BackgroundChild undernutrition showed geographical inequalities due to variations in contextual determinants from area to area which indicates that location is an important factor in child undernutrition. However, there are limited studies on spatial epidemiology of child undernutrition in Ethiopia. This study was aimed to identify the SaTScan spatial clusters of child undernutrition in Ethiopia.MethodsNutritional indices of children (0–59 months) with Global Positioning System (GPS) location data were accessed from the 2011 Ethiopia Demographic and Health Survey (EDHS) after getting permission from the MEASURES Demographic and Health Survey (DHS) Program. The Bernoulli Model was fitted using SaTScan™ software, version 9.4. for SaTScan cluster analysis. Log Likelihood Ratio (LLR) test was used for each SaTScan cluster and size of the scanning SaTScan cluster to test the alternative hypothesis that there is an elevated risk within the SaTScan cluster compared to outside the SaTScan cluster. Less than 0.05 for LLR was considered as statistically significant level.ResultsThe SaTScan spatial analysis result detected Liben, Afder and Borena administrative zones around the South East Ethiopia as the most likely primary spatial SaTScan clusters (LLR = 28.98, p < 0.001) for wasting. In the Northern, Middle, North East and North West areas of Ethiopia particularly from all administrative zones of Amhara, Tigray, Afar, Ben. Gumz regional states and East Welega and North Showa zones from Oromiya Regional State (LLR = 60.27, p < 0.0001) were detected as the most likely primary SaTScan clusters for child underweight. Also in the Northern, Middle, North East and North West areas of all administrative zones of Tigray, Amhara, Ben. Gumz and Afar regional states and West and North Showa and East Welega from Oromiya Regional States (LLR = 97.28, P < 0.0001) were primary SaTScan clusters for child stunting.ConclusionThe study showed geographical variability of child stunting, underweight and wasting in the Country which demands risk based local nutritional interventions. Further study will be important to assess the temporal nature of the problem and to identify community level factors that create this spatial variation.

Background Measures of malaria burden using microscopy and rapid diagnostic tests (RDTs) in cross-sectional household surveys may incompletely describe the burden of malaria in low-transmission settings. This study describes the pattern of malaria transmission in Ethiopia using serological antibody estimates derived from a nationwide household survey completed in 2015. Methods Dried blood spot (DBS) samples were collected during the Ethiopian Malaria Indicator Survey in 2015 from malarious areas across Ethiopia. Samples were analysed using bead-based multiplex assays for IgG antibodies for six Plasmodium antigens: four human malaria species-specific merozoite surface protein-1 19kD antigens (MSP-1) and Apical Membrane Antigen-1 (AMA-1) for Plasmodium falciparum and Plasmodium vivax . Seroprevalence was estimated by age, elevation and region. The seroconversion rate was estimated using a reversible catalytic model fitted with maximum likelihood methods. Results Of the 10,278 DBS samples available, 93.6% (9622/10,278) had valid serological results. The mean age of participants was 15.8 years and 53.3% were female. National seroprevalence for antibodies to P. falciparum was 32.1% (95% confidence interval (CI) 29.8–34.4) and 25.0% (95% CI 22.7–27.3) to P. vivax . Estimated seroprevalences for Plasmodium malariae and Plasmodium ovale were 8.6% (95% CI 7.6–9.7) and 3.1% (95% CI 2.5–3.8), respectively. For P. falciparum seroprevalence estimates were significantly higher at lower elevations (< 2000 m) compared to higher (2000–2500 m) (aOR 4.4; p < 0.01). Among regions, P. falciparum seroprevalence ranged from 11.0% (95% CI 8.8–13.7) in Somali to 65.0% (95% CI 58.0–71.4) in Gambela Region and for P. vivax from 4.0% (95% CI 2.6–6.2) in Somali to 36.7% (95% CI 30.0–44.1) in Amhara Region. Models fitted to measure seroconversion rates showed variation nationally and by elevation, region, antigen type, and within species. Conclusion Using multiplex serology assays, this study explored the cumulative malaria burden and regional dynamics of the four human malarias in Ethiopia. High malaria burden was observed in the northwest compared to the east. High transmission in the Gambela and Benishangul-Gumuz Regions and the neglected presence of P. malariae and P. ovale may require programmatic attention. The use of a multiplex assay for antibody detection in low transmission settings has the potential to act as a more sensitive biomarker. Electronic supplementary material The online version of this article (10.1186/s12936-019-2874-z) contains supplementary material, which is available ...

