Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security

Impact of Provenance on Phytochemical Attributes of pigmented Landrace Maize Varieties

Maize is one of the most diverse cereal crops that contribute highly in calorie supply to human diet. Pigmented maize secondary metabolites which are phytochemicals of healthy importance include carotenoids and phenolics which act as precursors of vitamin A and antioxidants respectively. Pigmented landrace maize is cultivated by smallholder farmers in their localities. Three different pigmented maize varieties from different growing districts were analysed for total carotenoids content (TCC) and total phenolic content (TPC), using spectrophotometer. The districts experience a warm temperate climate and higher rainfall in summer than in winter but they differ in that Ntcheu has highest average annual temperature of 20.3°C while Dedza receives the highest annual precipitation of about 1010 mm. Mzimba has an average annual temperature of 20.1°C and receives about 915 mm of precipitation annually. Individual carotenoids were analysed using high performance liquid chromatography (HPLC). TCC were significantly higher (p < 0.05) in Ntcheu and Mzimba provenances compared to Dedza. Lutein (22.84 ± 1.25 µg/g) and Zeaxanthin (23.16 ± 2.44 µg/g) were highest in landrace orange maize from Ntcheu. Mzimba provenance showed highest beta-cryptoxanthin (8.60 ± 2.15 µg/g). TPC were not significantly different between Dedza (204.29 ± 0.35 mg/Kg) and Mzimba (207.65 ± 0.22 mg /kg) red maize. Ntcheu provenance showed the least TPC (184.06 ± 0.61 mg/Kg). It seems provenance influenced phytochemical attributes of pigmented landrace maize varieties in some instances. This study also revealed that post-harvest handling of pigmented landrace maize affects phytochemical content. Care should, therefore, be taken in handling pigmented landrace maize to avoid phytochemical loses. Farmers and all other stakeholders in Malawi are encouraged to produce and include pigmented landrace maize varieties in their diets in order to gain the associated health benefits. Further studies are needed for complete characterisation of phenolic compounds of pigmented landrace maize of Malawi.

Successful reintroduction of landrace orange maize in rural Malawi is not related to the nutritional knowledge of women in farming families

Vitamin A deficiency is a global health challenge, particularly in the developing world. Diet based approaches, using locally available foods, are recommended for providing long term, sustainable solutions. The ProFarmer project, initiated in Malawi, encouraged local farmers to re-adopt landrace crop varieties. Orange maize was used as a case study. Over time, reintroducing this carotenoid-rich crop is predicted to increase provitamin A content in the Malawian diet. Furthermore, it is considered a relatively simple, cost-effective approach that has the potential to reduce dependence on food fortification. This study was aimed at evaluating the impact of the reintroduction of landrace orange maize on nutrition knowledge, attitudes and behaviours (KAB) in women of farming families that currently cultivate the crop. Women were selected, as they are largely responsible for food preparation and providing healthy foods for their families. Additionally, the overall diet adequacy in women living in rural Malawi was assessed. A total of 336 females took part in the cross-sectional study. Before the study, the participating farming families underwent a training program run by local Agriculture Extension workers prior to receiving seeds for cultivation. The training included an explanation of the rationale behind reintroducing landrace maize and nutrition education regarding the health aspects of providing provitamin A through locally grown foods. Families that had recently joined the project and families that had already harvested the crop in previous years were included in the study sample. A semi-structured questionnaire was used to determine KAB regarding orange maize. Diet quality was also assessed using the FAO Minimum Dietary Diversity questionnaire (MDD-W) designed for women. Independent t-tests and Chi-square tests were performed where appropriate. Positive attitudes towards growing and consuming landrace orange maize were recorded. However, only 32% of the women understood the nutritional benefits. Dietary Diversity scores, a proxy for nutrient adequacy, were low with only 34% of women consuming a sufficiently diverse diet. Despite low levels of nutritional knowledge, landrace orange maize was well accepted by families in rural Malawi and presents an affordable, sustainable option for increasing dietary sources of provitamin A. Nutrition education emphasizing the advantages of eating orange maize and expanding diet diversity is recommended in Malawi

InnovAfrica project endline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

A consortium of 16 institutions comprising five institutions from Europe and eleven institutions from Africa implemented a project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutritional Security in Africa (InnovAfrica)" in six countries of eastern and southern Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania from June 2017 to November 2021. The InnovAfrica project collected endline data from 12 pilot sites (two sites per country) in the third years of the project. The data collected during the Endline survey is presented in this document.There is no restriction to use these data set.Funding provided by: H2020*Crossref Funder Registry ID: Award Number: 727201The endline data were collected from 12 pilot study sites comprising two sites each from Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania using structured questionnaire and focus group discussion

InnovAfrica project baseline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

A data set was generated thorugh surveys to establish a baseline inforamtion for a project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutrition Security in Africa (Acronym - InnovAfrica)". The InnovAfrica is a consortium of 16 institutions comprising five institutions from Europe and eleven institutions from Africa and the project was implemented in six countries of eastern and southern Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania from June 2017 to November 2021.There is no restriction to use these data set.Funding provided by: Horizon 2020Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100007601Award Number: 727201The baseline data was collected from 12 pilot sites (2 sites per country) with in the first 12 months of the project using structured questionnaire. Data was first collected using papper based printed questionnaire and later digitalized in KIPUS system (a smart data software)