Geographical disparities and determinants of infant mortality in Ethiopia: mapping and spatial analysis using EDHS data

Kefale, Berhanu Awoke; Woya, Ashenafi Abate; Tekile, Abay Kassa; Bantie, Getasew Mulat; Wubetu, Gizachew Yismaw

doi:10.1186/s12887-023-04043-9

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Count regression models have been applied in public health research in Ethiopia to address health disparities. Studies have used Poisson logit hurdle models to identify factors associated with perinatal mortality (Geta et al, 2023;Kefale et al, 2023). These models have been used to analyze count data and accommodate excessive zero counts, which are common in perinatal mortality research.…”

Section: Introductionmentioning

confidence: 99%

Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models

Chafamo,

Muniswamy,

Punyavathi

2024

Preprint

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Objectives To investigates the effect of WASH components on under 5 children mortality and Compare the performance of count advanced count regression models. Design In this study, data on Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia participating in the Ethiopian Demographic and Health survey conducted at 2019. The cross-sectional study design was used to study the Demographic and Health data from 11 different regions of Ethiopia. R programming has been used to analyse descriptive and inferential statistics. The baseline Poisson regression model exhibited overdispersion, leading to the exploration of various count regression models. The Negative Binomial regression model emerged as the best fit for the data, displaying low Akaike Information Criterion (AI) values. Setting Women of reproductive Age 15-49 with Under-Five children were interviewed. Participants A total of 5753 women of reproductive Age 15-49 with Under-Five children were interviewed. Primary Outcome Measure The number of under-5 children death, that is count variable. Results The study reveals Significant factors influencing under 5 children's mortality were identified, including rural residence, inadequate toilet facilities, reliance on unsafe water sources, household access to radios, and household composition. Conclusion Children living in rural areas faced a significantly higher risk of mortality compared to urban counterparts. Furthermore, households lacking proper sanitation facilities or using unsafe water sources exhibited elevated mortality rates among under-5-year-olds. Conversely, households with radios showed a lower risk of under-5-year-old child deaths. The number of children in a household under the age of five and female-headed households were associated with lower mortality rates.

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Section: Introductionmentioning

confidence: 99%

Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models

Chafamo,

Muniswamy,

Punyavathi

2024

Preprint

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The risk factors of infant mortality in Somalia: evidence from the 2018/2019 Somali health & demographic survey

Ali,

Mohamed,

Ismail

et al. 2024

BMC Pediatr

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Background Globally, infant mortality is one of the major public health threats, especially in low-income countries. The infant mortality rate of Somalia stands at 73 deaths per 1000 live births, which is one of the highest infant death rates in the region as well as in the world. Therefore, the aim of this study was to ascertain the risk factors of infant mortality in Somalia using national representative data. Method In this study, data from the Somali Health and Demographic Survey (SHDS), conducted for the first time in Somalia in 2018/2019 and released in 2020, were utilized. The analysis of the data involved employing the Chi-square test as a bivariate analysis. Furthermore, a multivariate Cox proportional hazard model was applied to accommodate potential confounders that act as risk factors for infant death. Results The study found that infant mortality was highest among male babies, multiple births, and those babies who live in rural areas, respectively, as compared to their counterparts. Those mothers who delivered babies with small birth size and belonged to a poor wealth index experienced higher infant mortality than those mothers who delivered babies with average size and belonged to a middle or rich wealth index. Survival analysis indicated that mothers who did use ANC services (HR = 0.740; 95% CI = 0.618–0.832), sex of the baby (HR = 0.661; 95% CI = 0.484–0.965), duration of pregnancy (HR = 0.770; 95% CI = 0.469–0.944), multiple births (HR = 1.369; 1.142–1.910) and place of residence (HR = 1.650; 95% CI = 1.451–2.150) were found to be statistically significantly related to infant death. Conclusion The study investigated the risk factors associated with infant mortality by analyzing data from the first Somali Health and Demographic Survey (SHDS), which included a representative sample of the country’s population. Place of residence, gestational duration, infant’s gender, antenatal care visits, and multiple births were identified as determinants of infant mortality. Given that infant mortality poses a significant public health concern, particularly in crisis-affected countries like Somalia, intervention programs should prioritize the provision of antenatal care services, particularly for first-time mothers. Moreover, these programs should place greater emphasis on educating women about the importance of receiving antenatal care and family planning services, in order to enhance their awareness of these vital health services and their positive impact on infant survival rates.

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State of the Art on the Contributions and Use of Geographic Information Systems (GIS) in Epidemiology in Morocco

Haisoufi,

Bouaiti

2024

TOPHJ

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Background The Geographic Information System (GIS) plays a significant role in the healthcare information system. The use of GIS as an epidemiological research tool is very little known in Morocco. According to the Moroccan Ministry of Health's Health Plan for 2025, axis 23 aims to complete the deployment of the decision support information system through the implementation of the geographic information system with the goal of improving governance and optimizing resource allocation. This creates constraints in achieving the design of an appropriate GIS for modeling pathologies using remote sensing and spatial statistical methods. The current work aims to understand GIS and its applications in epidemiology, with a focus on the state of scientific knowledge related to GIS in epidemiological research. Methods A state-of-the-art review of the various uses of GIS in epidemiological research was conducted using several university databases, such as PubMed and Scopus, recent articles, and certain reference books, focusing on the following keywords: “utilization,” “GIS,” and “epidemiology,” as well as their synonyms identified by MeSH. Results The majority of GIS research applied to epidemiology primarily involves making observations using GIS, which are then incorporated into action plans to promote population health. Therefore, it is important to break down the aspects of GIS (Geographic Information System) usage in epidemiology into four components. These include epidemiological surveillance, determining primary healthcare needs, healthcare planning, and healthcare quality. Conclusion These results clearly demonstrate the significant contribution of GIS to the improvement of public health. However, there is a need for positive action regarding the integration of this system, especially in developing countries.

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Geographical disparities and determinants of infant mortality in Ethiopia: mapping and spatial analysis using EDHS data

Cited by 3 publications

References 35 publications

Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models

Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models

The risk factors of infant mortality in Somalia: evidence from the 2018/2019 Somali health & demographic survey

State of the Art on the Contributions and Use of Geographic Information Systems (GIS) in Epidemiology in Morocco

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