Determinants of Capital Flight in the East African Community

The region has lost an immense amount of capital that has led to sluggish regional integration in terms of capital formation and productive capabilities. Albeit most of these countries are in the ranking list of the huge volumes of capital flight, East Africa has never been considered as a sub-region in the capital-related studies. Cognizant of this, this paper intends to contribute to this body of knowledge by filling a noticeable gap. This paper examined the determinant of capital flight from East African Community countries that include Kenya, Tanzania, Uganda, Rwanda, and Burundi using panel data for the years 1988 to 2018 using the real gross domestic product, interest rate differential, external debt, corruption index, and exchange rate as explanatory variables. Secondary data obtained from EAC member countries National Bureau of Statistics. Levin-Lin-Chu panel unit root test was carried out and capital flight and Exchange rate found to be stationary at level. The fixed effect regression results showed that corruption, external debt, and the exchange rate had a positive and statistically significant effect on capital flight while real GDP had a negative and statistically significant effect on capital flight. Thus, policymakers should endeavor to achieve a broad investor base for its domestic and foreign obligations, with due regard to cost and risk, and should treat investors equally. In addition, there is a need to harmonize the judiciary and the executives in EAC to facilitate the fight against corruption which is a major concern for a capital flight. Keywords: Capital flight, External debt, Exchange rate, GDP, Corruption, EAC DOI: 10.7176/JESD/12-10-01 Publication date:May 31st 2021

An optimization of four SARS-CoV-2 qRT-PCR assays in a Kenyan laboratory to support the national COVID-19 rapid response teams

Background: The COVID-19 pandemic relies on real-time polymerase chain reaction (qRT-PCR) for the detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), to facilitate roll-out of patient care and infection control measures. There are several qRT-PCR assays with little evidence on their comparability. We report alterations to the developers’ recommendations to sustain the testing capability in a resource-limited setting. Methods: We used a SARS-CoV-2 positive control RNA sample to generate several 10-fold dilution series that were used for optimization and comparison of the performance of the four qRT-PCR assays: i) Charité Berlin primer-probe set, ii) European Virus Archive – GLOBAL (EVAg) primer-probe set, iii) DAAN premixed commercial kit and iv) Beijing Genomics Institute (BGI) premixed commercial kit. We adjusted the manufacturer- and protocol-recommended reaction component volumes for these assays and assessed the impact on cycle threshold (Ct) values. Results: The Berlin and EVAg E gene and RdRp assays reported mean Ct values within range of each other across the different titrations and with less than 5% difference. The DAAN premixed kit produced comparable Ct values across the titrations, while the BGI kit improved in performance following a reduction of the reaction components. Conclusion: We achieved a 2.6-fold and 4-fold increase in the number of tests per kit for the commercial kits and the primer-probe sets, respectively. All the assays had optimal performance when the primers and probes were used at 0.375X, except for the Berlin N gene assay. The DAAN kit was a reliable assay for primary screening of SARS-CoV-2 whereas the BGI kit’s performance was dependent on the volumes and concentrations of both the reaction buffer and enzyme mix. Our recommendation for SARS-CoV-2 diagnostic testing in resource-limited settings is to optimize the assays available to establish the lowest volume and suitable concentration of reagents required to produce valid results