Résumé
Introduction: This study aimed to develop a model utilizing the data from the top 10 countries (as of August 22, 2020) with the maximum number of infected cases. These countries are the United States of America, Brazil, India, Russia, South Africa, Peru, Mexico, Colombia, Chile, and Spain. The model is developed using the newly infected cases, new deaths, cumulative infected cases, and cumulative deaths due to COVID-19 starting from the day on which the first infected cases of COVID-19 in each of these countries is diagnosed to the date August 19, 2020. Materials and Methods: This study includes data such as the newly infected cases, new deaths, cumulative infected cases, and cumulative deaths due to COVID-19 starting from the day on which the first infected case of COVID-19 in each of these countries is diagnosed to the date August 19, 2020, in the top 10 most affected countries. The data were obtained from World Health Organization (WHO) website. To fit the data into a regression model, IBM SPSS Statistics 21.0 was used. The linear, logarithmic, quadratic, and cubic curves were fitted to the newly infected COVID-19 cases and daily deaths due to COVID-19. In choosing the best-fitted model, the coefficient of determination (R-square) was used. Results: Cubic regression model is the best fit model for new infected COVID-19 cases as well as COVID-19 deaths. It has the highest R-square value as compared to the linear, logarithmic and quadratic. Conclusion: To control the spread of infection, there is a need for aggressive control strategies from the administrative departments of all countries.
Résumé
Background: Community based active case finding for tuberculosis (TB) is an essential step in the fight forward for eliminating TB. One of the steps in targeting TB intervention is early diagnosis and treatment of patients by reducing the reservoir of infection in the community. Active case finding (ACF) targeting the entire population by house to house survey was done in Nicobar district of these islands.Methods: A community-based, cross-sectional, descriptive study was conducted with the trained mobile teams from 17.07.2017 to 31.07.2017 in the Nicobar District. The algorithm of the case detection included screening patients by symptoms, then by sputum microscopy for confirmation. X-ray was done in patients who were symptomatic but sputum negative. If both smear and chest X-ray results were negative but still symptomatic, then cartridge-based nucleic acid amplification test (CBNAAT) was done.Results: A total population of 18526 was mapped of which 14784 (79.8) could be screened. A total of 209 people were identified by the mobile teams with symptoms who were examined by sputum microscopy. Among them 7 cases were identified to be sputum smear positive, 2 X-ray positive and 2 were diagnosed by CBNAAT.Conclusions: This study shows that the active case finding method is feasible and acceptable by the community. The results obtained are encouraging for the implementation of ACF through mobile team activity in all these islands in order to meet the target of WHO’s End TB Strategy.