lattice data modelling were predominant (n = 108). Most studies focused on malaria and fever (n = 47) followed by health services coverage (n = 38). Only fifteen studies employed nonstandard spatial analyses (e.g., spatial model assessment, joint spatial modelling, accounting for survey design). We recommend that for future spatial analysis using health survey data in the SSA region, there must be an improve recognition and awareness of the potential dangers of a naïve application of spatial statistical methods. We also recommend a wide range of applications using big health data and the future of data science for health systems to monitor and evaluate impacts that are not well understood at local levels.


2016 ◽  
Vol 4 (12) ◽  
pp. e936-e945 ◽  
Author(s):  
Marshall Burke ◽  
Sam Heft-Neal ◽  
Eran Bendavid

Author(s):  
Leander Heldring ◽  
James A. Robinson

In this article, we evaluate the impact of colonialism on development in sub-Saharan Africa. In the world context, colonialism had very heterogeneous effects, operating through many mechanisms—sometimes encouraging development, sometimes retarding it. In the African case, however, this heterogeneity is muted, making an assessment of the average effect more interesting. To draw conclusions, it is necessary to know not just what actually happened to development during the colonial period but also what might have happened without colonialism and its legacy. In light of plausible counterfactuals, colonialism probably had a uniformly negative effect on development in Africa. To develop this claim, we distinguish between three sorts of colonies, each with a distinct performance within the cultural period, different counterfactuals, and varied legacies.


2018 ◽  
Vol 6 (3) ◽  
pp. e342-e350 ◽  
Author(s):  
Paul O Ouma ◽  
Joseph Maina ◽  
Pamela N Thuranira ◽  
Peter M Macharia ◽  
Victor A Alegana ◽  
...  

Author(s):  
Remi Jedwab ◽  
Adam Storeygard

Abstract Previous work on transportation investments has focused on average impacts in high- and middle-income countries. We estimate average and heterogeneous effects in a poor continent, Africa, using roads and cities data spanning 50 years in 39 countries. Using changes in market access due to distant road construction as a source of exogenous variation, we estimate a 30-year elasticity of city population with respect to market access of about 0.08–0.13. Our results suggest that this elasticity is stronger for small and remote cities, and weaker in politically favored and agriculturally suitable areas. Access to foreign cities besides international ports matters little. Additional evidence points suggestively to rural-urban migration as the primary source of this population increase, though we cannot fully rule out natural increase or reallocation across cities.


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