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The forecasting of evapotranspiration (ET) in some water-stressed regions remains a major challenge due to the lack of reliable and sufficient historical datasets. For efficient water balance, ET remains the major component and its proper forecasting and quantifying is of the utmost importance. This study utilises the 18-year (2001 to 2018) MODIS ET obtained from a drought-affected irrigation scheme in the Eastern Cape Province of South Africa. This study conducts a teleconnection evaluation between the satellite-derived evapotranspiration (ET) time series and other related remotely sensed parameters such as the Normalised Difference Vegetation Index (NDVI), Normalised Difference Water Index (NDWI), Normalised Difference Drought Index (NDDI), and precipitation (P). This comparative analysis was performed by adopting the Mann–Kendall (MK) test, Sequential Mann–Kendall (SQ-MK) test, and Multiple Linear Regression methods. Additionally, the ET detailed time-series analysis with the Keiskamma River streamflow (SF) and monthly volumes of the Sandile Dam, which are water supply sources close to the study area, was performed using the Wavelet Analysis, Breaks for Additive Seasonal and Trend (BFAST), Theil–Sen statistic, and Correlation statistics. The MODIS-obtained ET was then forecasted using the Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANNs) for a period of 5 years and four modelling performance evaluations such as the Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and the Pearson Correlation Coefficient (R) were used to evaluate the model performances. The results of this study proved that ET could be forecasted using these two time-series modeling tools; however, the ARIMA modelling technique achieved lesser values according to the four statistical modelling techniques employed with the RMSE for the ARIMA = 37.58, over the ANN = 44.18; the MAE for the ARIMA = 32.37, over the ANN = 35.88; the MAPE for the ARIMA = 17.26, over the ANN = 24.26; and for the R ARIMA = 0.94 with the ANN = 0.86. These results are interesting as they give hope to water managers at the irrigation scheme and equally serve as a tool to effectively manage the irrigation scheme.

Over recent decades, water quality at the Mthatha River Catchment (MRC) within the Eastern Cape Province of South Africa has been threatened by various pollutants. The continuous effluent concentration discharges from the Mthatha Prison and the Efata School for the Blind and Deaf have caused ineffable damage to the Mthatha River's water quality. Thus, the time series-measured data between 2012 and 2020 were analysed to determine the trends and enable forecasting of selected water quality parameters using the Thomas–Fiering (T–F) stochastic model. The Kendall's τ test trends show an increase in the coefficient of variation of 0.498 and 0.394 at the Mthatha Prison and Efata School, respectively, for abrupt changes, whereas the mean monthly T–F forecasted model shows a good correlation value range from 0.79 to 0.87 for the various predicted variables. The simulated predicted models and trends could serve as a measure to forecast selected water quality parameters' occurrence and a likelihood period when the river pollutants could be controlled. Water managers and researchers would find usefulness in the employed tools for an effective control planning of the river pollutants. HIGHLIGHTS Innovative ways for analysing and forecasting water quality (WQ) parameters.; Prerequisite for prompt mitigation measures in maintaining a healthy river state.; Contribution to the statistical approach, visual modelling, and predictive algorithms.;

Background: Overnutrition has been documented at epidemic levels in children and adults. The associated risk factors may include poor dietary habits, sedentary behaviour, inadequate sleep and low parental education. Objective: To describe dietary habits, physical activity and sleep patterns among secondary school adolescents. Methods: A cross-sectional study of 1,120 adolescents recruited from public and private secondary schools in Lagos, Nigeria, was carried out to study the dietary habits, sleep patterns and physical activity in relation to nutritional status. Results: Ten per cent of the adolescents skipped breakfast, while 28% had fruits on up to five days of the week. Eleven per cent had a sweetened drink every day, while 20 % had a sweetened drink on most days of the week. One out of four (26%) adolescents had more than two hours of screen time daily, and only 5% engaged in sporting activities up to five times weekly. One-third of the students slept for less than six hours daily and experienced sleeping difficulties. Multivariate analysis showed that females were twice as likely not to participate in sports (OR = 2.38, CI = 1.3-4.37, p = 0.002 and to have a higher intake of confectionaries (OR = 1.47, CI = 1.07-2.04, p = 0.01. Conclusion: Poor dietary habits, inadequate physical activity and insufficient sleep were observed among secondary school adolescents. A multi-pronged approach to improve these behaviours is recommended.

