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1.
J. Health Biol. Sci. (Online) ; 10(1): 1-7, 01/jan./2022.
Artigo em Português | LILACS | ID: biblio-1361634

RESUMO

Objetivo: aplicar a modelagem logística da primeira onda da COVID-19, com índice nos países com 20 maiores Produto Interno Bruto (PIB). Métodos: foi utilizada a modelagem matemática de crescimento logístico, considerando os seguintes parâmetros: número cumulativo de casos (C), tamanho final da epidemia na onda única de um surto (K), taxa intrínseca de crescimento (y) e tempo de inflexão (τ). Resultados: o Brasil apresentou maior número de casos e mortalidade, e os Estados Unidos da América (EUA) maior número de casos absolutos. A Coreia do Sul evidenciou o menor ponto de inflexão de 15,3 dias, enquanto o maior foi da Indonésia, com 213,9 dias. Na análise entre o ponto de inflexão e casos acumulados (/100 mil habitantes), observou-se correlação positiva moderada significativa (r=0,629 e p=0,003); (r=0,532 e p=0,016). Conclusão: o reconhecimento do comportamento de uma epidemia por meio da modelagem matemática torna possível determinar a propagação de uma epidemia, visto que, com a possibilidade de captar a dinâmica de uma epidemia, torna-se possível prever a necessidade de medidas públicas antecipadas e, consequentemente, diminuição da mortalidade global.


Objective: to apply logistic modeling of the first wave of COVID-19 in countries with the 20 highest Gross Domestic Product (GDP). Methods: logistic growth mathematical modeling was used, considering the following parameters: cumulative number of cases (C), the final size of the epidemic in the single wave of an outbreak (K), intrinsic growth rate (y), and inflection time (τ). Results: Brazil showed the highest number of cases and mortality, and the United States of America (USA) had the highest number of absolute cases. South Korea showed the lowest inflection point of 15.3 days, while the highest infection point was Indonesia, with 213.9 days. In the analysis between the inflection point and cumulative cases (/100,000 population), a moderate significant positive correlation was observed (r=0.629 and p=0.003); (r=0.532 and p=0.016). Conclusion: the recognition of the behavior of an epidemic through mathematical modeling makes it possible to determine the spread of an epidemic, since, with the possibility of capturing the dynamics of an epidemic, it becomes possible to predict the need for anticipated public measures and, consequently, decrease in overall mortality.


Assuntos
COVID-19 , Modelos Logísticos , Produto Interno Bruto , Epidemias
2.
J Environ Public Health ; 2022: 8173768, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36046083

RESUMO

Purpose. This paper aimed to study how to analyze and study economic and social development under the new crown epidemic based on the neural network and described the BP neural network. Methodology. Economic forecasts are affected by multiple influencing factors, the relationships between these factors are complex, and it is a nonlinear system with a high degree of uncertainty. The use of traditional forecasting methods has many limitations, and neural network methods can overcome these limitations and achieve good nonlinear forecasting. Research Findings. Through the analysis and statistics of the impact of the SARS epidemic and the new crown epidemic on the economy, by 2021, the economic contribution of final consumption expenditure, total capital formation, and net exports will be 65.4%, 13.7%, and 20.9%, respectively, and the impact of the current new crown virus epidemic on the economy will be greater than that of the SARS epidemic in 2003. Research Implications. The model applied to economic forecasting based on the BP network can achieve good forecasting effect, and scientific and reasonable forecasting methods depend on the in-depth understanding of economic activities and dominance of familiarity with economic theory. Practical Implications. Through the analysis of the economy in the context of political will and the new crown epidemic, it will give more reference to more and more complex emergencies in the future.


Assuntos
Epidemias , Síndrome Respiratória Aguda Grave , Previsões , Humanos , Redes Neurais de Computação , Mudança Social
3.
Geospat Health ; 17(2)2022 Aug 29.
Artigo em Inglês | MEDLINE | ID: mdl-36047343

