Dataset Information

Impact of the COVID-19 pandemic on the incidence of dengue fever in Peru.

ABSTRACT: Dengue virus and severe acute respiratory syndrome coronavirus 2 coexist in dengue-endemic countries; therefore, the adoption of preventive measures is essential to control the spread of both viruses. We conducted an ecological study to compare the temporal patterns of the incidence of dengue before and during the Coronavirus disease 2019 (COVID-19) pandemic in Peru. A time-series analysis comparing the incidence of dengue using a Student's t test with variance correction was performed. Poisson regression was applied to determine the incidence rate ratio (IRR) of dengue before and during the COVID-19 pandemic. The incidence of dengue was found to be increased in all endemic regions of Peru during the COVID-19 pandemic, with the highest incidences registered in Ica (IRR = 90.14), Huánuco (IRR = 38.6), and Ucayali (IRR = 23.78), with the exception of Piura (IRR = 0.83). The highest increases in the number of dengue cases per million inhabitants were in Ucayali (393.38), Tumbes (233.19), Ica (166.08), and Loreto (129.93). The gradient of dengue cases was positive in all endemic regions during the COVID-19 pandemic. The number of dengue cases per million increased during the COVID-19 pandemic throughout Peru and in several endemic regions, with the exception of Piura.

SUBMITTER: Plasencia-Duenas R

PROVIDER: S-EPMC8661613 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of the COVID-19 pandemic on the incidence of dengue fever in Peru.

Plasencia-Dueñas Rubí R Failoc-Rojas Virgilio E VE Rodriguez-Morales Alfonso J AJ

Journal of medical virology 20210901 1

Dengue virus and severe acute respiratory syndrome coronavirus 2 coexist in dengue-endemic countries; therefore, the adoption of preventive measures is essential to control the spread of both viruses. We conducted an ecological study to compare the temporal patterns of the incidence of dengue before and during the Coronavirus disease 2019 (COVID-19) pandemic in Peru. A time-series analysis comparing the incidence of dengue using a Student's t test with variance correction was performed. Poisson ...[more]

PMID: 34436792

Similar Datasets

Project description:Objective Over the past decade, scarlet fever has caused a relatively high economic burden in various regions of China. Non-pharmaceutical interventions (NPIs) are necessary because of the absence of vaccines and specific drugs. This study aimed to characterize the demographics of patients with scarlet fever, describe its spatiotemporal distribution, and explore the impact of NPIs on the disease in the era of coronavirus disease 2019 (COVID-19) in China. Methods Using monthly scarlet fever data from January 2011 to December 2019, seasonal autoregressive integrated moving average (SARIMA), advanced innovation state-space modeling framework that combines Box-Cox transformations, Fourier series with time-varying coefficients, and autoregressive moving average error correction method (TBATS) models were developed to select the best model for comparing between the expected and actual incidence of scarlet fever in 2020. Interrupted time series analysis (ITSA) was used to explore whether NPIs have an effect on scarlet fever incidence, while the intervention effects of specific NPIs were explored using correlation analysis and ridge regression methods. Results From 2011 to 2017, the total number of scarlet fever cases was 400,691, with children aged 0–9 years being the main group affected. There were two annual incidence peaks (May to June and November to December). According to the best prediction model TBATS (0.002, {0, 0}, 0.801, {<12, 5>}), the number of scarlet fever cases was 72,148 and dual seasonality was no longer prominent. ITSA showed a significant effect of NPIs of a reduction in the number of scarlet fever episodes (β2 = −61526, P < 0.005), and the effect of canceling public events (c3) was the most significant (P = 0.0447). Conclusions The incidence of scarlet fever during COVID-19 was lower than expected, and the total incidence decreased by 80.74% in 2020. The results of this study indicate that strict NPIs may be of potential benefit in preventing scarlet fever occurrence, especially that related to public event cancellation. However, it is still important that vaccines and drugs are available in the future.

Project description:ObjectivesThe COVID-19 pandemic significantly affected the provisions of health services to necessary but deprioritised fields, such as transplantation. Many programmes had to ramp-down their activity, which may significantly affect transplant volumes. We aimed to pragmatically analyse measures of transplant activity and compare them by a country's income level and cumulative COVID-19 incidence (CCI).Design, setting and participantsFrom June to September 2020, we surveyed transplant physicians identified as key informants in their programmes. Of the 1267 eligible physicians, 40.5% from 71 countries participated.OutcomeFour pragmatic measures of transplant activity.ResultsOverall, 46.5% of the programmes from high-income countries anticipate being able to maintain >75% of their transplant volume compared with 31.6% of the programmes from upper-middle-income countries, and with 21.7% from low/lower-middle-income countries (p<0.001). This could be because more programmes in high-income countries reported being able to perform transplantation/s (86.8%%-58.5%-67.9%, p<0.001), maintain prepandemic deceased donor offers (31.0%%-14.2%-26.4%, p<0.01) and avoid a ramp down phase (30.9%%-19.7%-8.3%, p<0.001), respectively. In a multivariable analysis that adjusted for CCI, programmes in upper-middle-income countries (adjusted OR, aOR=0.47, 95% CI 0.27 to 0.81) and low/lower-middle-income countries (aOR 0.33, 95% CI 0.16 to 0.67) had lower odds of being able to maintain >75% of their transplant volume, compared with programmes in high-income countries. Again, this could be attributed to lower-income being associated with 3.3-3.9 higher odds of performing no transplantation/s, 66%-68% lower odds of maintaining prepandemic donor offers and 37%-76% lower odds of avoiding ramp-down of transplantation. Overall, CCI was not associated with these measures.ConclusionsThe impact of the pandemic on transplantation was more in lower-income countries, independent of the COVID-19 burden. Given the lag of 1-2 years in objective data being reported by global registries, our findings may inform practice and policy. Transplant programmes in lower-income countries may need more effort to rebuild disrupted services and recuperate from the pandemic even if their COVID-19 burden was low.

Dataset Information

Impact of the COVID-19 pandemic on the incidence of dengue fever in Peru.

Publications

Impact of the COVID-19 pandemic on the incidence of dengue fever in Peru.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets