Maji Avijit, Choudhari Tushar, Sushma M B
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India.
Transp Res Interdiscip Perspect. 2020 Sep;7:100187. doi: 10.1016/j.trip.2020.100187. Epub 2020 Aug 3.
Nationwide lockdown for COVID-19 created an urgent demand for public transportation among migrant workers stranded at different parts of India to return to their native places. Arranging transportation could spike the number of COVID-19 infected cases. Hence, this paper investigates the potential surge in confirmed and active cases of COVID-19 infection and assesses the train and bus fleet size required for the repatriating migrant workers. The expected to repatriate migrant worker population was obtained by forecasting the 2011 census data and comparing it with the information reported in the news media. A modified susceptible-exposed-infected-removed (SEIR) model was proposed to estimate the surge in confirmed and active cases of COVID-19 patients in India's selected states with high outflux of migrants. The developed model considered combinations of different levels of the daily arrival rate of migrant workers, total migrant workers in need of transportation, and the origin of the trip dependent symptomatic cases on arrival. Reducing the daily arrival rate of migrant workers for states with very high outflux of migrants (i.e., Uttar Pradesh and Bihar) can help to lower the surge in confirmed and active cases. Nevertheless, it could create a disparity in the number of days needed to transport all repatriating migrant workers to the home states. Hence, travel arrangements for about 100,000 migrant workers per day to Uttar Pradesh and Bihar, about 50,000 per day to Rajasthan and Madhya Pradesh, 20,000 per day to Maharashtra and less than 20,000 per day to other states of India was recommended.
因新冠疫情实施的全国封锁,使得滞留在印度各地的农民工迫切需要公共交通以便返乡。安排交通可能会增加新冠感染病例数。因此,本文研究了新冠感染确诊病例和现有病例可能出现的激增情况,并评估了遣返农民工所需的火车和巴士车队规模。通过预测2011年人口普查数据并与新闻媒体报道的信息进行比较,得出了预期要遣返的农民工人数。提出了一种改进的易感-暴露-感染-清除(SEIR)模型,以估计印度选定的农民工流出量大的邦中新冠患者确诊病例和现有病例的激增情况。所开发的模型考虑了农民工日到达率的不同水平、需要交通的农民工总数以及行程出发地有症状病例的不同组合。对于农民工流出量非常大的邦(即北方邦和比哈尔邦),降低农民工的日到达率有助于降低确诊病例和现有病例的激增。然而,这可能会导致将所有返乡农民工运送至家乡邦所需天数出现差异。因此,建议每天安排约10万名农民工前往北方邦和比哈尔邦,约5万名前往拉贾斯坦邦和中央邦,2万名前往马哈拉施特拉邦,每天前往印度其他邦的人数少于2万。