Data In Ethiopia Research Articles

Incidence and risk factors of common infections among children in Wonago, southern Ethiopia: a prospective cohort study

ObjectiveThere are limited data in Ethiopia on common childhood illnesses. We aimed to measure the incidence and risk factors of common childhood illnesses in rural parts of southern Ethiopia.DesignA community-based...

Prevalence of syphilis among adults and adolescents in five sub-Saharan African countries: findings from Population-based HIV Impact Assessment surveys

HIV and syphilis are common sexually transmitted infections in sub-Saharan Africa. We aimed to investigate the prevalence and distribution of active syphilis while considering HIV status, demographic characteristics, and behavioural characteristics. The Population-based HIV Impact Assessment surveys used a cross-sectional, two-stage, stratified cluster sample design to collect data in Ethiopia, Tanzania, Uganda, Zambia, and Zimbabwe from 2015 to 2018. Eligible participants were aged 15 years and older and provided demographic information, behavioural information, and blood specimens for HIV and syphilis testing. Active syphilis was defined as the presence of both treponemal and non-treponemal antibodies, measured using an antigen-based rapid test. Multivariable logistic regression models with survey weights were applied. The estimated number of participants with active syphilis in each country was calculated by multiplying the survey-weighted syphilis prevalence by the corresponding participant population size from the latest national census data. The total burden across the five countries was obtained by summing these estimates. 102 831 participants enrolled in the five surveys (54 583 [57·6%] participants were female, 48 248 [42·4%] participants were male, 9036 [9·9%] participants were HIV positive). Population-based syphilis prevalence was 0·9% (95% CI 0·7-1·1) in Tanzania and Zimbabwe, 2·1% (1·9-2·4) in Uganda, and 3·0% (2·7-3·4) in Zambia. Overall, an estimated 1 027 615 (95% CI 877 243-1 158 246) participants had active syphilis across the five countries (266 383 HIV-positive and 761 232 HIV-negative individuals). Syphilis prevalence was higher among people living with HIV (range from 2·6% [95% CI 1·1-4·0] in Ethiopia to 9·6% [8·1-11·0] in Zambia) than among those without HIV (range from 0·8% [0·7-1·0] in Tanzania to 2·1% [1·8-2·4] in Zimbabwe). The odds of active syphilis were higher among people living with HIV than in those who were HIV negative (adjusted odds ratio [aOR] range from 2·5 [95% CI 1·8-3·4] in Uganda to 5·9 [3·8-9·2] in Zimbabwe), among divorced, separated, or widowed individuals (aOR range from 1·5 [1·1-2·0] in Uganda to 2·7 [1·7-4·3] in Zimbabwe), and among those reporting two or more sexual partners in the previous 12 months (aOR range from 1·1 [CI 0·8-1·5] in Uganda to 1·9 [1·1-3·3] in Zimbabwe). This study shows the high burden of syphilis in five sub-Saharan African countries, with a correlation between HIV and active syphilis, underscoring the need for integrated sexual health services and targeted diagnosis, prevention, and treatment strategies to address this public health challenge. The President's Emergency Plan for AIDS Relief through the US Centers for Disease Control and Prevention.

Protocol for a systematic review and meta-analysis on intention to screen for cervical cancer and predictors among women of reproductive age in Ethiopia

IntroductionThe incidence and fatality rates associated with cervical cancer are continuously decreased by cervical cancer screening. However, in underdeveloped nations such as Ethiopia, very few women have undergone cervical cancer...

Genetic diversity and distribution of noroviruses among all age groups of patients with diarrhea in Amhara National Regional State, Ethiopia.

