https://github.com/cjabradshaw/africachildhealth
Data and R code to reproduce analyses examining socio-economic and environmental determinants of child-health outcomes among African nations
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
✓DOI references
Found 3 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.4%) to scientific vocabulary
Keywords
Repository
Data and R code to reproduce analyses examining socio-economic and environmental determinants of child-health outcomes among African nations
Basic Info
Statistics
- Stars: 2
- Watchers: 3
- Forks: 2
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Africa Child Health

Data and R code to reproduce analyses examining socio-economic and environmental determinants of child-health outcomes among African nations
Accompanies the paper: Bradshaw, CJA, SP Otto, AA Annamalay, S Heft-Neal, Z Wagner, PN Le Souëf. 2019. Testing the socio-economic and environmental determinants of better child-health outcomes in Africa: a cross-sectional study among nations. BMJ Open 9: e029968. doi:10.1136/bmjopen-2019-029968
ABSTRACT
Objective
We sought to test hypotheses regarding the principal correlates of child-health performance among African nations based on previous evidence collected at finer spatial scales.
Design
Retrospective, cross-sectional study.
Setting
All countries in Africa, excluding small-island nations.
Primary and secondary outcome measures
We defined a composite child-health indicator for each country comprising the incidence of stunting, deaths from respiratory disease, deaths from diarrhoeal disease, deaths from other infectious disease and deaths from injuries for children aged under 5 years. We also compiled national-level data for Africa to test the effects of countrylevel water quality, air pollution, food supply, breast feeding, environmental performance, per capita wealth, healthcare investment, population density and governance quality on the child-health indicator.
Results
Across nations, child health was lowest when water quality, improved sanitation, air quality and environmental performance were lowest. There was also an important decline in child health as household size (a proxy for population density) increased. The remaining variables had only weak effects, but in the directions we hypothesised.
Conclusions
These results emphasise the importance of continued investment in clean water and sanitation services, measures to improve air quality and efforts to restrict further environmental degradation, to promote the UN’s Sustainable Development Goal 3 target to ‘... end preventable deaths of newborns and children under 5’ and Goal 6 to ‘... ensure access to water and sanitation for all’ by 2030.
Contact: Professor Corey J. A. Bradshaw
Global Ecology
e-mail
03 September 2019
Main R script
AfricaCountryChildHealthGithub.R
Data files
The following files can be found in the data subdirectory:
- 'AFR.threat.csv'
- 'Africa.regions.csv'
- 'arableland.csv'
- 'cc2to3.csv'
- 'childhealthmetrics.csv'
- 'cntry.num.code.csv'
- 'continent.country.csv'
- 'country.centroids.csv'
- 'countrylevelpm25.rds'
- 'cropland.csv'
- 'EFconsPC12.csv'
- 'exclbreastfedAFR.csv'
- 'exportvalue.csv'
- 'faocountrycode.csv'
- 'foodsupply.csv'
- 'forestloss.csv'
- 'freshwrem.csv'
- 'gdppcppp.csv'
- 'hc.exp.USDpc.csv'
- 'HMEDAHDATABASE19902015_Y2016M04D25.CSV.zip'
- 'household size Africa.csv'
- 'imp.san.pcaccess.csv'
- 'imp.water.pcaccess.csv'
- 'land.area.csv'
- 'landprot.csv'
- 'life.exp.birth.fem.csv'
- 'life.exp.birth.mal.csv'
- 'livestock.csv'
- 'megafaunaconserv.csv'
- 'overallgovernance.csv'
- 'pcemiss.csv'
- 'pcu5stunt.csv'
- 'pop.yr.csv'
- 'povgap.csv'
- 'PPP11.15.csv'
- 'respiratorydisease.csv'
- 'WHO.cntry.csv'
Note, you must unzip the file 'IHMEDAHDATABASE19902015_Y2016M04D25.CSV.zip' within the same directory to access the .csv file with the R script
Required R libraries
bootbiomod2semsemPlotsemGOFdismogbmapegeospherencfModelMetricspgirmesslme4
Source files
newlmerAIC_tables3.rr.squared.R
Owner
- Name: Corey Bradshaw
- Login: cjabradshaw
- Kind: user
- Location: Adelaide, South Australia
- Company: Flinders University
- Website: http://globalecologyflinders.com
- Twitter: conservbytes
- Repositories: 15
- Profile: https://github.com/cjabradshaw
Matthew Flinders Professor of Global Ecology @GlobalEcologyFlinders @CABAH
GitHub Events
Total
- Push event: 8
Last Year
- Push event: 8
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Corey Bradshaw | c****w@g****m | 95 |
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0


