Gender- and youth-sensitive data collection tools to support decision making for inclusive sustainable agricultural intensification

Open Access Article; Published online: 15 Sep 2020To achieve equitable sustainable agricultural intensification (SAI), it is essential to understand differential access and control over agricultural resources by women and youth, and to assess how intensification interacts with gendered and age-dependent relationships. Existing packages for assessing women’s empowerment in agriculture tend to be large-scale surveys that do not provide timely results, nor are they easily integrated into a gender-transformative process. This paper applies concepts from Kabeer on gender analysis and empowerment to evaluate promising tools available for assessing inequities in SAI and supporting a gender-transformative approach. We interviewed decision makers in Malawi and Ghana to understand their needs and practices for equityanalysis. We evaluated, adapted and tested tools to detect inequities from SAI. Our results demonstrate the suitability of tools to decision makers’ needs for ex-ante assessment and early detection of disparities. We synthesize information from the testing and adaptation of tools about the resources required, the equity issues they can reveal and their potential role in a gender-transformative approach. The use of the tools needs to be part of an inclusive and culturally specific process for identifying gaps and facilitating a more equitable sharing of SAI responsibilities and benefits through iterative cycles of action and learning

The triple challenge: food security and vulnerabilities of fishing and farming households in situations characterized by increasing conflict, climate shock, and environmental degradation

As conflict, climate shocks, and land/water degradation—the “triple challenge”—continue to exert increasing pressure upon fishing and farming livelihoods in many developing countries, a need exists to better understand how differential vulnerabilities undermine or amplify food security outcomes. In this study, we investigate how vulnerability to the “triple challenge” affect food security using an in-depth case study approach that merges social statistics and quantitative data analysis. We frame vulnerability using a combination of sensitivity, exposure, and adaptive capacity, and operationalize food security using the FAO Food Insecurity Experience Scale (FIES), which is an experience-based measure capturing the food access dimension of food security. We draw on survey data from 252 fishing and 251 farming households in the Niger Delta region of Nigeria and quantify the different components of vulnerability, deriving specific livelihood-related vulnerability scores. By merging and analyzing differential food security variables and vulnerability scores using ordered logistic models, we find that vulnerability to the “triple challenge” increases the probability of being in a severe food insecure state, particularly for households with a high dependency ratio. Parallel to this finding, we note that access to social capital and opportunities for livelihood diversification could drive gains in income, enhancing the capacity of households to attain a food-secure status in the face of recurrent instabilities. This study advances vulnerability literacy in food-insecure contexts and reveals ways to support populations on the frontline of interacting conflict, climate, and environmental crises

Realizing Inclusive SAI: Contextualizing indicators to better evaluate gender and intergenerational inequity in SAI processes and outcomes - Cases from Southern and Western Africa

Despite increasing sustainable agricultural intensification (SAI) investments, indicators for detecting gender and intergenerational inequities in SAI costs and benefits sharing often remain overgeneralized, theoretical, or locally irrelevant. We examine the relative value of, and how to, customize standard SAI indicators to detect such inequities in specific socio-cultural contexts to enhance data collection for evidence-based decision making in fostering gender/youth inclusive SAI. Using focus-group discussions and key informant interviews among farmers and diverse government, NGO, private sector, and academic stakeholders in two districts in Malawi and three in Ghana, we assess the perceived roles, differentiated needs/ priorities of men, women and youth, and the sharing of SAI burdens and benefits within farming households. We investigate what context-appropriate questions to ask, to whom, and how, to collect reliable information on indicators of SAIinvestment inequities. Results illuminate context-specific, gendered and intergenerational factors shaping access to and ownership of productive resources, household decision making, SAI participation, and appropriateness of selected indicators. Combining farmers’ and local field-expert’ perspectives offers practical insights for customizing inequity indicators. Findings highlight advantages of local contextualization of SAI indicators, including insights on appropriate data-collection approaches that challenge orthodox survey/quantitative methods for detecting and assessing gender/age inequities to foster inclusive SAI

