Liver cancer was the fourth leading cause of cancer death in 2015 after lung, colorectal, and stomach cancer.¹ The most common type of primary liver cancer globally is hepatocellular carcinoma, followed by cholangiocarcinoma.² Liver cancer burden varies markedly by sex and geographic region due to risk factor exposure.³ Major risk factors include infections (hepatitis B virus [HBV], hepatitis C virus [HCV], liver flukes in endemic areas), behavioral factors (alcohol, tobacco), metabolic factors (excess body fatness), and aflatoxins.^4,5

The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) provides an up-to-date analysis of the burden of diarrhoeal diseases. This study assesses cases, deaths, and aetiologies spanning the past 25 years and informs the changing picture of diarrhoeal disease worldwide. We estimated diarrhoeal mortality by age, sex, geography, and year using the Cause of Death Ensemble Model (CODEm), a modelling platform shared across most causes of death in the GBD 2015 study. We modelled diarrhoeal morbidity, including incidence and prevalence, using a meta-regression platform called DisMod-MR. We estimated aetiologies for diarrhoeal diseases using a counterfactual approach that incorporates the aetiology-specific risk of diarrhoeal disease and the prevalence of the aetiology in diarrhoea episodes. We used the Socio-demographic Index, a summary indicator derived from measures of income per capita, educational attainment, and fertility, to assess trends in diarrhoeal mortality. The two leading risk factors for diarrhoea-childhood malnutrition and unsafe water, sanitation, and hygiene-were used in a decomposition analysis to establish the relative contribution of changes in diarrhoea disability-adjusted life-years (DALYs). Globally, in 2015, we estimate that diarrhoea was a leading cause of death among all ages (1·31 million deaths, 95% uncertainty interval [95% UI] 1·23 million to 1·39 million), as well as a leading cause of DALYs because of its disproportionate impact on young children (71·59 million DALYs, 66·44 million to 77·21 million). Diarrhoea was a common cause of death among children under 5 years old (499 000 deaths, 95% UI 447 000-558 000). The number of deaths due to diarrhoea decreased by an estimated 20·8% (95% UI 15·4-26·1) from 2005 to 2015. Rotavirus was the leading cause of diarrhoea deaths (199 000, 95% UI 165 000-241 000), followed by Shigella spp (164 300, 85 000-278 700) and Salmonella spp (90 300, 95% UI 34 100-183 100). Among children under 5 years old, the three aetiologies responsible for the most deaths were rotavirus, Cryptosporidium spp, and Shigella spp. Improvements in safe water and sanitation have decreased diarrhoeal DALYs by 13·4%, and reductions in childhood undernutrition have decreased diarrhoeal DALYs by 10·0% between 2005 and 2015. At the global level, deaths due to diarrhoeal diseases have decreased substantially in the past 25 years, although progress has been faster in some countries than others. Diarrhoea remains a largely preventable disease and cause of death, and continued efforts to improve access to safe water, sanitation, and childhood nutrition will be important in reducing the global burden of diarrhoea. Bill & Melinda Gates Foundation.

The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2015 provides an up-to-date analysis of the burden of lower respiratory tract infections (LRIs) in 195 countries. This study assesses cases, deaths, and aetiologies spanning the past 25 years and shows how the burden of LRI has changed in people of all ages. We estimated LRI mortality by age, sex, geography, and year using a modelling platform shared across most causes of death in the GBD 2015 study called the Cause of Death Ensemble model. We modelled LRI morbidity, including incidence and prevalence, using a meta-regression platform called DisMod-MR. We estimated aetiologies for LRI using two different counterfactual approaches, the first for viral pathogens, which incorporates the aetiology-specific risk of LRI and the prevalence of the aetiology in LRI episodes, and the second for bacterial pathogens, which uses a vaccine-probe approach. We used the Socio-demographic Index, which is a summary indicator derived from measures of income per capita, educational attainment, and fertility, to assess trends in LRI-related mortality. The two leading risk factors for LRI disability-adjusted life-years (DALYs), childhood undernutrition and air pollution, were used in a decomposition analysis to establish the relative contribution of changes in LRI DALYs. In 2015, we estimated that LRIs caused 2·74 million deaths (95% uncertainty interval [UI] 2·50 million to 2·86 million) and 103·0 million DALYs (95% UI 96·1 million to 109·1 million). LRIs have a disproportionate effect on children younger than 5 years, responsible for 704 000 deaths (95% UI 651 000-763 000) and 60.6 million DALYs (95ÙI 56·0-65·6). Between 2005 and 2015, the number of deaths due to LRI decreased by 36·9% (95% UI 31·6 to 42·0) in children younger than 5 years, and by 3·2% (95% UI -0·4 to 6·9) in all ages. Pneumococcal pneumonia caused 55·4% of LRI deaths in all ages, totalling 1 517 388 deaths (95% UI 857 940-2 183 791). Between 2005 and 2015, improvements in air pollution exposure were responsible for a 4·3% reduction in LRI DALYs and improvements in childhood undernutrition were responsible for an 8·9% reduction. LRIs are the leading infectious cause of death and the fifth-leading cause of death overall; they are the second-leading cause of DALYs. At the global level, the burden of LRIs has decreased dramatically in the last 10 years in children younger than 5 years, although the burden in people older than 70 years has increased in many regions. LRI remains a largely preventable disease and cause of death, and continued efforts to decrease indoor and ambient air pollution, improve childhood nutrition, and scale up the use of the pneumococcal conjugate vaccine in children and adults will be essential in reducing the global burden of LRI. Bill & Melinda Gates Foundation.

