Inflammatory bowel disease-associated colorectal cancer negatively affects surgery outcomes and health care costs.

BACKGROUND: Inflammatory bowel disease may affect the pathogenesis and clinicopathologic course of colorectal cancer. We sought to characterize the impact of inflammatory bowel disease on outcomes after colectomy and/or proctectomy for a malignant indication. METHODS: Patients diagnosed with colorectal cancer as well as a pre-existing comorbid diagnosis of Crohn's disease or ulcerative colitis between 2018 and 2021 were identified from Medicare claims data. The postoperative textbook outcome was defined as the absence of complications, as well as no extended hospital stay, 90-day readmission, or mortality. Postdischarge disposition and expenditures were also examined. RESULTS: Among 191,684 patients with colorectal cancer, 4,770 (2.5%) had a pre-existing diagnosis of inflammatory bowel disease. Patients with inflammatory bowel disease-associated colorectal cancer were less likely to undergo surgical resection (no inflammatory bowel disease: 47.6% vs inflammatory bowel disease: 42.1%; P < .001). Among patients who did undergo colorectal surgery, individuals with inflammatory bowel disease were less likely to achieve a textbook outcome (odds ratio 0.64 [95% confidence interval 0.58-0.70]). In particular, patients with inflammatory bowel disease had higher odds of postoperative complications (odds ratio 1.24 [1.12-1.38]), extended hospital stay (odds ratio 1.41 [1.27-1.58]), and readmission within 90 days (odds ratio 1.56 [1.42-1.72]) (all P < .05). Patients with inflammatory bowel disease-associated colorectal cancer were less likely to be discharged to their home under independent care (odds ratio 0.77 [0.68-0.87]) and had 12.2% higher expenditures, which correlated with whether the patient had a postoperative textbook outcome. CONCLUSION: One in 40 patients with colorectal cancer had concomitant inflammatory bowel disease. Inflammatory bowel disease was associated with a lower probability of achieving ideal postoperative outcomes, higher postdischarge expenditure, as well as worse long-term survival after colorectal cancer resection.

Bayesian evaluation of meat juice ELISA for detecting Salmonella in slaughtered pigs without specifying a cut-off.

BACKGROUND: Consumption of pork and pork products is a major source of human infection with Salmonella. Salmonella is typically subclinical in pigs, making it difficult to identify infected pigs. Therefore, effective surveillance of Salmonella in pigs critically relies on good knowledge on how well the diagnostic tests used perform. A test that has been used in several countries for Salmonella monitoring is serological testing of meat juice using an ELISA (MJ ELISA) to detect antibodies against Salmonella. This MJ ELISA data could be used to estimate infection prevalence and trends. However, as the MJ ELISA output is a sample-to-positive (S/P) ratio, which is a continuous outcome rather than a binary (positive/negative) result, the interpretation of this data depends upon a chosen cut-off. AIM: To apply Bayesian latent class models (BLCMs) to estimate diagnostic accuracy of the MJ ELISA test values in the absence of a gold standard without needing to apply a cut-off. METHODS AND RESULTS: BLCMs were fitted to data from a UK abattoir survey carried out in 2006 in order to estimate the diagnostic accuracy of MJ ELISA with respect to the prevalence of active Salmonella infection. This survey consisted of a MJ ELISA applied in parallel with the bacteriological testing of caecal contents, carcass swabs and lymph nodes (n = 625). A BLCM was also fitted to the same data but with dichotomisation of the MJ ELISA results, in order to compare with the model using continuous outcomes. Estimates were obtained for sensitivity and specificity of the ELISA over a range of S/P values and for the bacteriological tests and were found to be similar between the models using continuous and dichotomous ELISA outcomes. CONCLUSION: The Bayesian method without specifying a cut-off does allow prevalence to be inferred without specifying a cut-off for the ELISA. The study results will be useful for estimating infection prevalence from serological surveillance data.

The undue influence of genetic information on senior medical students' treatment decisions.