Norovirus (NoV) is the leading cause of diarrheal disease worldwide and the impact is high in developing countries, including Ethiopia. Moreover, there is a significant and fluctuating global genetic diversity that varies across diverse environments over time. Nevertheless, there is a scarcity of data on the genetic diversity of NoV in Ethiopia. This study was aimed to assess the genetic diversity and distribution of NoVs circulating in the Amhara National Regional State, Ethiopia, by considering all age groups. A total of 519 fecal samples were collected from diarrheal patients from May 01/2021 to November 30/ 2021. The fecal samples were screened for the presence of NoVs using real-time RT-PCR by targeting a portion of the major capsid protein coding region. The positive samples were further amplified using conventional RT-PCR, and sequenced. The positivity rate of NoV was (8.9%; 46/519). The detection rate of NoV genogroup II (GII) and genogroup I (GI) was 38 (82.6%) and 8 (17.4%), respectively. Overall, five distinct GII (GII.3, GII.6, GII.10, GII.17, and GII.21) and two GI (GI.3 and GI.5) genotypes were detected. Within the GII types, GII.3 was the predominant (34.2%) followed by GII.21 (15.8%), GII.17 (10.5%), GII.6 and GII.10 each (2.6%). Norovirus GII.21 is reported for the first time in Ethiopia. The genetic diversity and distribution of NoVs were significantly different across the four sampling sits and age groups. The phylogenetic analysis revealed close relatedness of the current strains with published strains from Ethiopia and elsewhere. The distribution and genetic diversity of NoV was considerably high, with predominance of non-GII.4 genotypes. The GII.21 genotype is a new add on the growing evidences on the genetic diversity of NoVs in Ethiopia. Future nationwide surveillance studies are necessary to gain comprehensive data in Ethiopia.

Performance of water indices for large-scale water resources monitoring using Sentinel-2 data in Ethiopia

Evaluating the performance of water indices and water-related ecosystems is crucial for Ethiopia. This is due to limited information on the availability and distribution of water resources at the country scale, despite its critical role in sustainable water management, biodiversity conservation, and ecosystem resilience. The objective of this study is to evaluate the performance of seven water indices and select the best-performing indices for detecting surface water at country scale. Sentinel-2 data from December 1, 2021, to November 30, 2022, were used for the evaluation and processed using the Google Earth Engine. The indices were evaluated using qualitative visual inspection and quantitative accuracy indicators of overall accuracy, producer’s accuracy, and user’s accuracy. Results showed that the water index (WI) and automatic water extraction index with shadow (AWEIsh) were the most accurate ones to extract surface water. For the latter, WI and AWEIsh obtained an overall accuracy of 96% and 95%, respectively. Both indices had approximately the same spatial coverage of surface water with 82,650 km2 (WI) and 86,530 km2 (AWEIsh) for the whole of Ethiopia. The results provide a valuable insight into the extent of surface water bodies, which is essential for water resource planners and decision-makers. Such data can also play a role in monitoring the country’s reservoirs, which are important for the country’s energy and economic development. These results suggest that by applying the best-performing indices, better monitoring and management of water resources would be possible to achieve the Sustainable Development Goal 6 at the regional level.

The COVID-19 Severity and Its Association with Intestinal Parasite Coinfection and Urine Biochemical Parameters among COVID-19-Confirmed Patients Admitted to Debre Markos University COVID-19 Center, Northwest Ethiopia.

Though most people with COVID-19 disease show asymptomatic to mild illness, a substantial number of patients are at high risk of developing severe disease and adverse outcomes with long COVID-19 and death. Even though some studies showed that previously existing infections with parasites amend the host's body defenses to increase resistance to infection with SARS-CoV-2, there is limited data in Ethiopia. This study is aimed at determining the COVID-19 disease severity and its association with intestinal parasite coinfection and urine biochemical parameters among COVID-19-confirmed patients admitted at Debre Markos University COVID-19 Center, 2021. A prospective cohort study was conducted on 136 RT-qPCR-confirmed COVID-19 patients admitted at Debre Markos University COVID-19 Center from January 1 to March 30, 2021. Sociodemographic and clinical data were collected by using standardized data collection forms. A urine biochemical test was performed using a dry urine dipstick kit and stool examination using direct wet mount microscopic examination and formalin-ether concentration method. The chi-square test, Fisher exact test, and ordinal logistic regression analysis were computed to assess association with outcome variables using Statistical Package for Social Science software (version 24). A total of 136 COVID-19-confirmed patients participated in this study. The median age of the participants was 48 years. The majority (86 (62.5%)) of them were male in sex. Of the 136 cases, 39 (28.7%) had died. Among the 136 patients, 22 (16.2%) were coinfected with intestinal parasites. COVID-19 patients who have intestinal parasite coinfection had lower odds of developing clinically severe COVID-19 compared to noninfected (AOR = 0.37; 95% CI = 0.147-0.944; P = 0.037). The majority (104 (76.5%)) of them have abnormal urine biochemical results. From the abnormal urine biochemical tests observed, the urine blood, glucose, and ketone tests were positive for 54 (39.7%), 36 (26.5%), and 30 (21.1%) patients, respectively. Among the 31 critical COVID-19 patients, 25 (80.6%) showed abnormal urine biochemical parameters. Age and comorbidity were significantly associated with COVID-19 severity (P < 0.05). Patients with old age and comorbidity had an increased risk of developing severe COVID-19 disease. Patients having SARS-CoV-2 and intestinal parasitic coinfections demonstrated mild COVID-19 disease severity. Abnormal urine biochemical results were common among critical COVID-19 patients. Thus, advanced study on the effect of the interaction among intestinal parasites on COVID-19 clinical severity and its mechanisms is essential.

