Orchard Sports Injury and Illness Classification System (OSIICS) Version 15.

BACKGROUND: Sports medicine (injury and illnesses) requires distinct coding systems because the International Classification of Diseases is insufficient for sports medicine coding. The Orchard Sports Injury and Illness Classification System (OSIICS) is one of two sports medicine coding systems recommended by the International Olympic Committee. Regular updates of coding systems are required. METHODS: For Version 15, updates for mental health conditions in athletes, sports cardiology, concussion sub-types, infectious diseases, and skin and eye conditions were considered particularly important. RESULTS: Recommended codes were added from a recent International Olympic Committee consensus statement on mental health conditions in athletes. Two landmark sports cardiology papers were used to update a more comprehensive list of sports cardiology codes. Rugby union protocols on head injury assessment were used to create additional concussion codes. CONCLUSION: It is planned that OSIICS Version 15 will be translated into multiple new languages in a timely fashion to facilitate international accessibility. The large number of recently published sport-specific and discipline-specific consensus statements on athlete surveillance warrant regular updating of OSIICS.

Using location history data from cell phones of infectious patients for disease surveillance / Usando dados do histórico de localização de telefones celulares de pacientes infecciosos para vigilância de doenças

Infectious diseases significantly contribute to global morbidity and mortality, highlighting the critical need for robust disease surveillance systems. The rapid and accurate identification of infection hotspots is crucial for effective disease control and eliminating vector reservoirs. Traditional methods, reliant on patient-reported data, are vague, slow, and non-integrative, presenting substantial barriers to fully understanding the underlying causes of infection transmission. The widespread usage of smartphones presents a unique opportunity to access, analyze, and monitor digital data. Particularly, location data can offer potential insights into infectious disease dynamics, which has remained largely unexplored. Firstly, the present study leverages location history data from smartphones of malaria patients in Manaus, Amazonas region, to pinpoint mosquito-breeding sites. Upon quantifying the location data, the primary transmission hotspots were identified to be concentrated on the outskirts of the city of Manaus. Additionally, the quantification and hotspot validation confirmed that newly visited locations during the exposure period were potential sources of infection transmission. Secondly, the current study also employs a novel digital contact investigation method for a human-to-human transmission infection such as tuberculosis to measure the exposure risk between the active index cases and their close contacts. The digital contact investigation revealed varied exposure durations between the recruited paired index and close contact participants based on the outcome of close contact. To summarize, the present study determines distinct mobility patterns associated with both these infectious diseases, potentially aiding in drafting targeted public health strategies and policies for digital epidemiological surveillance

As doenças infecciosas são um dos principais contribuintes para a morbidade e a mortalidade globais, enfatizando a necessidade crítica de sistemas robustos de vigilância de doenças. A identificação rápida e precisa dos pontos críticos de infecção é fundamental para o controle eficaz de doenças e a eliminação de reservatórios de vetores. Os métodos tradicionais, que dependem de dados relatados por pacientes, são vagos, lentos e não integrativos, apresentando barreiras significativas para a compreensão total das causas subjacentes da transmissão de infecções. O uso generalizado de dispositivos móveis apresenta uma oportunidade única de acessar, analisar e monitorar dados digitais. Especialmente, dados de localização podem oferecer informações úteis sobre a dinâmica de doenças infecciosas, que permanecem em grande parte inexploradas. Primeiramente, o presente estudo utiliza dados de histórico de localização de smartphones de pacientes com malária em Manaus, na região do Amazonas, para identificar locais de reprodução de mosquitos. Ao quantificar os dados de localização, identificaram-se os principais pontos de transmissão concentrados nos arredores da cidade de Manaus. Além do mais, a quantificação e a validação em campo confirmaram que os locais recém-visitados durante o período de exposição eram potenciais fontes de transmissão da infecção. Em segundo lugar, o estudo atual também emprega um inovador método de investigação digital de contato para uma infecção por transmissão de humano para humano, como a tuberculose, a fim de medir o risco por exposição entre os casos índice ativos e seus contatos próximos. A investigação digital de contato revelou períodos de exposição variados entre os participantes recrutados em pares de casos índice e contatos próximos, com base no resultado do contato próximo. Em resumo, o presente estudo identifica padrões distintos de mobilidade associados a ambas essas doenças infecciosas, auxiliando potencialmente na elaboração de estratégias e políticas de saúde pública direcionadas para a vigilância epidemiológica digital

mRNA Vaccine Development for Emerging Animal and Zoonotic Diseases.