RESUMO

Equitable allocation of resources targeting the human immunodeficiency virus (HIV) at the local level requires focusing interventions in areas of the greatest need. Understanding the geographical variation in the HIV epidemic and uptake of selected HIV prevention and treatment programmes are necessary to identify such areas. Individual-level HIV data were obtained from a 2012 national HIV survey in South Africa. Spatial regression models on each outcome measure (HIV infection, sub-optimal condom use or non-anti-retroviral treatment (ART) adjusted for spatial random effects at the ward level were fitted using WINBUGS software. In addition, ward-level data was utilized to estimate condom use coverage and ART initiation rates which were obtained from routinely collected data in 2012. Ordinary Kriging was used to produce smoothed maps of HIV infection, condom use coverage and ART initiation rates. HIV infection was associated with individuals undertaking tertiary education [posterior odds ratio (POR): 19.53; 95% credible intervals (CrI): 3.22- 84.93]. Sub-optimal condom use increased with age (POR: 1.09; 95%CrI: 1.06-1.11) and was associated with being married (POR: 4.14; 95%CrI: 1.23-4.28). Non-ART use was associated with being married (POR: 6.79; 95%CrI: 1.43-22.43). There were clusters with high HIV infection, sub-optimal condom use, and non- ART use in Ekurhuleni, an urban and semi-urban district in Gauteng province, South Africa. Findings show the need for expanding condom programmes and/or strengthening other HIV prevention programmes such as pre-exposure prophylaxis and encouraging sustained engagement in HIV care and treatment in the identified areas with the greatest need in Ekurhuleni Metropolitan Municipality.


Assuntos
Epidemias , Infecções por HIV , Epidemias/prevenção & controle , Infecções por HIV/epidemiologia , Infecções por HIV/prevenção & controle , Humanos , Prevalência , África do Sul/epidemiologia , Análise Espacial
4.
Chaos ; 32(8): 083141, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36049903

RESUMO

Optimizing the allocation of protection resources to control the spreading process in networks is a central problem in public health and network security. In this paper, we propose a comprehensive adjustable resource allocation mechanism in which the over allocation of resources can be also numerically reflected and study the effects of this mechanism on traffic-driven epidemic spreading. We observe that an inappropriate resource allocation scheme can induce epidemic spreading, while an optimized heterogeneous resource allocation scheme can significantly suppress the outbreak of the epidemic. The phenomenon can be explained by the role of nodes induced by the heterogeneous network structure and traffic flow distribution. Theoretical analysis also gives an exact solution to the epidemic threshold and reveals the optimal allocation scheme. Compared to the uniform allocation scheme, the increase in traffic flow will aggravate the decline of the epidemic threshold for the heterogeneous resource allocation scheme. This indicates that the uneven resource allocation makes the network performance of suppressing epidemic degrade with the traffic load level. Finally, it is demonstrated that real-world network topology also confirms the results.


Assuntos
Epidemias , Modelos Teóricos , Surtos de Doenças/prevenção & controle , Epidemias/prevenção & controle , Alocação de Recursos
5.
Chaos ; 32(8): 083110, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36049933

RESUMO

There has been growing interest in exploring the dynamical interplay of epidemic spreading and awareness diffusion within the multiplex network framework. Recent studies have demonstrated that pairwise interactions are not enough to characterize social contagion processes, but the complex mechanisms of influence and reinforcement should be considered. Meanwhile, the physical social interaction of individuals is not static but time-varying. Therefore, we propose a novel sUAU-tSIS model to characterize the interplay of simplicial awareness contagion and epidemic spreading on time-varying multiplex networks, in which one layer with 2-simplicial complexes is considered the virtual information layer to address the complex contagion mechanisms in awareness diffusion and the other layer with time-varying and memory effects is treated as the physical contact layer to mimic the temporal interaction pattern among population. The microscopic Markov chain approach based theoretical analysis is developed, and the epidemic threshold is also derived. The experimental results show that our theoretical method is in good agreement with the Monte Carlo simulations. Specifically, we find that the synergistic reinforcement mechanism coming from the group interactions promotes the diffusion of awareness, leading to the suppression of the spreading of epidemics. Furthermore, our results illustrate that the contact capacity of individuals, activity heterogeneity, and memory strength also play important roles in the two dynamics; interestingly, a crossover phenomenon can be observed when investigating the effects of activity heterogeneity and memory strength.


