Gabriela F. Nane's research while affiliated with Delft University of Technology and other places

... While the Girinka program has been primarily associated with positive impacts, such as increased agricultural production and household income (Argent et al. 2014;Nilsson et al. 2019), it has been observed that the program can impose an energy cost burden on rural households (Khundi-Mkomba et al. 2023). Limited access to veterinary services and adequate water supply imposes substantial financial burdens on program beneficiaries, potentially undermining the economic viability of the intervention for beneficiary households (Sapp et al. 2023). While biogas technology can potentially improve rural livelihoods and reduce energy costs for low-income Rwandan households, its adoption has been remarkably low due to prohibitive capital set-up costs and high dis-adoption rates (Lwiza et al. 2017;Mukeshimana et al. 2021). ...

... Food hazards disproportionally affect young children, the elderly, and pregnant and lactating women (World Health Organization, 2015). Children under five years old not only carry 40% of the FBD burden in terms of Disability Adjusted Life Years (DALYs), but also endure the most severe long-term consequences from these diseases (Havelaar et al., 2015(Havelaar et al., , 2022. ...

... Unlike weather forecasts, however, the trajectory of an epidemic can affect the future dynamics as people respond to risk [1]. A plethora of dynamical forecast models was created during the COVID-19 pandemic, but their ability to effectively describe future trajectories of cases and hospitalizations was mixed, with models producing both under-and overestimates [2]. A major challenge for these models in evaluating future trends was forecasting the behavior of individuals, which was largely incorporated exogenously through changes in public health guidance. ...

... urban-food-markets-africa-incentivizing-food-safety-using-pullpush-approach AFRD subregion (high child and high adult mortality) and Ethiopia to the AFRE subregion (high child and very high adult mortality). The project partners selected the foods and hazards while designing the study based on the results from Havelaar et al. (2015) and specific concerns in the target countries [for details, see Sapp et al. (2022)]. ...

... Similar to the viewpoints of Emami-Naeini et al. [67], the general public expresses greater apprehension about certain risks that specialists perceive as relatively unimportant. Nevertheless, even individuals with expertise might exhibit bias when assessing risks [68]. The insights of the general population should be esteemed and valued [69]. ...

... When physical sciences and/or statistics are not sufficient to support models and/or decisions, expert judgment is a recognized approach to quantify the uncertainties around specific issues [1][2][3][4][5]. Among different expert judgment methods, structured expert elicitation employs a formalized, documented procedure for obtaining probabilistic belief statements from a group of experts about unknown quantities or parameters [6][7][8][9][10]. The final goal of this approach is to obtain the group's synthesized uncertainty distribution (representing a new ''virtual expert'', experts are normally asked to fill questionnaires in which they have to express their own judgments and related uncertainties by providing several percentiles (usually the 5th, 50th and 95th ones) that define a distribution of the unknown variable or parameter. ...

... Note that CM relies on an asymptotic approximation which for a small number of observations is not very good (Cooke, 2014). Simulations for ten calibration variables are provided in (Hanea and Nane, 2021). It is deemed capable of detecting only large differences in experts' performances. ...

... Both assumptions reflect the best current data, and the general problem that data-driven attribution is currently not possible given data gaps and the inability to combine data from different study types (e.g., outbreaks, case-control studies, and microbial typing) in one consistent theoretical framework. These problems occur in high-income countries and low-and middle-income countries alike and expert judgment studies are frequently applied at international and national levels to provide best estimates of the (uncertainty in) foodborne disease attribution (Butler et al., 2015;Beshearse et al., 2021). ...

... However, these models showcased moderate discriminative ability, making them premature for clinical practice. When data-driven approaches are not sufficiently reliable, domain experts should be consulted [25,26]. The synthesis of clinicians' treatment preferences for various patient cases aids in understanding which specific patients would benefit from which treatments [27]. ...

... They also observed that a mixture of topsoil and sand produces a larger crater than a topsoil fill. Froeling et al. [97] modeled jet fires and found that while hydrogen releases have a lower lethality, as pipeline diameter decreases, the individual risk is higher in the vicinity due to an increased ignition probability. Wang et al. [98] compared jet flame length correlations and thermal radiation models to find a framework best suited for hydrogen jet fires for a transmission pipeline, and found that a combination of well-known correlations and models produced reasonably accurate results for flame lengths and radiation heat flux. ...