BACKGROUND: Knowledge of the genetic basis of health conditions can influence how the public perceives their own and others' health. When there are known genetic associations for such conditions, genetic essentialist biases facilitate deterministic thinking and an over-emphasis of genetic causality. This study investigates the role that genetic essentialist biases play in medical decision-making. METHODS: Senior postgraduate medical students (N = 102) read a scenario in which a patient presents with gastroenterological symptoms. Half of the students were told that the patient tested positive for HLADQ2 - a gene implicated in, but not deterministic of, coeliac disease. The other half received no genetic information. Students were assessed on their recommendations for investigation and management using a multiple-choice questionnaire. Twenty-two of these students participated in a qualitative follow-up which used focus groups and semi-structured interviews to explore the reasoning behind students' responses. RESULTS: Management recommendations differed between the two groups, with those receiving genetic information more likely to recommend a gluten free diet. Recommendations for further investigation did not differ significantly between groups. Interviews suggested that these findings arose despite the students' good understanding of the common non-deterministic nature of genes, such as HLADQ2. CONCLUSION: Differences in management recommendations suggest that the inclusion of genetic information unduly biased students towards a premature diagnosis of a serious health condition, coeliac disease. Follow-up interviews introduced the possibility that observed manipulation-based differences may have been based on anticipated expectations of examiners, rather than perceived future clinical practice. Based on the present results it is unclear whether intentional exam-taking strategies fully account for medical students' decisions, or if they contribute in addition to the activation of genetic essentialist biases. Further research in clinical settings may ascertain whether genetic essentialist biases would truly influence medical student and doctors within their clinical practice environment.

Clinician perspectives on voluntary assisted dying and willingness to be involved: a multisite, cross-sectional survey during implementation in New South Wales, Australia.

BACKGROUND: In the context of nationwide law reform, New South Wales (NSW) became the last state in Australia to legalise voluntary assisted dying (VAD) - commencing 28 November 2023. Clinicians have divergent views regarding VAD, with varying levels of understanding, support, and willingness to be involved, and these may have a significant impact on the successful implementation. AIMS: To understand levels of support, understanding and willingness to be involved in VAD among clinical staff across NSW during implementation of VAD. METHODS: A multisite, cross-sectional online survey of clinicians across four local health districts, assessing relevant demographics, awareness of and support for VAD legislation and willingness to be involved in different levels of VAD-related clinical activities. RESULTS: A total of 3010 clinical staff completed the survey. A majority of participants were aware of VAD legislation in NSW (86.35%) and supportive of it (76%), with nursing and allied health clinicians significantly more likely than medical specialists to express support. Among medical specialists, support was statistically more likely in those who did not care for patients at the end of life and those with limited knowledge of the legislation. Willingness of medical specialists to perform key roles was significantly lower, with 41.49% willing to act in coordinating or consulting roles, and only 23.21% as administering practitioners. CONCLUSIONS: The majority of clinical staff surveyed across NSW supported VAD legislation. While many eligible clinicians were reluctant to be actively involved, sufficient numbers appear willing to provide VAD services, indicating that successful implementation should be possible.

Modelling flock heterogeneity in the transmission of peste des petits ruminants virus and its impact on the effectiveness of vaccination for eradication.

Peste des petits ruminants (PPR) is an acute infectious disease of small ruminants targeted for global eradication by 2030. The Global Strategy for Control and Eradication (GSCE) recommends mass vaccination targeting 70% coverage of small ruminant populations in PPR-endemic regions. These small ruminant populations are diverse with heterogeneous mixing patterns that may influence PPR virus (PPRV) transmission dynamics. This paper evaluates the impact of heterogeneous mixing on (i) PPRV transmission and (ii) the likelihood of different vaccination strategies achieving PPRV elimination, including the GSCE recommended strategy. We develop models simulating heterogeneous transmission between hosts, including a metapopulation model of PPRV transmission between villages in lowland Ethiopia fitted to serological data. Our results demonstrate that although heterogeneous mixing of small ruminant populations increases the instability of PPRV transmission-increasing the chance of fadeout in the absence of intervention-a vaccination coverage of 70% may be insufficient to achieve elimination if high-risk populations are not targeted. Transmission may persist despite very high vaccination coverage (>90% small ruminants) if vaccination is biased towards more accessible but lower-risk populations such as sedentary small ruminant flocks. These results highlight the importance of characterizing small ruminant mobility patterns and identifying high-risk populations for vaccination and support a move towards targeted, risk-based vaccination programmes in the next phase of the PPRV eradication programme. Our modelling approach also illustrates a general framework for incorporating heterogeneous mixing patterns into models of directly transmitted infectious diseases where detailed contact data are limited. This study improves understanding of PPRV transmission and elimination in heterogeneous small ruminant populations and should be used to inform and optimize the design of PPRV vaccination programmes.

Cumulative Sum Chart as Complement to Objective Assessment of Graduating Surgical Resident Competency: An Exploratory Study.

