In this article, we investigate the impact of COVID-19 through screening and surveillance methods adopted in India, as well as the potential health system, social, political, and economic consequences. The research was done in a chronological manner, and data was collected between 30 January 2020 till 12 June 2020. Initial containment measures, including point of entry screenings and testing protocols, appeared insufficient. However, testing capacity was gradually expanded after the commencement of a nation-wide lockdown. Modeling predictions have shown varying results on the emergence of cases depending on the infectiousness of asymptomatic individuals, with a peak predicted in mid-July having over two million cases. The country also faces risks of the economic plunge by losing approximately 4% of its gross domestic product, due to containment measures and reduction in goods importation. The low public health expenditure combined with a lack of infrastructure and low fiscal response implies several challenges to scale up the COVID-19 response and management. Therefore, an emergency preparedness and response plan is essential to integrate into the health system of India.

A global response to the rapid spread of the 2019 novel coronavirus disease (COVID-19) is imperative in order to reduce mortality and morbidity as well as preventing a country’s health system from collapse. Singapore showed exceptional leadership in the containment of the spread of the virus, however through April 2020 the country experienced exponential growth in the number of infections, particularly migrant workers living in dormitories. The following historical case study provides an overview of Singapore’s country profile, their healthcare system and the country’s non pharmaceutical measures taken to mitigate and contain the spread of COVID-19 in the first few months of the pandemic. We explore the impact COVID-19 had on Singapore’s economy at that time and the implications of the resultant social and political disruptions. We conclude our study by using mathematical modelling to explore confirmed COVID-19 cases in Singapore’s local community and those living in dormitories and use this data to forecast the progression of the epidemic in Singapore given the non-pharmaceutical interventions in place at that time. Our results indicate the COVID-19 outbreak in Singapore increased 3-fold the initial doubling rate of 22.5 days in the first 2 months of the outbreak to 6.7 days in the 5th month; We note a faster doubling rate of 4.9 days for those living in dormitories compared to a doubling rate of 13.5 days for the rest of the community.

The outbreak of the novel coronavirus SARS-CoV-2 and the disease it causes, COVID-19, which emerged in 2019, was identified by the World Health Organization as a public health emergency of international concern. Brazil actively responded to contain the virus. This case study aims to examine Brazil’s response to COVID-19 by investigating the country’s actions and reflecting upon the outcomes throughout January and March 2020. The data collection strategy included gathering data from the country’s intergovernmental organization’s official website, epidemiological bulletins, and news reports, guided by intersectoral and interdisciplinary themes. Although the highest incidence rates were in the most rich and populated region in Brazil, it was the poorest region that had the highest case fatality rate. Nevertheless, Brazil took several non-pharmaceutical measures to control and mitigate the spread of the virus. However, the strategy seems to have failed to consider regional and social inequalities. The actions of the health minister were undermined by a conflicting discourse between the minister and the president. The outbreak of COVID-19 added an extra burden on the country’s healthcare system and the existing economic crises; exacerbated the inherent social, political, and economic challenges; and exposed the country’s contradictions.

The coronavirus disease 2019 (COVID-19) pandemic has affected millions of people worldwide. It brought about the implementation of various measures and restrictions at a global level. Iran has been one of the countries with the highest rates of COVID-19 cases. This study reviews the initial outbreak of COVID-19 in Iran and examines the mitigation strategies adopted by the country. Moreover, it reports the socioeconomic challenges faced by the authorities during the efforts to contain the virus. A transdisciplinary literature review was carried out and a political measures timeline was constructed. A broad overview of the initial phase of the COVID-19 outbreak in Iran is presented, starting from the first confirmed case on 19 February 2020 until April 2020. The results of this epidemiological and socioeconomic case review of Iran suggests that the political measures undertaken by the Republic of Iran contributed to the decrease of the prevalence of COVID-19. However, due to the existing financial bottleneck, Iran has faced limited health system resources. Therefore, the response was not sufficient to restrict the spread and the efficient handling of the virus in the long-term.

Since 2006 and until 2020, extensively drug-resistant tuberculosis (XDR-TB) was defined as multidrug-resistant tuberculosis (MDR-TB) with additional resistance to any fluoroquinolones and any second-line injectable drugs (SLID). This definition may have lost clinical relevance after WHO introduced its new treatment recommendations in 2019 that downgraded SLID role, but a clinically significant evidence for an updated definition is still lacking.