INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States

PLoS ONE, Journal Year: 2022, Volume and Issue: 17(2), P. e0263056 - e0263056

Published: Feb. 8, 2022

Narrowing the communication and knowledge gap between producers users of scientific data is a longstanding problem in ecological conservation land management. Decision support tools (DSTs), including websites or interactive web applications, provide platforms that can help bridge this gap. DSTs most effectively disseminate translate research results when collaboratively iteratively design content features. One resource seldom incorporated into are species distribution models (SDMs), which produce spatial predictions habitat suitability. Outputs from SDMs inform management decisions, but their complexity inaccessibility limit use by managers policy makers. To overcome these limitations, we present Invasive Species Habitat Tool (INHABIT), novel, web-based DST built with R Shiny to display tabular summaries suitability for invasive plants across contiguous United States. INHABIT provides actionable science prevention species. Two case studies demonstrate important role end user feedback confirming INHABIT's credibility, utility, relevance.

Language: Английский

---

Guiding placement of health facilities using multiple malaria criteria and an interactive tool

Malaria Journal, Journal Year: 2021, Volume and Issue: 20(1)

Published: Dec. 3, 2021

Abstract Background Access to healthcare is important in controlling malaria burden and, as a result, distance or travel time health facilities often significant predictor modelling prevalence. Adding new may reduce overall and decrease transmission. To help guide local decision-makers they scale up community-based accessibility, the influence of spatial allocation on prevalence evaluated Bunkpurugu-Yunyoo district northern Ghana. A location-allocation analysis performed find optimal locations by separately minimizing three district-wide objectives: prevalence, incidence, average facilities. Methods Generalized additive models was used estimate relationship between nearest facility other geospatial covariates. The model predictions are then calculate optimisation criteria for analysis. This two scenarios: adding existing ones, hypothetical scenario which would be allocated anew. An interactive web application created facilitate efficient presentation this allow users experiment with their choice location criteria. Results Using criteria, that benefit from were identified, regardless scenarios. Due non-linear incidence chosen based criterion tended inequitable different those Conclusions study findings underscore importance using multiple decision-making process. can repurposed regions bridging gap science, decisions.

Language: Английский

---

To screen or not to screen: an interactive framework for comparing costs of mass malaria treatment interventions

BMC Medicine, Journal Year: 2020, Volume and Issue: 18(1)

Published: June 19, 2020

Abstract Background Mass drug administration and mass-screen-and-treat interventions have been used to interrupt malaria transmission reduce burden in sub-Saharan Africa. Determining which strategy will costs is an important challenge for implementers; however, model-based simulations field studies yet develop consensus guidelines. Moreover, there often no way decision-makers directly interact with these data and/or models, incorporate local knowledge expertise, re-fit parameters guide their specific goals. Methods We propose a general framework comparing associated mass administrations screen treat based on the possible outcomes of each intervention outcome. then publicly available from six countries western Africa spatial-explicit probabilistic models estimate baseline prevalence, diagnostic performance, sociodemographic factors (age urbanicity). In addition scenarios, we also interactive web applications allow managers select sources model parameters, input own cost values. Results The regional-level revealed substantial spatial heterogeneity prevalence test sensitivity specificity, indicating that “one-size-fits-all” approach unlikely maximize resource allocation. For instance, urban communities Burkina Faso typically had lower rates compared rural (0.151 versus 0.383, respectively) as well (0.699 0.862, respectively); was still regional variation. Adjusting false negative results included additional costs, such delayed treated potential lost wages, undermined overall MSAT. Conclusions observed variability dependence specified values support not only need location-specific approaches but move beyond standard modeling towards tools implementers engage models. believe demonstrated this article help connect efforts stakeholders order promote data-driven decision-making effective management malaria, other diseases.

Language: Английский

---

Ten simple rules for creating a scientific web application

PLoS Computational Biology, Journal Year: 2021, Volume and Issue: 17(12), P. e1009574 - e1009574

Published: Dec. 9, 2021

The use of scientific web applications (SWApps) across biological and environmental sciences has grown exponentially over the past decade or so. Although quantitative evidence for such increased in practice is scant, collectively, we have observed that these tools become more commonplace teaching, outreach, science coproduction (e.g., as decision support tools). Despite popularity SWApps, researchers often receive little no training creating tools. rolling out SWApps can be a relatively simple quick process using modern, popular platforms like R shiny apps Tableau dashboards, making them useful, usable, sustainable not. These 10 rules SWApp provide foundation upon which with to experience application design development consider, plan, carry projects.

Language: Английский

---

Guiding placement of health facilities using malaria criteria and interactive tool

Research Square (Research Square), Journal Year: 2021, Volume and Issue: unknown

Published: March 15, 2021

Abstract Background: Access to healthcare is important in controlling malaria burden and, as a result, distance or travel time health facilities often significant predictor modeling prevalence. Adding new may reduce overall and decrease transmission. To help guide local decision makers they scale up community-based accessibility, we explore how the allocation of might influence prevalence Bunkpurugu-Yunyoo district northern Ghana. We perform location-allocation analysis find optimal locations by minimizing three district-wide objectives separately: prevalence, incidence, average facilities. Methods: used generalized additive model function facility other geospatial covariates. The predictions are calculate optimization criteria conduct spatial optimization. This was performed for two scenarios: adding existing ones, hypothetical scenario which would be allocated anew. created an interactive web application facilitate efficient presentation this allow users experiment with their choice location criteria. Results: Using criteria, found that were not covered services benefit from facilities, regardless scenarios. Due non-linear relationship between incidence chosen using criterion tend inequitable different those based on Conclusion: Our findings underscore importance multiple decision-making process. believe our can repurposed regions bridging gap science, models decisions.

Language: Английский

---

Dashboard Applications to Support Motivation: A Design Case

Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 37

Published: Jan. 1, 2023

Language: Английский

---

Dashboard Applications to Support Motivation: A Design Case

Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 2563 - 2599

Published: Jan. 1, 2023

Language: Английский

---