Suicidal Behaviors and Associated Factors Among Adult Psychiatric Patients Attending Psychiatric Clinic at Public Hospitals in Ethiopia: A Cross-Sectional Study.

Suicidal behaviors in persons with mental illnesses are the most prevalent psychiatric crises, requiring scholars and mental health task teams to prioritize public health concerns. However, there is a scarcity of data in Ethiopia, particularly for patients with mental illness. As a result, the goal of this study was to assess the prevalence of suicidal behaviors and associated factors among individuals with mental illness visiting public hospital psychiatric clinic units in eastern Ethiopia. A facility-based cross-sectional study was conducted from October 15 to November 15, 2022, with 411 individuals with mental illness visiting psychiatric clinic units at public hospitals in eastern Ethiopia. To select participants in the study, a systematic random sampling method was used. A structured face-to-face interview was used to gather data. The Suicidal Behavior Questionnaire-Revised (SBQ-R) was used to measure suicidal behaviors. Epidata 3.1 version was used to enter the data, and SPSS version 24 was used to analyze it. Both bivariable and multivariable logistic regression analyses were employed. In the final model, variables with p-values less than 0.05 were considered statistically significant. To identify variables associated with suicidal behavior, the adjusted odds ratio (AOR) and 95% confidence interval (CI) were utilized. Out of a total of 411 eligible participants, 402 involved in this study, giving a response rate of 97.8%. The prevalence of suicidal behavior was 46.3%, (95% CI: 41-50.7). Depression (AOR = 2.21,95% CI: 1.04, 4.69), medication non-adherence (AOR = 1.95, 95% CI: 1.19, 3.18), bipolar disorders (AOR = 1.79, 95% CI: 1.55, 3.53), and current alcohol use (AOR = 1.81, 95% CI: 1.01, 3.28) were variables associated with suicidal behaviors. This study found a high rate of suicidal behaviors among adult individuals with mental illness in public hospitals in eastern Ethiopia. Suicidal behavior was highly associated with depression, bipolar disorders, current alcohol use, and medication non-adherence. Psychiatric professionals should assess patient suicidal risk assessment routinely and should put the diagnosis with suicidal if the client is suicidal so that every professional focuses on treatment besides the medication. Special attention is required for individuals who present associated features, such as history of medication non adherence, depression, and overall bipolar disorders.

“We don’t trust all data coming from all facilities”: factors influencing the quality of care network data quality in Ethiopia

ABSTRACT Background Good quality data are a key to quality health care. In 2017, WHO has launched the Quality of Care Network (QCN) to reduce maternal, newborn and stillbirth mortality via learning and sharing networks. Guided by the principle of equity and dignity, the network members agreed to implement the programme in 2017–2021. Objective This paper seeks to explore how QCN has contributed to improving data quality and to identify factors influencing quality of data in Ethiopia. Methods We conducted a qualitative study in selected QCN facilities in Ethiopia using key informant interview and observation methods. We interviewed 40 people at national, sub-national and facility levels. Non-participant observations were carried out in four purposively selected health facilities; we accessed monthly reports from 41 QCN learning facilities. A codebook was prepared following a deductive and inductive analytical approach, coded using Nvivo 12 and thematically analysed. Results There was a general perception that QCN had improved health data documentation and use in the learning facilities, achieved through coaching, learning and building from pre-existing initiatives. QCN also enhanced the data elements available by introducing a broader set of quality indicators. However, the perception of poor data quality persisted. Factors negatively affecting data quality included a lack of integration of QCN data within routine health system activities, the perception that QCN was a pilot, plus a lack of inclusive engagement at different levels. Both individual and system capabilities needed to be strengthened. Conclusion There is evidence of QCN’s contribution to improving data awareness. But a lack of inclusive engagement of actors, alignment and limited skill for data collection and analysis continued to affect data quality and use. In the absence of new resources, integration of new data activities within existing routine health information systems emerged as the most important potential action for positive change.

