ABSTRACT
The COVID-19 pandemic has brought significant changes to people's lives, causing high levels of anxiety, distress, and fear. In response, the "Fear of COVID-19” scale (FCV-19S) was developed in 2020 to measure the severity of fears related to COVID-19. This study assessed the psychometric properties of the Czech version of the FCV-19S, which was administered to a representative sample of 1372 participants, and confirmatory factor analysis (CFA) was conducted. The sample reflects the structure of a theoretical population aged 15–74 years and is composed of 50% males and 50% females. Moreover, univariate statistics were calculated, internal consistency was tested, and uni-dimensionality based on principal component analysis was performed. In addition, univariate statistical analyses were performed, internal consistency was tested, and univariate consistency was also assessed using principal component analysis. CFA indicated that the scale demonstrated very good standard indices;FCV-19S showed a high level of internal consistency, and it adequately differentiated the levels of fear among diverse subpopulations. The findings suggest that the Czech version of the FCV-19S is a valid and reliable instrument that has robust psychometric properties and can, therefore, be recommended for use in research. The availability of the Czech version of the FCV-19S will contribute to assessments of the impact of the COVID-19 pandemic on the Czech population, providing valuable information in guiding interventions aimed at reducing the negative psychological impacts of the pandemic.
ABSTRACT
We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information involving short-duration videos with COVID19-focused information from both the real world and machine generation. We propose, TwtrDetective, an effective model incorporating cross-media consistency checking to detect token-level malicious tampering in different modalities, and generate explanations. Due to the scarcity of training data, we also develop an efficient and scalable approach to automatically generate misleading video posts by event manipulation or adversarial matching. We investigate several state-of-the-art models and demonstrate the superiority of TwtrDetective. © 2023 Association for Computational Linguistics.
ABSTRACT
The first major outbreak of the severely complicated hand, foot and mouth disease (HFMD), primarily caused by enterovirus 71, was reported in Taiwan in 1998. HFMD surveillance is needed to assess the spread of HFMD. The parameters we use in mathematical models are usually classical mathematical parameters, called crisp parameters, which are taken for granted. But any biological or physical phenomenon is best explained by uncertainty. To represent a realistic situation in any mathematical model, fuzzy parameters can be very useful. Many articles have been published on how to control and prevent HFMD from the perspective of public health and statistical modeling. However, few works use fuzzy theory in building models to simulate HFMD dynamics. In this context, we examined an HFMD model with fuzzy parameters. A Non Standard Finite Difference (NSFD) scheme is developed to solve the model. The developed technique retains essential properties such as positivity and dynamic consistency. Numerical simulations are presented to support the analytical results. The convergence and consistency of the proposed method are also discussed. The proposed method converges unconditionally while the many classical methods in the literature do not possess this property. In this regard, our proposed method can be considered as a reliable tool for studying the dynamics of HFMD.
ABSTRACT
People generally intend to act more on beliefs and attitudes about which they have greater certainty. However, we introduce a boundary condition to the positive association between certainty and behavioral intentions-behavioral extremity. Uncertainty about a threatening issue like COVID-19 can be disconcerting, and we propose that uncertain people cope in part through increased openness to extreme actions like accepting risky medical treatments and aggression toward those defying mitigation policies. Testing this, we compiled and analyzed all the data on certainty about COVID-19 mitigation policies and willingness to engage in mitigation-related behaviors that our lab collected during the pandemic (6 samples, 20 behaviors, Ns up to 1496). External ratings of the behaviors' extremity moderated certainty-willingness associations: whereas greater certainty was associated with increased willingness to engage in moderate behaviors (the typical result), lower certainty was associated with increased willingness to engage in extreme behaviors, especially among those worried about becoming ill.