BACKGROUND: Rater-based assessment and objective assessment play an important role in evaluating residents' clinical competencies. We hypothesize that a cumulative sum (CUSUM) chart of operative time is a complement to the assessment of chief general surgery residents' competencies with ACGME Milestones, aiding residency programs' determination of graduating residents' practice readiness. STUDY DESIGN: We extracted ACGME Milestone evaluations of performance of operations and procedures (POP) and 3 objective metrics (operative time, case type, and case complexity) from 3 procedures (cholecystectomy, colectomy, and inguinal hernia) performed by 3 cohorts of residents (N = 15) during their PGY4-5. CUSUM charts were computed for each resident on each procedure type. A learning plateau was defined as at least 4 cases consistently locating around the centerline (target performance) at the end of a CUSUM chart with minimal deviations (range 0 to 1). RESULTS: All residents reached the ACGME graduation targets for the overall POP by the end of chief year. A total of 2,446 cases were included (cholecystectomy N = 1234, colectomy N = 507, and inguinal hernia N = 705), and 3 CUSUM chart patterns emerged: skewed distribution, bimodal distribution, and peaks and valleys distribution. Analysis of CUSUM charts revealed surgery residents' development processes in the operating room towards a learning plateau vary, and only 46.7% residents reach a learning plateau in all 3 procedures upon graduation. CONCLUSIONS: CUSUM charts of operative time complement the ACGME Milestones evaluations. The use of both may enable residency programs to holistically determine graduating residents' practice readiness and provide recommendations for their upcoming career/practice transition.

Executive Summary: Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus.

BACKGROUND: Numerous laboratory tests are used in the diagnosis and management of patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. An expert committee compiled evidence-based recommendations for laboratory analysis in patients with diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments in the full version of the guideline). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association of Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT: Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (Hb A1c) in the blood. Glycemic control is monitored by the patients measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring devices and also by laboratory analysis of Hb A1c. The potential roles of noninvasive glucose monitoring; genetic testing; and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY: The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.

Executive Summary: Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus.

BACKGROUND: Numerous laboratory tests are used in the diagnosis and management of patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. An expert committee compiled evidence-based recommendations for laboratory analysis in patients with diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments in the full version of the guideline). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT: Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the patients measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring; genetic testing; and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY: The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.

Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus.

BACKGROUND: Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH: An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT: Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY: The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.

Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus.

BACKGROUND: Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH: An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association of Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT: Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (Hb A1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of Hb A1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY: The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.

The Ethics of Overlapping Relationships in Rural and Remote Healthcare. A Narrative Review.

It is presently unclear whether a distinct "rural ethics" of navigating professional boundaries exists, and if so, what theoretical approaches may assist practitioners to manage overlapping relationships. To be effective clinicians while concurrently partaking in community life, practitioners must develop and maintain safe, ethical, and sustainable therapeutic relationships in rural and remote healthcare. A narrative review was conducted identifying a significant body of qualitative and theoretical literature which explores the pervasiveness of dual relationships for practitioners working in rural and remote healthcare. Rather than viewing dual relationships as ethically unacceptable, much contemporary work focusses on the lived experiences of healthcare workers and explores what approaches may be available that both protect the therapeutic relationship while recognizing the unique nature of rural and remote healthcare practice. We conclude that practitioners must have a means of operating within a contextually informed ethics of professional boundaries. Drawing on pre-existing work, one schema is proposed that could form the basis for further engagement through interactive teaching sessions, professional development, mentoring, or guidelines.

Algorithmic Identification of Patients With Aspirin-Exacerbated Respiratory Disease Using an Electronic Health Record.

OBJECTIVE: To determine whether an electronic health record (EHR) system can be used to identify cases of aspirin-exacerbated respiratory disease (AERD) in an area outside of a regional referral center with low rates of aspirin desensitization therapy. STUDY DESIGN: Retrospective chart review single academic tertiary care hospital. SETTING: Single-site academic tertiary care hospital. METHODS: Using Epic's SlicerDicer function, an algorithm was created and applied to all patient charts from 2013 to 2021. The algorithm was as follows: "Allergy/Contraindication to NSAIDs OR aspirin" AND "Diagnosis of Nasal polyp AND "Diagnosis of Asthma." Clinical data including demographics, NSAID reaction, and specialist involvement was collected. RESULTS: A total of 54 potential cases of AERD were identified. Thirty-two were determined to have AERD after chart review, yet 12 of these patients (37.5%) had no mention of AERD within the chart. The 54 patients were stratified into 2 cohorts based on reaction to NSAIDs: respiratory (n = 29) or unspecified (n = 25). Of the patients in the respiratory reaction group, 26 were found to have clinical AERD, demonstrating a positive predictive values (PPV) of 89.7%. The overall PPV was 59.3%. Those with a respiratory reaction to NSAIDS listed in the EHR were more likely to have clinical AERD (odds ratio 27.44; confidence interval 6.08-123.85; p < 0.0001). Only 2 patients (6.3%) underwent aspirin desensitization. CONCLUSION: AERD remains under-diagnosed in the study population. The informatics algorithm presented here has a high positive predictive value for identifying clinical AERD patients in a geographical area with low rates of aspirin desensitization and may aid in identifying candidates for expanded treatment options.