Background: The global increase in paediatric endocrine disorders (PED) is thought to be a result of multiple factors including changing lifestyles, environmental pollution and increasing awareness and diagnostic capabilities. Studies on the prevalence of paediatric endocrine disorders in the developing world are few. A preliminary audit of PED at the Lagos State University Teaching Hospital two years ago revealed type 1 diabetes mellitus as the commonest diagnosis. Since then many more children with PED continue to be referred from various centres. Objective: The aim of the present study was to describe the burden and pattern paediatric endocrine disorders over a three-year period. Subjects and Methods: Records of patients who presented in the paediatric endocrine unit between March 2017 and March 2020 were reviewed and relevant data on age at presentation, sex and diagnosis were extracted. Results: A total of 172 patients representing 0.45% of the total paediatric patients seen within the period. There were more females 90(52.3%) than males 79(45.9%) and three patients (1.7%) presented with disorders of sexual differentiation. Age of presentation ranged between 11 days and 16 years with mean of 6.27 ± 4.5 years. The commonest groups of endocrine disorders were disorders of pancreas/lipids-diabetes (n=33, 19.2%), pubertal disorders (n=25, 14.5%) and thyroid disorders (n=24, 14.0%). Conclusion: Our unit witnessed a comparatively larger case-load of PEDs compared to earlier reports from other parts of Nigeria. Diabetes mellitus, pubertal and thyroid disorders constituted the commonest paediatric endocrine disorders encountered.

Cerebrovascular accident (CVA) is a rare neurological complication of diabetic ketoacidosis (DKA) in the paediatric population. The risk of developing CVA in DKA patients is often increased due to abnormalities in coagulation factors, platelet activation, blood volume and flow, and vascular reactivity. Cerebral oedema, the most common neurological complication of DKA, may also predispose to CVA. We report the case of a -12-year-old adolescent with DKA complicated by CVA. She developed features of right hemispheric CVA while on admission and had radiological confirmation of an ischaemic CVA. This report highlights that cerebrovascular accidents in DKA can easily be missed or confused with cerebral oedema.

Cushing syndrome (CS) is an uncommon morbidity in children. As a result of this rarity, there may be a delay in making the diagnosis or it may be missed completely resulting in progression to life-threatening complications. COVID-19 is an infectious disease that is currently the cause of a global pandemic although it affects children less commonly than adults. Our patient developed CS in early infancy which was diagnosed by elevated serum cortisol and left adrenal adenoma on abdominal magnetic resonance imaging (MRI). Unfortunately, the diagnosis of CS was missed earlier thereby delaying treatment and she also contracted the COVID-19 infection. The presence of these two medical conditions in a very young child may have resulted in a more advanced diseased state and increased chances of a poor outcome. A high index of suspicion for CS is necessary to forestall delay in commencement of appropriate treatment. Parental consent was obtained to publish this report.

Obesity is a major public health problem in the world with increasing prevalence among children and adolescents. The current study was a descriptive crosssectional study involving 1100 students attending public and private secondary schools in Lagos. Calculations of body mass index (BMI) were performed, and 513 males and 587 females aged between 10 and 19 years were studied. Prevalence rates of overweight and obesity were 5.8% and 1.7% respectively; females had higher prevalence rates than males. Prevalence rates of overweight and obesity in private schools were higher than in public schools. [ABSTRACT FROM AUTHOR]