Reducing mortality among children younger than 5 years has been a focus of significant international attention for several decades, beginning with the Convention on the Rights of the Child, accelerating during the Millennium Development Goal era, and continuing with the Sustainable Development Goals (SDGs).^1-3 Global progress in reducing death in children younger than 5 years has been substantial,⁴ but much less attention has been focused on quantifying and minimizing mortality burden among older children and adolescents.⁵ Likewise, nonfatal health outcomes have received comparatively little attention despite the fact that injuries, noncommunicable diseases (NCDs), and acquired chronic conditions with childhood onset profoundly affect long-term health trajectories, future health care needs, intellectual development, and economic and productivity prospects.^6-8

Poor school sanitation and hygiene is a major problem in developing countries and remains high risk behaviour among primary school going children. Many outbreaks of gastrointestinal infections have been associated with primary schools. This research paper was designed to assess the factors influencing hygiene behaviour among school children. A cross sectional study was conducted in Mereb-Leke District, Tigray National Regional State among school children. The study population consisted of those who are in the second cycle as they are more mature and most senior in primary schools. A multi-stage probability sampling procedure with three stages was used to select participated schools. A total of 528 school children were randomly selected from students networking list of selected schools. Structured questionnaire and observational checklist at home and school setting were used to collect data. Statistical analysis was done using SPSS Version 17.0 after the data has been entered using Epi-Info version 3.5.3. Primarily variables that had p-value <0.2 at bivariate analysis were used to develop logistic model to identify factors influencing hygiene behaviour via crude and adjusted odds ratio. Children were grouped according to whether positive or negative hygiene behaviour outcome which permitted identifying factor affecting hygiene behaviour. Out of these, 326 (61.7%) had positive hygiene behaviour. The study found that knowledge s on water handling (AOR, 2.24; 95% CI 1.54, 3.26), hand washing (AOR, 1.70; 95% CI 1.12, 2.57) and awareness on water handling matters (AOR, 2.0; 95% CI 1.37, 2.90), hand washing practice (AOR, 2.36; 95% CI 1.62, 3.45) were significantly associated to hygiene behaviour status. Being a member of hygiene and sanitation club (COR 0.42; 95% CI 0.26, 0.68), parent’s health package status (COR 0.62; 95% CI 0.43, 0.90), training on hygiene and sanitation and experience of visiting model school (COR 1.99; 95% CI 1.37, 2.88) had significance difference in hygiene behaviour. This study has shown that knowledge, awareness, training on hygiene and sanitation, being a member of hygiene and sanitation club, experience of visiting model school, and parent’s health package status were factors influenced hygiene behaviour.

Ethiopia had an increasing trend of morbidity and mortality due to road traffic injury. Road traffic injured patient’s recovery rate is affected by many different factors. Those factors might affect the duration of time to recovery. Therefore studying the median time to recovery and its predictors of road traffic injured patients will be needed to act upon the patient’s hospital provided service. A retrospective cohort study design was employed. The study population was all admitted road traffic injured patients in Ayder tertiary hospital. We have used the total of all three-year RTI patients’ chart from 2015 to 2017 found in the hospital. After excluding incomplete charts for major variables the sample size was 322. Descriptive statistics, life table, Kaplan-Meier, log-rank test and assumptions of the Cox proportional hazard model was applied. Bi and multivariate Cox regression analysis, hazard ratios and associated 95% CI were estimated. Male to female RTI patient ratio was 3:1. Of the total 258(80.1%) had been recovered and the median survival time to recovery was 15 days (interquartile range 7–29). From those recovered, 104(40.3%) had been referred from other health facilities. Availability of referral form linkage [adjusted hazard ratio = 1.5, CI (1.1–1.9)], mild and moderate glass coma scale [adjusted hazard ratio = 2.3, CI (1.3–3.9)], conservative management [adjusted hazard ratio = 1.6, CI (1.2–2.1)], and not having organ injury [adjusted hazard ratio = 1.6, CI (1.1–2.3)] were associated with time to recovery in multivariate analysis. Median time to recovery of road traffic injured patients was relatively good. Being referred from another health facility, mild and moderate glass coma scale, conservative management and without organ injury was positively associated with time to recovery of road traffic injured patients. We would like to recommend for future prospective studies to determine the time to return to work of road traffic injured patients and quality of life after the injury.