ABSTRACT
The COVID-19 pandemic has altered learning and teaching approaches in higher education. Research concerning COVID-19 revealed inconsistent results on student engagement, which is a robust predictor of academic performance in higher education. This exploratory study examines the relationship between grit and student engagement in the pandemic through the mediating role of negotiable fate. Although previous research demonstrated that grit could positively predict student engagement, there have been inconsistent findings between the two sub-factors of grit: consistency of interest (grit-CI) and perseverance of effort (grit-PE). Besides, there is a lack of theoretical explanation of the mechanism between grit and engagement. The adaptation of negotiable fate seeks to provide one of the pathways of how grit would be associated with student engagement. To examine these hypotheses, the present study recruited 339 undergraduate students from two universities in Hong Kong to participate in an online survey. The results showed that grit, grit-PE, and negotiable fate positively correlate with student engagement, but the path of grit-CI did not reveal any significant results. After accounting for the mediating effect of negotiable fate, grit-PE still positively correlates with student engagement, suggesting a partial mediation model. This study provides empirical evidence that grit positively predicts student engagement with the mediation of negotiable fate. However, only grit-PE was positively associated with other variables, while grit-CI did not reveal any significant predictions. The present study (1) extends the understanding of the mechanism between grit and student engagement and (2) explores the mediating role of negotiable fate in this relationship in the higher education context. Theoretical and practical implications of this mediation model among grit, negotiable fate, and student engagement were discussed.
ABSTRACT
PurposeThis paper aims to examine how message consistency pursued through integrated marketing communications (IMC) can build a strong destination brand equity in a very dynamic environment and whether this process is affected by the perceived risk of COVID-19.Design/methodology/approachData collection was conducted among 333 international tourists visiting Croatia, a destination that has experienced a remarkable boom in the summer/autumn season of 2021, regardless of the pandemic. Partial least squares–structural equation modelling (PLS-SEM) was used for data analysis.FindingsResults show that IMC consistency has a significant impact on the four destination brand equity dimensions, i.e. awareness, image, perceived quality and loyalty. This influence is found to be the highest on destination brand awareness and the lowest on destination brand loyalty. Perceived risk of COVID-19 moderates the impact of message consistency on brand image and perceived quality.Originality/valueTo the best of the authors' knowledge, this is the first study that examines the role of IMC consistency in a tourism context during turbulent times. The impact of IMC consistency is analyzed on different components of destination brand equity, which addresses the most recent research call from tourism literature. The moderating effects of perceived risk are considered, thus providing additional implications in a context of high uncertainty. Finally, IMC consistency is assessed from the consumer rather than managerial viewpoints, thus adopting the necessary outside-in approach embedded in the IMC idea.
ABSTRACT
to analyse the reliability of 6 age intervals of Spanish web-based Ages and Stages Questionnaires Third Edition (WB-ASQ-3) and parents' acceptability, in a clinical practice context, during COVID-19 pandemic and lockdown in Chile. Cross-sectional study with a longitudinal component. Internal consistency was analysed by Cronbach's alpha and Pearson product-moment correlation, Pearson's correlations between intervals questionnaires were analysed. Acceptability was determined using a parental satisfaction survey. 1061 children completed 2318 validated questionnaires. Scores were compared with normative sample, except for Gross motor at 8 and 12 months, and Communication at 12, 18 and 24 months, without differences to the previous Chileans sample. In domain analysis, Cronbach's alpha ranged from 0.36 to 0.80 and reached 0.74 to 0.81 for the overall test. Strong positive correlation between the domain and overall score was obtained. Correlation between most questionnaires at different ages was positive and significant. Parental surveys show high satisfaction;parents were thankful for being able to monitor children's development. WB-ASQ-3 is a reliable and feasible screening system, particularly when the test is taken as a whole, rather than by domains. It is remarkably high acceptability among parents, especially in complex times such as the lockdown and the COVID-19 pandemic. (PsycInfo Database Record (c) 2023 APA, all rights reserved) AD -, Paula Schonhaut, Luisa: lschonhaut@alemana.cl Schonhaut, Luisa: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile Armijo, Ivan: Faculty of Psychology, Universidad del Desarrollo, Santiago, Chile Rojas B., Paula: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile Cabrera, Leonardo: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile Boisier, Roberto: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile
ABSTRACT
Local linear kernel fitting is a popular nonparametric technique for modelling nonlinear time series data. Investigations into it, although extensively made for continuousvalued case, are still rare for the time series that are discrete-valued. In this paper, we propose and develop the uniform consistency of local linear maximum likelihood (LLML) fitting for time series regression allowing response to be discrete-valued under β-mixing dependence condition. Specifically, the uniform consistency of LLML estimators is established under time series conditional exponential family distributions with aid of a beta-mixing empirical process through local estimating equations. The rate of convergence is also provided under mild conditions. Performances of the proposed method are demonstrated by a Monte-Carlo simulation study and an application to COVID-19 data. There is a huge potential for the developed theory contributing to further development of discrete-valued response semiparametric time series models © 2022 American Psychological Association
ABSTRACT
Objective: Overuse of video conferencing during the COVID-19 pandemic may contribute to the new mental health problem called 'Zoom fatigue'. This study examined convergent validity, factor validity, internal consistency and test-retest reliability of the Thai version of the Zoom Exhaustion & Fatigue Scale (ZEF-T). Method(s): The participants were 386 medical students from Thammasat University. Convergent validity was based on comparing ZEF-T scores with the Maslach Burnout Inventory-Student Survey (MBI-SS). Confirmatory factor analysis (CFA) was done to examine factor validity. Test-retest reliability was evaluated in 25 participants using intraclass correlation coefficient (ICC) and Bland-Altman plot. Result(s): The ZEF-T demonstrated a positive correlation with emotional exhaustion of MBI-SS. (r = 0.42, p < 0.001). The CFA showed a satisfactory fit and supported the five-factor model with acceptable fit statistics. All items had factor loading of more than 0.7. Internal consistency and test-retest reliability of the total ZEF-T scores was excellent with the alpha of 0.93 and ICC 0.94 (p < 0.001), respectively. Conclusion(s): The ZEF-T was shown to be a valid and reliable assessment for measuring zoom fatigue in Thai university students.Copyright © 2023 IACFS/ME.
ABSTRACT
Introduction: Psychological requirements are extremely important in the formation of a person's personality and conduct. During the COVID-19 epidemic in Jouf, Kingdom of Saudi Arabia, the goal of the current study was to determine the psychological and medical requirements of Saudi children. Method(s): The research received responses from 205 mothers in total, 90 of whom were the mothers of male children and 105 of whom were the mothers of female children. The investigation was carried out during the global COVID-19 epidemic that also afflicted the Kingdom of Saudi Arabia. The study made use of a 42-item measure measuring psychosocial and health needs across four categories. Result(s): Whether the study's findings were based on the children's overall score or their academic, psychological, or health requirements, it was discovered that these needs were modest. From the perspective of their moms, neither gender nor class significantly affected the children's health or psychological requirements. Conclusion(s): This study suggests giving the kids family programs to take advantage of and manage their downtime and boost their levels of outdoor exercise.Copyright © 2022, Universidade de Sao Paulo. Museu de Zoologia. All rights reserved.
ABSTRACT
The paper presents the results of the study on development and standardization of the "COVID-19 Vaccine Attitude Scale" (COVID- 19 VAS) questionnaire. The study sample includes N = 1965 undergraduate, specialist and master students, of which N = 1592 (81%) are women and N = 373 (19%) are men aged 16 to 60 years, mean age M = 24.7, SD = 8.4, Me = 21.0. Study was conducted at Moscow State University of Psychology & Education (MSUPE). The questionnaire structure includes 5 scales identified by the method of exploratory factor analysis: Scale 1 "The benefits of vaccination against COVID-19 for an individual and society", Scale 2 "Fear of incidental effects of vaccination against COVID-19 and distrust of information about the vaccination safety", Scale 3 "Denial of the danger of coronavirus and hope for natural immunity", Scale 4 "Confidence in the serious negative consequences of the coronavirus vaccine" and Scale 5 "Disbelief in the proven international level effectiveness of Russian vaccines". The construct validity of the questionnaire was statistically proved. Confirmatory factor analysis verified satisfactory goodness-of-fit between the empirical data and the questionnaire structure. The scales are moderately intercorrelated, and the directions of the correlations correspond to the expected ones. The high internal reliability of all scales is statistically confirmed with the Cronbach's alpha coefficient. Satisfactory convergent validity of the corresponding scales of the "COVID-19 Vaccine Attitude Scale (COVID-19 VAS)" with natural science literacy, intelligence and fear of COVID-19 disease is also confirmed. All correlations are weak, but theoretically expected and explainable. The differential validity is statistically proved. Stanines are calculated. The COVID-19 VAS can be recommended for preparation, realization and evaluation of the effectiveness of educational activities on vaccine prevention against COVID-19 among university students.
