Soil-transmitted helminthiasis (STH) endemicity and performance of preventive chemotherapy intervention programme in Nigeria (in year 2021).

Preventive chemotherapy (PC) is an important tool to address transmission and reduce morbidities associated with soil-transmitted helminths (STHs). The aim of the study is to assess the PC implementation programme coverage and relate the same to the endemicity of STH in Nigeria. The secondary data collected by the World Health Organization (WHO) through the expanded special project for elimination of neglected tropical diseases (ESPEN) and made available at the ESPEN portal was used for the study. The PC implementation coverage and frequency of treatment were evaluated and related to STH endemicity levels in Nigeria. STH was actively transmitted in all six geopolitical zones of Nigeria. The southern part of Nigeria was more endemic compared with northern Nigeria. There was no PC intervention in preschoolers and effective PC coverage (19.3%) fell below the WHO ≥ 75% PC coverage index benchmark in school children. The percentages of children that harbour low, moderate, and high STH infections were 41.5, 41.6, and 13.4%, respectively. Multiple treatments did not necessarily reduce the endemicity of STH on certain occasions. STH continues to be a public health threat in Nigeria. The current treatment strategies should be reviewed to accommodate preschoolers in PC implementation programmes. Treatment should be integrated with the WASH programme in order to achieve a lasting impact.

Vaccination compliance of selected childhood immunization programs and the socio-determinant factors in Nigeria.

INTRODUCTION: Adherence to full vaccination is important in preventing childhood diseases. The aim of this study was to evaluate the level of compliance to full vaccination and identify the socio-cultural factors associated with full vaccination compliance in children. METHODOLOGY: The socioeconomic variables associated with each of the four binary dependent variables of whether or not a child is fully vaccinated against tetanus, BCG, measles, and pentavalent were determined using logistic regression. RESULTS: While compliance to full tetanus and BCG vaccinations was > 60% at the national level, less than 50% and 10% full vaccination compliance were recorded for pentavalent and measles vaccinations, respectively. The South East region of Nigeria recorded the overall highest full vaccination compliance while the least performing region was the North West zone. The mother or guardian literacy level, employment status, antenatal care attendance, and internet usage were strong predictors of full vaccination compliance (p < 0.05). CONCLUSIONS: The socio-cultural factors associated with achieving full vaccination coverage in Nigeria in this study should drive the implementation of policies that will be best suited to each geopolitical zone of Nigeria.

Malaria transmission in Africa: Its relationship with yellow fever and measles.

BACKGROUND: Malaria has been strongly linked to the transmission and pathophysiology of some viral diseases. Malaria and vaccine-preventable diseases often co-exist in endemic countries but the implication of their co-existence on their transmission dynamics and control is poorly understood. The study aims to evaluate the relationships between the incidence of malaria and cases of measles and yellow fever in Africa. METHODS: The malaria incidence, death due to malaria, measles and yellow fever data were sourced from the WHO database. Poisson and zero-inflated time-trend regression were used to model the relationships between malaria and the two vaccine-preventable diseases. P-values <0.05 were considered statistically significant. RESULTS: A significant negative relationship existed between malaria incidence and measles cases (P<0.05), however, malaria showed a positive relationship with yellow fever (P<0.05). The relationships between death due to malaria and measles/yellow fever cases followed similar trends but with a higher level of statistical significance (P<0.001). CONCLUSIONS: Malaria varied negatively with measles cases but positively with yellow fever. The relationships observed in this study could be important for the management of malaria and the studied vaccine-preventable diseases. Increase vaccination coverage and/or malaria treatment could modulate the direction of these relationships.

COVID-19 pandemic: an online-based survey of knowledge, perception, and adherence to preventive measures among educated Nigerian adults.

Aims: One of the ways to manage the current coronavirus disease 2019 (COVID-19) pandemic is to monitor the public knowledge, risk perceptions, adherence to preventive measures, and level of preparedness behaviors. This is important in resource-limited countries. This study determined the knowledge and perception regarding COVID-19; adherence to COVID-19 preventive measures; as well as predictors of self-perceived risk of contracting COVID-19 among Nigerian adults. Methods: A cross-sectional study was conducted among Nigerian adults ≥18 years using an online survey. A convenience sampling method was utilized to recruit a total of 1022 study participants. The participants were recruited using the authors' social media networks. Data were analyzed using descriptive and inferential statistics at a 5% level of statistical significance. Results: Generally, a high proportion of respondents had correct knowledge about COVID-19. However, only approximately half (49.8% and 49.9%) had correct knowledge that obesity was a risk factor for COVID-19 and that antibiotics cannot be used to treat COVID-19. Most (84.1%) did not have a self-perceived risk of contracting COVID-19. Most (81.0%) have been avoiding crowded places and 61.3% washed their hands frequently. Predictors of self-perceived risk of COVID-19 were age 40-59 years (OR 2.05, CI 1.217-3.435), ≥ 60 years (OR 4.68, CI 1.888-11.583), and visiting crowded places (OR 2.27, CI 1.499-3.448). Conclusion: Our study recommends more rigorous public health education aimed at improving COVID-19 outbreak response in Nigeria. In addition, physical and social distancing should be emphasized across all age groups with additional focus on the older population.

Modeling the relationship between malaria prevalence and insecticide-treated bed net coverage in Nigeria using a Bayesian spatial generalized linear mixed model with a Leroux prior.

OBJECTIVES: To evaluate malaria transmission in relation to insecticide-treated net (ITN) coverage in Nigeria. METHODS: We used an exploratory analysis approach to evaluate variation in malaria transmission in relation to ITN distribution in 1,325 Demographic and Health Survey clusters in Nigeria. A Bayesian spatial generalized linear mixed model with a Leroux conditional autoregressive prior for the random effects was used to model the spatial and contextual variation in malaria prevalence and ITN distribution after adjusting for environmental variables. RESULTS: Spatial smoothed maps showed the nationwide distribution of malaria and ITN. The distribution of ITN varied significantly across the 6 geopolitical zones (p<0.05). The North-East had the least ITN distribution (0.196±0.071), while ITN distribution was highest in the South-South (0.309±0.075). ITN coverage was also higher in rural areas (0.281±0.074) than in urban areas (0.240±0.096, p<0.05). The Bayesian hierarchical regression results showed a non-significant negative relationship between malaria prevalence and ITN coverage, but a significant spatial structured random effect and unstructured random effect. The correlates of malaria transmission included rainfall, maximum temperature, and proximity to water. CONCLUSIONS: Reduction in malaria transmission was not significantly related to ITN coverage, although much could be achieved in attempts to curtail malaria transmission through enhanced ITN coverage. A multifaceted and integrated approach to malaria control is strongly advocated.

Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria.

In this study, we propose a robust approach to handling geo-referenced data and discuss its statistical analysis. The linear regression model has been found inappropriate in this type of study. This motivates us to redefine its error structure to incorporate the spatial components inherent in the data into the model. Therefore, four spatial models emanated from the re-definition of the error structure. We fitted the spatial and the non-spatial linear model to the precipitation data and compared their results. All the spatial models outperformed the non-spatial model. The Spatial Autoregressive with additional autoregressive error structure (SARAR) model is the most adequate among the spatial models. Furthermore, we identified the hot and cold spot locations of precipitation and their spatial distribution in the study area.

Spatio-temporal analysis of association between incidence of malaria and environmental predictors of malaria transmission in Nigeria.

Malaria still poses a significant threat in Nigeria despite the various efforts to abate its transmission. Certain environmental factors have been implicated to increase the risk of malaria in Nigeria and other affected countries. The study aimed to evaluate the spatial and temporal association between the incidence of malaria and some environmental risk factors in Nigeria. The study used malaria incidence and environmental risk factors data emanating from 2015 Nigeria Malaria Indicator Survey accessed from the Demographic and Health Survey database. A total of 333 and 326 clusters throughout the country were used for malaria incidence study and environmental variables respectively. The spatial autocorrelation of malaria incidence and hotspot analysis was determined by the Moran's diagram and local Moran's I index, respectively. The relationships between the malaria incidence and the ecological predictors of transmission were analysed in all the six geopolitical zones of Nigeria from 2000-2015 using ordinary least square (OLS), spatial lag model (SLM), and spatial error model (SEM). Annual rainfall, precipitation and proximity to water showed significant positive relationship with the incidence rate of malaria in the OLS model (P < 0.01), whereas aridity was negatively related to malaria incidence (P < 0.001) in the same model. The rate of incidence of malaria increased significantly with increase in temperature, aridity, rainfall and proximity to water in the SEM whereas only temperature and proximity to water have significant positive effect on malaria incidence in the SLM. The modelling of the ecological predictors of malaria transmission and spatial maps provided in this study could aid in developing framework to mitigate malaria and identify its hotspots for urgent intervention in the endemic regions.