Background: Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. Methods: Medical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model’s estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant. Results: Of the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97–10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80–63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34–6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09–4.76, in 5 min AOR = 2.07, 95% CI, 1.02–4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59–9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11–0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study. Conclusions: Low birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths.

Objective: To explore the factors associated with antenatal care (ANC) visits. Design: A secondary data analysis from cross-sectional studies was conducted. Setting: Sub-Saharan Africa. Participants: 56 002 women aged 15–49 years in Ghana (3224), Kenya (10 981), Malawi (9541), Namibia (2286), Rwanda (4416), Senegal (6552), Tanzania (5536), Uganda (7979) and Zambia (5487) were analysed. Outcomes: 4 ⁺ ANC visits. Results: Overall, 55.52% (95% CI: 55.11% to 55.93%) of women made 4 ⁺ ANC visits. The highest 4 ⁺ ANC visits were in Ghana (85.6%) and Namibia (78.9%), and the lowest were in Senegal (45.3%) and Rwanda (44.5%). Young women 15–19 years had the lowest uptake of 4 ⁺ ANC visits. Multivariable analysis indicated that the odds of 4 ⁺ ANC visits were 14% lower among women from rural areas compared with those living in towns (adjusted OR (AOR) 0.86; 95% CI: 0.81 to 0.91). This difference was significant in Kenya, Malawi, Senegal and Zambia. However, in Zambia, the odds of 4 ⁺ ANC visits were 48% higher (AOR 1.48; 95% CI: 1.2 to 1.82) among women from rural compared with urban areas. Women with higher educational level had more than twofold higher odds of 4 ⁺ ANC visits in seven of the nine countries, and was significant in Kenya, Malawi, Rwanda and Zambia. Compared with the poorest household wealth category, odds of 4 ⁺ ANC visits increased by 12%, 18%, 32% and 41% for every 20% variation on the wealth quantile. Women in their first-time pregnancy had higher odds of 4 ⁺ ANC visits compared with others across all countries, and women who had access to media at least once a week had a 22% higher probability of 4 ⁺ ANC visits than women who had no access to media (AOR 1.22, 95% CI: 1.15 to 1.29). Conclusion: The number of ANC visits was considered to be inadequate with substantial variation among the studied countries. Comprehensive interventions on scaling uptake of ANC are needed among the low-performing countries. Particular attention should be given to women of low economic status and from rural areas.

Dental caries is one of the most prevalent diseases of childhood in developing countries. However, there is a paucity of epidemiological data on the prevalence and associated factors of dental caries in Eritrea. The objective of this study was to assess the prevalence and associated factors of dental caries among 12 years old school children in Eritrea. A school based cross sectional study was conducted among 225 twelve years old students in two selected schools. One school from randomly selected urban and rural subzones of the country were selected. WHO adopted questionnaire and a standard checklist were used to collect relevant data. To assess dental caries, two examiners were calibrated by a certified dentist and inter observer agreement was calculated using the Cohen’s Kappa statistic (0.82). All data analysis was done using SPSS version 20. The prevalence of dental caries was 78%, without significant difference between males (78%) and females (79%).The mean DMFT value was 2.50 (±2.21). The decayed component contributed 98.3% of the score as it had 2.44 (±1.2) share to the mean DMFT value. The first molar was the most affected tooth with a DMFT value of 1.55 (±1.36). The mean significant caries index score (SiC) was 4.97 (±1.9) which is higher than the upper limit of SiC value of 3 set by the WHO as a global average. More than half of the respondents had never visited a dentist and out of the students who had utilized a dental health facility, 82% of visits were due to dental pain while visits for regular checkups were cited by only 6.6% of the respondents. Dental caries was found to be a common public health problem among 12 years old Eritrean students. The prevalence of dental caries, mean DMFT and SiC scores were higher than the average score of other developing countries. Gaps in dental health service utilization, dental health practices and suboptimal water fluoride levels contribute to poor dental health among school children in Eritrea.

Breast cancer accounted for 1.03% of all deaths in 2014 in Eritrea. Yet the knowledge, attitude, and practice (KAP) of the population in general or the health personnel in the country in relation to the disease, remains unknown. Hence, this study was designed to assess the KAP regarding breast cancer among female nurses working in ten hospital wards in Asmara, Eritrea. This was a cross-sectional study conducted among 414 nurses. Descriptive statistics, t-test, and ANOVA were used to evaluate the KAP of the nurses. Nurses’ knowledge about the possible risk factors of breast cancer was low but the nurses knew the signs and symptoms of breast cancer since each sign or symptom was mentioned by > 50% of them. The practice of breast cancer screening, however, was low (only 30 and 11.3% practiced clinical breast examination and mammography respectively). Respondents’ family history of breast cancer, having breast problems, their professional level and unit where they worked were associated with the KAP of nurses about breast cancer. Training programs could help to increase the nurses’ knowledge about the risk factors of breast cancer and practice of breast cancer screening. This could also help to increase the knowledge of the public about breast cancer.

Background. Malaria risk stratification is essential to differentiate areas with distinct malaria intensity and seasonality patterns. The development of a simple prediction model to forecast malaria incidence by rainfall offers an opportunity for early detection of malaria epidemics. Objectives. To construct a national malaria stratification map, develop prediction models and forecast monthly malaria incidences based on rainfall data. Methods. Using monthly malaria incidence data from 2012 to 2016, the district level malaria stratification was constructed by nonhierarchical clustering. Cluster validity was examined by the maximum absolute coordinate change and analysis of variance (ANOVA) with a conservative post hoc test (Bonferroni) as the multiple comparison test. Autocorrelation and cross-correlation analyses were performed to detect the autocorrelation of malaria incidence and the lagged effect of rainfall on malaria incidence. The effect of rainfall on malaria incidence was assessed using seasonal autoregressive integrated moving average (SARIMA) models. Ljung–Box statistics for model diagnosis and stationary R-squared and Normalized Bayesian Information Criteria for model fit were used. Model validity was assessed by analyzing the observed and predicted incidences using the spearman correlation coefficient and paired samples t-test. Results. A four cluster map (high risk, moderate risk, low risk, and very low risk) was the most valid stratification system for the reported malaria incidence in Eritrea. Monthly incidences were influenced by incidence rates in the previous months. Monthly incidence of malaria in the constructed clusters was associated with 1, 2, 3, and 4 lagged months of rainfall. The constructed models had acceptable accuracy as 73.1%, 46.3%, 53.4%, and 50.7% of the variance in malaria transmission were explained by rainfall in the high-risk, moderate-risk, low-risk, and very low-risk clusters, respectively. Conclusion. Change in rainfall patterns affect malaria incidence in Eritrea. Using routine malaria case reports and rainfall data, malaria incidences can be forecasted with acceptable accuracy. Further research should consider a village or health facility level modeling of malaria incidence by including other climatic factors like temperature and relative humidity.