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Published on: January 4, 2014
Two waves of COIVD-19 in Brazilian cities and vaccination impact
Lixin Lin1, Boqiang Chen1, Yanji Zhao1
1Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Insights
Brazil
Area of Science:
- Epidemiology
- Mathematical Modeling
Background:
- Brazil experienced two severe waves of Coronavirus Disease 2019 (COVID-19), with the second wave exacerbated by the Gamma variant.
- Key factors like reinfection rates, infection fatality rate (IFR), and vaccination impact remained unclear.
- Previous reports indicated low levels of confirmed COVID-19 reinfection.
Purpose of the Study:
- To model COVID-19 dynamics in Brazil, incorporating severe cases, vaccination, and time-varying transmission rates.
- To assess the impact of vaccination campaigns across different Brazilian cities.
- To evaluate the role of reinfection in the second wave of COVID-19.
Main Methods:
- Modified Susceptible-Exposed-Infectious-Recovered (SEIR) model with compartments for severe cases and vaccination.
- Model fitted to severe acute respiratory infection (SARI) deaths in 20 major Brazilian cities.
- Comparative analysis of scenarios with and without vaccination; model evaluation with absent reinfection.
Main Results:
- The model accurately simulated deaths in the 20 studied cities.
- Vaccination effectiveness varied significantly among different cities.
- The estimated median infection fatality rate (IFR) was approximately 1.2%.
Conclusions:
- Vaccination campaign effectiveness differed across Brazilian cities.
- Reinfection was not a critical factor driving the second wave of COVID-19.
- High infection fatality rates may be linked to healthcare system strain in numerous cities.
Backgrounds:
Brazil has suffered two waves of Coronavirus Disease 2019 (COVID-19). The second wave, coinciding with the spread of the Gamma variant, was more severe than the first wave. Studies have not yet reached a conclusion on some issues including the extent of reinfection, the infection fatality rate (IFR), the infection attack rate (IAR) and the effects of the vaccination campaign in Brazil, though it was reported that confirmed reinfection was at a low level.
Methods:
We modify the classical Susceptible-Exposed-Infectious-Recovered (SEIR) model with additional class for severe cases, vaccination and time-varying transmission rates. We fit the model to the severe acute respiratory infection (SARI) deaths, which is a proxy of the COVID-19 deaths, in 20 Brazilian cities with the large number of death tolls. We evaluate the vaccination effect by a contrast of "with" vaccination actual scenario and "without" vaccination in a counterfactual scenario. We evaluate the model performance when the reinfection is absent in the model.
Results:
In the 20 Brazilian cities, the model simulated death matched the reported deaths reasonably well. The effect of the vaccination varies across cities. The estimated median IFR is around 1.2%.
Conclusion:
Overall, through this modeling exercise, we conclude that the effects of vaccination campaigns vary across cites and the reinfection is not crucial for the second wave. The relatively high IFR could be due to the breakdown of medical system in many cities.
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