Participatory tomato variety selection in the lowland areas of North Shewa

The production and productivity of tomatoes in Ethiopia as well as in Amhara Region are very low because of lack of improved and adapted varieties, inadequate knowledge of production and management, and a poor marketing system. The field experiment was carried out during the 2018 irrigation seasons at Ataye and Shewarobit to identify adaptive, high yielding and disease tolerant varieties of tomato. Eight improved tomato varieties were laid out in a randomized complete block design and replicated three times. The collected biological data were analyzed using SAS statistical software version 9.4, and farmers’ preferences for those varieties were also assessed based on selection attributes set by them. The combined analysis of variance revealed that there was significant difference between the varieties on the number of fruits per cluster, plant height, marketable number, unmarketable number and average weight of a tomato. The highest number of fruits per cluster was recorded from variety Mersa (3.83), followed by Melkasalsa (3.73) and Melkashola (3.7). The variety Mersa was the tallest followed by Weyno with plant heights of 110.5 cm and 110.96 cm, respectively.  The highest average fruit weight was recorded for the variety D2 (61.25 g) followed by Cochoro (46.46 g). Even though it was not statistically significant, the variety Melkashola has given the highest marketable yield (32.98 t ha-1) and showed a better reaction to late blight disease as low as 27.5 %. In addition to this, variety Melkashola was highly preferred by the farmers. Based on the biological data and farmer’s preference variety Melkashola has been recommended for Ataye and Shewarobit as well as for other similar agro-ecologies

Assessments of Birth Outcome of Twin Delivery and Associated Factors among Newborns in Dessie Referral Hospital, Dessie, Ethiopia, 2019

Background. There was a fast improvement of twin’s birth outcomes in the past decade, but it was average in developing countries. Stillbirth, preterm birth, low birth weight, and birth asphyxia are the major contributors to poor twin birth outcomes. This study was crucial to address the gaps and clarify the outcome of twin delivery. Objectives. To assess the birth outcome of twin delivery and associated factors among newborns who were delivered in Dessie Referral Hospital, Ethiopia, 2019. Methods. Institutional-based retrospective cross-sectional study was employed among 385 maternal records from Nov 10/2013 to Dec 10/2019. Data were selected by using a random sampling technique. Frequencies, proportion, and summary statics were used to describe the study population. The data were entered into Epi Info and exported in the SPSS version 20 for analysis. All variables with p value<0.20 in bivariable logistic regression analysis were considered for multivariable logistic regression analysis; adjusted odds ratio with 95% confidence interval was used to measure the association variable with p value<0.05 which was statistically significant. Results. This finding showed that the prevalence of twin birth outcome accounts 23.4% (95 % CI, 19.2–27.5). Low birth weight 9.1%, stillbirth 4.2%, Apgar score < 7 9.1%, and neonatal death 1 % were accounted. Hypertension disorder (95% CI, 6.01(2.43–14.87)), rural residence (95% CI 2.46(1.39–4.37)), PROM (95% CI 6.39(2.52–16.16)), and no ANC follow-up (95% CI, 13.47(2.49–72.85)) were significantly associated with adverse twin birth. Conclusions and Recommendations. Magnitude of twins’ adverse birth outcome was 23.4%. Hypertension disorder, rural residence, PROM, and no ANC follow-up were significant variables for twins’ adverse birth outcome. Therefore, all healthcare providers should give sustainable educations and instructions about the importance of sticking with the recommended ANC follow-up

Risk factors of premature rupture of membranes in public hospitals at Mekele city, Tigray, a case control study

Abstract Background The incidence of premature rupture of membranes ranges from about 5% to 10% of all deliveries. A woman with premature rupture of membranes is at risk of intra-amniotic infection, postpartum infection, endometritis, and death. A neonate born from premature rupture of membranes mother is at high risk of respiratory distress syndrome, sepsis, intraventricular hemorrhage and death. Little is known regarding the risk factors in Ethiopia. Therefore, this study was conducted to identify risk factors of premature rupture of membranes among pregnant women admitted to public hospitals in Mekelle city, Tigray, Ethiopia. Methods Hospital based unmatched case control study design was implemented on 240 samples (160 controls and 80 cases) from pregnant mothers admitted to public hospitals in Mekelle city from February – April/2016. Data was collected by interviewer administered Structured questionnaire and checklist. Binary logistic regression model was used to see the association between dependent and independent variables and multivariable logistic regression was used to identify the independent predictors of premature rupture of membranes. Results A total of 160 controls and 80 cases were enrolled in the study. Multivariable logistic regression showed that history of abortion [AOR 3.06 (CI: 1.39, 6.71)], history of PROM [AOR 4.45 (CI: 1.87, 10.6)], history of caesarean section [AOR 3.15(CI: 1.05, 9.46)] and abnormal vaginal discharge in the index pregnancy [AOR 3.31(CI: 1.67, 6.56)] were positively associated with premature rupture of membranes. Conclusions Past obstetric history and risks in the index pregnancy have an association with premature rupture of membranes. The finding of the study suggests early identification and treatment of genitourinary infection

Correction to: Risk factors of premature rupture of membranes in public hospitals at Mekele city, Tigray, a case control study

Following publication of the original article [1], the author reported that his name was misspelled. The original article has been corrected. Incorrect name: Gidiom Gebrehet Correct name: Gdiom Gebrehea

Setting up child health and mortality prevention surveillance in Ethiopia.

BACKGROUND: Mortality rates for children under five years of age, and stillbirth risks, remain high in parts of sub-Saharan Africa and South Asia. The Child Health and Mortality Prevention Surveillance (CHAMPS) network aims to ascertain causes of child death in high child mortality settings (>50 deaths/1000 live-births). We aimed to develop a “greenfield” site for CHAMPS, based in Harar and Kersa, in Eastern Ethiopia. This very high mortality setting (>100 deaths/1000 live-births in Kersa) had limited previous surveillance capacity, weak infrastructure and political instability. Here we describe site development, from conception in 2015 to the end of the first year of recruitment. METHODS: We formed a collaboration between Haramaya University and the London School of Hygiene &amp; Tropical Medicine and engaged community, national and international partners to support a new CHAMPS programme. We developed laboratory infrastructure and recruited and trained staff. We established project specific procedures to implement CHAMPS network protocols including; death notifications, clinical and demographic data collection, post-mortem minimally invasive tissue sampling, microbiology and pathology testing, and verbal autopsy. We convened an expert local panel to determine cause-of-death. In partnership with the Ethiopian Public Health Institute we developed strategies to improve child and maternal health. RESULTS: Despite considerable challenge, with financial support, personal commitment and effective partnership, we successfully initiated CHAMPS. One year into recruitment (February 2020), we had received 1173 unique death notifications, investigated 59/99 MITS-eligible cases within the demographic surveillance site, and assigned an underlying and immediate cause of death to 53 children. CONCLUSIONS: The most valuable data for global health policy are from high mortality settings, but initiating CHAMPS has required considerable resource. To further leverage this investment, we need strong local research capacity and to broaden the scientific remit. To support this, we have set up a new collaboration, the “Hararghe Health Research Partnership”