Disparities in Antenatal Care Visits between Urban and Rural Ethiopian Women.

Background: Utilizing antenatal care is one of the best ways to identify issues that are already present or could arise throughout pregnancy. Despite increased efforts to expand health services and antenatal care utilization, less is known regarding antenatal care disparities across different population segments. Therefore, the purpose of this study was to assess the degree of discrepancies between urban and rural Ethiopian pregnant women's use of antenatal care. Methods: A total sample of 3927 women who gave birth to living children between 2014 and 2019 was included in the study from the 2019 Ethiopia Mini Demographic and Health Survey. Negative binomial Poisson's regression was adopted to analyze the data. Results: The majority of pregnant women (73.8%) attend at least one antenatal care. Pregnant women in rural areas visited fewer number of antenatal care (68.36%) than those in urban areas (90.1%). Women with age range of 30-40 (IRR: 4.56, 95% CI: 1.07-19.34), women with attending incomplete primary education (IRR: 0.05, 95% CI: 0.02-0.12), women with attending complete primary education (IRR: 0.17, 95% CI: 0.07-0.42), women from middle-income households (IRR: 0.12, 95% CI: 0.06-0.24), women from richer household (IRR: 0.26, 95% CI: 0.14,0.5), women from the richest household (IRR: 0.45, 95% CI: 0.24-0.86), and pregnant women from rural areas (IRR: 0.615, 95%: 0.56-0.67) were observed to be linked with the frequency of antenatal care visits. Conclusion: In Ethiopia, three-fourths of pregnant women attend at least one antenatal care. Place of residence, educational attainment, age in five years' group, and wealth index for urban/rural were related to the frequency of antenatal care visits.

Spatiotemporal Distribution of Tuberculosis in the Oromia Region of Ethiopia: A Hotspot Analysis.

Tuberculosis (TB) is a major public health concern in low- and middle-income countries including Ethiopia. This study aimed to assess the spatiotemporal distribution of TB and identify TB risk factors in Ethiopia's Oromia region. Descriptive and spatiotemporal analyses were conducted. Bayesian spatiotemporal modeling was used to identify covariates that accounted for variability in TB and its spatiotemporal distribution. A total of 206,278 new pulmonary TB cases were reported in the Oromia region between 2018 and 2022, with the lowest annual TB case notification (96.93 per 100,000 population) reported in 2020 (i.e., during the COVID-19 pandemic) and the highest TB case notification (106.19 per 100,000 population) reported in 2019. Substantial spatiotemporal variations in the distribution of notified TB case notifications were observed at zonal and district levels with most of the hotspot areas detected in the northern and southern parts of the region. The spatiotemporal distribution of notified TB incidence was positively associated with different ecological variables including temperature (ß = 0.142; 95% credible interval (CrI): 0.070, 0.215), wind speed (ß = -0.140; 95% CrI: -0.212, -0.068), health service coverage (ß = 0.426; 95% CrI: 0.347, 0.505), and population density (ß = 0.491; 95% CrI: 0.390, 0.594). The findings of this study indicated that preventive measures considering socio-demographic and health system factors can be targeted to high-risk areas for effective control of TB in the Oromia region. Further studies are needed to develop effective strategies for reducing the burden of TB in hotspot areas.