Nationalism is the identity of BJP: Modi

More than 50 million people in India do not have access to effective handwashing, putting them at a greater risk of acquiring and transmitting the novel coronavirus, according to a study.

Researchers from the Institute for Health Metrics and Evaluation (IHME) at the University of Washington in the US found that without access to soap and clean water, over 2 billion people in low- and middle-income nations -- a quarter of the world's population -- have a greater likelihood of transmitting the coronavirus than those in wealthy countries.

According to the study, published in the journal Environmental Health Perspectives, more than 50 per cent of the people in sub-Saharan Africa and Oceania lacked access to effective handwashing.

"Handwashing is one of the key measures to prevent COVID transmission, yet it is distressing that access is unavailable in many countries that also have limited health care capacity," said Michael Brauer, a professor at IHME.

The study found that in 46 countries, more than half of people lacked access to soap and clean water.

In India, Pakistan, China, Bangladesh, Nigeria, Ethiopia, Democratic Republic of the Congo, and Indonesia, more than 50 million persons in each country were estimated to be without handwashing access, according to the study.

"Temporary fixes, such as hand sanitizer or water trucks, are just that -- temporary fixes," Brauer said.

"But implementing long-term solutions is needed to protect against COVID and the more than 700,000 deaths each year due to poor handwashing access," Brauer said.

He noted that even with 25 per cent of the world's population lacking access to effective handwashing facilities, there have been "substantial improvements in many countries" between 1990 and 2019.

Those countries include Saudi Arabia, Morocco, Nepal, and Tanzania, which have improved their nations' sanitation, the researchers said.

The study does not estimate access to handwashing facilities in non-household settings such as schools, workplaces, health care facilities, and other public locations such as markets.

Earlier this month, the World Health Organization predicted 190,000 people in Africa could die of COVID-19 in the first year of the pandemic, and that upward of 44 million of the continent's 1.3 billion people could be infected with the coronavirus, the researchers said. 

In a startling revelation, cybersecurity researchers have claimed that a hacker has posted personal details of nearly 2.9 crore Indian job seekers at one of the hacking forums on the Dark Web for free.

As part of the regular sweep over the Deep Web and Dark Web, researchers from cybersecurity firm Cyble came across an interesting item, where a threat actor posted 2.3GB (zipped) file on one of the hacking forums.

"The leak actually has a lot of personal details of millions of Indians Job seekers from different states," Cyble said in its blog on Friday.

This breach includes sensitive information such as email, phone, home address, qualification and work experience etc from job seekers spanning across states, from New Delhi to Mumbai and Bengaluru. 

Cybercriminals are always on the lookout for such personal information to conduct various nefarious activities such as identity thefts, scams, and corporate espionage.

"It appears to have originated from a resume aggregator service given the sheer volume and detailed information," it added.

Cyble indexed this information at ‘AmIbreached.com; – Cyble's data breach monitoring and notification platform.

Cyble researchers have identified a sensitive data breach on the dark web where an actor has leaked personal details of nearly 29 million Indian job seekers from various states. 

"Cyble's team is still investigating this further and will be updating their article as they bring more facts to the surface,” it said in a statement.

Cyble said it has acquired the leaked data. 

The same cyber security firm earlier exposed that Bengaluru-based edtech firm Unacademy was hacked.

According to Cyble researchers, nearly 22 million Unacademy user accounts were affected and the data was dumped and sold on Dark Web.

'We would like to assure our users that no sensitive information such as financial data or location has been breached," said Hemesh Singh, Co- Founder and CTO, Unacademy, in a statement.

In April, hackers sold personal data of a whopping 267 million Facebook users for just Rs 41,500 (approximately 500 Euros) that includes email addresses, names, Facebook IDs, dates of birth and phone numbers.

No passwords of the 267 million Facebook users were exposed by the hacker, according to Cyble.

New Delhi, Fevb 10: Of the countries most at risk of importing coronavirus cases, India ranks 17th, researchers have found on the basis of a mathematical model for the expected global spread of the virus that originated in China's Wuhan area in December 2019.

So far, India has reported three coronavirus positive cases -- all from Kerala.

Among the airports in India, the Indira Gandhi International Airport in New Delhi is most at risk, followed by airports in Mumbai, Kolkata, Bengaluru, Chennai, Hyderabad and Kochi, according to the model.

The new model for predicting global novel coronavirus cases has been developed by researchers from Humboldt University and Robert Koch Institute in Germany.

"The spread of the virus on an international scale is dominated by air travel," said the study.

"Wuhan, the seventh largest city in China with 11 million residents, was the relevant major domestic air transportation hub with many connecting international flights before the city was effectively quarantined on January 23, 2020, and the Wuhan airport was closed. By then the virus had already spread to other Chinese provinces as well as other countries," it added.

The researchers said that it is possible to estimate how likely it is that the virus spreads to other areas by looking at air travel passenger numbers.

"The busier a flight route, the more probable it is that an infected passenger travels this route. Using these probabilistic concepts, we calculate the relative import risk to other airports. When calculating the import risk, we also take into account connecting flights and travel routes that involve multiple destinations," said the study.

The top 10 countries and regions at risk of importing coronavirus cases are: Thailand, Japan, South Korea, Hong Kong, Taiwan, USA, Vietnam, Malaysia, Singapore and Cambodia, according to the model.

While Thailand's national import risk is 2.1%, it is 0.2% for India, found the research.

The foundation of the model is the worldwide air transportation network (WAN) that connects approximately 4,000 airports with more than 25,000 direct connections.

The model accounts for both, the current distribution of confirmed cases in mainland China as well as airport closures that were implemented as a mitigation strategy.

This network theoretic model is based on the concept of effective distance and is an extension of a model introduced in the 2013 paper "The Hidden Geometry of Complex, Network-Driven Contagion Phenomena" published in the journal Science.

The current outbreak of the 2019-nCoV virus started in Wuhan city, Hubei province, China. While the first cases were reported as early as December 8, 2019, the outbreak gained global attention on December 31, 2019, when the World Health Organization was alerted to "several cases of pneumonia" by an unknown virus.

The new virus was soon identified as a novel coronavirus and named 2019-nCOV. It belongs to the family of viruses that include the common cold and viruses such as SARS and MERS. On January 20, 2020, it was confirmed that the coronavirus can be transmitted between humans, greatly increasing the risk of a global spread.

The death toll due to the novel coronavirus outbreak in China has increased to 811 on Sunday, surpassing that of the Severe Acute Respiratory Syndrome (SARS) epidemic in 2003.

Although about 20 countries have confirmed cases, China has accounted for about 99 per cent of those infected. The first foreign victims of the virus both died on Saturday in Wuhan.