Assuntos
Epidemias , Difusão , Humanos , Cadeias de Markov , Método de Monte Carlo
6.
Chaos ; 32(8): 083120, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36049935

RESUMO

For the last few years, annual honeybee colony losses have been center of key interest for many researchers throughout the world. The spread of the parasitic mite and its interaction with specific honeybee viruses carried by Varroa mites has been linked to the decline of honeybee colonies. In this investigation, we consider honeybee-virus and honeybee-infected mite-virus models. We perform sensitivity analysis locally and globally to see the effect of the parameters on the basic reproduction number for both models and to understand the disease dynamics in detail. We use the continuous-time Markov chain model to develop and analyze stochastic epidemic models corresponding to both deterministic models. By using the disease extinction process, we compare both deterministic and stochastic models. We have observed that the numerically approximated probability of disease extinction based on 30 000 sample paths agrees well with the calculated probability using multitype branching process approximation. In particular, it is observed that the disease extinction probability is higher when infected honeybees spread the disease instead of infected mites. We conduct a sensitivity analysis for the stochastic model also to examine how the system parameters affect the probability of disease extinction. We have also derived the equation for the expected time required to reach disease-free equilibrium for stochastic models. Finally, the effect of the parameters on the expected time is represented graphically.


Assuntos
Epidemias , Varroidae , Animais , Número Básico de Reprodução , Abelhas , Cadeias de Markov , Probabilidade
7.
Chaos ; 32(8): 083138, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36049937

RESUMO

Recent few years have witnessed a growing interest in exploring the dynamical interplay between awareness and epidemic transmission within the framework of multiplex networks. However, both local and global information have significant impacts on individual awareness and behavior, which have not been adequately characterized in the existing works. To this end, we propose a local and global information controlled spreading model to explore the dynamics of two spreading processes. In the upper layer, we construct a threshold model to describe the awareness diffusion process and introduce local and global awareness information as variables into an individual awareness ratio. In the lower layer, we adopt the classical susceptible-infected-susceptible model to represent the epidemic propagation process and introduce local and global epidemic information into individual precaution degree to reflect individual heterogeneity. Using the microscopic Markov chain approach, we theoretically derive the threshold for epidemic outbreaks. Our findings suggest that the local and global information can motivate individuals to increase self-protection awareness and take more precaution measures, thereby reducing disease infection probability and suppressing the spread of epidemics.


Assuntos
Epidemias , Difusão , Surtos de Doenças , Humanos , Cadeias de Markov
8.
Chaos ; 32(8): 083124, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36049956

RESUMO

The spread of disease on complex networks has attracted wide attention in physics, mathematics, and epidemiology. Recent works have demonstrated that individuals always exhibit different criteria for disease infection in a network that significantly influences the epidemic dynamics. In this paper, considering the heterogeneity of node susceptibility, we proposed an infection threshold model with neighbor resource support. The infection threshold of an individual is associated with the degree, and a parameter follows the normal distribution. Based on improved heterogeneous mean-field theory and extensive numerical simulations, we find that the mean and standard deviation of the infection threshold model can affect the phase transition and epidemic outbreak size. As the mean of the normal distribution parameter increases from a small value to a large value, the system shows a change from a continuous phase transition to a discontinuous phase transition, and the disease even stops spreading. The disease spreads from a discontinuous phase transition to continuous for the sizeable mean value as the standard deviation increases. Furthermore, the standard deviation also varies in the outbreak size.


Assuntos
Epidemias , Surtos de Doenças , Humanos , Distribuição Normal , Física , Rede Social
9.
PLoS Comput Biol ; 18(9): e1010251, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-36074763

RESUMO

Measles is one the best-documented and most-mechanistically-studied non-linear infectious disease dynamical systems. However, systematic investigation into the comparative performance of traditional mechanistic models and machine learning approaches in forecasting the transmission dynamics of this pathogen are still rare. Here, we compare one of the most widely used semi-mechanistic models for measles (TSIR) with a commonly used machine learning approach (LASSO), comparing performance and limits in predicting short to long term outbreak trajectories and seasonality for both regular and less regular measles outbreaks in England and Wales (E&W) and the United States. First, our results indicate that the proposed LASSO model can efficiently use data from multiple major cities and achieve similar short-to-medium term forecasting performance to semi-mechanistic models for E&W epidemics. Second, interestingly, the LASSO model also captures annual to biennial bifurcation of measles epidemics in E&W caused by susceptible response to the late 1940s baby boom. LASSO may also outperform TSIR for predicting less-regular dynamics such as those observed in major cities in US between 1932-45. Although both approaches capture short-term forecasts, accuracy suffers for both methods as we attempt longer-term predictions in highly irregular, post-vaccination outbreaks in E&W. Finally, we illustrate that the LASSO model can both qualitatively and quantitatively reconstruct mechanistic assumptions, notably susceptible dynamics, in the TSIR model. Our results characterize the limits of predictability of infectious disease dynamics for strongly immunizing pathogens with both mechanistic and machine learning models, and identify connections between these two approaches.