This paper presents the application of a new evolutionary algorithm technique called combined Pareto multi-objective differential evolution (CPMDE) to optimize irrigation water allocation and crop distribution under limited water availability with three different crops (maize, potatoes and groundnut) planted on a 100 ha farmland at Vaalharts irrigation scheme, South Africa. The algorithm combines methods of Pareto ranking and Pareto dominance selections to implement a novel selection scheme at each generation. The ability of CPMDE in solving unconstrained, constrained and real-world optimization problems was demonstrated. The two objectives of the model are to maximize total crop net benefit (NB) over a planting season while minimizing total irrigation water allocation. A set of non-dominated solutions with the high NBs at lower irrigation water allocation for three crop types was obtained, and compromise programming approach was used in evaluating the most favourable solution. The best solution shows that maize produced the highest crop yield under limited water allocation in the study area. Comparing this result with that of a previous study which adopted a multi-objective optimization algorithm called multi-objective differential evolution algorithm, CPMDE is a good and robust alternative algorithm suitable for resolving crop distribution under limited water availability.

Background: Pregnancy and delivery deaths represent a risk to women, particularly those living in low- and middle-income countries (LMICs). This population-based survey was conducted to provide estimates of the maternal mortality ratio (MMR) in Lagos Nigeria., Methods: A community-based, cross-sectional study was conducted in mapped Wards and Enumeration Areas (EA) of all Local Government Areas (LGAs) in Lagos, among 9,986 women of reproductive age (15-49 years) from April to August 2022 using a 2-stage cluster sampling technique. A semi-structured, pre-tested questionnaire adapted from nationally representative surveys was administered using REDCap by trained field assistants for data collection on socio-demographics, reproductive health, fertility, and maternal mortality. Data were analysed using SPSS and MMR was estimated using the indirect sisterhood method. Ethical approval was obtained from the Lagos State University Teaching Hospital Health Research and Ethics Committee., Results: Most of the respondents (28.7%) were aged 25-29 years. Out of 546 deceased sisters reported, 120 (22%) died from maternal causes. Sisters of the deceased aged 20-24 reported almost half of the deaths (46.7%) as due to maternal causes, while those aged 45-49 reported the highest number of deceased sisters who died from other causes (90.2%). The total fertility rate (TFR) was calculated as 3.807, the Lifetime Risk (LTR) of maternal death was 0.0196 or 1-in-51, and the MMR was 430 per 100,000 [95% CI: 360-510]., Conclusion: Our findings show that the maternal mortality rate for Lagos remains unacceptable and has not changed significantly over time in actual terms. There is need to develop and intensify community-based intervention strategies, programs for private hospitals, monitor MMR trends, identify and contextually address barriers at all levels of maternal care., (© 2024. The Author(s).)

Background: Current guidelines recommend genetic testing for all patients with pancreatic cancer (PC)., Methods: Patients with localized PC who received neoadjuvant therapy between 2009 and 2018 were identified. Genetic consultation (including personal and family history of cancer), genetic testing, and variant data were abstracted., Results: Of 510 patients identified, 163 (32%) underwent genetic counseling and genetic testing was performed in 127 (25%). Patients who underwent genetic testing were younger (median age: 63 vs. 67, p = 0.01). Multi-gene testing was performed in 114 (90%) of 127 patients, targeted gene testing was performed in 8 (6%), and not specified in 5 (4%). Of 127 patients who underwent genetic testing, 20 (16%) had pathogenic (P)/likely pathogenic (LP) variants, observed in ATM (n = 7/105,7%), CHEK2 (n = 3/98, 3%), BRCA1 (n = 2/117, 2%), BRCA2 (n = 2/122, 2%), PALB2 (n = 1/115, 1%), MUTYH (n = 1/98, 1%), CDKN2A (n = 1/94, 1%), STK11 (n = 1/97, 1%), NBN (n = 1/98, 1%), and MSH6 (n = 1/97, 1%). Of 20 patients with either a P/LP variant, nine (45%) had a prior cancer, three (15%) had a first-degree relative with PC, and six (30%) had an any-degree relative with PC., Conclusion: Pathogenic/likely pathogenic variants were identified in 16% of patients who underwent genetic testing, 60% of which occurred in the homologous recombination pathway., (Copyright © 2020. Published by Elsevier Ltd.)