The frequency of ABO and Rhesus(D) blood group antigens among blood transfused patients in Northern Ethiopia, 2023: Retrospective study

BackgroundData about the distribution of ABO and RhD blood groups is important for effective blood utilization, which is maintained by identifying the most clinically required blood type. However, there is a scarcity of data in Ethiopia about the distribution of ABO and RhD blood groups among blood-transfused patients, particularly in the study area. ObjectiveTo determine the frequency of ABO and RhD blood groups among blood transfused patients at Dessie Comprehensive Specialized Hospital, Northern Ethiopia, 2023. MethodA hospital-based retrospective study was conducted from September 1 to September 30, 2022, to determine the frequency of ABO and RhD blood groups among blood-transfused patients at Dessie Comprehensive Specialized Hospital. The study was conducted on data from blood-transfused patients from October 2019 to June 2022. A total of 3762 blood transfused patients’ data was collected from the blood transfusion log book records. The data were coded, entered, and cleaned using Epi-data version 4.6 and analyzed for descriptive statistics using Stata version 14.0. ResultA total of 3762 blood-transfused patients were included in the study. Of those, females made up 57.3 % (2156/3762). Of 3762 blood transfused patients, the majority (33.9 %, 1277/3762) had ABO blood group B, and 81.3 % (3060/3762) of the blood transfused patients were RhD-positive. Eight thousand three hundred fifteen units of whole blood were transfused to 3762 patients, with a mean of 2.2 units of blood transfused per patient. Furthermore, the majority of the study participants 42.82 %, (1611/3762) were given two units of blood, and 8.77 % (330/3762) were given four units of blood. ConclusionMost of the study participants had B and RhD-positive blood groups. The majority of the blood transfused patients were females. Most of the blood was transfused in the medical ward, and whole blood was transfused for all patients.

The impact of conflict on food security: evidence from household data in Ethiopia and Malawi

BackgroundViolent conflicts threaten food security and household welfare in sub-Saharan Africa. While a more robust understanding of the causal relationship between food security and conflict is vital in mitigating food insecurity and bolstering peace prospects, only limited research exists on this topic, especially at the household level where estimations are more empirically challenging given data constraints and identification issues. Our analysis utilizes a newly developed and novel difference-in-differences model developed by de Chaisemartin and D’Haultfoeuille (2020) to determine the causal relationship between violent conflicts and food security in two sub-Saharan African countries—Malawi and Ethiopia using household-level data from the World Bank’s Household Living Standards Measurement Survey.ResultsOur results suggest that exposure to violent conflict on average decreases the food consumption score (FCS) by 6.84 units, which corresponds to a 16.13% reduction in FCS. With respect to individual countries, Malawi shows the largest effect-size, with the FCS decreasing by 10.54 units (equivalent to a 20.22% reduction in FCS). In Ethiopia, the causal estimate was slightly smaller at − 4.32 (equivalent to a 11.67% reduction in FCS) although the baseline food security status was lower relative to Malawi. Disaggregated analyses show that the effect-size can be several orders of magnitude larger when conflict is experienced simultaneously with natural shocks. Robustness checks using different iterations of propensity score matching generate comparable causal estimates and reinforce the overall findings.ConclusionsThe findings help improve our understanding of a broader issue by providing new direct and granular evidence regarding the relationship between conflict and food security using household data. The results hold implications for aid and humanitarian efforts to help households facing food insecurity stemming from violence and other factors.

