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3.
Geneva; World Health Organization; 2023-07-13.
in English | WHOIRIS | ID: gwh-371096
4.
Копенгаген; Всемирная организация здравоохранения. Европейское региональное бюро; 2023. (WHO/2019-nCoV/Vaccines/SAGE/Prioritization/2023.1).
in Russian | WHOIRIS | ID: gwh-371051
6.
Geneva; World Health Organization; 2023-07-06.
in English | WHOIRIS | ID: gwh-370545
9.
Geneva; World Health Organization; 2023-06-29.
in English | WHOIRIS | ID: gwh-370351
11.
Geneva; World Health Organization; 2023-06-22.
in English | WHOIRIS | ID: gwh-369787
12.
J R Soc Interface ; 20(202): 20230036, 2023 05.
Article in English | MEDLINE | ID: covidwho-20245634

ABSTRACT

Frequent emergence of communicable diseases is a major concern worldwide. Lack of sufficient resources to mitigate the disease burden makes the situation even more challenging for lower-income countries. Hence, strategy development for disease eradication and optimal management of the social and economic burden has garnered a lot of attention in recent years. In this context, we quantify the optimal fraction of resources that can be allocated to two major intervention measures, namely reduction of disease transmission and improvement of healthcare infrastructure. Our results demonstrate that the effectiveness of each of the interventions has a significant impact on the optimal resource allocation in both long-term disease dynamics and outbreak scenarios. The optimal allocation strategy for long-term dynamics exhibits non-monotonic behaviour with respect to the effectiveness of interventions, which differs from the more intuitive strategy recommended in the case of outbreaks. Further, our results indicate that the relationship between investment in interventions and the corresponding increase in patient recovery rate or decrease in disease transmission rate plays a decisive role in determining optimal strategies. Intervention programmes with decreasing returns promote the necessity for resource sharing. Our study provides fundamental insights into determining the best response strategy when controlling epidemics in resource-constrained situations.


Subject(s)
Communicable Diseases , Epidemics , Humans , Epidemics/prevention & control , Communicable Diseases/epidemiology , Disease Outbreaks/prevention & control , Resource Allocation
13.
Front Public Health ; 11: 1117539, 2023.
Article in English | MEDLINE | ID: covidwho-20245549

ABSTRACT

Background: Two years after the outbreak of the pandemic, several studies look at the consequences for the well-being and mental health of young people. In particular, creativity and resilience are cited in the scientific literature as resources that promote this well-being in adolescents and young adults. Purpose: This mini-literature review was created with the aim of examining how many articles have explored the relationship between creativity and resilience in adolescents and young adults since the onset of the pandemic. Methods: Particular attention was paid to how many of the articles actually related to the consequences of the pandemic, in which country they were published, their target population, and the models, instruments and variables used to analyze them. Results: Only 4 articles emerged from the screening, of which only one was actually related to pandemic consequences. All articles were published in Asian countries with a target group of university students. Three of the articles used mediation models to examine the relationship between resilience as an independent variable and creativity as a dependent variable. All articles used self-assessment instruments for creativity and resilience, both at the individual and group level. Significance: This mini-review offers us the opportunity to reflect on the lack of studies that have addressed the issue of youth resources in the form of creativity and resilience since the beginning of the pandemic. The results show us a still underdeveloped interest in creativity in the scientific literature, in contrast to what the media reports on the promotion of creativity in daily life.


Subject(s)
Mental Health , Pandemics , Humans , Adolescent , Young Adult , Disease Outbreaks , Asia
14.
Postgrad Med J ; 96(1137): 417-421, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-20244607

ABSTRACT

All animal life on earth is thought to have a common origin and have common genetic mechanisms. Evolution has enabled differentiation of species. Pathogens likewise have evolved within various species and mostly come to a settled dynamic equilibrium such that co-existence results (pathogens ideally should not kill their hosts). Problems arise when pathogens jump species because the new host had not developed any resistance. These infections from related species are known as zoonoses. COVID-19 is the latest example of a virus entering another species but HIV (and various strains of influenza) were previous examples. HIV entered the human population from monkeys in Africa. These two papers outline the underlying principle of HIV and the differing epidemiologies in Africa, the USA and in Edinburgh. The underlying immunosuppression of HIV in Africa was initially hidden behind common infections and HIV first came to world awareness in focal areas of the USA as a disease seemingly limited to gay males. The epidemic of intravenous drug abuse in Edinburgh was associated with overlapping epidemics of bloodborne viruses like hepatitis B, hepatitis C and HIV.


