and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEWThe GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs).FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCEThe results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.

Background: The first month is the most crucial period for child survival. Neonatal mortality continues to remain high with little improvement over the years in Sub-Saharan Africa, including Ethiopia. This region shows the least progress in reducing neonatal mortality and continues to be a significant public health issue. In this study setting, the causes and predictors of neonatal death in the neonatal intensive care units are not well documented. Hence, this study aimed to determine the causes and predictors of neonatal mortality among infants admitted to neonatal intensive care units in eastern Ethiopia.Methods: A facility-based in prospective follow-up study was conducted among neonates admitted to neonatal intensive care units of public hospitals of eastern Ethiopia from November 1 to December 30, 2018. Data were collected using a pretested structured questionnaire and a follow-up checklist. The main outcomes and causes of death were set by pediatricians and medical residents. EpiData 3.1 and Statistical Package for Social Sciences Version 25 software were used for data entry and analysis, respectively. Multivariable logistic regression was used to identify the predictors of facility-based neonatal mortality.Results: The proportion of facility-based neonatal mortality was 20% (95% CI:16.7-23.8%). The causes of death were complications of preterm birth (28.58%), birth asphyxia (22.45%), neonatal infection (18.36%), meconium aspiration syndrome (9.18%), respiratory distress syndrome (7.14%), and congenital malformation (4.08%). Low birth weight, preterm births, length of stay of the neonatal intensive care unit, low 5 min APGAR score, hyperthermia, and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units of public hospitals in eastern Ethiopia. Conclusions:The proportion of facility-based neonatal deaths was unacceptably high. The main causes of death were preventable and treatable. Hence, improving the timing and quality of antenatal care is essential for early detection, anticipating high-risk newborns, and timely interventions. Furthermore, early initiation of feeding and better referral linkage to tertiary health facilities could lead to a reduction in neonatal death in this setting.

Introduction COVID-19 is a current health concern in the world. People applying the prevention methods of COVID-19 are vital determinants of curbing the spread of the coronavirus. This study aimed to assess the practices and associated factors of the COVID-19 preventive measures among Dire Dawa residents. Methods A community-based, cross-sectional mixed method was used. We conducted the study between June 15th and July 15th, 2020. The subjects of the study were selected by using systematic random sampling. We collected data through face-to-face and in-depth interviews. Both bivariate and multiple logistic regression were employed to determine the predictor variables with the practice of COVID-19 prevention measures. Thematic content analysis analyzed qualitative data. Results The practice of COVID-19 preventive measures was 40.7% (95% CI: 37–44.4%). Being female [AOR= 1.8; 95% CI: 1.17–2.72], married [AOR=2.75; 95% CI: 1.68–4.48], family income >10,000 Ethiopia birr [AOR=7.3; 95% CI: 3.8–13.9], having history of a chronic disease [AOR=3.46 (1.69, 7.08)], not chewing khat [AOR= 2.15; 95% CI: 1.1–4.2], had a good knowledge about COVID-19 [AOR=5.23; 95% CI: 3–9], and had a favorable attitude about COVID-19 [AOR=3.87; 95% CI: 2.4–6.14] were significantly associated with practice of COVID-19 preventive measures. The qualitative result revealed the communities are not willingly practicing prevention measures because of carelessness and ignorant of the consequences of COVID-19, and some communities believed that COVID-19 is not a real pandemic rather government uses it merely to gain political profit. Conclusion The proportion of practice of COVID-19 preventive measures was low. Sex, marital status, income, history of chronic disease, history of khat chewing, knowledge, and attitude about COVID-19 were associated factors with COVID-19 preventive practices. The communities were not practicing the COVID-19 prevention method because of poor knowledge and a negative attitude.

Background. A pregnancy is described unintended if it is either unwanted or mistimed. The former occurs when no child or no more children are desired, and the latter is when the conception occurs earlier than the desired time, but wanted later. Unwanted pregnancy causes a serious health, economic, and social problem to the woman and her family. In the study area, there is limited data on unintended pregnancy. Therefore, this study fills this gap by studying the magnitude of unintended pregnancy and its associated factors among pregnant women attending antenatal care in the study area. Methods. A facility-based cross-sectional study was done from 1 March to 1 April 2019, among 612 randomly selected pregnant women attending antenatal care at Bako Tibe district public health facility. The data were collected via interview using a structured and pretested questionnaire. They were entered into EpiData Version 3.1 and SPSS Version 23 for cleaning and analyses. The variables, which were significant at P≤0.2 in the bivariate logistic regression, were included in the multivariable analysis. The direction and strength of statistical association were measured by an odds ratio with 95% CI. A variable with a P value < 0.05 was considered a significantly associated factor with the outcome one. Results. In this study, the prevalence of unintended pregnancy was 33.3%, at 95% CI (29.8, 37.3). The factors that had significant association with unintended pregnancy were family size≥6 (AOR=8.0, 95% CI: 1.38–46.66), women who did not communicate about family planning with their husbands (AOR=2.8, 95% CI: 1.50–5.20), and parity≥5 (AOR=3.0, 95% CI: 1.34–6.8). Conclusion. About one-third of the pregnant women reported that their pregnancy was unintended. Parity, family size, and lack of spousal communication showed a significant association with the problem. To decrease the current level of unintended pregnancy in the area, the Bako Tibe District Health Bureau and the health workers should work harder to scale up spousal communication on family planning.

Introduction. Diabetes develops in 4% of all the pregnancies worldwide, and its prevalence ranges from 1 to 14%, and 7% are complicated and results in prenatal morbidity and mortality. The disease affects women and their babies during pregnancy, labor, and delivery. However, little is known about its prevalence, birth outcomes, and associated factors in the study setting. Method. A facility-based retrospective cross-sectional study was done on all deliveries attended from January 1, 2015, to December 31, 2017, to determine the prevalence of diabetes and birth outcome. The mothers who had complete data record were identified and consecutively reviewed. The data were entered in EpiData Version 4.2 and exported to SPSS Version 23.0 for analysis. Results. Of the 14039 women who gave birth during the study period, 2.6% of them had diabetes mellitus, and from reviewed data, 54.6% had gestational diabetes and 45.4% had pregestational diabetes. Out of the diabetic mothers, 57.8% delivered by cesarean section, 39.9% by spontaneous vaginal delivery, and 26% of the pregnancies ended up with pregnancy-induced hypertension. Regarding the fetal outcome, 17.9% were preterm delivery, 17.6% macrocosmic, 9.2% respiratory distress, 10.1% low birth weight, and 65% admitted to neonatal intensive care unit. Class I obesity and history of PIH were associated with adverse maternal outcomes at aOR = 95%CI 3.8 (1.29, 8.319) and aOR = 95%CI 2.1 (1.03, 4.399), respectively. Being a house wife and preterm deliveries were associated with adverse fetal outcomes at aOR = 95%CI 2.117 (1.315, 3.405) and aOR = 95%CI 9.763 (4.560, 20.902), respectively. Conclusion. The prevalence of diabetes mellitus delivered in the hospital was 2.6%. Class I obesity and previous history of pregnancy-induced hypertension were significantly associated with adverse maternal outcomes, whereas preterm delivery and being housewife were associated with adverse fetal outcome.