ABSTRACT
BACKGROUND: An ectoparasitic disease, scabies, caused by the mite Sarcoptes scabiei var hominis. Some of the predisposing factors are overcrowding, unhygienic surroundings, immunocompromised status, dementia, homelessness, and sexual contact. In this study, we wanted to evaluate the changed distribution of lesions of scabies during pandemic. METHODS: A cross sectional study was performed on 600 patients attending the skin department of our tertiary care hospital over a period of 6 months. The sites of the scabies lesions were noted along with types of lesions. Demographic data and history of regular hand washing and sanitization were also documented. RESULTS: Our study revealed an important correlation between change in pattern of distribution of scabies lesions from being less frequent on finger webs (19%) to being more frequent on abdomen (periumbilical area) (73%) and groins (67%) due to regular hand washing and frequent sanitization, in this pandemic era. CONCLUSIONS: A significant change in distribution of skin lesions in scabies can be noticed during this COVID-19 pandemic.
ABSTRACT
Objective: Increased anxiety among individuals following the declaration of the coronavirus disease (COVID-19) pandemic, changes in social life, and dermatological eruptions caused or triggered by the COVID-19 infection have altered the incidence of dermatological diseases. To determine the impact of the pandemic, this study evaluated changes in the frequency, profile, and diagnostic spectrum of dermatology patients during the pandemic compared to the previous year. Materials and Methods: This study compared a 6-month period from March 2020, when the first COVID-19 case was reported in Turkey, to September 2020, with the same period in 2019. Age, sex, diagnosis groups, and diagnoses were recorded and compared with the previous year.
ABSTRACT
Background: Coronavirus disease has become a worldwide threat affecting almost every country in the world. The spread of the virus is likely to continue unabated. The aim of this study is to compare between Autoregressive Integrated Moving Average (ARIMA) model, Fuzzy time series and Holt-Winters - No seasonal for forecasting the COVID-19 new cases in Algeria.
ABSTRACT
Objective: To assess the risk of public health emergencies, both the indigenous ones and the imported ones, which might occur in the mainland of China in October 2021.