Study of Salmonella detection in laying hens using a Bayesian model.

As part of the measures to reduce the prevalence of Salmonella in poultry in the UK, National Control Programmes (NCPs) have been implemented. These involve regular statutory testing of poultry holdings to monitor and estimate the prevalence of Salmonella in the national flock population and to control Salmonella on holdings with positive flocks, especially those serovars most identified with human illness: Salmonella Enteritidis (SE) and S. Typhimurium (ST). It is very important to ensure that the level of testing is appropriate so that it is sufficiently effective to identify positive flocks and to monitor prevalence, but also efficient in the use of resources. The aim of this study was to estimate the sensitivity of both the Operator and Competent Authority (CA) Official sampling used to detect infected flocks, and to also estimate the true proportion of infected holdings of commercial laying flocks in GB each year of the NCP, along with the trend of any changes in prevalence for both SE/ST and non-SE/ST. A Bayesian model was developed to estimate the sensitivity of both Operator and CA Official sampling from the NCP data 2009-2018, and to estimate the true prevalence of infected holdings. The model estimate for the prevalence of infected holdings for the first complete year of the NCP was 3.9% (95% Credible Interval (CI) 2.8-6.2%) for non-SE/ST and 0.8% (95% CI: 0.4%-1.5%) for SE/ST. Prevalence had reduced to 1.6% (non-SE/ST) (95% CI 1.0%-2.5%) and 0.2% (SE/ST) (95% CI 0.1%-0.4%) in 2018. Results indicated a very low sensitivity of Operator sampling (~9%), but a much higher sensitivity of CA Official sampling (~44%). The true prevalence of Salmonella infected holdings in the UK had a mean average reduction of 10.6% (95% CI: 6.3%-15.1%) per annum (non-SE/ST) and 15.9% (95% CI: 6.0%-19.8%) annual reduction for SE/ST. This has shown the effectiveness of the NCP for Salmonella in commercial laying flocks, with reductions in Salmonella overall more or less equal to the target reduction for regulated serovars of 10% per annum. The true prevalence of SE/ST was estimated to be below the final target of less than 2% in every year and was below 0.5% at the end of the 10 year period.

Facial Trauma During the COVID-19 Pandemic.

Study Design: Retrospective cohort study. Objective: The purpose of this study is to evaluate the impact of the COVID-19 global pandemic on the regional trends in facial trauma at a tertiary care, level 1 trauma center in Central New York. Methods: The study sample was derived from the population of patients who presented with facial trauma to the emergency department at the Downtown and/or Community Campuses of SUNY Upstate University Hospital between March 1, 2020, and May 15, 2020, and compared to two historical controls in 2018 and 2019. Descriptive and bivariate statistics were calculated for study variables in each cohort. Poisson regression was used to compare incident rate ratios (IRR) with 95% confidence intervals with significance set at P < .05. Results: Sixty five patients presented during the COVID-19 pandemic, while 83 presented in 2019 and 95 in 2018. For the study period, the most common mechanism was assault in 47.7%. IRR was significantly lower than in 2018 (IRR = 1.46, P = .018), but not significantly different from 2019 (IRR = 1.28, P = .14). During lockdown, IRR was significantly decreased compared to 2019 (IRR = 1.84, P = .0029) and 2018 (IRR = 2.16, P < .001). Conclusions: The volume of facial trauma seen in Central New York appears undeterred in the absence of "shelter in place" orders. Analysis of pandemic and regional trauma variations can offer valuable insight for improved resource allocation to better prepare for potentially high-risk procedures.

CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems.

Closed-loop Vagus Nerve Stimulation (VNS) based on physiological feedback signals is a promising approach to regulate organ functions and develop therapeutic devices. Designing closed-loop neurostimulation systems requires simulation environments and computing infrastructures that support i) modeling the physiological responses of organs under neuromodulation, also known as physiological models, and ii) the interaction between the physiological models and the neuromodulation control algorithms. However, existing simulation platforms do not support closed-loop VNS control systems modeling without extensive rewriting of computer code and manual deployment and configuration of programs. The CONTROL-CORE project aims to develop a flexible software platform for designing and implementing closed-loop VNS systems. This paper proposes the software architecture and the elements of the CONTROL-CORE platform that allow the interaction between a controller and a physiological model in feedback. CONTROL-CORE facilitates modular simulation and deployment of closed-loop peripheral neuromodulation control systems, spanning multiple organizations securely and concurrently. CONTROL-CORE allows simulations to run on different operating systems, be developed in various programming languages (such as Matlab, Python, C++, and Verilog), and be run locally, in containers, and in a distributed fashion. The CONTROL-CORE platform allows users to create tools and testbenches to facilitate sophisticated simulation experiments. We tested the CONTROL-CORE platform in the context of closed-loop control of cardiac physiological models, including pulsatile and nonpulsatile rat models. These were tested using various controllers such as Model Predictive Control and Long-Short-Term Memory based controllers. Our wide range of use cases and evaluations show the performance, flexibility, and usability of the CONTROL-CORE platform.

The impact of BCG strains and repeat vaccinations on immunodiagnostic tests in Eurasian badgers (Meles meles).

Bacille Calmette-Guerin (BCG) is a potential tool in the control of Mycobacterium bovis in European badgers (Meles meles). A five year Test and Vaccinate or Remove (TVR) research intervention project commenced in 2014 using two BCG strains (BCG Copenhagen 1331 (Years 1-3/ BadgerBCG) and BCG Sofia SL2222 (Years 4-5). Badgers were recaptured around 9 weeks after the Year 5 vaccination and then again a year later. The Dual-Path Platform (DPP) Vet TB assay was used to detect serological evidence of M. bovis infection. Of the 48 badgers, 47 had increased Line 1 readings (MPB83 antigen) between the Year 5 vaccination and subsequent recapture. The number of BCG Sofia vaccinations influenced whether a badger tested positive to the recapture DPP VetTB assay Line 1 (p < 0.001) while the number of BadgerBCG vaccinations did not significantly affect recapture Line 1 results (p = 0.59). Line 1 relative light units (RLU) were more pronounced in tests run with sera than whole blood. The results from an in_house MPB83 ELISA results indicated that the WB DPP VetTB assay may not detect lower MPB83 IgG levels as well as the serum DPP VetTB assay. Changes in interferon gamma assay (IFN-γ) results were seen in 2019 with significantly increased CFP-10 and PPDB readings. Unlike BadgerBCG, BCG Sofia induces an immune response to MPB83 (the immune dominant antigen in M. bovis badger infection) that then affects the use of immunodiagnostic tests. The use of the DPP VetTB assay in recaptured BCG Sofia vaccinated badgers within the same trapping season is precluded and caution should be used in badgers vaccinated with BCG Sofia in previous years. The results suggest that the DPP VetTB assay can be used with confidence in badgers vaccinated with BadgerBCG as a single or repeated doses.

SCoVMod - a spatially explicit mobility and deprivation adjusted model of first wave COVID-19 transmission dynamics.

Background: Mobility restrictions prevent the spread of infections to disease-free areas, and early in the coronavirus disease 2019 (COVID-19) pandemic, most countries imposed severe restrictions on mobility as soon as it was clear that containment of local outbreaks was insufficient to control spread. These restrictions have adverse impacts on the economy and other aspects of human health, and it is important to quantify their impact for evaluating their future value. Methods: Here we develop Scotland Coronavirus transmission Model (SCoVMod), a model for COVID-19 in Scotland, which presents unusual challenges because of its diverse geography and population conditions. Our fitted model captures spatio-temporal patterns of mortality in the first phase of the epidemic to a fine geographical scale. Results: We find that lockdown restrictions reduced transmission rates down to an estimated 12\% of its pre-lockdown rate. We show that, while the timing of COVID-19 restrictions influences the role of the transmission rate on the number of COVID-related deaths, early reduction in long distance movements does not. However, poor health associated with deprivation has a considerable association with mortality; the Council Area (CA) with the greatest health-related deprivation was found to have a mortality rate 2.45 times greater than the CA with the lowest health-related deprivation considering all deaths occurring outside of carehomes. Conclusions: We find that in even an early epidemic with poor case ascertainment, a useful spatially explicit model can be fit with meaningful parameters based on the spatio-temporal distribution of death counts. Our simple approach is useful to strategically examine trade-offs between travel related restrictions and physical distancing, and the effect of deprivation-related factors on outcomes.