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1.
Clin Microbiol Infect ; 27(10): 1502-1506, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1260692

ABSTRACT

OBJECTIVE: To analyse the correlation between COVID-19 vaccination percentage and socioeconomic status (SES). METHODS: A nationwide ecologic study based on open-sourced, anonymized, aggregated data provided by the Israel Ministry of Health. The correlations between municipal SES, vaccination percentage and active COVID-19 cases during the vaccination campaign were analysed by using weighted Pearson correlations. To assess the adequacy of first dose vaccination rollout relative to the municipality COVID-19 disease burden, a metric termed the vaccination need ratio was devised by dividing the total number of active cases (per 10 000 people) by the vaccination percentage of the population over 60 in each municipality, and its correlation with the SES was examined. RESULTS: 23 days after initiation of the vaccination campaign, 760 916 (56.8%) individuals over the age of 60 were vaccinated in Israel with the first dose of the BNT162b2 COVID-19 vaccine. A negative correlation was found between the COVID-19 active case burden and the vaccination percentage of the study population in each municipality (r = -0.47, 95% CI -0.59 to -0.30). The vaccination percentage significantly correlated with the municipal SES (r = 0.83, 95% CI 0.79 to 0.87). This finding persisted but was attenuated over a 5-week period. A negative correlation between the vaccination need ratio and municipal SES (r = -0.80, 95% CI -0.88 to -0.66) was found. DISCUSSION: Lower COVID-19 vaccination percentage was associated with lower SES and high active disease burden. Vaccination efforts should focus on areas with lower SES and high disease burden to assure equality of vaccine allocation and potentially provide a more diligent disease mitigation.


Subject(s)
COVID-19/epidemiology , Patient Acceptance of Health Care/statistics & numerical data , Vaccination/statistics & numerical data , Aged , Aged, 80 and over , COVID-19/prevention & control , COVID-19 Vaccines/administration & dosage , Humans , Immunization Programs , Israel/epidemiology , Middle Aged , Risk Factors , SARS-CoV-2/immunology , Social Class , Socioeconomic Factors
2.
Acad Med ; 96(7): 1005-1009, 2021 07 01.
Article in English | MEDLINE | ID: covidwho-1165513

ABSTRACT

PROBLEM: The COVID-19 pandemic has challenged health care systems in an unprecedented way by imposing new demands on health care resources and scientific knowledge. There has also been an exceedingly fast accumulation of new information on this novel virus. As the traditional peer-review process takes time, there is currently a significant gap between the ability to generate new data and the ability to critically evaluate them. This problem of an excess of mixed-quality data, or infodemic, is echoing throughout the scientific community. APPROACH: The authors aimed to help their colleagues at the Rambam Medical Center, Haifa, Israel, manage the COVID-19 infodemic with a methodologic solution: establishing an in-house mechanism for continuous literature review and knowledge distribution (March-April 2020). Their methodology included the following building blocks: a dedicated literature review team, artificial intelligence-based research algorithms, brief written updates in a graphical format, large-scale webinars and online meetings, and a feedback loop. OUTCOMES: During the first month (April 2020), the project produced 21 graphical updates. After consideration of feedback from colleagues and final editing, 13 graphical updates were uploaded to the center's website; of these, 31% addressed the clinical presentation of the disease and 38% referred to specific treatments. This methodology as well as the graphical updates it generated were adopted by the Israeli Ministry of Health and distributed in a hospital preparation kit. NEXT STEPS: The authors believe they have established a novel methodology that can assist in the battle against COVID-19 by making high-quality scientific data more accessible to clinicians. In the future, they expect this methodology to create a favorable uniform standard for evidence-guided health care during infodemics. Further evolution of the methodology may include evaluation of its long-term sustainability and impact on the day-to-day clinical practice and self-confidence of clinicians who treat COVID-19 patients.


Subject(s)
Academic Medical Centers , Biomedical Research , COVID-19 , Evidence-Based Practice/methods , Information Dissemination/methods , Information Services , Review Literature as Topic , Academic Medical Centers/methods , Academic Medical Centers/organization & administration , Artificial Intelligence , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/therapy , Disease Outbreaks , Evidence-Based Practice/organization & administration , Humans , Information Services/organization & administration , Israel/epidemiology , Peer Review, Research
3.
Rambam Maimonides Med J ; 11(3)2020 Jul 31.
Article in English | MEDLINE | ID: covidwho-721597

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has remarkably challenged health care organizations and societies. A key strategy for confronting the disease implications on individuals and communities was based on harnessing multidisciplinary efforts to develop technologies for mitigating the disease spread and its deleterious clinical implications. One of the main challenging characteristics of COVID-19 is the provision of medical care to patients with a highly infective disease mandating the use of isolation measures. Such care is complicated by the need for complex critical care, dynamic treatment guidelines, and a vague knowledge regarding the disease's pathophysiology. A second key component of this challenge was the overwhelming surge in patient burden and the relative lack of trained staff and medical equipment which required rapid re-organization of large systems and augmenting health care efficiencies to unprecedented levels. In contrast to the risk management strategies employed to mitigate other serious threats and the billions of dollars that are invested in reducing these risks annually by governments around the world, no such preparation has been shown to be of effect during the current COVID-19 pandemic. Unmet needs were identified within the newly opened COVID-19 departments together with the urgent need for reliable information for effective decision-making at the state level.This review article describes the early research and development response in Israel under the scope of in-hospital patient care, such as non-contact sensing of patients' vital signs, and how it could potentially be weaved into a practical big picture at the hospital or national level using a strategic management system. At this stage, some of the described technologies are still in developmental or clinical evidence generation phases with respect to COVID-19 settings. While waiting for future publications describing the results of the ongoing evidence generation efforts, one should be aware of this trend as these emerging tools have the potential to further benefit patients as well as caregivers and health care systems beyond the scope of the current pandemic as well as confronting future surges in the number of cases.

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