Using machine learning to estimate health spillover effects

Author:

Wichmann BrunoORCID,Moreira Wichmann Roberta

Publisher

Springer Science and Business Media LLC

Subject

Health Policy,Economics, Econometrics and Finance (miscellaneous)

Reference48 articles.

1. Alves, L.: Brazilian icus short of drugs and beds amid COVID-19 surge. Lancet 397(10283), 1431–1432 (2021)

2. Avitabile, C.: Spillovers and social interaction effects in the demand for preventive healthcare: Evidence from the progresa program. J. Health Econ. 79, 102483 (2021)

3. Bigoni, A., Malik, A.M., Tasca, R., Carrera, M.B.M., Schiesari, L.M.C., Gambardella, D.D., Massuda, A.: Brazil’s health system functionality amidst of the covid-19 pandemic: An analysis of resilience. Lancet Reg. Health-Am. 10, 100222 (2022)

4. Brazilian Ministry of Health (2021). Despacho Referente a Nota Informativa no. 465/2021-CGAHD/DAHU/SAES/MS. Available online at https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/estudos-e-notas-informativas/2021/despacho-dahu-uti-sei_25000-188344_2021_03-2.pdf/@@download/file/Despacho%20DAHU%20UTI%20SEI_25000.188344_2021_03%20.pdf

5. Breiman, L.: Random forests. Mach. Learn. 45, 5–32 (2001)

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