Malaria is a major public health risk in Rwanda where children and pregnant women are most vulnerable. This infectious disease remains the main cause of morbidity and mortality among children in Rwanda. The main objectives of this study were to assess the prevalence of malaria among children aged six months to 14 years old in Rwanda and to identify the factors associated with malaria in this age group. This study used data from the 2017 Rwanda Malaria Indicator Survey. Due to the complex design used in sampling, a survey logistic regression model was used to fit the data and the outcome variable was the presence or absence of malaria. This study considered 8209 children in the analysis and the prevalence of malaria was 14.0%. This rate was higher among children aged 5–9 years old (15.6%), compared to other age groups. Evidently, the prevalence of malaria was also higher among children from poor families (19.4%) compared to children from the richest families (4.3%). The prevalence of malaria was higher among children from rural households (16.2%) compared to children from urban households (3.4%). The results revealed that other significant factors associated with malaria were: the gender of the child, the number of household members, whether the household had mosquito bed nets for sleeping, whether the dwelling had undergone indoor residual spraying in the 12 months prior to the survey, the location of the household’s source of drinking water, the main wall materials of the dwelling, and the age of the head of the household. The prevalence of malaria was also high among children living in houses with walls built from poorly suited materials; this suggests the need for intervention in construction materials. Further, it was found that the Eastern Province also needs special consideration in malaria control due to the higher prevalence of the disease among its residents, compared to those in other provinces.

Anemia among women of child bearing age is a global public health problem. In developing countries such as Rwanda, women and their children may be particularly susceptible to anemia. The main objectives of this study were to assess the prevalence of anemia among women of reproductive age in Rwanda and to identify the risk factors associated therewith. The current study considered socio-economic, demographic and environmental factors and the 2014/2015 Rwanda Demographic and Health Survey data was used for this purpose. Due to the complexity of the sampling design, the present study used survey logistic model that takes account of sampling weight, stratification and clustering. The SAS statistical software was used for the analysis of the results. The anemia status was assessed among 6 680 women aged between 15 and 49 years old and the prevalence of anemia among women of this child bearing age group, was found to be 19.2%. The study also revealed that body mass index, contraceptive use, use of mosquito bed nets, marital status, wealth quintile of the household, size of the household, literacy, tobacco use, type of cooking fuel, type of toilet facilities, type of source of drinkable water, and province of residence, were all factors associated with anemia among women of reproductive age in Rwanda. Hence the current study highlights several health, geographical and socio-economic issues that can assist health care professionals and other relevant authorities in fostering an environment that reduces the risk of anemia for women and children.

The main objective of this study was to assess the risk factors and spatial correlates of domestic violence against women of reproductive age in Rwanda. A structured spatial approach was used to account for the nonlinear nature of some covariates and the spatial variability on domestic violence. The nonlinear effect was modeled through second-order random walk, and the structured spatial effect was modeled through Gaussian Markov Random Fields specified as an intrinsic conditional autoregressive model. The data from the Rwanda Demographic and Health Survey 2014/2015 were used as an application. The findings of this study revealed that the risk factors of domestic violence against women are the wealth quintile of the household, the size of the household, the husband or partner’s age, the husband or partner’s level of education, ownership of the house, polygamy, the alcohol consumption status of the husband or partner, the woman’s perception of wife-beating attitude, and the use of contraceptive methods. The study also highlighted the significant spatial variation of domestic violence against women at district level.

Notwithstanding the interventions implemented to address child mortality, anaemia and malnutrition remain a concern for the future of developing countries. Anaemia and malnutrition contribute a high proportion of the causes of childhood morbidity in Africa. The objective of this study is to jointly model anaemia and malnutrition using a copula geo-additive model. This study is a secondary data analysis where a Demographic and Health Survey of 2016 data from Angola, Malawi, and Senegal was used. The descriptive analysis was conducted in SPSS and the copula geo-additive model analysis was performed in R 3.63. The results showed that female children are notably associated with anaemia and a malnourished status (female estimate = 0.144, p-value = 0.027 for anaemia; female estimate = −0.105, p-value = 000 for malnutrition). The probability of each result decreased with an improvement in the mother’s level of schooling. This indicates an urgent requirement for interventions to be implemented by policymakers in order to manage children’s mortality rates. These interventions can include the introduction of educational programs for older adults, children’s dietary programs, and income generation initiatives (starting a small business, etc.). It is hoped that this paper can foster the utilization of copula methodology in this field of science with the use of cross-sectional data.

Background: Intimate partner violence (IPV) remains a primary health concern in both developing and developed countries. Even though some countries are intervening through awareness campaigns to boost IPV knowledge, the high prevalence remains a concern. This study's main objective was to assess IPV factors utilizing the generalized additive mixed model (GAMM).Methodology: The current research used datasets from the 2016 South Africa and Uganda Demographics and Health Surveys involving a total of 8514 and 18506 women, respectively. GAMM was used to examine the data. The result assessed if a woman has experienced some form of intimate violence or not.Results: This study found that 26.93% and 32.25% of women from South Africa and Uganda, respectively, have experienced intimate partner violence. Additionally, the results from this work using GAMM showed the following independent variables as significant risk factors of IPV: age of the woman's partner, marital status, region where the woman lives, age of the woman, media exposure, size of the family, polygamy, wife-beating attitude, sex of the household head, wealth index, pregnancy termination status, body mass index, marital status, cohabitation duration, partner's desire for children, partner's education level, woman's working status, woman's income compared to partner's income, and the person who usually decide on what to do with the woman's earnings.Conclusion: The study shows that socioeconomic and demographic variables are significant factors that can be used in policy development and contingency plans when tackling intimate partner violence. The results of this study can assist general health workers and organizations responsible for gender monitoring in the two countries in developing successful strategies to reduce intimate partner violence against women.