Sustainable development goal 3: is Ghana on track with neonatal mortality?
Gespeichert in:
| Titel: | Sustainable development goal 3: is Ghana on track with neonatal mortality? |
|---|---|
| Autoren: | Adama ZK; University of Ghana, Accra, Ghana. adamazakariya39@gmail.com., Abuga S; University of Cape Coast, Cape Coast, Ghana., Opoku S; University of Cape Coast, Cape Coast, Ghana., Welbeck J; University of Cape Coast, Cape Coast, Ghana. |
| Quelle: | BMC public health [BMC Public Health] 2025 Nov 24; Vol. 25 (1), pp. 4104. Date of Electronic Publication: 2025 Nov 24. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2001- |
| MeSH-Schlagworte: | Infant Mortality*/trends , Sustainable Development*/trends, Ghana/epidemiology ; Humans ; Infant, Newborn ; Infant ; Goals ; Female |
| Abstract: | Competing Interests: Declarations. Ethics approval and consent to participate: No ethics approval was necessary as this study relies on publicly accessible secondary data. Consent for publication: Not Applicable Competing interests: The authors declare no competing interests. Despite progress in child health, deaths occurring in the neonatal period remain a major contributor to under-five mortality in Ghana, posing a significant public health challenge. SDG 3.2 aims to reduce neonatal mortality to at least as low as 12 deaths per 1,000 live births by 2030. This study investigates the trends and progress of neonatal mortality rates in Ghana from 1960 to 2022, with an emphasis on assessing the country's advancement toward achieving Sustainable Development Goal (SDG) 3.2. Data were obtained from the World Development Indicators (WDI) and processed using Microsoft Excel and analyzed using R statistical software. The AutoRegressive Integrated Moving Average (ARIMA) time series model was employed as the statistical model for this study. The results show a consistent decline in neonatal mortality over the study period. In 2023, the rate was estimated at 20.59 deaths per 1,000 live births, and it is projected to decline further to 17.60 deaths per 1,000 live births by 2030. While this downward trend is encouraging, the 95% confidence intervals show considerable uncertainty: the 2030 upper bound remains well above the SDG 3.2 target, while the lower bound is only marginally above it. This indicates that Ghana may come close to the goal under favorable conditions, but is not assured of meeting it unless the rate of progress is significantly accelerated. These findings offer critical insights for policymakers and stakeholders, emphasizing the need for intensified efforts and strategic health interventions to achieve meaningful reductions in neonatal mortality by 2030. (© 2025. The Author(s).) |
| References: | BMC Public Health. 2021 Mar 12;21(1):492. (PMID: 33706743) Glob Health Action. 2016 Aug 23;9:31907. (PMID: 27558221) Semin Perinatol. 2015 Aug;39(5):326-37. (PMID: 26249104) BMC Public Health. 2022 Feb 19;22(1):360. (PMID: 35183143) Trop Med Infect Dis. 2022 Apr 21;7(5):. (PMID: 35622691) Bull World Health Organ. 2015 Jan 1;93(1):19-28. (PMID: 25558104) JAMA Pediatr. 2022 Aug 1;176(8):787-796. (PMID: 35639401) Infect Drug Resist. 2019 Jul 26;12:2311-2322. (PMID: 31440067) Chaos Solitons Fractals. 2020 Jun;135:109850. (PMID: 32355424) PLoS One. 2018 Mar 27;13(3):e0194889. (PMID: 29584784) Glob Health Action. 2021 Jan 1;14(1):1938871. (PMID: 34308793) Matern Child Health J. 2014 Feb;18(2):344-65. (PMID: 23975451) Lancet Glob Health. 2019 Jun;7(6):e710-e720. (PMID: 31097275) Arch Dis Child. 2015 Feb;100 Suppl 1:S13-8. (PMID: 25613960) Rev Panam Salud Publica. 2024 Jan 22;48:e4. (PMID: 38259254) BMC Public Health. 2025 May 1;25(1):1607. (PMID: 40312307) PLoS Med. 2011 Aug;8(8):e1001080. (PMID: 21918640) Int J Gynaecol Obstet. 2012 Oct;119 Suppl 1:S13-7. (PMID: 22883919) Int J Epidemiol. 2006 Jun;35(3):706-18. (PMID: 16556647) BMC Med Res Methodol. 2020 Dec 3;20(1):292. (PMID: 33267817) |
| Contributed Indexing: | Keywords: ARIMA model; Ghana; Neonatal mortality; Public health; Sustainable Development Goals (SDG) |
| Entry Date(s): | Date Created: 20251125 Date Completed: 20251125 Latest Revision: 20251128 |
| Update Code: | 20251128 |
| PubMed Central ID: | PMC12642074 |
| DOI: | 10.1186/s12889-025-25461-7 |
| PMID: | 41286706 |
| Datenbank: | MEDLINE |
Full Text 
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Competing Interests: Declarations. Ethics approval and consent to participate: No ethics approval was necessary as this study relies on publicly accessible secondary data. Consent for publication: Not Applicable Competing interests: The authors declare no competing interests.<br />Despite progress in child health, deaths occurring in the neonatal period remain a major contributor to under-five mortality in Ghana, posing a significant public health challenge. SDG 3.2 aims to reduce neonatal mortality to at least as low as 12 deaths per 1,000 live births by 2030. This study investigates the trends and progress of neonatal mortality rates in Ghana from 1960 to 2022, with an emphasis on assessing the country's advancement toward achieving Sustainable Development Goal (SDG) 3.2. Data were obtained from the World Development Indicators (WDI) and processed using Microsoft Excel and analyzed using R statistical software. The AutoRegressive Integrated Moving Average (ARIMA) time series model was employed as the statistical model for this study. The results show a consistent decline in neonatal mortality over the study period. In 2023, the rate was estimated at 20.59 deaths per 1,000 live births, and it is projected to decline further to 17.60 deaths per 1,000 live births by 2030. While this downward trend is encouraging, the 95% confidence intervals show considerable uncertainty: the 2030 upper bound remains well above the SDG 3.2 target, while the lower bound is only marginally above it. This indicates that Ghana may come close to the goal under favorable conditions, but is not assured of meeting it unless the rate of progress is significantly accelerated. These findings offer critical insights for policymakers and stakeholders, emphasizing the need for intensified efforts and strategic health interventions to achieve meaningful reductions in neonatal mortality by 2030.<br /> (© 2025. The Author(s).) |
|---|---|
| ISSN: | 1471-2458 |
| DOI: | 10.1186/s12889-025-25461-7 |