ABSTRACT
After the COVID-19 epidemic, which emerged in December 2019 and is still in effect, almost all countries had to implement strict measures to control the spread of the virus. The ability of experts to reduce the spread primarily depends on the determination of the criteria affecting the spread. The fact many criteria that affect the rate of spread of COVID-19 and the most effective criteria cannot be determined, causes the spread, and therefore the number of positive cases and deaths to increase. Therefore, in the study;firstly, the weights of the criteria affecting the rate of spread were determined by using the full consistency method (FUCOM), which is a multi-criteria decision-making method, and the criteria that most affected the spread were determined by Pareto analysis, based on the criteria weights obtained. Then, based on the criteria obtained, the number of confirmed cases was predicted using the random forest method. The performance criteria values of the random forest were compared with different artificial intelligence methods such as artificial neural network, decision tree and support vector machine. Random forest gave the best results with error values (RMSE (3247), MAE (1714) and RRSE (0.374)). In addition, the random forest achieved a high prediction success of 92.9%.
ABSTRACT
A novel method for assessing the effectiveness of enrichment evaluations PROMETHEE combining pentagonal intuitionistic fuzzy numbers (PIFNs) and preference rank-ing organization is presented in the present paper. PIFN suggests a new technique for multi -criteria group decision making (MCGDM) in which two characteristic values of membership and non-membership functions are involved. The key practicality of incorporating PIFN in decision -making is its effective capability of managing the vagueness and uncertainties of linguistic terms used during discussions. The designed algorithm is then applied to get an appropriate, cost-effective, and publicly accepted awareness campaign to be used to forewarn populaces about any virulent disease, which has not been studied before. Importantly, it is the only way to protect any huge population of a country from any fatal disease, i.e. to be timely aware of the disease's transmissibility, severity, and precautionary measures through any effectively ap-proachable source. Here, we consider alternative sources of campaigns, such as commercial advertisement on television, on social media, on bills /other government circulars, billboards, and door-to-door volunteering for guidance. These alternative campaigns are based on five generalized criteria, where the weight of each criterion is evaluated via the fuzzy analytical hier-archy process (F-AHP). After using the F-AHP for complex decisions based on acceptance and effectiveness, the F-PROMETHEE algorithm is applied to achieve the closest ideal alternative.
ABSTRACT
BACKGROUND: Drug use in pregnancy and lactation is challenging. It becomes more challenging in pregnant and lactating women with certain critical clinical conditions such as COVID-19, because of inconsistent drug safety data. Therefore, we aimed to evaluate the various drug information resources for the scope, completeness, and consistency of the information related to COVID-19 medications in pregnancy and lactation. METHODS: Data related to COVID-19 medications from various drug information resources such as text references, subscription databases, and free online tools were used for the comparison. The congregated data were analyzed for scope, completeness, and consistency. RESULTS: Scope scores were highest for Portable Electronic Physician Information Database (PEPID), Up-to-date, and drugs.com compared to other resources. The overall completeness scores were higher for Micromedex and drugs.com (p < 0.05 compared to all other resources). The inter-reliability analysis for overall components by Fleiss kappa among all the resources was found to be 'slight' (k < 0.20, p < 0.0001). The information related to the older drugs in most of the resources, provides in-depth details on various components such as pregnancy safety, clinical data related to lactation, the effect of the drug distribution into breast milk, reproductive potential/infertility risk and the pregnancy category/recommendations. However, the information related to these components for newer drugs was superficial and incomplete, with insufficient data and inconclusive evidence, which is a statistically significant observation. The strength of observer agreement for the various COVID-19 medications ranged from poor to fair and moderate for the various recommendation categories studied. CONCLUSION: This study reports discrepancies in the information related to pregnancy, lactation, drug level, reproductive risk, and pregnancy recommendations among the resources directing to refer to more than one resource for information about the safe and quality use of medications in this special population.The present study also emphasizes the need for development of comprehensive, evidence-based, and precise information guide that can promote safe and effective drug use in this special population.
