The key role of socio-demographic and socio-environmental factors in urban malaria occurrence and control - An illustration using the city of Yaoundé

Malaria in under-five children: prevalence and multi-factor analysis of high-risk African countries

BACKGROUND

Malaria remains a significant public health challenge in Sub-Saharan Africa (SSA), particularly affecting under-five (UN5) children. Despite global efforts to control the disease, its prevalence in high-risk African countries continues to be alarming, with records of substantial morbidity and mortality rates. Understanding the association of multiple childhood, maternal, and household factors with malaria prevalence, especially among vulnerable young populations, is crucial for effective intervention strategies.

OBJECTIVE

This study examines the prevalence of malaria among UN5 children in selected high-risk SSA countries and analyzes its association with various childhood, maternal, and household factors.

METHODS

Data from the Malaria Indicator Surveys (MIS) spanning from 2010 to 2023 were analyzed. A weighted sample of 35,624 UN5 children from seven countries in sub-Saharan Africa (SSA) known for high malaria prevalence was considered in the analyses. Descriptive statistics and modified Poisson regression analysis were used to assess the association of multiple factors with malaria prevalence. Stata version 15 software was used in analyzing the data and statistical significance was set at a 5% significance level.

RESULTS

The overall pooled prevalence of malaria among the studied population was 26.2%, with substantial country-specific variations observed. In terms of child factors, a child's age was significantly associated with malaria prevalence (APR = 1.010, 95% CI: 1.007-1.012). Children of mothers with higher education levels (APR for higher education = 0.586, 95% CI: 0.425-0.806) and Fansidar uptake during pregnancy (APR = 0.731, 95% CI: 0.666-0.802) were associated with lower malaria risk. Children from middle-wealth (APR = 0.783, 95% CI: 0.706-0.869) and rich (APR = 0.499, 95% CI: 0.426-0.584) households had considerably lower malaria prevalence compared to those from poor households. Additionally, rural residency was associated with a higher risk of malaria compared to urban residency (APR = 1.545, 95% CI: 1.255-1.903).

CONCLUSION

The study highlights a notable malaria prevalence among under-five (UN5) children in high-risk SSA countries, influenced significantly by factors such as maternal education, Fansidar uptake during pregnancy, socioeconomic status, and residency. These findings underscore the importance of targeted malaria prevention strategies that address these key determinants to effectively reduce the malaria burden in this vulnerable population.

Identifying childhood malaria hotspots and risk factors in a Nigerian city using geostatistical modelling approach

Malaria ranks high among prevalent and ravaging infectious diseases in sub-Saharan Africa (SSA). The negative impacts, disease burden, and risk are higher among children and pregnant women as part of the most vulnerable groups to malaria in Nigeria. However, the burden of malaria is not even in space and time. This study explores the spatial variability of malaria prevalence among children under five years (U5) in medium-sized rapidly growing city of Akure, Nigeria using model-based geostatistical modeling (MBG) technique to predict U5 malaria burden at a 100 × 100 m grid, while the parameter estimation was done using Monte Carlo maximum likelihood method. The non-spatial logistic regression model shows that U5 malaria prevalence is significantly influenced by the usage of insecticide-treated nets-ITNs, window protection, and water source. Furthermore, the MBG model shows predicted U5 malaria prevalence in Akure is greater than 35% at certain locations while we were able to ascertain places with U5 prevalence > 10% (i.e. hotspots) using exceedance probability modelling which is a vital tool for policy development. The map provides place-based evidence on the spatial variation of U5 malaria in Akure, and direction on where intensified interventions are crucial for the reduction of U5 malaria burden and improvement of urban health in Akure, Nigeria.

[Interest of a geostatistical approach to analyze the geographical disparities in human papillomavirus vaccine coverage in France]

BACKGROUND

The use of geostatistical methods remains rare in health studies. In order to assess the usefulness of the geostatistical approach in epidemiology, we chose to apply these methods to the vaccination coverage rate (VCR) against human papillomavirus (HPV) in France. Indeed, HPV vaccine coverage remains low in France and geographical disparities are sizable. The objective of this study was to identify the socioecological factors that may explain these geographical variations.

METHODS

Sociological, economic and behavioral data for 2016 have been gathered (demographics and public health database, web and social networks) and were correlated with the HPV VCR vaccine coverage over the French territory. Homogeneous geographical areas defined by strong correlations for groups of variables were selected. In each homogeneous area, principal component analysis was performed and a geostatistical approach provided an estimate predicting vaccine coverage at a given scale.

RESULTS

HPV VCR spatial variations in France cannot be fully explained by a single model. In urban areas, a low rate of HPV VCR is preferentially associated with unfavorable socioeconomic factors (poverty, unemployment, immigration). In rural areas, HPV VCR is preferentially associated with sociocultural factors (socio-professional categories, education level, interest in alternative medicines the anti-vaccine movement). Two secondary geographical areas were defined: the Île-de-France region and 12 departments in northeastern France. In the Île-de-France region, the association with the economic factors one again appears as in urban areas in general. The northeasteran departments represent a particular case insofar as HPV VCR is relatively high, notwithstanding economic poverty indicators.

CONCLUSION

Geostatistical modeling successfully identifies new potential explanations for HPV VCR geographical disparities in France. These results could help to adapt or develop future vaccination programs in specific areas by taking into account the sociological, economic and behavioral characteristics of their populations.

Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016

Urban green space has been proven effective in improving public health in the contemporary background of planetary urbanization. There is a growing body of literature investigating the relationship between non-communicable diseases (NCDs) and green space, whereas seldom has the correlation been explored between green space and epidemics, such as dysentery, tuberculosis, and malaria, which still threaten the worldwide situation of public health. Meanwhile, most studies explored healthy issues with the general green space, public green space, and green space coverage, respectively, among which the different relevance has been rarely explored. This study aimed to examine and compare the relevance between these three kinds of green space and incidences of the three types of epidemic diseases based on the Panel Data Model (PDM) with the time series data of 31 Chinese provinces from 2007 to 2016. The results indicated that there exists different, or even opposite, relevance between various kinds of green space and epidemic diseases, which might be associated with the process of urban sprawl in rapid urbanization in China. This paper provides a reference for re-thinking the indices of green space in building healthier and greener cities.

The effects of electricity network development besides routine malaria control measures in an underdeveloped region in the pre-elimination phase

Background

The main purpose of this study was to investigate the effects of electricity network development on malaria transmission. The study was performed in the rural areas of three districts in Sistan-va-Baluchestan Province, Iran.

Methods

From the mentioned districts, 122 rural communities were selected. The data of the years 2005–2009 were collected retrospectively from data banks of the district health centres and the offices of the local electricity network. Fixed and random effects panel data regression models were fitted to determine the effects of electrification and other variables on malaria transmission during the elimination phase.

Results

It seems that access to electricity of rural communities, if not harmful, has no obvious effect on malaria control and prevention at least during the elimination phase in an underdeveloped region. Elevation above sea level and precipitation during spring and summer were found to be the other important, respectively, time-invariant and time-dependent variables associated with decreasing and increasing malaria transmission. Indoor residual spraying and the use of insecticide-treated mosquito nets were not found to be effective in decreasing malaria transmission in the elimination phase.

Conclusions

The introduction of electricity to a rural community does not guarantee an absolutely good effect on the reduction of malaria transmission.