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3.
Int J Gynaecol Obstet ; 162(1): 368-374, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-37246463

RESUMO

In April 2023, the World Health Organization (WHO) issued new estimates affirming that one in six individuals experience infertility globally. Yet, many states are unclear on their responsibility to prevent infertility, ensure access to treatment, and to end the harm suffered by individuals who are considered infertile. Responding to this uncertainty, in June 2023, the United Nations Office of the High Commissioner on Human Rights (OHCHR) issued a new research paper explaining states' legal obligations regarding infertility. Importantly, OHCHR underscores that states must take steps to prevent infertility by addressing its root causes and ensure access to treatment. Further, states must address the negative consequences of infertility, including stigma and violence, as well as the discriminatory stereotypes that lead to certain groups facing disproportionate harm from infertility. This article provides an overview of the OHCHR report and explains what this means for healthcare providers, who have a critical role to play in providing care and advocating for legal and policy reform necessary to prevent, diagnose, and treat infertility.


Assuntos
Direitos Humanos , Infertilidade , Humanos , Organização Mundial da Saúde , Infertilidade/prevenção & controle
4.
J Econ Entomol ; 102(5): 1970-6, 2009 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-19886464

RESUMO

Sequential hypothesis testing in pest management applications are usually carried out using Wald's procedure or Iwao's procedure. Both of these procedures are applicable for one-parameter pest count models. The current practice for handling nuisance parameters when using the Wald procedure is to assume they are equal to specified values based on historical experience, and in the case of Iwao's procedure to assume a known mean-variance relationship such as Taylor's power law. In this article, we discuss the weaknesses of these practices, and advocate the use of Bartlett's sequential procedure as a better way to handle nuisance parameters. We also show how Bartlett's procedure can be implemented within three-hypothesis testing scenarios, where differentiation between three levels of infestation is desired.


Assuntos
Controle de Pragas/métodos , Densidade Demográfica , Projetos de Pesquisa , Animais , Distribuição Binomial , Insetos , Modelos Biológicos , Plantas/parasitologia , Probabilidade , Tamanho da Amostra
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