Subject(s)
Coinfection/virology , HIV Infections/physiopathology , Hepatitis B/physiopathology , Hepatitis C/physiopathology , Animals , Disease Outbreaks , HIV Infections/genetics , HIV Infections/virology , HIV-1/genetics , HIV-1/pathogenicity , Hepatitis B/genetics , Hepatitis C/genetics , Humans , Needle Sharing/statistics & numerical data , Phylogeny , Substance Abuse, Intravenous/epidemiology , Zoonoses
19.
Front Public Health ; 11: 1050759, 2023.
Article in English | MEDLINE | ID: covidwho-20245408

ABSTRACT

Objective: We aimed to investigate the influence of media on college students' mental health during the COVID-19 pandemic. Methods: After the COVID-19 outbreak, we used cross-sectional surveys through online questionnaires to investigate the mental health of college students in lockdown at home. We identified the influencing factors of PTSD symptoms using the Chi-Square test and ordinal logistic regression analysis. Results: In 10,989 valid questionnaires, 9,906 college students with no PTSD symptoms, 947 college students with subclinical PTSD symptoms (1-3 items), and 136 college students with four or more PTSD symptoms were screened out. The results showed that media content impacted the mental health of college students in lockdown at home. Positive media content was negatively correlated with PTSD symptoms among college students. PTSD symptoms were not associated with sources of information. Moreover, College students with PTSD symptoms would reduce their willingness to learn and could not complete online learning efficiently. Conclusion: PTSD symptoms are related to media exposure and excessive information involvement of COVID-19 in college students, which influences the willingness to attend online classes.


Subject(s)
COVID-19 , Pandemics , Humans , Cross-Sectional Studies , COVID-19/epidemiology , Communicable Disease Control , Disease Outbreaks , Students
20.
BMC Health Serv Res ; 23(1): 583, 2023 Jun 07.
Article in English | MEDLINE | ID: covidwho-20245209

ABSTRACT

BACKGROUND: Staff shortage is a long-standing issue in long term care facilities (LTCFs) that worsened with the COVID-19 outbreak. Different states in the US have employed various tools to alleviate this issue in LTCFs. We describe the actions taken by the Commonwealth of Massachusetts to assist LTCFs in addressing the staff shortage issue and their outcomes. Therefore, the main question of this study is how to create a central mechanism to allocate severely limited medical staff to healthcare centers during emergencies. METHODS: For the Commonwealth of Massachusetts, we developed a mathematical programming model to match severely limited available staff with LTCF demand requests submitted through a designed portal. To find feasible matches and prioritize facility needs, we incorporated restrictions and preferences for both sides. For staff, we considered maximum mileage they are willing to travel, available by date, and short- or long-term work preferences. For LTCFs, we considered their demand quantities for different positions and the level of urgency for their demand. As a secondary goal of this study, by using the feedback entries data received from the LTCFs on their matches, we developed statistical models to determine the most salient features that induced the LTCFs to submit feedback. RESULTS: We used the developed portal to complete about 150 matching sessions in 14 months to match staff to LTCFs in Massachusetts. LTCFs provided feedback for 2,542 matches including 2,064 intentions to hire the matched staff during this time. Further analysis indicated that nursing homes and facilities that entered higher levels of demand to the portal were more likely to provide feedback on the matches and facilities that were prioritized in the matching process due to whole facility testing or low staffing levels were less likely to do so. On the staffing side, matches that involved more experienced staff and staff who can work afternoons, evenings, and overnight were more likely to generate feedback from the facility that they were matched to. CONCLUSION: Developing a central matching framework to match medical staff to LTCFs at the time of a public health emergency could be an efficient tool for responding to staffing shortages. Such central approaches that help allocate a severely limited resource efficiently during a public emergency can be developed and used for different resource types, as well as provide crucial demand and supply information in different regions and/or demographics.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Long-Term Care , Nursing Homes , Disease Outbreaks , Medical Staff
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