Correction to: Social Engineering Attacks During the COVID-19 Pandemic.

[This corrects the article DOI: 10.1007/s42979-020-00443-1.].

Social Engineering Attacks During the COVID-19 Pandemic.

The prevailing conditions surrounding the COVID-19 pandemic has shifted a variety of everyday activities onto platforms on the Internet. This has led to an increase in the number of people present on these platforms and also led to jump in the time spent by existing participants online. This increase in the presence of people on the Internet is almost never preceded by education about cyber-security and the various types of attacks that an everyday User of the Internet may be subjected to. This makes the prevailing situation a ripe one for cyber-criminals to exploit and the most common type of attacks made are Social Engineering Attacks. Social Engineering Attacks are a group of sophisticated cyber-security attacks that exploit the innate human nature to breach secure systems and thus have some of the highest rate of success. This paper delves into the particulars of how the COVID-19 pandemic has set the stage for an increase in Social Engineering Attacks, the consequences of this and some techniques to thwart such attacks.

Correction: Assessment of Universal Healthcare Coverage in a District of North India: A Rapid Cross-Sectional Survey Using Tablet Computers.

[This corrects the article DOI: 10.1371/journal.pone.0157831.].

Evaluation of publicly financed and privately delivered model of emergency referral services for maternal and child health care in India.

BACKGROUND: Emergency referral services (ERS) are being strengthened in India to improve access for institutional delivery. We evaluated a publicly financed and privately delivered model of ERS in Punjab state, India, to assess its extent and pattern of utilization, impact on institutional delivery, quality and unit cost. METHODS: Data for almost 0.4 million calls received from April 2012 to March 2013 was analysed to assess the extent and pattern of utilization. Segmented linear regression was used to analyse month-wise data on number of institutional deliveries in public sector health facilities from 2008 to 2013. We inspected ambulances in 2 districts against the Basic Life Support (BLS) standards. Timeliness of ERS was assessed for determining quality. Finally, we computed economic cost of implementing ERS from a health system perspective. RESULTS: On an average, an ambulance transported 3-4 patients per day. Poor and those farther away from the health facility had a higher likelihood of using the ambulance. Although the ERS had an abrupt positive effect on increasing the institutional deliveries in the unadjusted model, there was no effect on institutional delivery after adjustment for autocorrelation. Cost of operating the ambulance service was INR 1361 (USD 22.7) per patient transported or INR 21 (USD 0.35) per km travelled. CONCLUSION: Emergency referral services in Punjab did not result in a significant change in public sector institutional deliveries. This could be due to high baseline coverage of institutional delivery and low barriers to physical access. Choice of interventions for reduction in Maternal Mortality Ratio (MMR) should be context-specific to have high value for resources spent. The ERS in Punjab needs improvement in terms of quality and reduction of cost to health system.