In the prevention and treatment of infectious diseases, mRNA vaccines hold great promise because of their low risk of insertional mutagenesis, high potency, accelerated development cycles, and potential for low-cost manufacture. In past years, several mRNA vaccines have entered clinical trials and have shown promise for offering solutions to combat emerging and re-emerging infectious diseases such as rabies, Zika, and influenza. Recently, the successful application of mRNA vaccines against COVID-19 has further validated the platform and opened the floodgates to mRNA vaccine's potential in infectious disease prevention, especially in the veterinary field. In this review, we describe our current understanding of the mRNA vaccines and the technologies used for mRNA vaccine development. We also provide an overview of mRNA vaccines developed for animal infectious diseases and discuss directions and challenges for the future applications of this promising vaccine platform in the veterinary field.

HumanNet v3: an improved database of human gene networks for disease research.

Network medicine has proven useful for dissecting genetic organization of complex human diseases. We have previously published HumanNet, an integrated network of human genes for disease studies. Since the release of the last version of HumanNet, many large-scale protein-protein interaction datasets have accumulated in public depositories. Additionally, the numbers of research papers and functional annotations for gene-phenotype associations have increased significantly. Therefore, updating HumanNet is a timely task for further improvement of network-based research into diseases. Here, we present HumanNet v3 (https://www.inetbio.org/humannet/, covering 99.8% of human protein coding genes) constructed by means of the expanded data with improved network inference algorithms. HumanNet v3 supports a three-tier model: HumanNet-PI (a protein-protein physical interaction network), HumanNet-FN (a functional gene network), and HumanNet-XC (a functional network extended by co-citation). Users can select a suitable tier of HumanNet for their study purpose. We showed that on disease gene predictions, HumanNet v3 outperforms both the previous HumanNet version and other integrated human gene networks. Furthermore, we demonstrated that HumanNet provides a feasible approach for selecting host genes likely to be associated with COVID-19.

Changes in notifiable infectious disease incidence in China during the COVID-19 pandemic.

Nationwide nonpharmaceutical interventions (NPIs) have been effective at mitigating the spread of the novel coronavirus disease (COVID-19), but their broad impact on other diseases remains under-investigated. Here we report an ecological analysis comparing the incidence of 31 major notifiable infectious diseases in China in 2020 to the average level during 2014-2019, controlling for temporal phases defined by NPI intensity levels. Respiratory diseases and gastrointestinal or enteroviral diseases declined more than sexually transmitted or bloodborne diseases and vector-borne or zoonotic diseases. Early pandemic phases with more stringent NPIs were associated with greater reductions in disease incidence. Non-respiratory diseases, such as hand, foot and mouth disease, rebounded substantially towards the end of the year 2020 as the NPIs were relaxed. Statistical modeling analyses confirm that strong NPIs were associated with a broad mitigation effect on communicable diseases, but resurgence of non-respiratory diseases should be expected when the NPIs, especially restrictions of human movement and gathering, become less stringent.

Enlightenment on oscillatory properties of 23 class B notifiable infectious diseases in the mainland of China from 2004 to 2020.

A variety of infectious diseases occur in mainland China every year. Cyclic oscillation is a widespread attribute of most viral human infections. Understanding the outbreak cycle of infectious diseases can be conducive for public health management and disease surveillance. In this study, we collected time-series data for 23 class B notifiable infectious diseases from 2004 to 2020 using public datasets from the National Health Commission of China. Oscillatory properties were explored using power spectrum analysis. We found that the 23 class B diseases from the dataset have obvious oscillatory patterns (seasonal or sporadic), which could be divided into three categories according to their oscillatory power in different frequencies each year. These diseases were found to have different preferred outbreak months and infection selectivity. Diseases that break out in autumn and winter are more selective. Furthermore, we calculated the oscillation power and the average number of infected cases of all 23 diseases in the first eight years (2004 to 2012) and the next eight years (2012 to 2020) since the update of the surveillance system. A strong positive correlation was found between the change of oscillation power and the change in the number of infected cases, which was consistent with the simulation results using a conceptual hybrid model. The establishment of reliable and effective analytical methods contributes to a better understanding of infectious diseases' oscillation cycle characteristics. Our research has certain guiding significance for the effective prevention and control of class B infectious diseases.

Perfil de pacientes que concluíram o tratamento poliquimioterápico da hanseníase: um estudo transversal / Perfil de pacientes que concluyeron el tratamiento poliquimioterapéutico de la lepra: un estudio transversal / Profile of patients who completed multidrug therapy treatment for leprosy: a cross-sectional study

RESUMO Introdução: a hanseníase é uma doença infectocontagiosa que prevalece como problema de saúde pública no Brasil. Objetivo: descrever o perfil sociodemográfico, de tratamento e clínico de pacientes que concluíram o tratamento poliquimioterápico para a hanseníase. Método: estudo transversal, desenvolvido de novembro de 2017 a fevereiro de 2018 no município de Natal. A população-alvo foi constituída por 113 indivíduos cadastrados no Sistema de Informação de Agravos de Notificação e a amostra por 90, que foram notificados para a hanseníase e concluíram o tratamento poliquimioterápico, selecionados por sorteio. Os dados foram coletados por formulário, tabulados e analisados pelo SPSS 21. Quanto ao teste de Kolmogorov-Smirnov, não se observou uma distribuição de normalidade dos achados, optando-se por trabalhar com testes não paramétricos: qui-quadrado de Pearson (ou exato de Fisher) e o teste de Mann-Whitney. Resultados: predominaram indivíduos do sexo feminino, até 59 anos, com baixa renda, baixo grau de escolaridade, tratados nos centros de referência e classificados como paucibacilares. Conclusão: as condições de vulnerabilidade associada à predominância de casos tratados nos centros de referência reforçam a necessidade de organização da atenção básica para acompanhamento dos casos de hanseníase.

RESUMEN Introducción: la lepra es una enfermedad infectocontagiosa que prevalece como problema de salud pública en Brasil. Objetivo: describir el perfil sociodemográfico, de tratamiento y clínico de pacientes que concluyeron el tratamiento poliquimioterapéutico para la lepra. Método: estudio transversal, desarrollado de noviembre de 2017 a febrero de 2018 en el municipio de Natal. La población objetivo fue constituida por 113 individuos registrados en el Sistema de Información de Agravios de Notificación y la muestra por 90, que fueron notificados para la lepra y concluyeron el tratamiento poliquimioterapéutico, seleccionados por sorteo. Los datos fueron recogidos por formulario, tabulados y analizados por el SPSS 21. En cuanto a la prueba de Kolmogorov-Smirnov, no se observó una distribución de normalidad de los hallazgos, optándose por trabajar con pruebas no paramétricas: chi-cuadrado de Pearson (o exacta de Fisher) y la prueba de Mann-Whitney. Resultados: predominaron individuos del sexo femenino, hasta 59 años, con bajos ingresos, bajo grado de escolaridad, tratados en los centros de referencia y clasificados como paucibacilares. Conclusión: las condiciones de vulnerabilidad asociadas al predominio de casos tratados en los centros de referencia refuerzan la necesidad de organizar la atención básica para el seguimiento de los casos de lepra.

ABSTRACT Introduction: leprosy is an infectious and contagious disease that persists as a public health problem in Brazil. Objective: to describe the sociodemographic, treatment and clinical profile of patients who completed polychemotherapy treatment for leprosy. Method: cross-sectional study developed from November 2017 to February 2018 in the city of Natal. The target population consisted of 113 individuals registered in the Information System for Notifiable Diseases, and the sample consisted of 90, who were reported for leprosy and completed the multidrug therapy, selected by drawing lots. Data were collected using a form, tabulated and analyzed using SPSS 21. In the Kolmogorov-Smirnov test, non-normal distribution of the findings was found, and thus non-parametric tests were used, namely, Pearson's chi-square (or exact Fisher test) and the Mann-Whitney test. Results: there was a predominance of female individuals, up to 59 years old, with low income, low level of education, treated in reference centers and cases classified as paucibacillary. Conclusion: the conditions of vulnerability associated with the predominance of cases treated in reference centers reinforce the need to organize primary care in order to monitor leprosy cases.

Disentangling etiologies of CNS infections in Singapore using multiple correspondence analysis and random forest.

