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

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.

Prevalence and Determinants of Household Access to Improved Latrine Utilization in Somalia: Health Demographic Survey (SHDS) 2020.

The aim of this research paper is to determine the prevalence of improved household latrine utilization and its determinants in Somalia, using the Somali Health Demographic Survey (SHDS) 2020 dataset. Limited sanitation is a major global problem mainly for the poor and disadvantaged. According to the SHDS 2020 report, around 22.3% of households in Somalia utilize unimproved toilet facilities. In this study, a secondary data analysis was carried out on the SHDS 2020 dataset. The study included 15 826 households weighted for representativeness. Four models were constructed after identifying relevant factors for the outcome variable. The first model, null (empty), had no independent variables. The second model assessed the effect of individual-level determinants on the outcome. The third model determined how community-level variables influenced on the response variable. Finally, a multilevel multivariable logistic regression model examined the combined impact of individual- and community-level factors on the outcome variable. The prevalence of improved latrine utilization in Somalia was (41.1%). The factors: educational status (AOR: 1.899 (1.598, 2.258)), wealth index (AOR: 7.815 (6.990, 8.736)), urban residence (AOR: 2.467 (2.262, 2.690)), households living in various regions/states, including Hirshabelle, Galmudug, Southwest, Puntland, Jubaland, and Somaliland, indicate statistically significant findings and were more likely to utilize improved latrines (AOR: 0.259 (0.229, 0.294)), (AOR: 0.223 (0.196, 0.254)), AOR: 0.196 (0.168, 0.230)), (AOR: 0.220 (0.194, 0.251)), (AOR: 0.204 (0.180, 0.232)), (AOR: 0.086 (0.077, 0.095)). Hirshabelle had a 0.259 times more likelihood of improved latrine utilization than the rest of the regions/states, (AOR: 0.259 (0.229, 0.294)). The prevalence of improved latrine utilization was quite low in Somalia. Higher wealth index, living in more urbanized areas, and the household head's educational status were all significant predictors of improved latrine utilization. The finding implies a need to increase household's access to latrine facilities and improve latrine utilization, particularly for rural households in the country.

Predicting the short and long term effects of food price inflation, armed conflicts, and climate variability on global acute malnutrition in Somalia.

BACKGROUND: Malnutrition poses a substantial challenge in Somalia, impacting approximately 1.8 million children. This critical issue is exacerbated by a multifaceted interplay of factors. Consequently, this study seeks to examine the long-term and short-term effects of armed conflicts, food price inflation, and climate variability on global acute malnutrition in Somalia. METHODS: The study utilized secondary data spanning from January 2015 to December 2022, sourced from relevant databases. Two distinct analytical approaches were employed to comprehensively investigate the dynamics of global acute malnutrition in Somalia. Firstly, dynamic autoregressive distributed lag (ARDL) simulations were applied, allowing for a nuanced understanding of the short and long-term effects of armed conflicts, food price inflation, and climate variability on malnutrition. Additionally, the study employed kernel-based regularized least squares, a sophisticated statistical technique, to further enhance the robustness of the findings. The analysis was conducted using STATA version 17. RESULTS: In the short run, armed conflicts and food price inflation exhibit positive associations with global acute malnutrition, particularly in conflict-prone areas and during inflationary periods. Moreover, climatic variables, specifically temperature and rainfall, demonstrate positive associations. It is important to note that temperature lacks a statistically significant relationship with global acute malnutrition in the short run. In the long run, armed conflicts and food price inflation maintain persistent impacts on global acute malnutrition, as confirmed by the dynamic ARDL simulations model. Furthermore, both temperature and rainfall continue to show positive associations with global acute malnutrition, but it is worth noting that temperature still exhibits a non-significant relationship. The results from kernel-based regularized least squares were consistent, further enhancing the robustness of the findings. CONCLUSIONS: Increased armed conflicts, food price inflation, temperature, and rainfall were associated with increased global acute malnutrition. Strategies such as stabilizing conflict-prone regions, diplomatic interventions, and peace-building initiatives are crucial, along with measures to control food price inflation. Implementing climate adaptation strategies is vital to counter temperature changes and fluctuating rainfall patterns, emphasizing the need for resilience-building. Policymakers and humanitarian organizations can leverage these insights to design targeted interventions, focusing on conflict resolution, food security, and climate resilience to enhance Somalia's overall nutritional well-being.

Prevalence and factors associated with ever had road traffic accidents among drivers in Hargeisa city, Somaliland, 2022.

Road traffic accidents (RTAs) are a major cause of morbidity in Somaliland. This study aimed to determine the prevalence and factors associated with traffic-related incidents in Hargeisa city. A cross-sectional study was conducted between January and March 2022, utilizing a mixed approach involving quantitative and qualitative research approaches. Key informant interviews were conducted with 15 government officials, and structured questionnaires were administered to 387 drivers. Cluster sampling and purposive sampling were employed to select drivers and government officials, respectively. Data collection was performed using the Kobo Collect application, followed by cleaning and analysis using IBM SPSS version 25. Descriptive statistics, binary logistic regression, and chi-square tests were utilized for data analysis. The findings revealed an increasing trend of RTAs in Somaliland over the past 11 years (2011-2021). Moreover, the prevalence of RTAs in the past two years alone was determined to be 28.17% (CI: 23.67, 32.63). Factors significantly associated with RTAs in the research area included the type of vehicle, particularly Minibus (AOR = 3.249, CI: 1.022, 10.322) and Vitz (AOR = 2.325, CI: 1.092, 5.494), encountering aggressive behavior from other drivers (AOR = 1.790, CI: 1.013, 3.162), vehicles less than 4 years (AOR = 0.446, CI: 0.258, 0.771), traffic law violations (AOR = 2.726, CI: 1.296, 5.735), and the presence of traffic campaigns (AOR = 0.465, CI: 0.236, 0.917). The study recommends increasing awareness of RTAs among drivers and pedestrians, regular vehicle maintenance checks, enforcement of traffic laws, and increased police presence in road management to reduce fatalities associated with RTAs.