Mathematical modeling and analysis of COVID-19 and TB co-dynamics

This study proposes a mathematical model for examining the COVID-19 and tuberculosis (TB) co-dynamics thoroughly. First, the single infection dynamics: COVID-19 infection and TB infection models are taken into consideration and examined. Following that, the co-dynamics with TB and COVID-19 is also investigated. In order to comprehend the developed model dynamics, the basic system attributes including the region of definition, theory of nonnegativity and boundedness of solution are investigated. Further, a qualitative analysis of the equilibria of the formulated model equations is performed. The equilibria of both infection models are globally asymptotically stable if their respective basic reproductive number is smaller than one. As the associated reproductive number reaches unity, they experience the forward bifurcation phenomenon. Additionally, it is demonstrated that the formulated co-dynamics model would not experience backward bifurcation by applying the center manifold theory. Moreover, model fitting is done by using daily reported COVID-19 cumulative data in Ethiopia between March 13, 2020, and May 31, 2022. For instance, the non-linear least squares approach of fitting a function to data was performed in the fitting process using scipy.optimize.curve_fit from the Python. Finally, to corroborate the analytical findings of the model equation, numerical simulations were conducted.

Spatial Clustering in Temporal Trends of Female Genital Mutilation Risk: Leveraging Sparse Data in Ethiopia, Kenya, and Somalia.

Female genital mutilation (FGM) is a harmful practice rooted in gender inequality. Its elimination is part of national and international agendas including the Sustainable Development Goals of the United Nations. Understanding its geographical evolution is crucial for targeted programming. However, due to sparse data, it is challenging to establish international comparability and statistical reliability. Data on FGM is observed at different points in time and periodicity across countries and in contexts with varying age-risk patterns, all of which can be a source of inaccurate and biased estimates. We perform an exemplary analysis, drawing on survival and complex survey analysis in Ethiopia, Kenya, and Somalia. This novel approach addresses measurement challenges specific to FGM data and produces an internationally comparable indicator-the probability of not experiencing FGM by age 20. We pinpoint the onset of statistically significant FGM decline at the subnational level from cohorts born in the 1970s until the 1990s. In the same period, we observe no decline in FGM risk across regions clustered around international borders and increasing subnational inequalities within countries. Our methods thus provide crucial insights into the geographical pattern of temporal trends in FGM risk.

Monitoring impacts of soil bund on spatial variation of teff and finger millet yield with Sentinel-2 and spectroradiometric data in Ethiopia

Data from remote sensing devices are essential for monitoring environmental protection practices and estimating crop yields. However, yield estimates in Ethiopia are based on time-consuming surveys. We used Sentinel-2, spectroradiometeric, and ground-truthing data to estimate the grain yield (GY) of two major crops, teff, and finger millet, in Ethiopia's Aba Gerima catchment in 2020 and 2021. At the flowering stage, we performed supervised classification on October Sentinel-2 images and spectral reflectance measurement. We used regression models to identify and predict crop yields, as evaluated by the coefficient of determination (adjusted R2) and root mean square error (RMSE). The enhanced vegetation index (EVI) and normalized-difference vegetation index (NDVI) provided the best fit to the data among the vegetation indices used to predict teff and finger millet GY. Soil bund construction increased the majority of vegetation indices and GY of both crops. We discovered a strong correlation between GY and the satellite EVI and NDVI. However, NDVI and EVI had the greatest influence on teff GY (adjusted R2 = 0.83; RMSE = 0.14 ton/ha), while NDVI had the greatest influence on finger millet GY (adjusted R2 = 0.85; RMSE = 0.24 ton/ha). Teff GY ranged from 0.64 to 2.16 ton/ha for bunded plots and 0.60 to 1.85 ton/ha for non-bunded plots using Sentinel-2 data. Besides, finger millet GY ranged from 1.92 to 2.57 ton/ha for bunded plots and 1.81 to 2.38 ton/ha for non-bunded plots using spectroradiometric data. Our findings show that Sentinel-2- and spectroradiometeric-based monitoring can help farmers manage teff and finger millet to achieve higher yields, more sustainable food production, and better environmental quality in the area. The study's findings revealed a link between VIs and soil management practices in soil ecological systems. Model extrapolation to other areas will necessitate local validation.

Survival status and predictors of mortality among patients admitted to surgical intensive care units of Addis Ababa governmental hospitals, Ethiopia: A multicenter retrospective cohort study.

Critical care is a serious global healthcare burden. Although a high number of surgical patients are being admitted to the surgical intensive care unit (SICU), the mortality remained high, particularly in low and middle-income countries. However, there is limited data in Ethiopia. Therefore, this study aimed to investigate the survival status and predictors of mortality in surgical patients admitted to the SICUs of Addis Ababa governmental hospitals, Ethiopia. A multicenter retrospective cohort study was conducted on 410 surgical patients admitted to the SICUs of three government hospitals in Addis Ababa selected using a simple random sampling from February 2017 to February 2020. The data were entered into Epidata version 4.6 and imported to STATA/MP version 16 for further analysis. Bi-variable and multivariable Cox regression models were fitted in the analysis to determine the predictor variables. A hazard ratio (HR) with a 95% confidence interval (CI) was computed, and variables with a p-value <0.05 were considered statistically significant. From a sample of 410 patients, 378 were included for final analysis and followed for a median follow-up of 5 days. The overall mortality among surgical patients in the SICU was 44.97% with an incidence rate of 5.9 cases per 100 person-day observation. Trauma (AHR = 1.83, 95% CI: 1.19-2.08), Glasgow coma score (GCS) <9 (AHR = 2.06, 95% CI: 1.28-3.31), readmission to the SICU (AHR = 3.52, 95% CI: 2.18-5.68), mechanical ventilation (AHR = 2.52, 95% CI: 1.23-5.15), and creatinine level (AHR = 1.09, 95% CI: 1.01-1.18) were found to be significantly associated with mortality in the SICU. The mortality of surgical patients in the SICU was high. Trauma, GCS <9 upon admission, readmission to the SICU, mechanical ventilation, and increased in the creatinine level on admission to the SICU were the identified predictors of mortality in the SICU.

Drug-Resistant Aerobic Bacterial Pathogens in Patients with Crocodile Bite Wounds Attending at Arba Minch General Hospital, Southern Ethiopia.

A polymicrobial infection containing a diverse range of drug-resistant bacteria worsens the success of treatment for crocodile bite wound infection. However, there is a dearth of data in Ethiopia, where crocodile bite injuries are relatively common, particularly in the area around Lake Abaya and Lake Chamo in southern Ethiopia. A hospital-based cross-sectional study was conducted from May 1st, 2021, to April 30th, 2022, at Arba Minch General Hospital. Eleven consenting patients with crocodile bite wounds were enrolled in this study. Wound swabs were collected aseptically following microbiological procedures. The diversity and type of aerobic bacterial pathogens, and drug-resistant patterns were used to determine and characterize the nature of crocodile bite wound infections. Among 11 patients with crocodile bite wounds, 72.7% (8/11) of wound samples were found to be culture-positive, with a total of 21 aerobic bacterial isolates. Gram-negative bacterial isolates were found in 57.1% (12/21). Triple-bacterial isolates were found in 62.5% (5/8) of wound samples, followed by 37.5% (3/8) of double bacterial isolates. Pseudomonas aeruginosa (n = 5), followed by Citrobacter spp. (n = 4), and coagulase-negative Staphylococci (CoNS) (n = 4) were frequently isolated bacteria. Methicillin resistance (MR-CoNS) was found in 75% of isolated CoNS. 6.7% of the isolated Enterococcus faecalis was vancomycin-resistant (VRE), while 60% of the isolated P. aeruginosa were piperacillin-resistant. Overall, 85.7% (18/21) of the isolates were found to be multidrug-resistant (MDR), with 55.6% (10/18) of them being Gram-negative MDR bacterial isolates. Numerous aerobic bacteria that are resistant to the majority of common antibiotics have been associated with infections in crocodile bite wounds. Thus, the key to providing empirical therapy for such wounds is detecting the drug-resistant pattern of bacterial isolates.

FAIR Equivalency with Regulatory Framework for Digital Health in Ethiopia

AbstractThis paper investigates whether or not there is a policy window for making health data ‘Findable’, ‘Accessible’ (under well-defined conditions), ‘Interoperable’ and ‘Reusable’ (FAIR) in Ethiopia. The question is answered by studying the alignment of policies for health data in Ethiopia with the FAIR Guidelines or their ‘FAIR Equivalency’. Policy documents relating to the digitalisation of health systems in Ethiopia were examined to determine their FAIR Equivalency. Although the documents are fragmented and have no overarching governing framework, it was found that they aim to make the disparate health data systems in Ethiopia interoperable and boost the discoverability and (re)usability of data for research and better decision making. Hence, the FAIR Guidelines appear to be aligned with the regulatory frameworks for ICT and digital health in Ethiopia and, under the right conditions, a policy window could open for their adoption and implementation.

Small Area Estimation of Zone-Level Malnutrition among Children under Five in Ethiopia

Child undernutrition is one of the 10 most significant public health problems worldwide. There is a rapidly growing demand to produce reliable estimates at the micro administrative level with small sample sizes. In this research, the authors employed small area estimation techniques to estimate the prevalence of malnutrition at the zonal level among children under five in Ethiopia. The small area estimation concept was sought for by linking the most recent possible survey data and census data in Ethiopia. The results show that there is spatial variation of stunting, wasting and being underweight across the zone level, showing different locations facing different challenges or different extents.

The Diagnostic Capacity of Three Phenotypic Techniques of Extended-Spectrum β-Lactamase Detection

Background: Early detection of extended-spectrum β-lactamases (ESBLs) producing bacteria is critical for infection prevention and control. Numerous phenotypic approaches and automated systems have been developed for detecting ESBL bacteria. However, there is a scarcity of data in Ethiopia regarding the most reliable, simple, and cost-effective methods for detecting ESBL-producing bacteria. This study, therefore, aimed to evaluate the diagnostic performance of three phenotypic approaches for detecting ESBL-producing bacteria. Methods: In this study, 117 isolates of Klebsiella pneumoniae, Escherichia coli, Klebsiella oxytoca, and Proteus mirabilis were examined. Cefotaxime (30 µg) and ceftazidime (30 µg) were used for screening ESBL enzymes. A screening breakpoints of≤27 mm and≤22 mm were used for cefotaxime (30 µg) and ceftazidime (30 µg), respectively, as per the Clinical and Laboratory Standards Institute (CLSI) guidelines. All 117 strains were further confirmed by the Vitek 2 compact, double disk synergy, ESBL Epsilometer test, and combined disk method. The combined disk method was adopted as the reference method. Results: Out of 117 isolates, 90 (86%) had zone diameters of≤27 mm and≤22 mm for cefotaxime (30 µg) and ceftazidime (30 µg), respectively. The reference method detected 76 (65%) ESBL isolates out of 117 ones. From among the three techniques (i.e., double disk synergy, Vitek 2 compact, and ESBL Epsilometer test), the double disk synergy method demonstrated overall sensitivity and specificity of 97.4% and 97.6%, respectively. Vitek-2, cefotaxime, and ceftazidime Epsilometer test indicated indeterminate results of 6.8%, 6.8%, and 5.1% respectively. Conclusion: Double disk synergy was found to have the highest sensitivity and specificity for detecting ESBL isolates with no indeterminate results.

Solar Energy Potential Estimated by Mean Global Solar Radiation Using Sunshine-Based Models and Their Validations by Geospatial Data in Ethiopia

Solar Energy Potential Estimated by Mean Global Solar Radiation Using Sunshine-Based Models and Their Validations by Geospatial Data in Ethiopia

Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study.

ObjectiveA routine health information system (RHIS) enables decision making in the healthcare system. We aimed to analyse data quality at the district and regional level and explore factors and perceptions affecting the quality and use of routine data.DesignThis was a mixed-methods study. We used the WHO toolkit for analysing data quality and interviewed staff at the point of data generation and along with the flow of data. Data were analysed using the Performance of Routine Information System Management framework.SettingThis study was performed in eight districts in four regions of Ethiopia. The study was nested within a 2-year programme of the Operational Research and Coaching for government Analysts.ParticipantsWe visited 45 health posts, 1 district hospital, 16 health centres and 8 district offices for analysis of routine RHIS data and interviewed 117 staff members for the qualitative assessment.Outcome measuresWe assessed availability of source documents, completeness, timeliness and accuracy of reporting of routine data, and explored data quality and use perceptions.ResultsThere was variable quality of both indicator and data element. Data on maternal health and immunisation were of higher quality than data on child nutrition. Issues ranged from simple organisational factors, such as availability of register books, to intricate technical issues, like complexity of indicators and choice of denominators based on population estimates. Respondents showed knowledge of the reporting procedures, but also demonstrated limited skills, lack of supportive supervision and reporting to please the next level. We saw limited examples of the use of data by the staff who were responsible for data reporting.ConclusionWe identified important organisational, technical, behavioural and process factors that need further attention to improve the quality and use of RHIS data in Ethiopia.