Désiré Kulimba Mashinda
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Désiré Kulimba Mashinda has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Dynah M. Kayembe
Patrick Kayembe Research Center, Kinshasa School of Public Health, University of Kinshasa, Kinshasa P.O. Box 11850, Democratic Republic of the Congo
4 shared publications - Francis K. Kabasubabo
Patrick Kayembe Research Center, Kinshasa School of Public Health, University of Kinshasa, Kinshasa P.O. Box 11850, Democratic Republic of the Congo
4 shared publications - Nguyen Toan Tran
Australian Centre for Public and Population Health Research, Faculty of Health, University of Technology Sydney, Sydney, Australia
4 shared publications - Pierre Zalagile Akilimali
Department of Nutrition, Kinshasa School of Public Health, University of Kinshasa, Kinshasa BP 11850, Democratic Republic of the Congo
4 shared publications - Benito Kazenza Maykondo
University of Kinshasa School of Public Health
3 shared publications - Landry Egbende
University of Kinshasa
3 shared publications
Latest Publications
- Open Access
Household Food Insecurity During the COVID-19 Pandemic Between Slum and Non-Slum Areas in Kinshasa, DR Congo: A Cross-Sectional Study
Introduction: Food insecurity is a vital issue, especially in places such as Kinshasa. Additionally, food insecurity has been worsened by the COVID-19 pandemic, particularly in low- and middle-income countries. Thus, this study examined food insecurity in Kinshasa after the peak of the pandemic to understand the impact of post-pandemic recovery efforts as well as the heterogeneity of this problem according to the residence of respondent (slum vs. non-slum areas). Methods: Grounded in the four key dimensions of food security (availability, access, vulnerability, and utilization), this cross-sectional study was conducted in Kinshasa with a representative sample of 2170 households selected from 62 enumeration areas. We used a questionnaire to interview participants about their food situations. Interviews were conducted with the head of each household or their designated representative by 150 master’s students using tablets powered by the SurveyCTO application. Household food security status was evaluated using the Household Food Insecurity Access Scale. A logistic regression model was developed to assess household risk factors associated with food insecurity. Results: Most people we talked to were over 40 years old, and many lived in households with fewer than six people. About a third of the households were overcrowded. The prevalence of food insecurity was 76.5% (95%CI: 74.6–78.3). Factors associated with food insecurity included being a household head aged over 50 years, insufficient living space, lower socioeconomic status, and residing in slum areas (AOR: 1.38; 95% CI: 1.06–1.79). Conclusions: Vulnerable groups, such as slum residents, older adults, and informal workers are more likely to be affected by food insecurity. Addressing these challenges requires the government to develop targeted strategies that bolster resilience and mitigate household vulnerability during crises.
Open AccessHousehold Food Insecurity During the COVID-19 Pandemic Between Slum and Non-Slum Areas in Kinshasa, DR Congo: A Cross-Sectional Study
Introduction: Food insecurity is a vital issue, especially in places such as Kinshasa. Additionally, food insecurity has been worsened by the COVID-19 pandemic, particularly in low- and middle-income countries. Thus, this study examined food insecurity in Kinshasa after the peak of the pandemic to understand the impact of post-pandemic recovery efforts as well as the heterogeneity of this problem according to the residence of respondent (slum vs. non-slum areas). Methods: Grounded in the four key dimensions of food security (availability, access, vulnerability, and utilization), this cross-sectional study was conducted in Kinshasa with a representative sample of 2170 households selected from 62 enumeration areas. We used a questionnaire to interview participants about their food situations. Interviews were conducted with the head of each household or their designated representative by 150 master’s students using tablets powered by the SurveyCTO application. Household food security status was evaluated using the Household Food Insecurity Access Scale. A logistic regression model was developed to assess household risk factors associated with food insecurity. Results: Most people we talked to were over 40 years old, and many lived in households with fewer than six people. About a third of the households were overcrowded. The prevalence of food insecurity was 76.5% (95%CI: 74.6–78.3). Factors associated with food insecurity included being a household head aged over 50 years, insufficient living space, lower socioeconomic status, and residing in slum areas (AOR: 1.38; 95% CI: 1.06–1.79). Conclusions: Vulnerable groups, such as slum residents, older adults, and informal workers are more likely to be affected by food insecurity. Addressing these challenges requires the government to develop targeted strategies that bolster resilience and mitigate household vulnerability during crises.