A decision makers’ guide to equitable sustainable agricultural intensification

In many parts of the world, there is a clear need for investment in agriculture to counteract low yields and food insecurity. Focusing only on short-term production gains, however, through technologies such as improved seeds, irrigation, fertilizers and pesticides, increases risks to the environment and human health. Assessing the sustainability of agricultural intensification must go beyond simply finding economical ways to preserve agriculture’s natural resource base and reduce environmental harm from agriculture. The process of sustainable agricultural intensification (SAI) has to also be inclusive and move towards social equity if it is to be truly sustainable. There are many tools for assessing agriculture through an environmental or economic lens, but relatively few that use social criteria. This leaves a gap as more SAI projects and investments aim to achieve equitable benefits across gender and age lines. This guide provides decision-makers with data collection tools to assess gender and youth inequities associated with changes during SAI. These tools were developed and refined following workshops, field work and interviews with decisionmakers in Ghana and Malawi. In agricultural research, important social data often comes from large-scale household surveys that need significant investment of time and money. This guide focused on non-survey data collection tools, many of which originate from participatory learning and action, for two reasons: participatory tools encourage reflection by participants to increase stakeholder equity, and they are often better matched to the resource requirements and time constraints of those involved. Tools are presented based on their ability to provide information about three identified risks to equity from the SAI process: (i) unequal increases in workload, (ii) unequal access to and use of agricultural resources and (iii) inequitable impacts from changes in technologies and markets. For each tool, an overview explains how the tool relates to SAI. Then, the steps needed to facilitate use are presented, followed by special considerations for effective implementation. The guide supports decision-makers in choosing appropriate data collection tools and in effectively using the information. To make the choice of tool easier, information is provided on affordability, timeliness and human resource requirements for each. Also considered is each tool’s ability to assess potential technologies ex ante, so decision-makers can adapt them before implementation to better foster gender and youth equity. Finally, a number of examples of decision-making tools are presented with how to use the data collected to inform more inclusive SAI. The goal is to enhance the capacity of decision-makers to make a robust analysis of the distribution of benefits and burdens resulting from SAI investments. Decision-makers are encouraged to apply the tools within a community-driven gendertransformative process that aims to change the norms that perpetuate social inequities, by simultaneously influencing household, community, market and political domains

Antibody levels to multiple malaria vaccine candidate antigens in relation to clinical malaria episodes in children in the Kasena-Nankana district of Northern Ghana

BACKGROUND: Considering the natural history of malaria of continued susceptibility to infection and episodes of illness that decline in frequency and severity over time, studies which attempt to relate immune response to protection must be longitudinal and have clearly specified definitions of immune status. Putative vaccines are expected to protect against infection, mild or severe disease or reduce transmission, but so far it has not been easy to clearly establish what constitutes protective immunity or how this develops naturally, especially among the affected target groups. The present study was done in under six year old children to identify malaria antigens which induce antibodies that correlate with protection from Plasmodium falciparum malaria. METHODS: In this longitudinal study, the multiplex assay was used to measure IgG antibody levels to 10 malaria antigens (GLURP R0, GLURP R2, MSP3 FVO, AMA1 FVO, AMA1 LR32, AMA1 3D7, MSP1 3D7, MSP1 FVO, LSA-1and EBA175RII) in 325 children aged 1 to 6 years in the Kassena Nankana district of northern Ghana. The antigen specific antibody levels were then related to the risk of clinical malaria over the ensuing year using a negative binomial regression model. RESULTS: IgG levels generally increased with age. The risk of clinical malaria decreased with increasing antibody levels. Except for FMPOII-LSA, (p = 0.05), higher IgG levels were associated with reduced risk of clinical malaria (defined as axillary temperature ≥37.5°C and parasitaemia of ≥5000 parasites/ul blood) in a univariate analysis, upon correcting for the confounding effect of age. However, in a combined multiple regression analysis, only IgG levels to MSP1-3D7 (Incidence rate ratio = 0.84, [95% C.I.= 0.73, 0.97, P = 0.02]) and AMA1 3D7 (IRR = 0.84 [95% C.I.= 0.74, 0.96, P = 0.01]) were associated with a reduced risk of clinical malaria over one year of morbidity surveillance. CONCLUSION: The data from this study support the view that a multivalent vaccine involving different antigens is most likely to be more effective than a monovalent one. Functional assays, like the parasite growth inhibition assay will be necessary to confirm if these associations reflect functional roles of antibodies to MSP1-3D7 and AMA1-3D7 in this population

