Using the Servoual Model to Evaluate the Service Delivery of the Consumer Protection Council in Nigeria

This study is an in-depth empirical investigation that seeks to compare consumer expectations to perceptions in the delivery of services in the consumer protection council (CPC) in Nigeria. The aim of this study is to use SERVQUAL instrument to ascertain any actual or perceive gap between consumer expectations and perceptions of the service offered by the council. The objectives are to ascertain the tangible, reliability, assurance, responsiveness and empathy dimensions of the service quality by measuring consumers’ expectations to perceptions using the twenty-two (22) statements developed in the modified five dimension SERVQUAL. The questionnaire was subjected to reliability and validity tests. Seven research questions and seven hypotheses were formulated and tested. The statistical analysis used are mean, paired t-test and one-way analysis of variance (ANOVA). Findings show that there are no significant differences between the expectation and perceived CPC services for the five SERVQUAL dimensions.The study sets a ground for further research in evaluating service deliveries performance in other service industries in Nigeria such as NAFDAC, SON etc by applying both technical and image quality. Keywords: Servqual, NAFDAC, t-test, ANOVA

Effects of Some Coding Techniques On Multicolinearity and Model Statistics

Two known methods of coding data for analyses in the presence of multicollinearity and evaluation of model performance viz: Dummy coding and Effect coding which are alternatives to each other were considered. Efforts were made to improve on their performances by modifying them as modified Dummy coding and modified Effect coding respectively and their performances of the now coding methods compared in this paper. The results show that all coding methods significantly reduced the effect of multicollinearity. The effect coding was found to be the best coding method in remedying multicollinearity while closely followed by the dummy coding. However, the proposed modified dummy coding gave the best R-squared values as well as F-values while still reducing the effect of multicollinearity to a great extent and closely followed by modified effect coding. The dummy and effect coding methods proved very efficient in remedying multicollinearity as their observed variance inflation factor (VIF) were all close to unity. Keywords: Dummy coding, effect coding, multicollinearity, variance inflation factor

Analysis of Control Measures for Vector-borne Diseases Using a Multistage Vector Model with Multi-Host Sub-populations

We propose and analyze an epidemiological model for vector borne diseases that integrates a multi-stage vector population and several host sub-populations which may be characterized by a variety of compartmental model types: subpopulations all include Susceptible and Infected compartments, but may or may not include Exposed and/or Recovered compartments. The model was originally designed to evaluate the effectiveness of various prophylactic measures in malaria-endemic areas, but can be applied as well to other vector-borne diseases. This model is expressed as a system of several differential equations, where the number of equations depends on the particular assumptions of the model. We compute the basic reproduction number $\mathcal R_0$, and show that if $\mathcal R_0\leqslant 1$, the disease free equilibrium (DFE) is globally asymptotically stable (GAS) on the nonnegative orthant. If $\mathcal R_0>1$, the system admits a unique endemic equilibrium (EE) that is GAS. We analyze the sensitivity of $R_0$ and the EE to different system parameters, and based on this analysis we discuss the relative effectiveness of different control measures.Comment: 42 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:1808.0757

Microbiological safety assessment of food handlers in Wudil Local Government Area of Kano State, Nigeria

This study was conducted to investigate the bacteriological safety levels of food handlers in Wudil Local Government Area (LGA) of Kano State, Nigeria. A total of 200 hand-swab samples were collected from different male [100 (50%)] and female [100 (50%)] food handlers/peddlers in the study area. From these samples, 200 non-duplicate bacterial isolates consisting of strains of Salmonella typhi [60 (30%)], Salmonella choleraesuis [52 (26%)], Proteus mirabilis [10 (5%)], Morganella morganii [10 (5%)], Pseudomonas aeruginosa [10 (5%)], Escherichia coli [18 (9%)] and Staphylococcus aureus [40 (20%)] were isolated. A significant proportion (33.3%) of the food handlers sampled was children within the age range of 8-12 years. In addition, only 33.5% of the food handlers had basic level of primary education and a majority (96.5%) of the food handlers displayed poor levels of personal hygiene, especially with regards to safe food handling. S. typhi, S. cholaeresius and S. aureus were found to be the common bacterial species that colonized the hands of food handlers/peddlers in Wudil LGA, Kano State. This highlights a lack of food safety and the resulting risk of spreading foodborne diseases in the area. In addition, low literacy levels and lack of safe food handling practices contribute to the prevalence of these pathogens among the food handlers. It is important for food handlers to obtain training on safe food practices, undergo periodic health checks and practice proper hand hygiene. DOI: http://dx.doi.org/10.5281/zenodo.381334

The moderating role of resilience in the relationship between marital stress and depression

The study investigated the moderating role of resilience in the relationship between marital stress and depression among married teachers, with one hundred thirty-five (135) married teachers that comprises of 102 females and 33 males with an age mean of 32.20 and S.D 3.81 selected as participants using multi-stage (cluster, simple: balloting, and purposive) sampling techniques. Zung (1965) Self-rating Depression Scale (SDS), Omoluabi (1994) marital stress Inventory (MSI) and Connor and Davidson (2003). Connor-Davidson Resilience Scale (CD-RISC) were used for data collection, a cross-sectional survey design was adopted, while a moderated hierarchical multiple regression was used for data analysis. The finding shows that marital stress St= .551*** and t= 7.608*** at p< .001 positively predicted depression, Resilience St= -.517*** and t= -6.962*** at p< .001 negatively predicted depression among school teachers and Resilience St= -.748***and t= -7.178*** at p< .001 negatively moderated the relationship between marital stress and depression. Hence, school management can consider hiring psychologists to work with teachers to improve their resilience or educate them on the importance of resilience in managing depression