Central nervous system (CNS) infections cause substantial morbidity and mortality worldwide, with mounting concern about new and emerging neurologic infections. Stratifying etiologies based on initial clinical and laboratory data would facilitate etiology-based treatment rather than relying on empirical treatment. Here, we report the epidemiology and clinical outcomes of patients with CNS infections from a prospective surveillance study that took place between 2013 and 2016 in Singapore. Using multiple correspondence analysis and random forest, we analyzed the link between clinical presentation, laboratory results, outcome and etiology. Of 199 patients, etiology was identified as infectious in 110 (55.3%, 95%-CI 48.3-62.0), immune-mediated in 10 (5.0%, 95%-CI 2.8-9.0), and unknown in 79 patients (39.7%, 95%-CI 33.2-46.6). The initial presenting clinical features were associated with the prognosis at 2 weeks, while laboratory-related parameters were related to the etiology of CNS disease. The parameters measured were helpful to stratify etiologies in broad categories, but were not able to discriminate completely between all the etiologies. Our results suggest that while prognosis of CNS is clearly related to the initial clinical presentation, pinpointing etiology remains challenging. Bio-computational methods which identify patterns in complex datasets may help to supplement CNS infection diagnostic and prognostic decisions.

Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.

BACKGROUND: Machine learning (ML) is a growing field in medicine. This narrative review describes the current body of literature on ML for clinical decision support in infectious diseases (ID). OBJECTIVES: We aim to inform clinicians about the use of ML for diagnosis, classification, outcome prediction and antimicrobial management in ID. SOURCES: References for this review were identified through searches of MEDLINE/PubMed, EMBASE, Google Scholar, biorXiv, ACM Digital Library, arXiV and IEEE Xplore Digital Library up to July 2019. CONTENT: We found 60 unique ML-clinical decision support systems (ML-CDSS) aiming to assist ID clinicians. Overall, 37 (62%) focused on bacterial infections, 10 (17%) on viral infections, nine (15%) on tuberculosis and four (7%) on any kind of infection. Among them, 20 (33%) addressed the diagnosis of infection, 18 (30%) the prediction, early detection or stratification of sepsis, 13 (22%) the prediction of treatment response, four (7%) the prediction of antibiotic resistance, three (5%) the choice of antibiotic regimen and two (3%) the choice of a combination antiretroviral therapy. The ML-CDSS were developed for intensive care units (n = 24, 40%), ID consultation (n = 15, 25%), medical or surgical wards (n = 13, 20%), emergency department (n = 4, 7%), primary care (n = 3, 5%) and antimicrobial stewardship (n = 1, 2%). Fifty-three ML-CDSS (88%) were developed using data from high-income countries and seven (12%) with data from low- and middle-income countries (LMIC). The evaluation of ML-CDSS was limited to measures of performance (e.g. sensitivity, specificity) for 57 ML-CDSS (95%) and included data in clinical practice for three (5%). IMPLICATIONS: Considering comprehensive patient data from socioeconomically diverse healthcare settings, including primary care and LMICs, may improve the ability of ML-CDSS to suggest decisions adapted to various clinical contexts. Currents gaps identified in the evaluation of ML-CDSS must also be addressed in order to know the potential impact of such tools for clinicians and patients.

Viral Forecasting, Pathogen Cataloging, and Disease Ecosystem Mapping: Measuring Returns on Investments.

Infectious disease emergence into humans from animals or the environment occurs primarily due to genetic changes in the microbe through mutation or re-assortment making it either more transmissible or virulent or through a change in the disease "ecosystem". Research into infectious disease emergence can be grouped into different strategic approaches. One strategic approach is to study a specific or model disease system to understand the ecology of an infectious disease and how is transmitted and propagated through the environment and different hosts and then extrapolate that disease system knowledge to related pathogens. The other strategic approach follows the genomics and phylogenetics-tracking how pathogens are evolving and changing at the amino acid level. Here we argue that for understanding complex zoonotic diseases and for the purposes of preventing emergence and re-emergence into humans, that the Return on Investment be considered for the best research strategy.

Antibiotic dispensing following pediatric visits in the US emergency departments and outpatient settings from 2006 to 2016.