Subject(s)
COVID-19 , Lactation , Pregnancy , Humans , Female , Reproducibility of Results , Breast Feeding , Milk, HumanABSTRACT
There were two broad goals pertaining to attitude strength that were explored in this dissertation. First, research and theory have suggested that many of the traditionally examined subjective attitude properties are distinct constructs. Yet, many attitude properties conceptually overlap with one another. In order to better understand the landscape of attitude properties, I examined the factor analytic structure of a comprehensive set of attitude strength antecedents. Participants reported attitudes toward the topic of GMOs (Study 1) or toward a topic they identified as important to them (Studies 2-6) and various subjective properties of their attitudes. In Studies 1-3, exploratory factor analyses revealed that the various strength antecedents reflected a two-factor structure that differentiated properties relating to an attitude's embeddedness in one's core values and identity from properties reflecting a consistency or entrenchment in an attitude. In Studies 4-6, confirmatory factor analyses determined that, in addition to the over-arching two-factor structure, including 'minor factors' reflecting each attitude property further improved model fit (see Appendix F for a summary of the indices of fit for each study). I therefore propose a hybrid model, wherein the various attitude properties form an over-arching two-factor structure in which each major factor includes additional 'minor' constructs. Across studies, moral basis loaded highly on an embeddedness factor along with values basis (all studies), importance (Studies 4-6), affective and cognitive meta-bases (Studies 5-6), self-definition, and subjective attitude strength (Study 6). The consistency factor was composed of subjective ambivalence (all studies), correctness, clarity (Studies 1-4), attitude-relevant knowledge (Studies 4-6), and certainty (Studies 5-6).The second goal of this dissertation was to understand, given the factor structure of the subjective attitude properties, which behavioral outcomes are better predicted by embeddedness versus consistency. I took an exploratory approach examining a variety of different behavioral domains, and found that attitude embeddedness (vs. consistency) predicted an increased attempt to shape one's environment by selectively exposing oneself to those who agree with one's position (Studies 4 and 7) and selectively exposing oneself to more biased news sources (Study 8). Attitude consistency (vs. embeddedness), on the other hand, better predicted the strength of relation between self-isolation attitudes and behaviors in the context of COVID-19 (Studies 9-10). I also examined the ability of each attitude feature to predict advocacy intentions (Studies 3-6). Embeddedness and consistency (as latent variables) each independently predicted advocacy intentions. It seemed that one way to understand these patterns would be that embeddedness plays a larger role when attitudes might serve value-expressive or social identify functions, whereas consistency might play a larger role when attitudes serve primarily utilitarian functions. Study 11 put that possibility to a confirmatory test, finding that in different contexts different attitude properties better predicted advocacy outcomes (Study 11). In particular, attitude embeddedness increased advocacy intentions for attitudes that served a social identity function, whereas attitude consistency increased advocacy intentions for attitudes that served a utilitarian function. Taken together, this work helps us to understand how attitude properties relate and the contexts under which different classes of attitude properties predict different outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Background: It is important to understand HCWs' (healthcare workers) psychological responses to the Coronavirus disease 2019 (COVID-19) pandemic as theare exposed to the virus on a daily basis. This study helps identify some of the challenges they face. Aim: The overall aim of the study was to investigate psychological responses to COVID-19, including vaccinations and stressors, amongst healthcarHCWs in South Africa during the pandemic. Setting: HCWs who worked in private and state hospitals and private practice in Tshwane, South Africa. Methods: A quantitative approach using a cross-sectional survey design was used. Several standardised and validated questionnaires were used in the surveincluding the Coronavirus-19 Fear Scale, the COVID-19-related stigma scale and the COVID-19 stress scale. A purposive sample (N=103) waanalysed using descriptive statistics and chi-square. Results: There were 103 completed questionnaires. Many (76% and 54%) either knew someone close who contracted COVID or died from COVID-19respectively. Most (58%) were in favour of being vaccinated. A significant proportion (42%;p= 0.009) of the HCWs felt uncomfortable whethinking about COVID. Physical reactions such as sweating, or a pounding heart were reported by 17% of the HCWs. A majority of the HCWdisagreed with any form of stigmatization of COVID-19. Most of the HCWs expressed a need for mental health support during the COVID-1pandemic. About three-quarters of the respondents expressed a need to talk to someone about their worries about COVID-19. Conclusion: Most of the respondents either knew someone who either contracted COVID-19 or died because of it. Many experienced anxiety symptoms whethinking about COVID-19. Many HCWs reported anxiety and stress symptoms such as insomnia, palpitations, sweating and difficultconcentrating. An overwhelming majority of the HCWs stated that people should not be discriminated against or stigmatized in any way because oCOVID-19. The majority of the HCWs expressed a need for psychological support during the COVID-19 pandemic. About 20% of the HCWwere against being vaccinated. This is worrisome as they are at high risk. The HCWs clearly expressed a need for more attention and supportowards their mental health during the COVID-19 pandemic. © 2023 Nel et al.
