Overview of game meat utilisation challenges and opportunities: A European perspective.

Re-wilding and similar initiatives have resulted in an increase in wildlife suitable for human consumption in Europe. However, game meat production and consumption present several challenges, including infectious diseases which pose risks to livestock, processers, and consumers. This review provides insights into the infectious diseases and toxic contaminants associated with game meat. The effect of killing method on the meat quality is also discussed and means of improving the meat quality of game meat is elucidated. The use of different food safety systems that could be applied to provide safe meat is reported. The importance of collaborative multi-sector approaches is emphasized, to generate and distribute knowledge and implement One Health strategies that ensure the safe, traceable, sustainable, and professional development of commercial game meat supply chains.

Pesquisa traça raio de infecção em casos de febre amarela

Publicado na revista científica Parasites and Vectors, um estudo liderado pelo Instituto Oswaldo Cruz (IOC/Fiocruz) em parceria com o Instituto Federal do Norte de Minas Gerais (IFNMG) revela características importantes desse surto, que podem contribuir para o planejamento de ações de vigilância e controle do agravo.

There are no equal opportunity infectors: Epidemiological modelers must rethink our approach to inequality in infection risk.

Mathematical models have come to play a key role in global pandemic preparedness and outbreak response: helping to plan for disease burden, hospital capacity, and inform nonpharmaceutical interventions. Such models have played a pivotal role in the COVID-19 pandemic, with transmission models-and, by consequence, modelers-guiding global, national, and local responses to SARS-CoV-2. However, these models have largely not accounted for the social and structural factors, which lead to socioeconomic, racial, and geographic health disparities. In this piece, we raise and attempt to clarify several questions relating to this important gap in the research and practice of infectious disease modeling: Why do epidemiologic models of emerging infections typically ignore known structural drivers of disparate health outcomes? What have been the consequences of a framework focused primarily on aggregate outcomes on infection equity? What should be done to develop a more holistic approach to modeling-based decision-making during pandemics? In this review, we evaluate potential historical and political explanations for the exclusion of drivers of disparity in infectious disease models for emerging infections, which have often been characterized as "equal opportunity infectors" despite ample evidence to the contrary. We look to examples from other disease systems (HIV, STIs) and successes in including social inequity in models of acute infection transmission as a blueprint for how social connections, environmental, and structural factors can be integrated into a coherent, rigorous, and interpretable modeling framework. We conclude by outlining principles to guide modeling of emerging infections in ways that represent the causes of inequity in infection as central rather than peripheral mechanisms.

Regional Relative Risk, a Physics-Based Metric for Characterizing Airborne Infectious Disease Transmission.

Airborne infectious disease transmission events occur over a wide range of spatial scales and can be an important means of disease transmission. Physics- and biology-based models can assist in predicting airborne transmission events, overall disease incidence, and disease control strategy efficacy. We describe a new theory that extends current approaches for the case in which an individual is infected by a single airborne particle, including the scenario in which numerous infectious particles are present in the air but only one causes infection. A single infectious particle can contain more than one pathogenic microorganism and be physically larger than the pathogen itself. This approach allows robust relative risk estimates even when there is wide variation in (i) individual exposures and (ii) the individual response to that exposure (the pathogen dose-response function can take any mathematical form and vary by individual). Based on this theory, we propose the regional relative risk-a new metric, distinct from the traditional relative risk metric, that compares the risk between two regions. In theory, these regions can range from individual rooms to large geographic areas. In this paper, we apply the regional relative risk metric to outdoor disease transmission events over spatial scales ranging from 50 m to 20 km, demonstrating that in many common cases minimal input information is required to use the metric. Also, we demonstrate that the model predictions are consistent with data from prior outbreaks. Future efforts could apply and validate this theory for other spatial scales, such as transmission within indoor environments. This work provides context for (i) the initial stages of an airborne disease outbreak and (ii) larger-scale disease spread, including unexpected low-probability disease "sparks" that potentially affect remote populations, a key practical issue in controlling airborne disease outbreaks. IMPORTANCE Airborne infectious disease transmission events occur over a wide range of spatial scales and can be important to disease outbreaks. We describe a new physics- and biology-based theory for the important case in which individuals are infected by a single airborne particle (even though numerous infectious particles can be emitted into the air and inhaled). Based on this theory, we propose a new epidemiological metric, regional relative risk, that compares the risk between two geographic regions (in theory, regions can range from individual rooms to large areas). Our modeling of transmission events predicts that for many scenarios of interest, minimal information is required to use this metric for locations 50 m to 20 km downwind. This prediction is consistent with data from prior disease outbreaks. Future efforts could apply and validate this theory for other spatial scales, such as indoor environments. Our results may be applicable to many airborne diseases a priori, as these results depend on the physics of airborne particulate dispersion.

Sample size calculation for phylogenetic case linkage.

Sample size calculations are an essential component of the design and evaluation of scientific studies. However, there is a lack of clear guidance for determining the sample size needed for phylogenetic studies, which are becoming an essential part of studying pathogen transmission. We introduce a statistical framework for determining the number of true infector-infectee transmission pairs identified by a phylogenetic study, given the size and population coverage of that study. We then show how characteristics of the criteria used to determine linkage and aspects of the study design can influence our ability to correctly identify transmission links, in sometimes counterintuitive ways. We test the overall approach using outbreak simulations and provide guidance for calculating the sensitivity and specificity of the linkage criteria, the key inputs to our approach. The framework is freely available as the R package phylosamp, and is broadly applicable to designing and evaluating a wide array of pathogen phylogenetic studies.

Infección comunitaria por Clostridium difficile asociada a colitis ulcerativa idiopática / Community Clostridium difficile infection associated to idiopathic ulcerative colitis

RESUMEN Clostridium difficile es una bacteria relacionada con la colitis, asociada a antibióticos y a la diarrea adquirida en pacientes hospitalizados. Sin embargo, su comportamiento ha cambiado en los últimos años, hasta el punto de ser considerada un problema de salud mundial. Su curso clínico varía desde casos asintomáticos, colitis, hasta complicaciones que ponen en peligro la vida del paciente. Dentro de los factores de riesgo descritos se encuentra la enfermedad inflamatoria intestinal, especialmente la colitis ulcerativa idiopática. El caso reportado versa sobre la presentación de esta infección asociada a un brote de colitis ulcerativa en un paciente joven, sin antecedentes de enfermedad inflamatoria intestinal, consumo de antibióticos ni hospitalización (AU).

ABSTRACT Clostridium difficile is a bacterium related to antibiotic-associated colitis and to diarrhea acquired in hospitalized patients. However, its behavior has changed in recent years to the point of being considered as a global health problem. Its clinical course ranges from asymptomatic cases, colitis, to complications with risk for the patient's life. The inflammatory bowel disease, especially idiopathic ulcerative colitis is found among the described risk factors. The case reported deals with the presentation of this infection associated to an outbreak of ulcerative colitis in a young patient, with no previous history of inflammatory bowel disease, consumption of antibiotics or hospitalization (AU).

Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic.

It is puzzling why countries do not all implement stringent behavioral control measures to prevent the spread of COVID-19 even though preventive behaviors have been proven to be the only effective means to stop the pandemic. We provide a novel evolutionary life history explanation whereby pathogenic and parasitic prevalence represents intrinsic rather than extrinsic mortality risk that drives slower life history strategies and the related disease control motivation in all animals but especially humans. Our theory was tested and supported based on publicly available data involving over 150 countries. Countries having a higher historical prevalence of infectious diseases are found to adopt slower life history strategies that are related to prompter COVID-19 containment actions by the government and greater compliance by the population. Findings could afford governments novel insight into the design of more effective COVID-19 strategies that are based on enhancing a sense of control, vigilance, and compliance in the general population.

Patterns and processes of pathogen exposure in gray wolves across North America.

The presence of many pathogens varies in a predictable manner with latitude, with infections decreasing from the equator towards the poles. We investigated the geographic trends of pathogens infecting a widely distributed carnivore: the gray wolf (Canis lupus). Specifically, we investigated which variables best explain and predict geographic trends in seroprevalence across North American wolf populations and the implications of the underlying mechanisms. We compiled a large serological dataset of nearly 2000 wolves from 17 study areas, spanning 80° longitude and 50° latitude. Generalized linear mixed models were constructed to predict the probability of seropositivity of four important pathogens: canine adenovirus, herpesvirus, parvovirus, and distemper virus-and two parasites: Neospora caninum and Toxoplasma gondii. Canine adenovirus and herpesvirus were the most widely distributed pathogens, whereas N. caninum was relatively uncommon. Canine parvovirus and distemper had high annual variation, with western populations experiencing more frequent outbreaks than eastern populations. Seroprevalence of all infections increased as wolves aged, and denser wolf populations had a greater risk of exposure. Probability of exposure was positively correlated with human density, suggesting that dogs and synanthropic animals may be important pathogen reservoirs. Pathogen exposure did not appear to follow a latitudinal gradient, with the exception of N. caninum. Instead, clustered study areas were more similar: wolves from the Great Lakes region had lower odds of exposure to the viruses, but higher odds of exposure to N. caninum and T. gondii; the opposite was true for wolves from the central Rocky Mountains. Overall, mechanistic predictors were more informative of seroprevalence trends than latitude and longitude. Individual host characteristics as well as inherent features of ecosystems determined pathogen exposure risk on a large scale. This work emphasizes the importance of biogeographic wildlife surveillance, and we expound upon avenues of future research of cross-species transmission, spillover, and spatial variation in pathogen infection.

Pesticide application, educational treatment and infectious respiratory diseases: A mechanistic model with two impulsive controls.

In this paper, we develop and analyze an SIS-type epidemiological-mathematical model of the interaction between pesticide use and infectious respiratory disease transmission for investigating the impact of pesticide intoxication on the spread of these types of diseases. We further investigate the role of educational treatment for appropriate pesticide use on the transmission dynamics. Two impulsive control events are proposed: pesticide use and educational treatment. From the proposed model, it was obtained that the rate of forgetfulness towards educational treatment is a determining factor for the reduction of intoxicated people, as well as for the reduction of costs associated with educational interventions. To get reduced intoxications, the population's fraction to which is necessary to apply the educational treatment depends on its individual effectiveness level and the educational treatments' forgetfulness rate. In addition, the turnover of agricultural workers plays a fundamental role in the dynamics of agrotoxic use, particularly in the application of educational treatment. For illustration, a flu-like disease with a basic reproductive number below the epidemic threshold of 1.0 is shown can acquire epidemic potential in a population at risk of pesticide exposure. Hence, our findings suggest that educational treatment targeting pesticide exposure is an effective tool to reduce the transmission rate of an infectious respiratory disease in a population exposed to the toxic substance.

Condition for Global Stability for a SEIR Model Incorporating Exogenous Reinfection and Primary Infection Mechanisms.

A mathematical model incorporating exogenous reinfection and primary progression infection processes is proposed. Global stability is examined using the geometric approach which involves the generalization of Poincare-Bendixson criterion for systems of n-ordinary differential equations. Analytical results show that for a Susceptible-Exposed-Infective-Recovered (SEIR) model incorporating exogenous reinfection and primary progression infection mechanisms, an additional condition is required to fulfill the Bendixson criterion for global stability. That is, the model is globally asymptotically stable whenever a parameter accounting for exogenous reinfection is less than the ratio of background mortality to effective contact rate. Numerical simulations are also presented to support theoretical findings.

The effect of heterogeneity on hypergraph contagion models.

The dynamics of network social contagion processes such as opinion formation and epidemic spreading are often mediated by interactions between multiple nodes. Previous results have shown that these higher-order interactions can profoundly modify the dynamics of contagion processes, resulting in bistability, hysteresis, and explosive transitions. In this paper, we present and analyze a hyperdegree-based mean-field description of the dynamics of the susceptible-infected-susceptible model on hypergraphs, i.e., networks with higher-order interactions, and illustrate its applicability with the example of a hypergraph where contagion is mediated by both links (pairwise interactions) and triangles (three-way interactions). We consider various models for the organization of link and triangle structures and different mechanisms of higher-order contagion and healing. We find that explosive transitions can be suppressed by heterogeneity in the link degree distribution when links and triangles are chosen independently or when link and triangle connections are positively correlated when compared to the uncorrelated case. We verify these results with microscopic simulations of the contagion process and with analytic predictions derived from the mean-field model. Our results show that the structure of higher-order interactions can have important effects on contagion processes on hypergraphs.

Infections after Natural Disasters.

Natural disasters, particularly flooding, are associated with many environmental changes, and the chances of infections after a disaster increase. Dead bodies are not associated with increased infections, but many other factors contribute to the increase in infections and possible outbreaks. This article discusses the factors associated with increased risk of infections and the types of infections that may occur after a natural disaster. This article also presents a brief discussion of infection prevention and mitigation after a natural disaster.

The Spanish National Network "Grupo Castrillo": 22 Years of Nationwide Neonatal Infection Surveillance.

OBJECTIVE: This study aimed to describe the epidemiology of vertically transmitted sepsis (VS) and nosocomial sepsis (NOS) in very low birth weight (VLBW) neonates (birth weight ≤ 1,500 g) over the past 22 years in Spain. STUDY DESIGN: This is a retrospective analysis of prospectively collected VS and NOS in neonates from 1996 to 2018 in the 44 neonatal units integrated in the Spanish Neonatal Network Grupo Castrillo. RESULTS: A total of 2,676 episodes of VS were recorded in 2,196,129 live births (LBs; 1.2/1,000 LBs) over the study period (1996-2018). The incidence declined from 2.4 to 1 to 1.2/1,000 LBs (p < 0.0001). Of the 2,676 episodes, 95.7% were early onset (≤72 hours) and 4.3% cases late onset VS. Group B streptococcus (GBS) (33.1%) and E. coli (29.3%) were the most frequently isolated pathogen. The GBS incidence declined significantly from 1.25 to 0.21/1,000 LBs (p < 0.0001). E. coli incidence showed a significant increase trend in VLBW infants (p < 0.05). The global mortality per 1000 LBs decreased from 0.21 to 0.13/1,000. A total of 7,036 episodes of NOS involving 5,493 VLBW infants were registered over 20,935 neonatal admissions (NAs) in the study period (2006-2018). The incidence was 26.2 per 100 NAs. The median postnatal age at onset was 13 days (interquartile range [IQR]: 9-23 days). Around 80% of cases occurred in infants with a central line in place. Gram positive (GP) bacteria accounted for 66.2% with Staphylococcus epidermidis as the most frequently isolated pathogen, gram negative (GN) bacteria entailed 27.4%, and fungi 6.2%. Klebsiella sp. was the most common GN isolated and Candida albicans the most prevalent fungus. The overall mortality was 8.3%. CONCLUSION: The causative pathogen of neonatal sepsis may change over time and between countries, therefore a national surveillance network based on a consensus definition could be essential to provide accurate information. KEY POINTS: · Grupo Castrillo is a Spanish network for neonatal infections surveillance.. · A neonatal sepsis definition based on epidemilogical and not only chronological criteria was established.. · Epidemiology of neonatal sepsis may change over time; therefore, a national surveillance network is essential to provide accurate information..

Use of face masks and other personal preventive measures by Hajj pilgrims and their impact on health problems during the Hajj.

BACKGROUND: The Hajj is one of the world's largest pilgrimage and gathers millions of Muslims from different nationalities every year. Communicable diseases have been reported frequently, during and following the Hajj, and these have been linked to individual behavioural measures. This study aimed to measure the effect of personal preventive measures, such as face mask use, hand hygiene and others, adopted by pilgrims in reducing the acquisition of infectious diseases. METHODS: We conducted a cross-sectional study at the Hajj terminal in King Abdulaziz International Airport in Jeddah, Saudi Arabia. Pilgrims were approached in the airport lounges after the 2017 Hajj season and prior to the departure of their flights from Jeddah to their home countries. An electronic data collection tool ('Open Data Kit') was used to gather survey data in regards to health problems and preventive measures during the Hajj. RESULTS: A total of 2973 Hajj pilgrims were surveyed. In all, 38.7% reported symptoms of upper respiratory tract infections (URTIs) and 5.4% reported symptoms of travel diarrhoea. Compliance with face mask use was 50.2%. Changing a face mask every 4 h was found to be significantly associated with lower prevalence of URTIs [adjusted odds ratio 0.56 (95% confidence interval 0.34-0.92), P = 0.02]. There was no statistical difference between overall face mask use and URTI acquisition. The main sources of food, eating raw vegetables/food, frequency of hand washing or use of hand sanitizers were not found to be significantly associated with reported travellers' diarrhoea. Unlicensed barbers were used by 12% of pilgrims and 9.2% of pilgrims reported using blades that were reused by other pilgrims. CONCLUSION: Preventive measures are the most effective way to prevent infections. Pilgrims can benefit from face masks by changing them frequently. There is still limited information on the effect of the use of face mask in decreasing the risk of URTI in mass gatherings.

Most self-touches are with the nondominant hand.

Self-touch may promote the transfer of microorganisms between body parts or surfaces to mucosa. In overt videography of a post-graduate office, students spent 9% of their time touching their own hair, face, neck, and shoulders (HFNS). These data were collected from 274,000 s of surveillance video in a Chinese graduate student office. The non-dominant hand contributed to 66.1% of HFNS-touches. Most importantly, mucous membranes were touched, on average, 34.3 (SE = 2.4) times per hour, which the non-dominant hand contributed to 240% more than the dominant hand. Gender had no significant effect on touch frequency, but a significant effect on duration per touch. The duration per touch on the HFNS was fitted with a log-log linear distribution. Touch behaviour analysis included surface combinations and a probability matrix for sequential touches of 20 sub-surfaces. These findings may partly explain the observed variation in the literature regarding the microbiome community distribution on human skin, supporting the importance of indirect contact transmission route in some respiratory disease transmission and providing data for risk analysis of infection spread and control.

Riesgo infeccioso en los tratamientos biológicos utilizados en enfermedades de base inmunológica / No disponible

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