This study measured rates and trends in antibiotic dispensing for emergency department (ED) and outpatient visits by age groups. This retrospective analysis used data from the National Institutes of Health Collaboratory Distributed Research Network. The analysis included children (aged > 3 months to <12 years) and adolescents (aged 12 to <19 years) with or without an antibiotic dispensed within 3 days following visits for infectious diagnoses occurring from 2006 to 2016, with no antibiotic fills 90 days prior. Diagnoses were classified as: 1) respiratory tract infections (RTIs) for which antibiotics are mostly indicated; 2) RTIs for which antibiotics are mostly not indicated; 3) respiratory conditions for which antibiotics are never indicated; 4) infectious conditions beyond RTIs regardless of antibiotic indication. The largest annual decrease in any dispensed antibiotics (5% per year) was seen in ED visits for not indicated RTIs and never indicated respiratory conditions (incidence rate ratio [IRR] 0.95, 95% confidence interval [CI] 0.95-0.96). In outpatient settings, a 2% per year decrease was seen for not indicated RTIs and never indicated respiratory conditions (IRR 0.98, 95% CI 0.98-0.98). Broad-spectrum antibiotics had a 1% per year increase in outpatient settings for mostly indicated RTIs (IRR 1.01, 95% CI 1.01-1.01). Compared with adolescents, broad-spectrum antibiotic dispensing rates and trends were consistently higher for children regardless of diagnosis or care setting. Using national claims data, this real-world analysis found uneven decreases in potentially inappropriate antibiotic dispensing, suggesting the need for antibiotic stewardship interventions to become more common in outpatient settings.

Effects of peri-mortem infection on the entomofauna of decomposing buried human remains - a metadata analysis.

The role of infectious disease as a cause of death is undeniable. The affect infectious disease may have on decomposition after death is less well established. Furthermore, virtually no information is available regarding the effects of burial conditions in such circumstances, despite that numerous clandestine burials occur each year. Although many aspects of post-mortem pathology are well understood and provide frequent insight in medicolegal investigation, where buried bodies are concerned, there is great variation in the decomposition processes, depending on extrinsic and intrinsic conditions. Criminal burials and hurriedly dug clandestine graves are seldom deeper than 120 cm allowing access to certain invertebrates, excluding others that only develop in unburied bodies. Numerous studies have reported on such clandestine graves with a purpose to facilitate forensic investigation, but our knowledge of decomposition in deeper graves lags behind, despite several often-cited papers of over a century ago. The poor level of detail in deep-grave knowledge is in part due to resource deficiencies and ethical considerations, but in part due to lack of thorough investigation of the data in papers of often cited prior work. To this end, a metadata analysis assessed a paper written by Dr. Murray Galt Motter in 1898, providing detail of 150 disinterment events with linked medical records from City of Washington cemeteries. This paper, written more than a hundred years ago, was largely descriptive and the detailed data provided in a summary table were never fully analysed. The paper is often quoted despite these obvious oversights. The present study revisits this work, applying a frequency statistical analysis conducted using categorical data and chi-squared analysis. This new analysis reveals patterns and relationships so long 'locked-up' within the body of the table and provides greater understanding of the effect of infectious disease on the abundance of species in the entomofauna associated with deeply buried remains. The data confirm that the presence of adipocere (saponification) is detrimental to development of soil entomofauna ((X2 = 6·64, df = 1, p < 0·01)). Some species, in particular Proisotoma sepulcralis (Collembola), Eleusis pallida (Coleoptera) and Conicera tibialis (Diptera), were positively influenced by association with infectious disease cases (p < 0·01) while only Piophila casei (Diptera) demonstrated a negative association (p < 0·05). Furthermore, the presence of peri-mortem infectious disease, while not necessarily a cause of death, influences post-mortem colonisation of the buried body by insects. The abundance of some species is enhanced, suggesting that bacterial burdens enhance decomposition in a manner favourable to insect feeding and hence abundance, by releasing compounds that the entomofauna feeds on.

Neutrophil heterogeneity and its role in infectious complications after severe trauma.