ABSTRACT
Health care providers (HCPs) worldwide have been a common target for stigmatization during widespread infections, such as COVID-19. The purpose of this study is to highlight the prevalence of stigmatization during the COVID-19 pandemic among HCPs in Turkey using the Stigma COVID-19 HCPs instrument (S19-HCPs). Descriptive design. The S19-HCPs is a self-administered, web-based survey (24 items) developed previously. The internal consistency of the S19-HCPs' Turkish version was satisfactory (alpha = 0.79). Test-retest correlations were all statistically significant for the Turkish version of the instrument (ICC = 0.90, p0.01). Most study participants were 20-30 years old (77%);among the respondents, 66% had worked in a COVID-19-designated facility. Stigma against HCPs is highly prevalent in Turkey. The outcomes of this study revealed substantial levels of HCP stigmatization in Turkey irrespective of their motivation to work with COVID-19 patients. Education, media, and awareness campaigns might play a critical role in addressing global stigmatization issues.Copyright © 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
ABSTRACT
The paper presents the results of the study on development and standardization of the "COVID-19 Vaccine Attitude Scale” (COVID-19 VAS) questionnaire. The study sample includes N = 1965 undergraduate, specialist and master students, of which N = 1592 (81%) are women and N = 373 (19%) are men aged 16 to 60 years, mean age M = 24.7, SD = 8.4, Me = 21.0. Study was conducted at Moscow State University of Psychology & Education (MSUPE). The questionnaire structure includes 5 scales identified by the method of exploratory factor analysis: Scale 1 "The benefits of vaccination against COVID-19 for an individual and society", Scale 2 "Fear of incidental effects of vaccination against COVID-19 and distrust of information about the vaccination safety", Scale 3 "Denial of the danger of coronavirus and hope for natural immunity”, Scale 4 "Confidence in the serious negative consequences of the coronavirus vaccine” and Scale 5 "Disbelief in the proven international level effectiveness of Russian vaccines”. The construct validity of the questionnaire was statistically proved. Confirmatory factor analysis verified satisfactory goodness-of-fit between the empirical data and the questionnaire structure. The scales are moderately intercorrelated, and the directions of the correlations correspond to the expected ones. The high internal reliability of all scales is statistically confirmed with the Cronbach's alpha coefficient. Satisfactory convergent validity of the corresponding scales of the "COVID-19 Vaccine Attitude Scale (COVID-19 VAS)” with natural science literacy, intelligence and fear of COVID-19 disease is also confirmed. All correlations are weak, but theoretically expected and explainable. The differential validity is statistically proved. Stanines are calculated. The COVID-19 VAS can be recommended for preparation, realization and evaluation of the effectiveness of educational activities on vaccine prevention against COVID-19 among university students. © 2022 National Research University Higher School of Economics. All rights reserved.