Assuntos
Doenças Transmissíveis , Epidemias , Sarampo , Doenças Transmissíveis/epidemiologia , Surtos de Doenças , Humanos , Aprendizado de Máquina , Sarampo/epidemiologia , Estados Unidos/epidemiologia
10.
Nat Commun ; 13(1): 5301, 2022 Sep 08.
Artigo em Inglês | MEDLINE | ID: mdl-36075905

RESUMO

Many collective phenomena such as epidemic spreading and cascading failures in socioeconomic systems on networks are caused by perturbations of the dynamics. How perturbations propagate through networks, impact and disrupt their functions may depend on the network, the type and location of the perturbation as well as the spreading dynamics. Previous work has analyzed the retardation effects of the nodes along the propagation paths, suggesting a few transient propagation "scaling" regimes as a function of the nodes' degree, but regardless of motifs such as triangles. Yet, empirical networks consist of motifs enabling the proper functioning of the system. Here, we show that basic motifs along the propagation path jointly determine the previously proposed scaling regimes of distance-limited propagation and degree-limited propagation, or even cease their existence. Our results suggest a radical departure from these scaling regimes and provide a deeper understanding of the interplay of self-dynamics, interaction dynamics, and topological properties.


Assuntos
Epidemias
11.
Washington, D.C.; OPS; 2022-09-07. (OPS/PHE/IMS/COVID-19/22-0012).
Não convencional em Espanhol | PAHO-IRIS | ID: phr-56394

RESUMO

Este informe recoge las actividades llevadas a cabo en el 2021 por la Organización Panamericana de la Salud (OPS) en respuesta a las necesidades emergentes en la Región de las Américas para detectar, rastrear, tratar y frenar la propagación de la COVID-19, así como para facilitar la compra y en despliegue de vacunas, en consonancia con los diez pilares del plan estratégico de preparación y respuesta frente a la COVID-19, publicado por el OMS en el 2021.


Assuntos
COVID-19 , Betacoronavirus , Pandemias , Epidemias , Surtos de Doenças , Organização Pan-Americana da Saúde , América
12.
Int J Public Health ; 67: 1605048, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36090841

RESUMO

Objectives: We quantified adherence to COVID-19 preventive measures and explored associated factors, after the first and during the second Swiss epidemic waves. Methods: With an observational cohort study in a representative sample of individuals aged 15 years and more, we analysed the association between self-reported adherence to COVID-19 preventive measures (respect of simple hygiene rules; respect of social distancing rules; wearing a mask) and socio-demographic factors, the existence of a chronic disease, and the existence of a previous confirmed COVID-19 episode. Results: Highest adherence was to simple hygiene rules, followed by social distancing rules and mask wearing, with a slight decrease for simple hygiene rules and a strong increase for mask wearing between visits. Men were significantly less likely to respect simple hygiene rules and wear a mask in public. Participants aged 65 years and more (versus 25-64 years) and those with at least one chronic disease (versus none) were two times more likely to respect social distancing rules and wear a mask. Conclusion: Adherence to social distancing rules and mask wearing was rather poor, especially compared to other countries.


Assuntos
COVID-19 , Epidemias , COVID-19/epidemiologia , COVID-19/prevenção & controle , Humanos , Higiene , Masculino , Autorrelato , Suíça/epidemiologia
14.
BMC Public Health ; 22(1): 1726, 2022 09 12.
Artigo em Inglês | MEDLINE | ID: mdl-36096785

RESUMO

BACKGROUND: Health information systems (HIS) in most developing countries face many challenges. In view of the recurrent weaknesses in preparedness and response during the management of epidemics, we have examined the organization and functioning of the health information system in Burkina Faso. METHODS: We conducted a cross-sectional study from January 1, 2020 to March 31, 2020 including a review of HIS documents, key informant interviews and direct observations. The study was conducted at the public primary health care (PHC) and community level of Bama and Soumagou, in the rural health districts of Dandé and Tenkodogo. Study participants included community-based health workers (CBHWs) and health workers in the PHC areas, community-based organization animators (CBOAs), CBO monitoring-evaluation officers and members of the District management team (DMT). RESULTS: While reporting forms used in all health facilities are standardized, they are not necessarily well understood at community level and at the health centers. Reports prepared by CBHWs are often delayed by the head nurse at the primary health care service. Case definitions of epidemic diseases are not always well understood by community-based health workers and front-line health workers. CONCLUSION: The health information system in Burkina Faso can be improved using simple strategies. There is a need to hold regular training/refresher sessions for agents involved in surveillance and to ensure the development of simplified case definitions for emerging diseases and/or diseases of public health interest for community use. Furthermore, existing epidemic management committees need to be revitalized.