Management staff’s perspectives on intervention strategies for workplace violence prevention in a tertiary health facility in Nigeria: a qualitative study

IntroductionHealth workers have increasingly become victims of workplace violence. However, negligible action has been given to developing workplace violence (WPV) prevention programs in hospital settings in low-middle-income countries. An effective workplace violence prevention program is crucial for preventing violence and managing the consequences of incidents. This study assessed management staff perspectives on intervention strategies for workplace violence prevention in a tertiary health facility in Nigeria.MethodsA qualitative study design was employed to explore the intervention strategies for preventing and managing workplace violence at a tertiary health facility in southeast Nigeria. Six focus group discussions were conducted with thirty-eight management-level staff. The interview transcripts were manually coded according to six predefined constructs of workplace violence: creating interdisciplinary harmony and WPV experiences, causes, prevention, program/policy contents, and implementation strategies. A manual thematic analysis approach was adopted, and the results were presented as narratives.ResultsThe findings revealed recognition, welfare, administrative control, and security as vital strategies for the WPV prevention program. The participants agreed that unanimity among staff could be promoted through respect for all cadres of staff and for people’s perspectives (creating interdisciplinary harmony). Assaults and staff intimidation/victimization (experiences), attributed to unethical/poor health workers’ behaviour and ethnic discrimination (causes), were viewed as preventable by ensuring patients’/caregivers’ welfare through respectful and timely care and staff’s welfare through incentives/remunerations and discouraging intimidation (prevention strategies). Furthermore, the staff expressed that the WPV program should employ administrative controls, including instituting WPV policy/unit, codes of ethics, and standard operating procedures across all workplace facets (program/policy contents), which should be implemented through awareness creation, enforcement of sanctions, and provision of appropriate and adequate security presence in the hospital (policy implementation strategies).ConclusionRespect, patient/staff welfare, administrative control, and security are strong mechanisms to prevent workplace violence in tertiary hospitals. Hospital management should institutionalize workplace violence prevention programs/policies and ensure compliance

Online cognitive-behavioral intervention for stress among English as a second language teachers: implications for school health policy

IntroductionStress is one of the highest-ranked work-related injuries worldwide and has become almost universal among the Nigerian workforce. English as a Second Language (ESL) teachers face enormous work-related threats that lead to occupational stress. When ESL teachers are stressed, students' language development and entire educational progress are at risk. This is mostly underscored as English, though a second language, serves as the language of instruction in Nigerian schools. As a result, managing occupational stress is particularly important for ESL teachers, as it is among the definitive ways of improving ESL learning and overall educational outcomes. This study examined the effectiveness of online cognitive behavioral intervention (o-CBI) in lowering occupational stress among ESL teachers.MethodESL teachers with at least 1 year of experience were among the participants (N = 89). Participants were divided into two groups: the intervention group (N = 44) and the control group (N = 45). For 9 weeks, the experimental group engaged in nine sessions of 2 h of the o-CBI program. The Single Item Stress Questionnaire (SISQ), the Satisfaction with Therapy and Therapist Scale-Revised (STTS–R), and the Teachers' Stress Inventory (TSI) were the measures used to collect primary and secondary data. Four sets of data were collected at baseline, post-test, and follow-up 1 and 2 evaluations. The data were analyzed using mean, standard deviation, t-test statistics, repeated measures ANOVA, and bar charts.Results and discussionCompared to the control group, the o-CBT group had significantly lower TSI scores at the post-test (Time 2) and follow-up evaluations (Times 3 and 4). Between pre-, post-, and follow-up 1 and 2 measurements, there were no significant differences in occupational stress index scores in the control group. It was concluded that o-CBI is effective in job-stress treatment among ESL teachers. In addition, implications for school health policy are discussed. The o-CBI for occupational stress was well received by the participants, showing high acceptability among ESL teachers

Experiences of Red River Métis Accessing COVID Vaccines: A partnership-based, whole-population linked administrative data study.

Objectives Red River Métis are Indigenous people hailing from the Canadian Prairies who have historically experienced poor health outcomes due to colonial practices. Researchers from the Manitoba Métis Federation (MMF) partnered with health services researchers to test whether MMF-led COVID initiatives were associated with access to COVID-19 testing and vaccines. Approach We linked the Métis Population Data-Base from the MMF (to identify Red River Métis) with whole-population COVID testing and vaccination data and health and social services administrative data (for information on sociodemographics and confounders) to complete this retrospective cohort study. We used restricted mean survival time models to test whether COVID-19 vaccination differed between Métis and all other Manitobans (AOM); models adjusted for demographics, comorbidities, and other characteristics (age, socioeconomic status, urbanicity, and mental health status). Data were stratified by sex and subsequent effect modification analyses tested whether associations differed by sex and physical health comorbidities. Results COVID testing rates were lower during the first year of the pandemic among Métis than among AOM. During the second year of the pandemic, this finding was reversed - Métis accessed tests at higher rates. There was no difference between Métis and AOM in accessing first vaccine doses before implementation of MMF-led initiatives. After initiatives were put in place, Métis received their second COVID vaccine, on average, 1.3 (95% CI 1.9-0.6) days sooner than AOM, after adjusting for confounders. Effect modification analyses showed this relationship was concentrated among females – female Métis received their second vaccine 1.7 (2.6-0.8) days sooner than female AOM; differences were non-significant for males. Métis with 2+ comorbidities received their vaccine second 2.9 (5.3-0.5) days sooner than AOM with 2+ comorbidities. Conclusion Public health initiatives prioritizing Métis for vaccines improved uptake. Initiatives led by Métis to improve COVID outcomes were critical to supporting Métis during the course of the pandemic. Public health response efforts need to operate from a standpoint that honours Indigenous sovereignty in their design and implementation

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic