Consider, that: Urban Indians : drums from the cities
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Urban Indians : drums from the cities - matchless
Mohali urban becomes hotspot with 3, Covid cases in 14 days Mohali urban becomes hotspot with 3, Covid cases in 14 days During the second Covid wave, Mohali urban , Dhakoli and Kharar have emerged as areas reporting the maximum number of cases. Dhakoli was declared as a containment zone. Express photo by Jasbir Malhi Mohali urban consisting peripheral areas of the city has become a vulnerable point for the spread of Covid infection. In the first 14 days of this month, a total of 3, positive cases have been reported from the area, the highest number of cases in such a short span. During the second Covid wave, Mohali urban , Dhakoli and Kharar have emerged as areas reporting the maximum number of cases. An official from the health department official said that in the city people do not take precautions which is one of the biggest reasons for the spread.When the novel coronavirus struck cities, their plight became visible in a way it rarely had before. Existing inequities also worsened the economic, social and psychological hardships of women who suffered from the burden of increased unpaid domestic and care work, and grappled with gender-based violence.
As we move into the post-pandemic world, it is critical for this crisis to be an impetus for city authorities to rectify these problems and foster a more inclusive society. Social distancing and frequent handwashing thus became difficult in these areas.
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Moreover, with greater numbers of people using the facilities, slum resources were stretched thin. Due to abject living conditions, residents of these slums are also prey to frums health burdens, including respiratory and lung illnesses, which further magnified the damaging impact of the pandemic. This experience underlines the importance of revising archaic regulations and market-constraining policies, such as zoning and low caps on Floor Space Index FSIand provisioning affordable housing for all.
Second, lack of data meant that schemes to help vulnerable groups suffered from poor targeting. Apart from limited census numbers on low-income migrants, official information on this population segment is almost non-existent; in the past, researchers used proxies such as railway data to gauge the movement of people. Similarly, multiple link confirm that the pandemic has led to a disproportionate fall in the labour participation rate FLPR of women in the country.
Inadequate data leads to misrepresentation of the public services required in cities, thereby reducing their accessibility. Since several migrants vote in their hometowns, they are classified as natives of those places, depriving them of the claims that city residents are entitled to, including food rations and other benefits. Drus, migrants walked hundreds of kilometres to their villages.
Collecting and using data on migrants and slum-dwellers for better policy-making can go a long way in ensuring higher standards of living for them. Pre-pandemic, these migrants served food in restaurants, drove cars for the wealthy, and performed menial tasks in office buildings.
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These are vital functions. But schemes for them are designed solely from an elite perspective; as a result, the issues faced by marginalized sections of the population continue. Hence, they possess few social safety nets.
It is only recently that the policy needle shifted towards conceptualizing an urban unemployment subsidyakin to the rural Mahatma Gandhi National Rural Employment Guarantee Scheme, with slum-dwellers as key beneficiaries. Involving slum occupants in decision-making processes can boost economic growth and quality of life. They also contribute to keeping urban spaces ticking, but are largely not involved in policy-making processes.]
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