Agenda 2030 for sustainable development in Portuguese Speaking Countries, indicators inequalities

Abstract Background Achieving the SDG Sustainable Development goals represents a major global challenge. The Community of Portuguese Speaking Countries (CPLP) is made up of countries: Angola, Cape Verde, Guinea-Bissau, Equatorial Guinea, Mozambique, São Tomé and Príncipe, Brazil, Portugal, and East Timor. Studies on SDG indicators are little studied among these countries. The study analyzes SDG health indicators in the Community of Portuguese Speaking Countries (CPLP) and their projections for 2030, and investigates the correlation between the countries’ level of development and the performance of these indicators. Methods Ecological epidemiological study. Estimates from the Global Burden of Disease (GBD) study between 1990 and 2021 were analyzed, referring to fifteen indicators: universal health coverage, sanitation, smoking, maternal and child health, vaccination coverage and communicable diseases. The GBD study generated projections by calculating the annual change since 1990 for each country and year and then calculating the weighted annualized rate of change. The correlation between the Sociodemographic Index (SDI) and the SDG indicators was investigated using the Spearman test, at a significance level of 5%. Results The best performances of the analyzed indicators were seen for Portugal, followed by Brazil, Cape Verde and São Tomé and Príncipe. In other countries, high rates of infectious diseases, maternal and childhood mortality, malnutrition, low vaccination coverage and sanitation were observed. There was a negative correlation between the SDI and the indicators of childhood mortality rate (R=-0.82; p < 0.05), malnutrition (R=-0.7; p < 0.05), incidence of tuberculosis (R =-0.73; p < 0.05) and positive between SDI and sewage coverage (R=-0.83; p < 0.05). Conclusions The CPLP presents internal differences regarding the health indicators analyzed, making it essential to advance cooperation between countries to achieve the SDG targets in 2030. Key messages • There are great inequalities between SDG indicators in Portuguese-speaking countries. • It is important to advance technical cooperation between countries to formulate solutions and leave no one behind.

Authors

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2024-10-28
DOI
https://doi.org/10.1093/eurpub/ckae144.2165
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agenda 2030 for sustainable development in Portuguese Speaking Countries, indicators inequalities

A Gomes da Silva, Mohsen Naghavi, Paulo Ferrinho, Filipe Malta dos Santos et al.
European Journal of Public Health
Regional Development and Policy
article

Agenda 2030 for sustainable development in Portuguese Speaking Countries, indicators inequalities

A Gomes da Silva, Mohsen Naghavi, Paulo Ferrinho, Filipe Malta dos Santos, Luísa Cardoso, Déborah Carvalho Malta, Guilherme Veloso, Fernando Passos Cupertino de Barros, Albano Vicente Lopes Ferreira, Antônio Luiz Pinho Ribeiro
article en

Abstract

Abstract Background Achieving the SDG Sustainable Development goals represents a major global challenge. The Community of Portuguese Speaking Countries (CPLP) is made up of countries: Angola, Cape Verde, Guinea-Bissau, Equatorial Guinea, Mozambique, São Tomé and Príncipe, Brazil, Portugal, and East Timor. Studies on SDG indicators are little studied among these countries. The study analyzes SDG health indicators in the Community of Portuguese Speaking Countries (CPLP) and their projections for 2030, and investigates the correlation between the countries’ level of development and the performance of these indicators. Methods Ecological epidemiological study. Estimates from the Global Burden of Disease (GBD) study between 1990 and 2021 were analyzed, referring to fifteen indicators: universal health coverage, sanitation, smoking, maternal and child health, vaccination coverage and communicable diseases. The GBD study generated projections by calculating the annual change since 1990 for each country and year and then calculating the weighted annualized rate of change. The correlation between the Sociodemographic Index (SDI) and the SDG indicators was investigated using the Spearman test, at a significance level of 5%. Results The best performances of the analyzed indicators were seen for Portugal, followed by Brazil, Cape Verde and São Tomé and Príncipe. In other countries, high rates of infectious diseases, maternal and childhood mortality, malnutrition, low vaccination coverage and sanitation were observed. There was a negative correlation between the SDI and the indicators of childhood mortality rate (R=-0.82; p < 0.05), malnutrition (R=-0.7; p < 0.05), incidence of tuberculosis (R =-0.73; p < 0.05) and positive between SDI and sewage coverage (R=-0.83; p < 0.05). Conclusions The CPLP presents internal differences regarding the health indicators analyzed, making it essential to advance cooperation between countries to achieve the SDG targets in 2030. Key messages • There are great inequalities between SDG indicators in Portuguese-speaking countries. • It is important to advance technical cooperation between countries to formulate solutions and leave no one behind.

European Journal of Public HealthVol. 34(Supplement_3)
Universidade Federal de Minas Gerais (BR), Universidade Federal Fluminense (BR), Institute for Health Metrics and Evaluation (US), Faculdade de Ciências Médicas de Minas Gerais (BR), Public Health Institute (US), Universidade Katyavala Bwila (AO), Instituto de Saúde (BR), Universidade Federal de Goiás (BR)
Openalex Percentile: Top 70%
Regional Development and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.