Diversity of Staphylococcus aureus Isolates in European Wildlife

Staphylococcus aureus is a well-known colonizer and cause of infection among animals and it has been described from numerous domestic and wild animal species. The aim of the present study was to investigate the molecular epidemiology of S. aureus in a convenience sample of European wildlife and to review what previously has been observed in the subject field. 124 S. aureus isolates were collected from wildlife in Germany, Austria and Sweden; they were characterized by DNA microarray hybridization and, for isolates with novel hybridization patterns, by multilocus sequence typing (MLST). The isolates were assigned to 29 clonal complexes and singleton sequence types (CC1, CC5, CC6, CC7, CC8, CC9, CC12, CC15, CC22, CC25, CC30, CC49, CC59, CC88, CC97, CC130, CC133, CC398, ST425, CC599, CC692, CC707, ST890, CC1956, ST2425, CC2671, ST2691, CC2767 and ST2963), some of which (ST2425, ST2691, ST2963) were not described previously. Resistance rates in wildlife strains were rather low and mecA-MRSA isolates were rare (n = 6). mecC-MRSA (n = 8) were identified from a fox, a fallow deer, hares and hedgehogs. The common cattle- associated lineages CC479 and CC705 were not detected in wildlife in the present study while, in contrast, a third common cattle lineage, CC97, was found to be common among cervids. No Staphylococcus argenteus or Staphylococcus schweitzeri-like isolates were found. Systematic studies are required to monitor the possible transmission of human- and livestock- associated S. aureus/MRSA to wildlife and vice versa as well as the possible transmission, by unprotected contact to animals. The prevalence of S. aureus/MRSA in wildlife as well as its population structures in different wildlife host species warrants further investigation

Ten golden rules for optimal antibiotic use in hospital settings: the WARNING call to action

Antibiotics are recognized widely for their benefits when used appropriately. However, they are often used inappropriately despite the importance of responsible use within good clinical practice. Effective antibiotic treatment is an essential component of universal healthcare, and it is a global responsibility to ensure appropriate use. Currently, pharmaceutical companies have little incentive to develop new antibiotics due to scientific, regulatory, and financial barriers, further emphasizing the importance of appropriate antibiotic use. To address this issue, the Global Alliance for Infections in Surgery established an international multidisciplinary task force of 295 experts from 115 countries with different backgrounds. The task force developed a position statement called WARNING (Worldwide Antimicrobial Resistance National/International Network Group) aimed at raising awareness of antimicrobial resistance and improving antibiotic prescribing practices worldwide. The statement outlined is 10 axioms, or “golden rules,” for the appropriate use of antibiotics that all healthcare workers should consistently adhere in clinical practice

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Options for local financing in urban agriculture

Access to debt financing (credit) is crucial to the development of urban agricultural production, processing and marketing activities. This chapter is based on a 2009 study 1 carried out in Accra to assess the practices of institutions and programs that could finance urban agriculture as well as the existing bottlenecks and opportunities in financing. Information is based on surveys involving 179 respondents sampled from financial institutions; urban farmers (not limited to vegetable farmers), traders and processors; literature reviews, stakeholder mapping; focus group discussions; key informant interviews; and a validation workshop

Signal processing for tree-trunk investigation using ground penetrating radar

Invasive fungi diseases are considered one the biggest threats for the ash and oak forests in United Kingdom. To that extend, Ground Penetrating Radar (GPR) can provide a powerful diagnostic tool for assessing the health status of tree trunks based on their internal dielectric distribution. GPR acquisitions in tree-trunks is a unique problem that can not be approached with traditional GPR processing approaches. Typical interpretation tools like hyperbola fitting and migration should be adjusted and fine-tuned in order to be applicable for irregular measurements in a closed curve. The purpose of this paper is to provide GPR practitioners with a set of interpretation tools that can be applied in the field using commercial GPR antennas. In that context, a novel processing framework is presented that is fine-tuned for the current problem. The suggested scheme is successfully tested using both numerical and real data indicating the capabilities of GPR as a diagnostic tool for early detection of tree diseases