PRISIMA flow diagram of studies to be identified.

IntroductionEthiopia is experiencing high prevalence of occupational morbidity and disability. One of the main contributing reasons is a low utilization of personal protective equipment (PPE). Previous studies on PPE utilization and association with educational status among industry workers were largely inconsistent. Therefore, this meta-analysis is aimed to pool the magnitude of PPE utilization and its association with educational status among industry workers in Ethiopia.MethodA compressive search of international databases and libraries including Scopus, PubMed, MedNar, Embase, MEDLINE, the web of science, Google Scholar, the JBI Library, African Journals Online, and Science direct will be carried out to locate published reports. Two independent reviewers will screen the records for inclusion using standardized JBI tools. Before extracting and synthesizing data, the selected studies will undergo a rigorous critical appraisal. If appropriate, a meta-analysis will be conducted. Cochrane Q-test and I2-test statistics will be used to assess the heterogeneity between studies. If necessary, meta-regression and subgroup analyses will be conducted to explore potential reasons for any inconsistency and heterogeneity. Sensitivity analysis will be performed to assess the effect of a single study on the pooled magnitude estimates. Funnel plots, along with Egger’s and Begg’s tests, will be used to assess the presence of publication bias.PROSPERO registration number: PROSPERO, CRD42022364562</div

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IntroductionEthiopia is experiencing high prevalence of occupational morbidity and disability. One of the main contributing reasons is a low utilization of personal protective equipment (PPE). Previous studies on PPE utilization and association with educational status among industry workers were largely inconsistent. Therefore, this meta-analysis is aimed to pool the magnitude of PPE utilization and its association with educational status among industry workers in Ethiopia.MethodA compressive search of international databases and libraries including Scopus, PubMed, MedNar, Embase, MEDLINE, the web of science, Google Scholar, the JBI Library, African Journals Online, and Science direct will be carried out to locate published reports. Two independent reviewers will screen the records for inclusion using standardized JBI tools. Before extracting and synthesizing data, the selected studies will undergo a rigorous critical appraisal. If appropriate, a meta-analysis will be conducted. Cochrane Q-test and I2-test statistics will be used to assess the heterogeneity between studies. If necessary, meta-regression and subgroup analyses will be conducted to explore potential reasons for any inconsistency and heterogeneity. Sensitivity analysis will be performed to assess the effect of a single study on the pooled magnitude estimates. Funnel plots, along with Egger’s and Begg’s tests, will be used to assess the presence of publication bias.PROSPERO registration number: PROSPERO, CRD42022364562</div

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IntroductionEthiopia is experiencing high prevalence of occupational morbidity and disability. One of the main contributing reasons is a low utilization of personal protective equipment (PPE). Previous studies on PPE utilization and association with educational status among industry workers were largely inconsistent. Therefore, this meta-analysis is aimed to pool the magnitude of PPE utilization and its association with educational status among industry workers in Ethiopia.MethodA compressive search of international databases and libraries including Scopus, PubMed, MedNar, Embase, MEDLINE, the web of science, Google Scholar, the JBI Library, African Journals Online, and Science direct will be carried out to locate published reports. Two independent reviewers will screen the records for inclusion using standardized JBI tools. Before extracting and synthesizing data, the selected studies will undergo a rigorous critical appraisal. If appropriate, a meta-analysis will be conducted. Cochrane Q-test and I2-test statistics will be used to assess the heterogeneity between studies. If necessary, meta-regression and subgroup analyses will be conducted to explore potential reasons for any inconsistency and heterogeneity. Sensitivity analysis will be performed to assess the effect of a single study on the pooled magnitude estimates. Funnel plots, along with Egger’s and Begg’s tests, will be used to assess the presence of publication bias.PROSPERO registration number: PROSPERO, CRD42022364562</div

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IntroductionEthiopia is experiencing high prevalence of occupational morbidity and disability. One of the main contributing reasons is a low utilization of personal protective equipment (PPE). Previous studies on PPE utilization and association with educational status among industry workers were largely inconsistent. Therefore, this meta-analysis is aimed to pool the magnitude of PPE utilization and its association with educational status among industry workers in Ethiopia.MethodA compressive search of international databases and libraries including Scopus, PubMed, MedNar, Embase, MEDLINE, the web of science, Google Scholar, the JBI Library, African Journals Online, and Science direct will be carried out to locate published reports. Two independent reviewers will screen the records for inclusion using standardized JBI tools. Before extracting and synthesizing data, the selected studies will undergo a rigorous critical appraisal. If appropriate, a meta-analysis will be conducted. Cochrane Q-test and I2-test statistics will be used to assess the heterogeneity between studies. If necessary, meta-regression and subgroup analyses will be conducted to explore potential reasons for any inconsistency and heterogeneity. Sensitivity analysis will be performed to assess the effect of a single study on the pooled magnitude estimates. Funnel plots, along with Egger’s and Begg’s tests, will be used to assess the presence of publication bias.PROSPERO registration number: PROSPERO, CRD42022364562</div

Mapping routine measles vaccination in low- and middle-income countries

The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1–4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5–8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children