- Open Access
Understanding Food Insecurity in Kinshasa During the COVID-19 Pandemic
Introduction: Food insecurity is a vital issue, especially in places like Kinshasa. Additionally, food insecurity has been worsened by the COVID-19 pandemic, particularly in low- and middle-income countries. Thus, this study examined food insecurity in Kinshasa after the peak of the pandemic to understand food insecurity in post-pandemic recovery efforts and the possible implications for public health policies for future pandemics similar to COVID-19. Methods: This study was conducted in Kinshasa with a representative sample of 2,160 households selected from 36 enumeration areas. We interviewed participants from different areas and used a questionnaire to ask them about their food situation. Interviews were conducted with the head of each household or their designated representative by 150 master’s students using tablets powered by the SurveyCTO application. Household food security status was evaluated through the Household Food Insecurity Access Scale. A logistic regression model was developed to assess household risk factors associated with food insecurity. Results: Most people we talked to were over 40 years old, and many lived in households with fewer than six people. About a third of the households were overcrowded. Factors associated with food insecurity included being a household head aged over 50 years, insufficient living space, lower socioeconomic status, and residing in slum areas (AOR: 1.38; 95% CI: 1.06–1.79). In 2022, 12,627,424 individuals faced food insecurity in Kinshasa, including 8,829,820 individuals who experienced severe food insecurity. Conclusion: Living conditions play a significant role in food insecurity. Governments need to do more to help people, especially those living in crowded areas. To combat economic restrictions that lead to food insecurity during crises, policymakers and implementing partners should enhance food assistance programs, such as cash transfers and food supply initiatives, focusing on overcrowded households and the informal job sector. Key Messages: What is already known on this topic: This study emphasizes the multifaceted nature of food security, defined as the continuous access to sufficient, safe, and nutritious food, comprising availability, accessibility, utilization, and stability. Food insecurity, resulting from unmet needs in any of these dimensions, correlates with poor health outcomes and increased mortality. The global COVID-19 pandemic exacerbated food insecurity, particularly in low- and middle-income countries, with rates exceeding 50%. Factors such as poverty, living conditions, low income, lack of livestock, large household size, and psychological factors contribute significantly. While prior studies in the Democratic Republic of the Congo exist, they are limited, often focusing on specific groups. This study aims to comprehensively assess household food security in Kinshasa during the post-COVID-19 period, identifying associated factors for a more nuanced understanding. What this study adds: This study adds to the existing literature by investigating the prevalence and determinants of food insecurity during a global health crisis, employing the Household Food Insecurity Access Scale for assessment. It contributes novel insights by examining the prevalence and severity of food insecurity in Kinshasa, the Democratic Republic of the Congo, offering a unique context for understanding the impact of a global health crisis on household food security. How this study might affect research, practice, or policy: The study recommends implementing cash transfer strategies for vulnerable households, particularly those with informal jobs and young children, based on significant associations between lower socioeconomic status and food insecurity during the COVID-19 pandemic. Another recommendation is to expand food assistance programs for overcrowded households and the informal job sector, addressing the high prevalence of food insecurity in slum areas. Other social and structural determinants of food security, such as women’s empowerment and access to water and electricity, should be further researched.
Open AccessUnderstanding Food Insecurity in Kinshasa During the COVID-19 Pandemic
Introduction: Food insecurity is a vital issue, especially in places like Kinshasa. Additionally, food insecurity has been worsened by the COVID-19 pandemic, particularly in low- and middle-income countries. Thus, this study examined food insecurity in Kinshasa after the peak of the pandemic to understand food insecurity in post-pandemic recovery efforts and the possible implications for public health policies for future pandemics similar to COVID-19. Methods: This study was conducted in Kinshasa with a representative sample of 2,160 households selected from 36 enumeration areas. We interviewed participants from different areas and used a questionnaire to ask them about their food situation. Interviews were conducted with the head of each household or their designated representative by 150 master’s students using tablets powered by the SurveyCTO application. Household food security status was evaluated through the Household Food Insecurity Access Scale. A logistic regression model was developed to assess household risk factors associated with food insecurity. Results: Most people we talked to were over 40 years old, and many lived in households with fewer than six people. About a third of the households were overcrowded. Factors associated with food insecurity included being a household head aged over 50 years, insufficient living space, lower socioeconomic status, and residing in slum areas (AOR: 1.38; 95% CI: 1.06–1.79). In 2022, 12,627,424 individuals faced food insecurity in Kinshasa, including 8,829,820 individuals who experienced severe food insecurity. Conclusion: Living conditions play a significant role in food insecurity. Governments need to do more to help people, especially those living in crowded areas. To combat economic restrictions that lead to food insecurity during crises, policymakers and implementing partners should enhance food assistance programs, such as cash transfers and food supply initiatives, focusing on overcrowded households and the informal job sector. Key Messages: What is already known on this topic: This study emphasizes the multifaceted nature of food security, defined as the continuous access to sufficient, safe, and