Publications

BibTex format

@article{Brizzi:2022:10.1038/s41591-022-01807-1,
author = {Brizzi, A and Whittaker, C and Servo, LMS and Hawryluk, I and Prete, Jr CA and de, Souza WM and Aguiar, RS and Araujo, LJT and Bastos, LS and Blenkinsop, A and Buss, LF and Candido, D and Castro, M and Costa, S and Croda, J and de, Souza Santos AA and Dye, C and Flaxman, S and Fonseca, PLC and Geddes, VEV and Gutierrez, B and Lemey, P and Levin, AS and Mellan, T and Bonfim, D and Miscoridou, X and Mishra, S and Monod, M and Moreira, FRR and Ranzani, O and Schnekenberg, R and Semenova, E and Sonnabend, R and Souza, RP and Xi, X and Sabino, E and Faria, NR and Bhatt, S and Ratmann, O},
doi = {10.1038/s41591-022-01807-1},
journal = {Nature Medicine},
title = {Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals},
url = {http://dx.doi.org/10.1038/s41591-022-01807-1},
volume = {28},
year = {2022}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The SARS-CoV-2 Gamma variant of concern spread rapidly across Brazil since late 2020, causing substantial infection and death waves. We use individual-level patient records following hospitalisation with suspected or confirmed COVID-19 between 20 January 2020 and 26 July 2021 to document temporary, sweeping shocks in hospital fatality rates that followed Gamma’s spread across 14 state capitals, during which typically more than half of hospitalised patients aged 70 and over died. We show that such extensive shocks in COVID-19 in-hospital fatality rates also existed prior to detection of Gamma. Using a Bayesian fatality rate model, we find that the geographic and temporal fluctuations in Brazil’s COVID-19 in-hospital fatality rates were primarily associated with geographic inequities and shortages in healthcare capacity. We estimate that approximately half of the COVID-19 deaths in hospitals in the 14 cities could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization, and pandemic preparedness are critical to minimize population wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries.
AU  - Brizzi,A
AU  - Whittaker,C
AU  - Servo,LMS
AU  - Hawryluk,I
AU  - Prete,Jr CA
AU  - de,Souza WM
AU  - Aguiar,RS
AU  - Araujo,LJT
AU  - Bastos,LS
AU  - Blenkinsop,A
AU  - Buss,LF
AU  - Candido,D
AU  - Castro,M
AU  - Costa,S
AU  - Croda,J
AU  - de,Souza Santos AA
AU  - Dye,C
AU  - Flaxman,S
AU  - Fonseca,PLC
AU  - Geddes,VEV
AU  - Gutierrez,B
AU  - Lemey,P
AU  - Levin,AS
AU  - Mellan,T
AU  - Bonfim,D
AU  - Miscoridou,X
AU  - Mishra,S
AU  - Monod,M
AU  - Moreira,FRR
AU  - Ranzani,O
AU  - Schnekenberg,R
AU  - Semenova,E
AU  - Sonnabend,R
AU  - Souza,RP
AU  - Xi,X
AU  - Sabino,E
AU  - Faria,NR
AU  - Bhatt,S
AU  - Ratmann,O
DO  - 10.1038/s41591-022-01807-1
PY  - 2022///
SN  - 1078-8956
TI  - Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
T2  - Nature Medicine
UR  - http://dx.doi.org/10.1038/s41591-022-01807-1
UR  - https://www.nature.com/articles/s41591-022-01807-1
UR  - http://hdl.handle.net/10044/1/96349
VL  - 28
ER  -

Download

DrOliverRatmann

Contact

Location

Summary

Citation

BibTex format

RIS format (EndNote, RefMan)