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Avaliação da eficiência do controlo do contágio e do tratamento médico à COVID-19 em países da OCDE utilizando a análise envoltória de dados
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Abstract(s)
Atualmente, a doença causada pelo novo coronavírus (COVID-19) é um dos
problemas de saúde mais significativos em todo o mundo. A Organização Mundial da
Saúde (World Health Organization - WHO) declarou o evento uma emergência de saúde
pública global no final de janeiro de 2020 e, em seguida, declarou-o uma pandemia global
em março de 2020. A impressionante e rápida disseminação do vírus não tem precedentes
e superou todas as expectativas. Com quase todos os países do mundo sendo infetados, o
desafio de conter o vírus torna-se cada vez mais sério. O objetivo principal deste artigo é
explorar o potencial do uso da Análise Envoltória de Dados (Data Envelopment Analysis
- DEA) para estabelecer comparações internacionais sobre a eficiência da implementação
de programas no combate à pandemia COVID-19, permitindo desta forma identificar um
conjunto de boas práticas.
Para fazer isso, usou-se dados de 18 países pertencentes à Organização para a
Cooperação e Desenvolvimento Económico (OCDE) para a avaliação de eficiência do
controlo do contágio e do tratamento médico, modelo A e B, respetivamente. Os
resultados indicam que há uma variação notável na eficiência, sugerindo que um melhor
uso dos recursos poderia evitar a disseminação do vírus e a mortalidade elevada.
Como países eficientes obteve-se a Eslovénia e Letónia para ambos os modelos.
Como menos eficientes obteve-se a Dinamarca, Islândia e Suíça no controlo de contágio,
e a Alemanha, Áustria e Suíça no tratamento médico. Estes resultados também
demonstram o potencial papel estratégico da metodologia DEA para o planeamento
eficiente e eficaz de recursos escassos para o combate à pandemia.
Currently, the disease caused by the new coronavirus (COVID-19) is one of the most significant health problems worldwide. The World Health Organization (WHO) declared the event a global public health emergency in late January 2020 and then declared it a global pandemic in March 2020. The impressive and rapid spread of the virus is unprecedented and surpassed all expectations. With nearly every country in the world is infected, the challenge of containing the virus becomes increasingly serious. The main objective of this article is to explore the potential of using Data Envelopment Analysis (DEA) to establish international comparisons on the efficiency of implementing programs to fight the COVID-19 pandemic, thus allowing to identify a set of good practices. To do this, data from 18 countries belonging to the Organization for Economic Co-operation and Development (OECD) were used to assess the efficiency of infection control and medical treatment, model A and B, respectively. The results indicate that there is a notable variation in efficiency, suggesting that better use of resources could prevent the spread of the virus and high mortality. The efficient countries are Slovenia and Latvia for both models. Less efficient countries were Denmark, Iceland, and Switzerland in the control of infection, and Germany, Austria, and Switzerland in the medical treatment. These results also demonstrate the potential strategic role of the DEA methodology for the efficient and effective planning of scarce resources to fight the pandemic.
Currently, the disease caused by the new coronavirus (COVID-19) is one of the most significant health problems worldwide. The World Health Organization (WHO) declared the event a global public health emergency in late January 2020 and then declared it a global pandemic in March 2020. The impressive and rapid spread of the virus is unprecedented and surpassed all expectations. With nearly every country in the world is infected, the challenge of containing the virus becomes increasingly serious. The main objective of this article is to explore the potential of using Data Envelopment Analysis (DEA) to establish international comparisons on the efficiency of implementing programs to fight the COVID-19 pandemic, thus allowing to identify a set of good practices. To do this, data from 18 countries belonging to the Organization for Economic Co-operation and Development (OECD) were used to assess the efficiency of infection control and medical treatment, model A and B, respectively. The results indicate that there is a notable variation in efficiency, suggesting that better use of resources could prevent the spread of the virus and high mortality. The efficient countries are Slovenia and Latvia for both models. Less efficient countries were Denmark, Iceland, and Switzerland in the control of infection, and Germany, Austria, and Switzerland in the medical treatment. These results also demonstrate the potential strategic role of the DEA methodology for the efficient and effective planning of scarce resources to fight the pandemic.
Description
Keywords
Avaliação da eficiência Controlo do contágio COVID-19 DEA OCDE Tratamento médico