METHODS: We used the Autoregressive Moving Average Models (ARIMA) to forecast the number of cases in the upcoming 14 days and the Spearman correlation analysis to analyze the relationship between B.1.1.7 cases and meteorological variables such as temperature, humidity, rainfall, sunshine, and wind speed.
RESULTS: The results of the study showed the fitted ARIMA models forecasted there was an increase in the daily cases in three provinces. The total cases in three provinces would increase by 36% (West Java), 13.5% (South Sumatra), and 30% (East Kalimantan) as compared with actual cases until the end of 14 days later. The temperature, rainfall and sunshine factors were the main contributors for B.1.1.7 cases with each correlation coefficients; r = -0.230; p < 0.05, r = 0.211; p < 0.05 and r = -0.418; p < 0.01, respectively.
CONCLUSIONS: We recapitulated that this investigation was the first preliminary study to analyze a short-term forecast regarding COVID-19 and B.1.1.7 cases as well as to determine the associated meteorological factors that become primary contributors to the virus spread.
METHOD: A non-experimental quantitative analytic with a cross sectional study approach was used in this study. The respondents were 331 patients who visited the dental clinics of the Health Centers in Malang City. A cluster random sampling technique was used in this study. The instrument used was questionnaire. The data analysis was done through multivariate analyses use logistic-regression.
RESULTS: The Wald test results on logistic-regression models showed there is no significant effect of smoking habits and consumption patterns on periodontal disease. There is a significant effect of systemic disease on periodontal disease with a significance value of 0.000 (p<0.05).
CONCLUSIONS: There was a significant relationship and effect between systemic disease and periodontal disease in this study.
AIM: To compare the skin diseases prompting biopsy before and during the COVID-19 pandemic.
MATERIALS AND METHODS: A retrospective study of skin diseases was performed; the skin problems were then grouped into major histopathological reactions.
RESULTS: A total of 229 biopsies were performed before the COVID-19 outbreak, whereas only 160 biopsies were done during the pandemic. Before versus during the outbreak, the proportion of major reactions were granulomatous 20.52% vs 21.88%, neoplasms 17.47% vs 20%, psoriasiform 14.85% vs 10%, vesiculobullous 9.61% vs 8.75%, others 10.92% vs 7.50%, interface dermatitis 6.99% vs 10%, vasculopathy 6.99% vs 5.63%, spongiotic 6.55% vs 8.13%, panniculitis 3.49% vs 3.75%, and superficial and deep dermal infiltrate 2.62% vs 4.38%.
CONCLUSION: A decreased total number of patients prompting less biopsies were reported during the COVID-19 outbreak. However, the three largest percentages of major histopathological reactions were still similar, namely granulomatous, neoplasms, and psoriasiform.