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Context-adapted interventions are needed to alleviate the burden of food and nutrition insecurity on resource-poor rural households in southeastern Madagascar. The Positive Deviance approach implies identifying locally viable development solutions by focusing on particularly successful, innovative individuals. To identify promising practices that could be promoted as part of food and nutrition security (FNS) interventions in the Atsimo Atsinanana region of southeastern Madagascar, positive deviance was searched among smallholder farmers. Positive deviants are defined as households with overall optimal performance across four aspects of FNS: household-level food security, women's diet quality, child's diet quality, and low diarrhea incidence. To identify positive deviants, a two-step procedure was followed. Based on quantitative survey data from 413 rural smallholder households (mother-child pairs) with a child aged between 6 and 23 months, each household's four performance scores were adjusted by removing the average effects of household resources. Then, households with Pareto-optimal performance were identified regarding the four aspects. Subsequently, 16 positive deviants were revisited and positive deviant practices were identified through in-depth interviews. A set of practices were validated through focus group discussions with local nutrition and agriculture experts. Positive deviant practices include the adoption of agricultural innovation, such as new cash crops, as well as nutrition-sensitive market behaviors and reliance on off-farm activities. In addition, some ethno-cultural factors help to explain positive deviance. These diverse positive deviant practices may serve as examples and inspiration for locally grounded development interventions targeting FNS in southeastern Madagascar. [ABSTRACT FROM AUTHOR]

Dengue is an increasing threat to individuals living in or visiting endemic countries. Effective vaccines have become available, but their use in travelers is typically only recommended to individuals with documented prior infection. We present a fatal case of severe dengue in an unvaccinated traveler without known prior dengue virus infection but longitudinal serologic and molecular evidence for secondary infection. In the context of this case and vaccination guidance for travelers, we discuss pre-vaccination screening, potential implications for travelers to regions with ongoing outbreaks, and emphasize the importance of serostatus-independent vaccines. [ABSTRACT FROM AUTHOR]

Achieving food security in Mozambique is critical, since 80% of the population cannot afford an adequate diet. While increasing agricultural production is a necessary effort to address this challenge, inadequate post-harvest treatment leads to storage losses and quality degradation, with repercussions for food security. The use of solar drying is promoted as a solution to provide efficient and reliable access to food preservation that improves the food security situation in rural communities. However, there is a lack of clear evidence on how the use or access to solar drying affects food security. This study identifies the determinants of farmers' choice to use solar drying and evaluates the effect of a passive solar dryer on food security using survey data from 634 households. We allocated solar dryers to selected communities and all interested individuals belonging to these communities were eligible to use it. Propensity score matching and endogenous switching poisson regression are used to estimate the average effect. The use of solar drying with associated training significantly increases the food security status of participants by increasing household food availability, women's dietary diversity, and months of adequate household food provision and by decreasing the household food insecurity access scale. [ABSTRACT FROM AUTHOR]

These changes could not only predispose patients to develop PPF with associated barotrauma, but may also result in pneumovascular fistula by angioinvasion, as suspected by Mombrun and colleagues [[1]]. Barotrauma constitutes a relevant complication among ventilated COVID-19 patients and appears to occur more frequently in COVID-19-associated acute respiratory distress syndrome (ARDS) than in ARDS of other origin [[2]]. [Extracted from the article]

Over the last decades, participatory approaches involving on-farm experimentation have become more prevalent in agricultural research. Nevertheless, these approaches remain difficult to scale because they usually require close attention from well-trained professionals. Novel large- N participatory trials, building on recent advances in citizen science and crowdsourcing methodologies, involve large numbers of participants and little researcher supervision. Reduced supervision may affect data quality, but the 'Wisdom of Crowds' principle implies that many independent observations from a diverse group of people often lead to highly accurate results when taken together. In this study, we test whether farmer-generated data in agricultural citizen science are good enough to generate valid statements about the research topic. We experimentally assess the accuracy of farmer observations in trials of crowdsourced crop variety selection that use triadic comparisons of technologies (tricot). At five sites in Honduras, 35 farmers (women and men) participated in tricot experiments. They ranked three varieties of common bean ( Phaseolus vulgaris L.) for Plant vigor, Plant architecture, Pest resistance, and Disease resistance. Furthermore, with a simulation approach using the empirical data, we did an order-of-magnitude estimation of the sample size of participants needed to produce relevant results. Reliability of farmers' experimental observations was generally low (Kendall's W 0.174 to 0.676). But aggregated observations contained information and had sufficient validity (Kendall's tau coefficient 0.33 to 0.76) to identify the correct ranking orders of varieties by fitting Mallows-Bradley-Terry models to the data. Our sample size simulation shows that low reliability can be compensated by engaging higher numbers of observers to generate statistically meaningful results, demonstrating the usefulness of the Wisdom of Crowds principle in agricultural research. In this first study on data quality from a farmer citizen science methodology, we show that realistic numbers of less than 200 participants can produce meaningful results for agricultural research by tricot-style trials. [ABSTRACT FROM AUTHOR]