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Threats of unplanned movement of migrant workers for sudden spurt of COVID-19 pandemic in India

机译:移民工人突然突然突出的印度Covid-19大流行突发的威胁

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摘要

People migrate from one region to another, attracted by many push and pull factors to develop their standard of living. The unplanned movement during the nationwide lockdown period of COVID-19 pandemic has become a painful threat to migrant workers in India and abroad. The central and state governments have jointly arranged trains to repatriate these migrants to their own homeland. However, the lack of proper planning, infrastructure and precautions has increased the spread of positive cases compared to the pre-return period. Thus, to show the previous and present positive cases migrants, we selected AR (Auto Regressive) and MA (Moving Average) models that finally put together and established the ARIMA model to estimate the increase in the number of patients affected (Average 72%) in those states (Jharkhand, Bihar, West Bengal and Odisha) following the start of the SHRAMIK special train. So this situation causes rapid, drastic changes to become more positive from the negative. The government should therefore implement region wise policy strategy in the various sectors to ensure that every human being has proper shelter, food, medicine and digital contact surveillance technology (Aragyau Shetu) so that the rate of decline in these states will differ in the coming days.
机译:人们从一个地区迁移到另一个地区,吸引了许多推动和拉动因素来发展他们的生活水平。 Covid-19大流行期间的全国范围内的无计划运动已经成为印度和国外的农民工的痛苦威胁。中央和州政府共同安排了火车,以遣返他们自己的家园的这些移民。但是,与返回前期间,缺乏适当的规划,基础设施和预防措施增加了积极病例的传播。因此,为了展示之前和目前的积极案例移民,我们选择了ar(自动回归)和MA(移动平均)模型,最终放在一起,并建立了Arima模型来估计受影响的患者数量的增加(平均72%)在Shramik特殊列车开始后,在那些国家(Jharkhand,Bihar,West Bengal和Otisha)之后。因此这种情况导致快速,剧烈的变化从负面变得更积极。因此,政府应在各个部门实施地区明智的政策战略,以确保每个人都有适当的住所,食品,医学和数字接触监测技术(Aragyau Shetu),以便在未来的日子里造成这些国家的下降率。

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