Background: Trauma leads to a complex inflammatory cascade that induces both immune activation and a refractory immune state in parallel. Although both components are deemed necessary for recovery, the balance is tight and easily lost. Losing the balance can lead to life-threatening infectious complications as well as long-term immunosuppression with recurrent infections. Neutrophils are known to play a key role in these processes. Therefore, this review focuses on neutrophil characteristics and function after trauma and how these features can be used to identify trauma patients at risk for infectious complications. Results: Distinct neutrophil subtypes exist that play their own role in the recovery and/or development of infectious complications after trauma. Furthermore, the refractory immune state is related to the risk of infectious complications. These findings change the initial concepts of the immune response after trauma and give rise to new biomarkers for monitoring and predicting inflammatory complications in severely injured patients. Conclusion: For early recognition of patients at risk, the immune system should be monitored. Several neutrophil biomarkers show promising results and analysis of these markers has become accessible to such extent that they can be used for point-of-care decision making after trauma.

Adaptive memory and evolution of the human naturalistic mind: Insights from the use of medicinal plants.

Throughout evolutionary history, humans have been exposed to a wide variety of diseases, some of which have serious and even lethal consequences. Memorizing medicinal plants for the treatment of serious diseases likely maximized the chances of survival and reproduction and was instrumental in the evolutionary success of our species. In the present study, we used the idea of adaptive memory to understand whether human memory evolved to recall information about medicinal plants for the treatment of serious diseases. We considered plant-disease pairs of words as units of information available in a medical system based on the use of medicinal plants. The pairs included in the categories of chronic infectious diseases and transmissible infectious diseases were considered to be of higher adaptive value, whereas those included in the category of common conditions were considered to be of lower adaptive value. Pairs grouped into the category of emerging and reemerging diseases were employed to investigate conformity bias; pairs belonging to the category esthetic uses were considered to be of little adaptive relevance and utilized as an experimental control. Our results revealed that plant-disease pairs associated with the category of common conditions, considered by us to be of lower severity and less adaptive relevance for humans, were better remembered and retained in the participants' memory. We believe that prior experience with common conditions and the frequency of these conditions in the population may have intensified the ability to remember the plant-disease pairs associated with this group of diseases.

The concept of vulnerability applied to Healthcare-associated Infections.

OBJECTIVE: To discuss the potentialities of using the concept of vulnerability to support measures for preventing and controlling healthcare-associated infections (HAIs). METHODS: This theoretical study was conducted in steps: 1) presentation of markers that frame the concept of vulnerability; 2) presentation of the characteristics of the health events to which the concept of vulnerability is intended to be applied; 3) identification of research gaps that could be potentially filled by using the concept of vulnerability; 4) identification of the potentialities of using the concept of vulnerability to deal with HAIs. RESULTS: Proposal of a framework for analyzing HAIs from a vulnerability perspective, including the individual and collective dimensions. CONCLUSION: Using the concept of vulnerability to study and deal with HAIs favors a new approach to an old problem, unlike the dominant studies that highlight the individual aspects of the practices in healthcare services.

The concept of vulnerability applied to Healthcare-associated Infections / El concepto de la vulnerabilidad aplicado a las Infecciones Relacionadas con la Atención de la Salud / O conceito de vulnerabilidade aplicado às Infecções Relacionadas à Assistência à Saúde

ABSTRACT Objective: To discuss the potentialities of using the concept of vulnerability to support measures for preventing and controlling healthcare-associated infections (HAIs). Methods: This theoretical study was conducted in steps: 1) presentation of markers that frame the concept of vulnerability; 2) presentation of the characteristics of the health events to which the concept of vulnerability is intended to be applied; 3) identification of research gaps that could be potentially filled by using the concept of vulnerability; 4) identification of the potentialities of using the concept of vulnerability to deal with HAIs. Results: Proposal of a framework for analyzing HAIs from a vulnerability perspective, including the individual and collective dimensions. Conclusion: Using the concept of vulnerability to study and deal with HAIs favors a new approach to an old problem, unlike the dominant studies that highlight the individual aspects of the practices in healthcare services.

RESUMEN Objetivo: Discutir las potencialidades del uso del concepto de la vulnerabilidad para basar las acciones de prevención y control de las Infecciones Relacionadas con la Asistencia Sanitaria (IRAS). Método: Estudio de base teórica, realizado en etapas: 1) presentación de los marcadores que componen el concepto de la vulnerabilidad, 2) presentación de las características del agravio al que se pretende aplicar el concepto de la vulnerabilidad; 3) identificación de las lagunas de investigación que pueden ser potencialmente cumplimentadas por medio del uso del concepto; 4) identificación de las potencialidades del uso del concepto para el manejo de las IRAS. Resultados: Propuesta de un marco de análisis de las IRAS bajo la perspectiva de la vulnerabilidad, componiendo dimensiones individuales y colectivas. Conclusión: El uso del concepto de la vulnerabilidad en el estudio y manejo de las IRAS favorece una nueva mirada sobre un antiguo problema, diferente de los estudios hegemónicos que tratan de destacar los aspectos individuales relativos a las prácticas de atención en los servicios de salud.

RESUMO Objetivo: discutir as potencialidades do uso do conceito de vulnerabilidade para embasar as ações de prevenção e controle das Infecções Relacionadas à Assistência à Saúde (IRAS). Método: estudo de base teórica, realizado em etapas: 1) apresentação dos marcadores que compõem o conceito de vulnerabilidade; 2) apresentação das características do agravo ao qual se pretende aplicar o conceito de vulnerabilidade; 3) identificação de lacunas de pesquisa que podem ser potencialmente preenchidas por meio do uso do conceito; 4) identificação das potencialidades do uso do conceito para o manejo de IRAS. Resultados: proposta de um quadro de análise das IRAS na perspectiva da vulnerabilidade, compondo dimensões individual e coletiva. Conclusão: o uso do conceito de vulnerabilidade no estudo e manejo de IRAS favorece um novo olhar sobre um antigo problema, diferente dos estudos hegemônicos que tratam de destacar os aspectos individuais relativos às práticas de atenção nos serviços de saúde.

Analysis of Epidemiological Characteristics of Notifiable Diseases Reported in Children Aged 0⁻14 Years from 2008 to 2017 in Zhejiang Province, China.

This study aims to learn the characteristics of morbidity and mortality of notifiable diseases reported in children aged 0⁻14 years in Zhejiang Province in 2008⁻2017. We collated data from the China Information System for Disease Control and Prevention in Zhejiang province between 1 January 2008 and 31 December 2017 of children aged 0⁻14 years. From 2008 to 2017, a total of 32 types and 1,994,740 cases of notifiable diseases were reported in children aged 0⁻14 years, including 266 deaths in Zhejiang Province. The annual average morbidity was 2502.87/100,000, and the annual average mortality was 0.33/100,000. Male morbidity was 2886.98/100,000, and female morbidity was 2072.16/100,000, with the male morbidity rate higher than the female morbidity rate (χ² = 54,033.12, p < 0.01). No Class A infectious diseases were reported. The morbidity of Class B infectious diseases showed a downward trend, but that of Class C infectious diseases showed an upward trend. There were 72,041 cases in 22 kinds of Class B infectious disease and 138 death cases, with a morbidity rate of 90.39/100,000, and a mortality rate of 0.17/100,000. There were 1,922,699 cases in 10 kinds of Class C infectious disease and 128 death cases, with a morbidity rate of 2412.47/100,000, and a mortality rate of 0.16/100,000. The main high-prevalence diseases included hand-foot-and-mouth disease (1430.38/100,000), other infectious diarrheal diseases (721.40/100,000), mumps (168.83/100,000), and influenza (47.40/100,000). We should focus on the prevention and control of hand-foot and mouth disease, other infectious diarrheal diseases, mumps and influenza in children aged 0⁻14 years in Zhejiang Province. It is recommended to strengthen epidemic surveillance and undertake early prevention and control measures in order to reduce the younger children incidence rate of infectious diseases. Immunization planning vaccines can help achieve a significant preventive decline of infectious diseases.

[Temporal trend of hospital discharges due to infectious diseases in Chile, 2004-2014]. / Evolución temporal de los egresos hospitalarios por enfermedades infecciosas en Chile, 2004-2014.

BACKGROUND: Infectious diseases are important causes of burden of illness and mortality. AIM: To describe the temporal trends of hospital discharges due to infectious in Chile from 2004 to 2014. METHODS: Descriptive study. National Hospital Discharge Registry were used. We included all hospital discharges with main diagnosis of infectious diseases including parasitic diseases. Rates were calculated and standardized. The anual percentage change (APC) was estimated by Poisson regression. RESULTS: During a stated period of time in hospitalization of infectious diseases decreased (APC -4%). Women had fewer hospital discharged compared to men. Patients aged between 0 and 9 years and those who aged 80 years and older showed greater rates than other age groups. CONCLUSIONS: Chile has experimented a reduction in hospital discharges due to infectious diseases.