nutritious food, comprising availability, accessibility, utilization, and stability. Food insecurity, resulting from unmet needs in any of these dimensions, correlates with poor health outcomes and increased mortality. The global COVID-19 pandemic exacerbated food insecurity, particularly in low- and middle-income countries, with rates exceeding 50%. Factors such as poverty, living conditions, low income, lack of livestock, large household size, and psychological factors contribute significantly. While prior studies in the Democratic Republic of the Congo exist, they are limited, often focusing on specific groups. This study aims to comprehensively assess household food security in Kinshasa during the post-COVID-19 period, identifying associated factors for a more nuanced understanding. What this study adds: This study adds to the existing literature by investigating the prevalence and determinants of food insecurity during a global health crisis, employing the Household Food Insecurity Access Scale for assessment. It contributes novel insights by examining the prevalence and severity of food insecurity in Kinshasa, the Democratic Republic of the Congo, offering a unique context for understanding the impact of a global health crisis on household food security. How this study might affect research, practice, or policy: The study recommends implementing cash transfer strategies for vulnerable households, particularly those with informal jobs and young children, based on significant associations between lower socioeconomic status and food insecurity during the COVID-19 pandemic. Another recommendation is to expand food assistance programs for overcrowded households and the informal job sector, addressing the high prevalence of food insecurity in slum areas. Other social and structural determinants of food security, such as women’s empowerment and access to water and electricity, should be further researched.
- Open Access
COVID-19 Vaccine Coverage and Factors Associated with Vaccine Hesitancy: A Cross-Sectional Survey in the City of Kinshasa, Democratic Republic of Congo
Vaccination against COVID-19 has been the main strategy used by most countries to limit the spread of the virus. However, vaccine uptake has been low in Africa, leading to the implementation of several interventions in order to improve vaccine coverage. This study was conducted due to the lack of information about COVID-19 vaccine coverage and the factors associated with vaccine hesitancy. This cross-sectional study was carried out in Kinshasa city using multi-stage random sampling. A total of 2160 households were included in this study. The data were analyzed using Stata 17 software. The means and standard deviations were computed for continuous data that followed a normal distribution, whereas proportions together with their 95% confidence intervals (CIs) were computed for categorical variables. The connections between dependent variables and each independent variable were tested using either Pearson's chi-square test or Fisher's exact test. The logistic regression method was employed to determine the factors that are linked to hesitation in obtaining the COVID-19 immunization. The majority of respondents were aged between 25 and 34 and 35 and 49 (28.9%). During this study, 15% (95% CI [13.25–17.9]) of respondents had received at least one dose of the COVID-19 vaccine. The prevalence of vaccine hesitancy was 67% (CI95%:64.9–69.1). Among the reasons given for refusing to be vaccinated, most respondents cited concerns about the vaccine being unsafe or causing adverse reactions (45%). Among the reasons given for accepting the vaccine, 26% thought that the vaccine prevented superinfection. The factors associated with hesitancy toward the COVID-19 vaccine were female gender, an age of less than 35 years, and living in non-slum households. Despite the interventions implemented across the country, the reluctance to be vaccinated remains a problem; this could lead to poor health outcomes, especially among the elderly and those with pre-existing conditions. It is important to step up awareness-raising campaigns in the community in order to increase the uptake of vaccination.
Open AccessCOVID-19 Vaccine Coverage and Factors Associated with Vaccine Hesitancy: A Cross-Sectional Survey in the City of Kinshasa, Democratic Republic of Congo
Vaccination against COVID-19 has been the main strategy used by most countries to limit the spread of the virus. However, vaccine uptake has been low in Africa, leading to the implementation of several interventions in order to improve vaccine coverage. This study was conducted due to the lack of information about COVID-19 vaccine coverage and the factors associated with vaccine hesitancy. This cross-sectional study was carried out in Kinshasa city using multi-stage random sampling. A total of 2160 households were included in this study. The data were analyzed using Stata 17 software. The means and standard deviations were computed for continuous data that followed a normal distribution, whereas proportions together with their 95% confidence intervals (CIs) were computed for categorical variables. The connections between dependent variables and each independent variable were tested using either Pearson's chi-square test or Fisher's exact test. The logistic regression method was employed to determine the factors that are linked to hesitation in obtaining the COVID-19 immunization. The majority of respondents were aged between 25 and 34 and 35 and 49 (28.9%). During this study, 15% (95% CI [13.25–17.9]) of respondents had received at least one dose of the COVID-19 vaccine. The prevalence of vaccine hesitancy was 67% (CI95%:64.9–69.1). Among the reasons given for refusing to be vaccinated, most respondents cited concerns about the vaccine being unsafe or causing adverse reactions (45%). Among the reasons given for accepting the vaccine, 26% thought that the vaccine prevented superinfection. The factors associated with hesitancy toward the COVID-19 vaccine were female gender, an age of less than 35 years, and living in non-slum households. Despite the interventions implemented across the country, the reluctance to be vaccinated remains a problem; this could lead to poor health outcomes, especially among the elderly and those with pre-existing conditions. It is important to step up awareness-raising campaigns in the community in order to increase the uptake of vaccination.
