According to reports, the passengers travelling on the Kerala Express train on Monday evening complained of uneasiness and by the time the train reached Jhansi, they had expired.
Kerala Express (File Photo: IANS)
With heatwave conditions prevailing in North India, four passengers on the Kerala Express have reportedly died in Jhansi due to extreme heat while one passenger has been hospitalised in a critical condition.
According to reports, the passengers travelling on the Kerala Express train on Monday evening complained of uneasiness and by the time the train reached Jhansi, they had expired, according to an IANS report.
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The dead bodies were taken off at Jhansi railway station and sent for post mortem.
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All the passengers were travelling from Agra to Coimbatore and were seated in S-8 and S-9 coaches.
Divisional Railway Manager Neeraj Ambisht said that the bodies would be sent to Coimbatore on Tuesday after post mortem.
The deceased were a part of a 68-member group that was returning after visiting Varanasi and Agra. “Shortly after we left Agra, the heat became unbearable and some people started complaining of breathing problems and uneasiness. Before we could get some help, they collapsed,” said a member of the group.
The deceased have been identified as Bundur Palanisame, 80, Bal Krishna Ramaswami, 69, Chinnare, 71, and Dhiva Nai, 71.
Subbaraiyya, 71, has been hospitalised in Jhansi.
The central and western parts of the country are likely to continue experiencing heatwave conditions till June 15, according to the weather department.
As per India Meteorological Department (IMD), heatwave is likely to prevail over Rajasthan, Madhya Pradesh, north Chhattisgarh and south Uttar Pradesh.
The mercury has touched 48 degrees Celsius in various of the parts of the country this summer.
The IMD had earlier this month issued the highest “red” alert for some parts of northern India including the national capital.
Besides Delhi, the alert was issued for Punjab, Haryana, Chandigarh, Rajasthan and some parts of Uttar Pradesh.
(With inputs from IANS)
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