BackgroundIn Ethiopia, child undernutrition remains to be a major public health challenge and a contributing factor for child mortality and morbidity. To reduce the problem, it is apparent to identify determinants of child undernutrition in specific contexts to deliver appropriately, targeted, effective and sustainable interventions.MethodsAn agroecosystem linked cross-sectional survey was conducted in 3108 children aged 6–59 months. Multistage cluster sampling technique was used to select study participants. Data were collected on socio-demographic characteristics, child anthropometry and on potential immediate, underlying and basic individual and community level determinants of child undernutrition using the UNICEF conceptual framework. Analysis was done using STATA 13 after checking for basic assumptions of linear regression. Important variables were selected and individual and community level determinants of child height-for-age Z score were identified. P values less than 0.05 were considered the statistical level of significance.ResultsIn the intercept only model and full models, 3.8% (p < 0.001) and 1.4% (p < 0.001) of the variability were due to cluster level variability. From individual level factors, child age in months, child sex, number of under five children, immunization status, breast feeding initiation time, mother nutritional status, diarrheal morbidity, household level water treatment and household dietary diversity were significant determinants of child height for age Z score. Also from community level determinants, agroecosystem type, liquid waste disposal practice and latrine utilization were significantly associated with child height-for-age Z score.ConclusionIn this study, a statistical significant heterogeneity of child height-for-age Z score was observed among clusters even after controlling for potential confounders. Both individual and community level factors, including the agroecosystem characteristics had a significant role in determining child height-for-age Z score in the study area. In addition to the existing efforts at the individual levels to improve child nutritional status, agroecosystem and community WASH related interventions should get more attention to improve child nutritional status in the study area.

BackgroundDespite global declaration of the right to life as a fundamental human right and substantial progress in reducing childhood mortality, unacceptably high number of children still die before their fifth birthday every day. Different factors have been studied and implicated for under-five mortality with mixed results. Mortality studies in the current study sites were lacking. Therefore, this study examined environmental and socioeconomic determinants of under-five mortality.MethodsThe study applied a matched case control study design on 381 cases of children who died before their fifth birthday and 762 controls born within 1 month in the same locality as the cases. We conducted weighted conditional logistic regression to assess the association between selected factors and mortality status.ResultThe odds of death was found to be significantly lower among children of mothers whose educational status was grade nine or above (Adjusted odds ratio (AOR) of 0.34(0.16–0.72)). The odds of death was significantly higher among children whose mothers’ marital status were separated/divorced or widowed (AOR of 3.60(1.23–10.47)) and whose fathers were daily laborers (AOR of 2.34(1.29–4.23)). Presence of separate kitchen in the household for cooking was a proximate factor which was significantly associated with under-five mortality with AOR of 1.77(1.16–2.70).ConclusionSocioeconomic factors like maternal education, husband occupation and marital status of the mother were shown to be significantly associated with under-five mortality. Hence, in order to enhance reduction in childhood mortality, investing on maternal education targeting those at risk groups is recommended.

Background: In Ethiopia, food insecurity remains a major public health challenge. Agroecosystem has a potential to determine food insecurity. Therefore, this study aimed to determine the spatial pattern of household food insecurity across different agroecosystems in East Gojjam Zone. An agroecosystem-linked cross-sectional survey was done among 3108 households after selecting using multistage cluster sampling. The study area is divided into hilly and mountainous highlands, midland plains with black soil, midland plains with brown soil, midland plains with red soil and lowlands of Abay valley. Data were collected on sociodemographic variables, household food access and geographical location after five days training and pretesting of the tool to maintain data quality. Data were entered using Epi Info version 3.5 and exported to SaTScan and SPSS 20 for further analysis. To identify the most likely clusters using SaTScan software, the log likelihood ratio (LLR) and P less than 0.05 were considered as the level of significance. Results:The overall prevalence of household food insecurity was found to be 65.3% (95% CI 63.5, 67.00). The lowlands of the Abay valley (70.6%, 95% CI 66.9, 74.2) and hilly and mountainous highlands (69.8%, 95% CI 65.9, 73.3) showed a significantly higher prevalence compared to midland plains with black soil (61.7%, 95% CI 58.1, 65.6), midland plains with red soil (63.5%, 95% CI 59.9, 65.0) and midland plains with brown soil (61.5%, 95% CI 57.4, 65.3). SaTScan spatial analysis identified hilly and mountainous highlands (LLR: 11.64; P 0.0088) and lowlands of the Abay valley (LLR: 8.23; P 0.025) as the most likely primary and secondary clusters, respectively. Conclusions:The lowlands of Abay valley and hilly and mountainous highlands were the most vulnerable areas of food insecurity. Concerned bodies that are working to mitigate food insecurity shall consider microlevel food insecurity variations during planning interventions. Further research is needed to determine the temporal variation of household food insecurity. Also, it is very important to validate the spatial analysis results applicability to design geographically targeted interventions.

