Publications by authors named "Yair Y Shaki"

Every public health expenditure, including the one that saves lives or extends life expectancy of particular persons (target population), bears a cost. Although cost-effectiveness analysis (CEA) is routinely performed in health policy, ethical justification of CEA is rarely discussed. Also, there is neither consensus value nor even consensus method for determining cost-effectiveness threshold (CET) for life-extending measures.

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On January 30, 2020, the World Health Organization (WHO) declared SARS-CoV-2 a global pandemic, based on a high infection rate and a high case fatality rate (CFR). The combination of these two points led WHO to forecast a high expected mortality rate of approximately 2% of the population. The phenomenon of Simpson's paradox teaches us that we should be careful when we combine two variables together.

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Purpose: We aimed for a quantitative evaluation that justifies guidelines for evacuation which take into consideration both the human and economic costs. To the best of our knowledge, such an evaluation has not been performed yet. The present guidelines published by the International Atomic Energy Agency (IAEA) are probably based on averting radiation risk only; IAEA did not cite any quantitative estimation of the human cost of evacuation.

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The discussion regarding mandatory vaccination of children centers mainly around the question of whether producing public good has precedence over the freedom of individuals. In the core of this discussion lies the assumption that mass immunization has been proven as a public good, based on the experts' opinion that there is no proof of significant damage caused by vaccinations. We suggest, however, that this argument is insufficient.

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Scientists are human. As such, they are prone to bias based on political and economic interests. While conflicts of interest are usually associated with private funding, research funded by public sources is also subject to special interests and therefore prone to bias.

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The linear no-threshold (LNT) model of ionizing radiation-induced cancer assumes that every increment of radiation dose, no matter how small, constitutes an increased cancer risk for humans. Linear no-threshold is presently the most widely applied model for radiation risk assessment. As such, it imposes very heavy burden on the society in both economic and human terms.

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