Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

From Europe PMC via Jisc Publications RouterHistory: epub 2022-08-15, ppub 2022-10-01Publication status: PublishedFunder: UK Research and Innovation; Grant(s): ST/V006126/1, EP/V054236/1, EP/V033670/1We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs-a series of ideas, approaches and methods taken from existing visualization research and practice-deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. See https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

From The Royal Society via Jisc Publications RouterHistory: received 2021-10-14, accepted 2022-03-18, pub-electronic 2022-08-15, pub-print 2022-10-03Article version: VoRPublication status: PublishedFunder: UK Research and Innovation; Id: http://dx.doi.org/10.13039/100014013; Grant(s): EP/V033670/1, EP/V054236/1, ST/V006126/1We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and practice—deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. See https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/. This article is part of the theme issue ‘Technical challenges of modelling real-life epidemics and examples of overcoming these’

A cost evaluation of treatment alternatives in mild-to-moderate bleeding episodes in haemophilia patients with inhibitors in Turkey

A decision-analysis model was constructed to assess total direct health care costs of four current first-line treatment options for mild-to-moderate bleeding episodes in haemophilia patients with inhibitors in Turkey: recombinant activated Factor VII (rFVIIa); high-dose Factor VIII; prothrombin complex concentrate (PCC); and activated PCC (aPCC). Resource utilisation was based on a retrospective analysis of 105 bleeding episodes treated during the period January 1996 to December 2002. Clinical outcomes were derived from a combination of the retrospective patient data and literature review, both validated by an expert panel of Turkish haematologists. rFVIIa was more effective and resolved bleeds more quickly than any of the alternatives. rFVIIa and PCC were associated with similar direct treatment costs that were relatively lower than those compared with the other options. Given the better efficacy, rFVIIa should be considered the preferred treatment option in the management of haemophilia patients with inhibitors in Turkey. © 2005 T&F Informa UK Ltd

Impact of antimicrobial drug restrictions on doctors' behaviors

Background/aim: Broad-spectrum antibiotics have become available for use only with the approval of infectious disease specialists (IDSs) since 2003 in Turkey. This study aimed to analyze the tendencies of doctors who are not disease specialists (non-IDSs) towards the restriction of antibiotics. Materials and methods: A questionnaire form was prepared, which included a total of 22 questions about the impact of antibiotic restriction (AR) policy, the role of IDSs in the restriction, and the perception of this change in antibiotic consumption. The questionnaire was completed by each participating physician. Results: A total of 1906 specialists from 20 cities in Turkey participated in the study. Of those who participated, 1271 (67.5%) had ≤5 years of occupational experience (junior specialists = JSs) and 942 (49.4%) of them were physicians. Specialists having >5 years of occupational experience in their branch expressed that they followed the antibiotic guidelines more strictly than the JSs (P < 0.05) and 755 of physicians (88%) and 720 of surgeons (84.6%) thought that the AR policy was necessary and useful (P < 0.05). Conclusion: This study indicated that the AR policy was supported by most of the specialists. Physicians supported this restriction policy more so than surgeons did.Background/aim: Broad-spectrum antibiotics have become available for use only with the approval of infectious disease specialists (IDSs) since 2003 in Turkey. This study aimed to analyze the tendencies of doctors who are not disease specialists (non-IDSs) towards the restriction of antibiotics. Materials and methods: A questionnaire form was prepared, which included a total of 22 questions about the impact of antibiotic restriction (AR) policy, the role of IDSs in the restriction, and the perception of this change in antibiotic consumption. The questionnaire was completed by each participating physician. Results: A total of 1906 specialists from 20 cities in Turkey participated in the study. Of those who participated, 1271 (67.5%) had ≤5 years of occupational experience (junior specialists = JSs) and 942 (49.4%) of them were physicians. Specialists having >5 years of occupational experience in their branch expressed that they followed the antibiotic guidelines more strictly than the JSs (P < 0.05) and 755 of physicians (88%) and 720 of surgeons (84.6%) thought that the AR policy was necessary and useful (P < 0.05). Conclusion: This study indicated that the AR policy was supported by most of the specialists. Physicians supported this restriction policy more so than surgeons did

Evaluation of Dual Therapy in Real Life Setting in Treatment-Naïve Turkish Patients with HCV Infection: A Multicenter, Retrospective Study

Background: Before the introduction of direct-acting antivirals in the treatment of chronic hepatitis C patients, the combination of peginterferon alpha and ribavirin was the standard therapy. Observational studies that investigated sustained virological response (SVR) rates by these drugs yielded different outcomes. Aims: The goal of the study was to demonstrate real life data concerning SVR rate achieved by peginterferon alpha plus ribavirin in patients who were treatment-naïve. Study Design: A multicenter, retrospective observational study. Methods: The study was conducted retrospectively on 1214 treatment naïve-patients, being treated with peginterferon alpha-2a or 2b plus ribavirin in respect of the current guidelines between 2005 and 2013. The patients’ data were collected from 22 centers via a standard form, which has been prepared for this study. The data included demographic and clinical characteristics (gender, age, body weight, initial Hepatitis C virus RNA (HCV RNA) level, disease staging) as well as course of treatment (duration of treatment, outcomes, discontinuations and adverse events). Renal insufficiency, decompensated liver disease, history of transplantation, immunosuppressive therapy or autoimmune liver disease were exclusion criteria for the study. Treatment efficacy was assessed according to the patient’s demographic characteristics, baseline viral load, genotype, and fibrosis scores. Results: The mean age of the patients was 50.74 (±0.64) years. Most of them were infected with genotype 1 (91.8%). SVR was achieved in 761 (62.7%) patients. SVR rate was 59.1% in genotype 1, 89.4% in genotype 2, 93.8% in genotype 3, and 33.3% in genotype 4 patients. Patients with lower viral load yielded higher SVR (65.8% vs. 58.4%, p=0.09). SVR rates according to histologic severity were found to be 69.3%, 66.3%, 59.9%, 47.3%, and 45.5% in patients with fibrosis stage 0, 1, 2, 3 and 4, respectively. The predictors of SVR were male gender, genotype 2/3, age less than 45 years, low fibrosis stage, low baseline viral load and presence of early virological response. SVR rates to each peginterferon were found to be similar in genotype 1/4 although SVR rates were found to be higher for peginterferon alpha-2b in patients with genotype 2/3. The number of patients who failed to complete treatment due to adverse effects was 33 (2.7%). The number of patients failed to complete treatment due to adverse effects was 33 (2.7%). Conclusion: Our findings showed that the rate of SVR to dual therapy was higher in treatment-naïve Turkish patients than that reported in randomized controlled trials. Also peginterferon alpha-2a and alpha-2b were found to be similar in terms of SVR in genotype 1 patients

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

From PubMed via Jisc Publications RouterPublication status: ppublishWe report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs-a series of ideas, approaches and methods taken from existing visualization research and practice-deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. See https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

From The Royal Society via Jisc Publications RouterHistory: received 2021-10-14, accepted 2022-03-18, pub-electronic 2022-08-15, pub-print 2022-10-03Article version: VoRPublication status: PublishedFunder: UK Research and Innovation; Id: http://dx.doi.org/10.13039/100014013; Grant(s): EP/V033670/1, EP/V054236/1, ST/V006126/1We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and practice—deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. See https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/. This article is part of the theme issue ‘Technical challenges of modelling real-life epidemics and examples of overcoming these’