Background: Ethiopia has set a goal for malaria elimination by 2030. Low parasite density infections may go undetected by conventional diagnostic methods (microscopy and rapid diagnostic tests) and their contribution to malaria transmission varies by transmission settings. This study quantified the burden of subpatent infections from samples collected from three regions of northwest Ethiopia.Methods: Sub-samples of dried blood spots from the Ethiopian Malaria Indicator Survey 2015 (EMIS-2015) were tested and compared using microscopy, rapid diagnostic tests (RDTs), and nested polymerase chain reaction (nPCR) to determine the prevalence of subpatent infection. Paired seroprevalence results previously reported along with gender, age, and elevation of residence were explored as risk factors for Plasmodium infection. Results:Of the 2608 samples collected, the highest positive rate for Plasmodium infection was found with nPCR 3.3% (95% CI 2.7-4.1) compared with RDT 2.8% (95% CI 2.2-3.5) and microscopy 1.2% (95% CI 0.8-1.7). Of the nPCR positive cases, Plasmodium falciparum accounted for 3.1% (95% CI 2.5-3.8), Plasmodium vivax 0.4% (95% CI 0.2-0.7), mixed P. falciparum and P. vivax 0.1% (95% CI 0.0-0.4), and mixed P. falciparum and Plasmodium malariae 0.1% (95% CI 0.0-0.3). nPCR detected an additional 30 samples that had not been detected by conventional methods. The majority of the nPCR positive cases (61% (53/87)) were from the Benishangul-Gumuz Region. Malaria seropositivity had significant association with nPCR positivity [adjusted OR 10.0 (95% CI 3.2-29.4), P < 0.001]. Conclusion:Using nPCR the detection rate of malaria parasites increased by nearly threefold over rates based on microscopy in samples collected during a national cross-sectional survey in 2015 in Ethiopia. Such subpatent infections might contribute to malaria transmission. In addition to strengthening routine surveillance systems, malaria programmes may need to consider low-density, subpatent infections in order to accelerate malaria elimination efforts.

BackgroundThough, Ethiopia has shown progress in the reduction of under-five mortality in the last few years, the problem of neonatal and under-five mortality are still among the highest in the world and that warrants continuous investigation of the situation for sustained interventions to maintain the reduction beyond the millennium development goals. Therefore, this study was conducted with the objective of determining the magnitude of childhood mortalities in the designated community.MethodA census of 11 kebeles (lowest administrative units in Ethiopia) of Arba Minch Town and 11 kebeles of Arba Minch Zuria District, which were not part of Arba Minch Demographic Surveillance System (DSS), had been done in order to identify all children (alive and dead) born between September 01, 2007 and September 30, 2014. Besides, all children born after July 01, 2009 were tracked from the data base of the Arba Minch DSS. Descriptive analyses with frequency and cross tabulation with the corresponding confidence interval and p-value were made using SPSS 16 and STATA 11. Extended Mantel-Haenszel chi-square for linear trend was also performed to assess presence of linear trend through the study period using open-Epi version 2.3.ResultA total of 20,161 children were included for this analysis. The overall weighted under five, infant and neonatal mortalities with their corresponding 95 % confidence intervals were: 42.76 (39.56-45.97), 33.89 (31.03-36.76) and 18.68 (16.53-20.83) per 1000 live births, respectively. Majority of neonatal deaths occurred within the first 7 days of life. Under-five mortality was found to be significantly higher among non-DSS rural kebeles, overall rural kebeles and females.ConclusionSignificant number of children died during their early days of life. Strengthening of maternal and child health interventions during pregnancy, during and immediately after birth are recommended in order to avert majorities of neonatal deaths.

BackgroundHIV-infected adults receiving anti-retroviral therapy have a high prevalence of food insecurity in both high- and low-income settings., Women bear an inequitable burden of food insecurity due to lack of control over resources and over household food allocation decision-making. The few studies conducted on the association between food insecurity and gender among HIV-infected adults have inconclusive findings. Therefore, the objective of this systematic review and meta-analysis was to estimate the pooled effect of gender on food insecurity among HIV-infected adults receiving antiretroviral therapy.MethodWe conducted an electronic, web-based search using PubMed, CINAHL, PopLine, MedNar, Embase, Cochrane library, the JBI Library, the Web of Science and Google Scholar. We included studies which reported the association between food insecurity and gender among HIV-infected adults receiving antiretroviral therapy whose age was greater than 18 years. The analysis was conducted using STATA 14 software. A random effects model was used to estimate the pooled effect a 95% confidence interval(CI). Forest plots were used to visualize the presence of heterogeneity. Funnel plots and Egger’s and Begg’s tests were used to check for publication bias.ResultsA total of 776 studies were identified of which seventeen studies were included in the meta-analysis, with a total of 5827 HIV infected adults receiving antiretroviral therapy. We found that the gender of HIV-infected adults receiving anti-retroviral therapy had statistically significant effects on food insecurity. The pooled odds of developing food insecurity among female HIV infected adults receiving anti-retroviral therapy was 53% higher than male HIV infected adults (OR: 1.53, 95% CI: 1.29, 1.83). Our analysis indicate the findings of studies conducted in the high-income countries showed weakest associations between gender and food insecurity than those conducted in low- and middle-income countries.ConclusionOur systematic review and meta-analysis showed statistically significant effect of gender on food insecurity among HIV-infected adults receiving anti-retroviral therapy in which odds of food insecurity was higher among female HIV infected adults compared to male HIV-infected adults. These findings suggest that the need to include within food and nutrition interventions for HIV-infected adults receiving antiretroviral treatment, culture- and context-specific gender-based policies to address the sex/gender related vulnerability to food insecurity.