Assuntos
Epidemias , Burkina Faso/epidemiologia , Agentes Comunitários de Saúde , Estudos Transversais , Epidemias/prevenção & controle , Humanos , Sistemas de Informação
15.
Biomed Res Int ; 2022: 7728596, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36110121

RESUMO

The sudden arrival of the new crown epidemic has had a significant and long-lasting impact on the division's economic environment as well as the production and operation activities of businesses. As far as the financial management is concerned, opportunities and difficulties are faced by enterprises of all types. With reference to the available research data, enterprises have an important contribution to GDP and jobs, but they still face a series of difficulties and challenges in their development in the context of the normalization of the epidemic. By analyzing the impact of the new crown pneumonia epidemic on the financial management work of enterprises, this paper proposes an artificial neural network-based enterprise financial forecasting and early warning method to provide an effective method for enterprise financial management. For the time-series characteristics of enterprise finances, a prediction model based on long- and short-term memory networks is developed which acknowledges the necessity of combining the temporal dimension with the spatial dimension for forecasting. This model incorporates time qualities into the data to the existing forecasting model. It also considers both working and nonworking day data and thoroughly considers the factors influencing corporate finance. Then, using BP neural network for financial risk prediction, nonfinancial index factors should be added to the financial early warning model thus eliminating the limitations of the financial early warning model. At the same time, the accuracy of the prediction can be improved which is more suitable for enterprises to apply in practice. The experimental results demonstrate that the financial prediction model built by multilayer feed forward neural networks and recurrent neural networks based on error back propagation training is inferior to the prediction model built by long- and short-term memory network. Regardless of the degree of fitting or prediction accuracy, the BP neural network model outperforms the conventional model for enterprise financial warning. Under the normalization of the pandemic, the combined use of both can offer an efficient technique for enterprise management.


Assuntos
Epidemias , Administração Financeira , Comércio , Previsões , Redes Neurais de Computação
16.
Phys Rev Lett ; 129(10): 108301, 2022 Sep 02.
Artigo em Inglês | MEDLINE | ID: mdl-36112459

RESUMO

In the presence of long-range dispersal, epidemics spread in spatially disconnected regions known as clusters. Here, we characterize exactly their statistical properties in a solvable model, in both the supercritical (outbreak) and critical regimes. We identify two diverging length scales, corresponding to the bulk and the outskirt of the epidemic. We reveal a nontrivial critical exponent that governs the cluster number and the distribution of their sizes and of the distances between them. We also discuss applications to depinning avalanches with long-range elasticity.


Assuntos
Epidemias , Surtos de Doenças
17.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(9): 1364-1369, 2022 Sep 10.
Artigo em Chinês | MEDLINE | ID: mdl-36117340

RESUMO

Objective: To evaluate the transmissibility of 2019-nCoV Omicron variant under the current prevention and control strategy in Beijing, and provide evidence for the prevention and control of COVID-19. Methods: The information of 78 Omicron variant infection cases involved in clear transmission chains in Beijing during 7-25 March, 2022 were collected, the incubation period and serial interval of the disease were fitted by using Gamma and Weibull distribution. Markov Chain Monte Carlo approach was used to estimate the time-varying reproduction number (Rt). Results: The median of the incubation period (Q1, Q3) of Omicron variant infection was 4.0 (3.0, 6.0) days, and the serial interval was 3.0 (2.0, 5.0) days. The median of the serial interval (Q1, Q3) was 2.0 (1.0, 4.0) days in unvaccinated cases and 4.0 (2.0, 6.0) days in vaccinated cases (Z=-2.12, P=0.034), and 2.0 (1.5, 3.0) days in children and 4.0 (2.0, 6.0) days in adults, respectively (Z=-2.02,P=0.044), the differences were significant. The mean of Rt was estimated to be 4.98 (95%CI: 2.22-9.04) for Omicron variant in this epidemic. Conclusion: Omicron variant has stronger transmissibility compared with Delta variant. It is necessary to strengthen the routine prevention and control COVID-19, promote the vaccination and pay close attention to susceptible population, such as children.