- Open Access
- 26 January 2024
- Published by MDPI AG in Preprints.org
COVID-19 Vaccine Coverage and Factors Associated with Vaccine Hesitancy: A Cross-Sectional Survey in the City of Kinshasa, Democratic Republic of Congo
: Background: Vaccination against COVID-19 has been the main strategy used by most countries to limit the spread of the virus. However, vaccine uptake has been low in Africa, leading to the implementation of several interventions in order to improve vaccine coverage. This study was conducted due to the lack of information about COVID-19 vaccine coverage and the factors associated with vaccine hesitancy. Methods: This cross-sectional study was carried out in Kinshasa city using multi-stage random sampling. A total of 2160 households were included in the study. The data were analyzed using Stata 15 software. The means and standard deviations were calculated for normally distributed continuous variables, while proportions with their 95% confidence intervals (CIs) were calculated for categorical variables. Pearson’s chi-square test or Fisher’s exact test was used to test the associations between dependent variables and each independent variable. Logistic regression was used to identify the factors associated with hesitancy receiving the COVID-19 vaccination. Results: The majority of respondents were aged between 25 and 34 and 35 and 49 (28.9%). During this study, 15% (95% CI [13.25–17.9]) of respondents had received at least one dose of the COVID-19 vaccine. Among the reasons given for refusing to be vaccinated, most respondents cited concerns about the vaccine being unsafe or causing adverse reactions (45%). Among the reasons given for accepting the vaccine, 26% thought that the vaccine prevented superinfection. The factors associated with hesitancy toward the COVID-19 vaccine were female gender, an age of less than 35 years, and living in non-slum households. Conclusions: Despite the interventions implemented across the country, the reluctance to be vaccinated remains a problem; this could lead to poor health outcomes, especially among the elderly and those with pre-existing conditions. It is important to step up awareness-raising campaigns in the community in order to increase the uptake of vaccination.
- 26 January 2024
- Published by MDPI AG in Preprints.org
Open AccessCOVID-19 Vaccine Coverage and Factors Associated with Vaccine Hesitancy: A Cross-Sectional Survey in the City of Kinshasa, Democratic Republic of Congo
: Background: Vaccination against COVID-19 has been the main strategy used by most countries to limit the spread of the virus. However, vaccine uptake has been low in Africa, leading to the implementation of several interventions in order to improve vaccine coverage. This study was conducted due to the lack of information about COVID-19 vaccine coverage and the factors associated with vaccine hesitancy. Methods: This cross-sectional study was carried out in Kinshasa city using multi-stage random sampling. A total of 2160 households were included in the study. The data were analyzed using Stata 15 software. The means and standard deviations were calculated for normally distributed continuous variables, while proportions with their 95% confidence intervals (CIs) were calculated for categorical variables. Pearson’s chi-square test or Fisher’s exact test was used to test the associations between dependent variables and each independent variable. Logistic regression was used to identify the factors associated with hesitancy receiving the COVID-19 vaccination. Results: The majority of respondents were aged between 25 and 34 and 35 and 49 (28.9%). During this study, 15% (95% CI [13.25–17.9]) of respondents had received at least one dose of the COVID-19 vaccine. Among the reasons given for refusing to be vaccinated, most respondents cited concerns about the vaccine being unsafe or causing adverse reactions (45%). Among the reasons given for accepting the vaccine, 26% thought that the vaccine prevented superinfection. The factors associated with hesitancy toward the COVID-19 vaccine were female gender, an age of less than 35 years, and living in non-slum households. Conclusions: Despite the interventions implemented across the country, the reluctance to be vaccinated remains a problem; this could lead to poor health outcomes, especially among the elderly and those with pre-existing conditions. It is important to step up awareness-raising campaigns in the community in order to increase the uptake of vaccination.