ABSTRACT
Multiplicative probabilistic linguistic preference relation (MPLPR) has been widely used by decision-makers (DMs) to tackle group decision-making (GDM) problems. However, due to the complexity of the decision-making circumstance and individual subjectivity of DMs, they often provide inconsistent MPLPRs which often lead to unreasonable decision results. To solve this problem, this paper investigates a novel approach to GDM with MPLPRs based on consistency improvement and upgraded multiplicative data envelopment analysis (DEA) cross-efficiency. First, the concept of sequential consistency of MPLPR is defined. Then, a consistency improvement algorithm is proposed, which can convert any unacceptable consistent MPLPR into an acceptable one. Furthermore, we use geometric averages to transform MPLPR into multiplicative preference relation (MPR). Meanwhile, considering the conservative psychology of DMs, an upgraded multiplicative DEA cross-efficiency model based on the pessimistic criterion is constructed, which can derive the priority vector of MPLPR. Therefore, we can obtain the rational ranking results for all alternatives. Finally, a case analysis of emergency logistics under COVID-19 is provided to illustrate the validity and applicability of the proposed approach. [ FROM AUTHOR] Copyright of Journal of Intelligent & Fuzzy Systems is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Parents of an infant may be particularly vulnerable to peritraumatic distress (e.g., psychological distress experienced during or immediately following a traumatic event) associated with events such as the COVID-19 pandemic. Since peritraumatic distress could affect both their psychological well-being and their couple relationship functioning, it is essential to measure and document these symptoms within parents. The COVID-19 Peritraumatic Distress Index (CPDI;Qiu et al., 2020) was the first validated instrument to measure COVID-19 peritraumatic distress, but it has not yet been validated in French. This study aimed to assess the psychometric properties of the French-Canadian version of the CPDI (F-CPDI) in a sample of 492 parents (58% of mothers) of an infant in Quebec Province (Canada). The factor structure, internal consistency, and convergent validity of the instrument were tested. Results indicate that the F-CPDI has good internal consistency and supports the four-factor structure proposed by the authors of the original instrument. Results of correlation analyses indicated that peritraumatic distress was related to increased psychological distress, postpartum depression, and lower life satisfaction. Results indicate satisfactory psychometric qualities for the F-CPDI, providing researchers and mental health professionals access to a COVID-19 peritraumatic distress measure. This questionnaire can be used to assess peritraumatic distress in parents of an infant during a pandemic period, which is a first step towards offering adapted intervention strategies. (PsycInfo Database Record (c) 2022 APA, all rights reserved) (French) Les parents d'un nouveau-ne peuvent etre particulierement vulnerables a la detresse peritraumatique (c'est-a-dire la detresse psychologique vecue pendant ou immediatement apres un evenement traumatique) associee a des evenements tels que la pandemie de COVID-19. Puisque la detresse peritraumatique pourrait affecter a la fois leur bien-etre psychologique et le fonctionnement de leur relation de couple, il est essentiel de mesurer et de documenter ces symptomes chez les parents. L'indice de detresse peritraumatique reliee a la COVID-19 (IDPC;Qiu et al., 2020) a ete le premier instrument valide pour mesurer la detresse peritraumatique reliee a la COVID-19, mais il n'a pas encore ete valide en francais. Cette etude visait a evaluer les proprietes psychometriques de la version franco-canadienne du CPDI (l'IDPC en francais) aupres d'un echantillon de 492 parents (58 % de meres) d'un nouveau-ne dans la province de Quebec (Canada). La structure factorielle, la coherence interne et la validite convergente de l'instrument ont ete testees. Les resultats indiquent que l'IDPC a une bonne coherence interne et soutient la structure a quatre facteurs proposee par les auteurs de l'instrument original. Les resultats des analyses de correlation indiquent que la detresse peritraumatique est liee a une detresse psychologique accrue, a la depression post-partum et a une satisfaction de vie moindre. Les resultats indiquent des qualites psychometriques satisfaisantes pour l'IDPC, permettant aux chercheurs et aux professionnels de la sante mentale d'avoir acces a un indice de detresse peritraumatique reliee a la COVID-19. Ce questionnaire peut etre utilise pour evaluer la detresse peritraumatique des parents d'un nouveau-ne en periode de pandemie, ce qui constitue une premiere etape pour proposer des strategies d'intervention adaptees. (PsycInfo Database Record (c) 2022 APA, all rights reserved) Impact Statement The COVID-19 pandemic is associated with an increase in mental health problems, including peritraumatic distress (Qiu et al., 2020). This study tested the validity of the French-Canadian COVID-19 Peritraumatic Distress Index (F-CPDI;Qiu et al., 2020), the first validated instrument to measure COVID-19 peritraumatic distress. Results revealed satisfactory psychometric qualities for the F-CPDI and prevalence rate of peritraumatic distress reaching 20.5% in Quebec parents of an infant. (PsycInfo Database Record (c) 2022 APA, all rights reserved)