This study aims to analyze the effectS of the COVID-19 pandemic, labor, domestic direct investment (DDI), AND foreign direct investment (FDI) on economic growth in Indonesia. The type of data used in this study is panel data, which is a combination of cross-section and THE time series data (Silvia, 2020). The cross-section data involves 34 provinces and time-series data covers the period from the first quarter of 2018 to the second quarter of 2021. The result found out that the regression coefficient of labor has a positive and significant effect at the 5 percent level, which means that if the number of workers increases by 1 percent, economic growth will increase by 0.03 percent. Furthermore, the FDI variable also has a significant and positive effect on economic growth in Indonesia. We can see in table 3.2 that the FDI variable is significant at the 5 percent level with a regression coefficient of 0.012, this means that an increase in FDI by 1 percent will accelerate economic growth by 0.012 percent. From the results of data processing obtained by the author, it can be seen that the DDI variable has a positive but not significant effect on economic growth in Indonesia, this can be seen from the p-value which is greater than 5 percent. The regression coefficient of -0.001 proves that the COVID-19 pandemic has a negative impact on economic growth in Indonesia. When the COVID-19 pandemic reached the territory of Indonesia, economic growth slowed by 0.001 percent.

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Objective: To determine and compare Neutrophil to Lymphocyte Ratio (NLR) and Platelet to Lymphocyte Ratio (PLR) in predicting severity of disease in patients with COVID-19. Study design: Descriptive comparative study. Place and Duration of study:  Department of Medicine, CMH Thal from April to July, 2020 Patients & Methods: 61 patients of COVID-19 confirmed through polymerase chain reaction were recruited and divided into severe and non severe disease. Complete blood counts were done. Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio were calculated and analyzed. Results: 14 patients (23%) of severe disease had mean age of 49.93±19.42 and 47 patients (77%) with non-severe disease had mean age of 33.32±9.16. The mean Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte ratio in patients who had severe disease was 7.20±4.20 and 204.25±148.42 (p=0.001 and p=0.026) respectively. The diagnostic performance of both Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio produced statistically significant area under the curve (AUC), (p <0.001). The adjusted and unadjusted area under curve for Neutrophil to Lymphocyte Ratio was 0.92 (95% CI: 0.85–1.00) and 0.923 (95% CI: 0.839-1.000) and for Platelet to Lymphocyte Ratio it was 0.883 (95% CI: 0.781–0.985) and 0.825(95% CI:  0.707-0.943) respectively.  Conclusion: Elevated Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio are independent biomarkers which predict severity of disease in COVID-19 patients with Neutrophil to Lymphocyte Ratio being better predictor in terms of diagnostic accuracy.  Keywords: Corona virus disease 2019 (COVID‐19), Neutrophil to Lymphocyte ratio, Platelet to Lymphocyte ratio

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