Assuntos
COVID-19 , Epidemias , Adulto , Pequim , Criança , Humanos , SARS-CoV-2
18.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(9): 1376-1380, 2022 Sep 10.
Artigo em Chinês | MEDLINE | ID: mdl-36117342

RESUMO

Objective: To understand the epidemiological characteristics of a local clustered epidemic caused by 2019-nCoV Delta variant in Ningbo and provide reference for the improvement of COVID-19 epidemic prevention and control. Methods: Case finding was conducted based on case definitions, and field epidemiological investigation of COVID-19 cases was carried out. In which Nasal and oropharyngeal swabs of the cases were collected for pathogen testing, and the results were analyzed with descriptive epidemiological methods. Results: A total of 74 COVID-19 cases were reported in this epidemic, and the cases were mainly mild ones, accounting for 87.84% (65/74), and there were no severe or critical cases. The epidemic curve showed a human-to-human transmission mode, indicating that a transmission for at least six generations had occurred. The age of the COVID-19 patients ranged from 2 years to 80 years, and 27.03% (20/74) of the cases were older than 60 years. The cases were mainly workers (55.41%, 41/74) and housework/the unemployed (27.03%, 20/74). The COVID-19 epidemic was limited, and no further spread to other areas occurred. The transmission chain among the cases was clear, and the gene sequencing results confirmed that the current epidemic was caused by 2019-nCoV Delta variant, which was highly homologous to the strains from other province. Conclusion: The local COVID-19 epidemic in Ningbo was caused by imported cases of COVID-19 from other province, and local community spread occurred through daily contacts between cases and contacts.


Assuntos
COVID-19 , Epidemias , COVID-19/epidemiologia , Pré-Escolar , Coleta de Dados , Humanos , SARS-CoV-2
19.
Epidemics ; 40: 100624, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-36075125

RESUMO

The effective reproduction number Rt measures an infectious disease's transmissibility as the number of secondary infections in one reproduction time in a population having both susceptible and non-susceptible hosts. Current approaches do not quantify the uncertainty correctly in estimating Rt, as expected by the observed variability in contagion patterns. We elaborate on the Bayesian estimation of Rt by improving on the Poisson sampling model of Cori et al. (2013). By adding an autoregressive latent process, we build a Dynamic Linear Model on the log of observed Rts, resulting in a filtering type Bayesian inference. We use a conjugate analysis, and all calculations are explicit. Results show an improved uncertainty quantification on the estimation of Rt's, with a reliable method that could safely be used by non-experts and within other forecasting systems. We illustrate our approach with recent data from the current COVID19 epidemic in Mexico.


Assuntos
COVID-19 , Epidemias , Número Básico de Reprodução , Teorema de Bayes , COVID-19/epidemiologia , Humanos , Incerteza
20.
Artigo em Inglês | MEDLINE | ID: mdl-36078389

RESUMO

Viral epidemics have surfaced frequently over the past quarter-century, with multiple manifestations of psychological distress. This study sought to establish the psychometric properties of the Malay version of SAVE-9 among healthcare workers. A total of 203 healthcare workers across Malaysia participated in the research. The Malay version of SAVE-9 was translated and back-translated using the WHO instrument validation protocols. Classical Test Theory (CTT) and Rasch analysis were used to assess the validity and reliability of the Malay version of the SAVE-9 scale. The analysis was run using IBM SPSS 26.0 and JAPS. Cronbach's alpha was used to measure the internal consistency of SAVE-9, which was found to be satisfactory (Cronbach's α = 0.795). The correlations between the SAVE-9 and other measured scales (GAD-7 and PHQ-9) were statistically significant. A score of 22 was defined as a cut-off point with good sensitivity (0.578) and specificity (0.165). The Malay version of the Stress and Anxiety to Viral Epidemics-9 (SAVE-9) scale is valid and reliable after testing among healthcare workers. It is psychometrically suitable to be used in assessing healthcare workers' stress and anxiety specific to viral epidemics.


Assuntos
Epidemias , Pessoal de Saúde , Ansiedade/diagnóstico , Ansiedade/epidemiologia , Humanos , Malásia/epidemiologia , Psicometria , Reprodutibilidade dos Testes , Inquéritos e Questionários
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