Climate variability presents different challenges for men and for women in their efforts to ensure household food security. However, despite their central role, gender issues have received only cursory attention in adaptation studies. This article looks at causes of gender vulnerability to climate variability and household food insecurity in one sub-Saharan African country: Malawi. Data were collected through a household questionnaire survey, focus group discussions and key informants' interviews in Chikhwawa and Ntcheu districts, located in the southern and central areas of Malawi. Results revealed that exposure and sensitivity to climate risks vary between men and women; therefore, each gender responds differently to climate risks, with men having more opportunities than women. The results highlight the need for policies and interventions to empower women in the access to resources that can strengthen households' resilience to climate variability.
This paper looks at household vulnerability to food insecurity and its determinants in two semi-arid districts in Malawi. A randomly selected sample of 200 households was interviewed. The descriptive statistics revealed that female-headed households were more vulnerable to food insecurity than male-headed households because of low access to resources for food production and purchases. A two-stage least squares regression analysis showed that amongst the main determinants of household vulnerability were income, household size, land size and access to climate information.The findings imply that policies should promote diversification of livelihoods and equal opportunities and rights to access resources.
As countries of sub-Saharan Africa expand irrigation to improve food security and foster economic growth, it is important to quantify the malaria risk associated with this process. Irrigated ecosystems can be associated with increased malaria risk, but this relationship is not fully understood. We studied this relationship at the Bwanje Valley Irrigation Scheme (800 hectares) in Malawi. Household prevalence of malaria and indoor Anopheles density were quantified in two cross-sectional studies in 2016 and 2017 (5,829 residents of 1,091 households). Multilevel logistic regression was used to estimate the association between distance to the irrigation scheme and malaria infection and mosquito density. The prevalence of malaria infection was 50.2% (2,765/5,511) by histidine-rich protein 2–based malaria rapid diagnostic tests and 30.1% (1,626/5,403) by microscopy. Individuals residing in households within 3 km of the scheme had significantly higher prevalence of infection (adjusted odds ratio [aOR] = 1.41; 95% confidence interval [CI] 1.18, 1.68); school-aged children had the highest prevalence among age groups (aOR = 1.34; 95% CI 1.11, 1.63). Individuals who reported bed net use, and households with higher socioeconomic status and higher level of education for household head or spouse, had lower odds of malaria infection. Female Anopheles mosquitoes (2,215 total; Anopheles arabiensis, 90.5%, Anopheles funestus, 9.5%) were significantly more abundant in houses located within 1.5 km of the scheme. Proximity of human dwellings to the irrigation scheme increased malaria risk, but higher household wealth index reduced risk. Therefore, multisectoral approaches that spur economic growth while mitigating increased malaria transmission are needed for people living close to irrigated sites.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.