Plos One
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A pandemic of coronavirus disease 2019 (COVID-19) emerged and affected most of the world in early 2020. To inform effective public health measures we conducted a knowledge, attitude and practice (KAP) survey among a Hausa Muslim society in Nigeria in March 2020. ⋯ Knowledge of transmission and preventive measures should be improved in the general population cognizant of cultural norms and Islamic practices. The study highlights the importance of considering belief systems and perception in developing control measures against COVID-19.
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Healthcare workers are at increased risk of adverse mental health outcomes during the COVID-19 pandemic. Studies are warranted that examine socio-ecological factors associated with these outcomes to inform interventions that support healthcare workers during future disease outbreaks. ⋯ These findings can inform targeted interventions that promote healthcare workers' psychological resilience during disease outbreaks.
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One Health approach for elimination of human anthrax in a tribal district of Odisha: Study protocol.
Anthrax is a major but neglected zoonotic disease of public health concern in India with Odisha contributing a major share to the disease burden. Bacillus anthracis spores can be found naturally in soil and commonly affect both animals and humans around the world. Domestic and wild animals such as cattle, sheep, goats, and deer can become infected when they inhale or ingest spores from contaminated soil, plants, or water. Anthrax can be fatal if patients are not treated promptly with antibiotics. This protocol aims to describe the implementation and evaluation of the 'One Health' intervention model based on the principles of Theory of Change (ToC) to eliminate human anthrax from a tribal district in Odisha, India. ⋯ This would be a first study applying One Health concept for the elimination of human anthrax in India. The findings from this study will offer important insights for policy-making and further replication in other endemic regions of the state and country.
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The lockdown of sports infrastructure due to the COVID-19 pandemic has substantially shifted people's physical activity towards public green spaces. With Germany's lockdown as one of the more severe governmentally imposed epidemic-control-decisions, we tested to what extent the frequency of outdoor cycling activities changed from March to June 2020. ⋯ Fitness App data, e.g. from Strava, can be used to monitor visitor behaviour and frequency. The increase in outdoor cycling activities during epidemic control decisions likely reflects a shift of sport activities from indoor and team sports to outdoor and individual sports. This highlights the importance of accessible green space for maintaining physical fitness and health. Beyond this shift, it is likely that outdoor activities may be of particularly importance for stress relief in times of crisis such as the current COVID-19 pandemic.
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The novel coronavirus (COVID-19) is an emergent disease that initially had no historical data to guide scientists on predicting/ forecasting its global or national impact over time. The ability to predict the progress of this pandemic has been crucial for decision making aimed at fighting this pandemic and controlling its spread. In this work we considered four different statistical/time series models that are readily available from the 'forecast' package in R. ⋯ However, for the majority of the analyses, the time series model with autoregressive integrated moving average (ARIMA) and cubic smoothing spline models both had smaller prediction errors and narrower prediction intervals, compared to the Holt and Trigonometric Exponential smoothing state space model with Box-Cox transformation (TBATS) models. Therefore, the former two models were preferable to the latter models. Given similarities in performance of the models in the USA and Italy, the corresponding prediction tools can be applied to other countries grappling with the COVID-19 pandemic, and to any pandemics that can occur in future.