Reporting the management of COVID-19 threat in India using remote sensing and GIS based approach

Kanga, Shruti; Sudhanshu,; Meraj, Gowhar; Farooq, Majid; Nathawat, Mahendra Singh; Singh, Suraj Kumar

doi:10.1080/10106049.2020.1778106

Cited by 29 publications

(20 citation statements)

References 8 publications

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“…For that, the severity of risk-based prioritization of areas needs to be formulated along with the social distancing so that economy does not suffer irreparably (Kanga et al 2020a). Various activities that can be allowed in different risk zones have been described by Kanga et al (2020b). Further, India is already prone to various types of natural disasters.…”

Section: Recommendationsmentioning

confidence: 99%

Coronavirus pandemic versus temperature in the context of Indian subcontinent: a preliminary statistical analysis

Meraj

Farooq

Singh

et al. 2020

Environ Dev Sustain

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The novel coronavirus (COVID-19) has unleashed havoc across different countries and was declared a pandemic by the World Health Organization. Since certain evidences indicate a direct relationship of various viruses with the weather (temperature in particular), the same is being speculated about COVID-19; however, it is still under investigation as the pandemic is advancing the world over. In this study, we tried to analyze the spread of COVID-19 in the Indian subcontinent with respect to the local temperature regimes from March 9, 2020, to May 27, 2020. To establish the relation between COVID-19 and temperature in India, three different ecogeographical regions having significant temperature differences were taken into consideration for the analysis. We observed that except Maharashtra, Rajasthan and Kashmir showed a significantly positive correlation between the number of COVID-19 cases and the temperature during the period of study. The evidences based on the results presented in this research lead us to believe that the increasing temperature is beneficial to the COVID-19 spread, and the cases are going to rise further with the increasing temperature over India. We, therefore, conclude that the existing data, though limited, suggest that the spread of COVID-19 in India is not explained by the variation of temperature alone and is most likely driven by a host of other factors related to epidemiology, socioeconomics and other climatic factors. Based on the results, it is suggested that temperature should not be considered as a yardstick for planning intervention strategies for controlling the COVID-19 pandemic.

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Section: Recommendationsmentioning

confidence: 99%

Coronavirus pandemic versus temperature in the context of Indian subcontinent: a preliminary statistical analysis

Meraj

Farooq

Singh

et al. 2020

Environ Dev Sustain

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“…Overall, we propose a detailed management strategy shown in Table 3 for all the areas under different risk zones shown in Fig. 5 (c) 23 .…”

Section: Covid-19 Risk Analysis Of the Study Area Under Jmc Jaipurmentioning

confidence: 99%

Risk assessment to curb COVID-19 contagion: A preliminary study using remote sensing and GIS

Kanga

Meraj²,

Sudhanshu

et al. 2020

Preprint

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Globally, COVID-19 pandemic has become a threat to humans and to the socio-economic systems they have developed since the industrial revolution. Hence, governments and stakeholders are calling for strategies that could help to restore the normalcy while dealing with this pandemic effectively. Since, till now, the disease is yet to have a cure; therefore, only risk-based decision-making can help governments to achieve a solution that is sustainable in the long term. To help the decision-makers to explore viable actions, we here propose a risk assessment framework for analyzing COVID-19 risk to areas, using integrated hazard and vulnerability components associated with this pandemic for effective risk mitigation. The study is carried on a region administrated by Jaipur municipal corporation (JMC), India. Based on the current understanding of this disease, we hypothesized different COVID-19 risk indices (C19Ri) of the wards of JMC such as proximity to hotspots, total population, population density, availability of clean water and associated land use/ land cover, are related with COVID-19 contagion and calculated them in a GIS-based multi-criteria risk reduction method. The results showed disparateness in COVID-19 risk areas with higher risk in north-eastern and south-eastern zone wards within the boundary of JMC. We proposed to prioritize wards that are under higher risk zones for intelligent decision-making regarding COVID-19 risk reduction through appropriate management of resources-related policy consequences. This study aims to serve as a baseline study to be replicated in other parts of the country or world to eradicate the threat of COVID-19 effectively.

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“…It will immediately alleviate the liability on its weak healthcare sector. For that, the severity of risk-based prioritization of areas needs to be formulated along with the social distancing so that economy does not suffer irreparably (Kanga et al 2020). Various activities that can be allowed in different risk zones have been described by Kanga et al 2020.…”

Section: Recommendationsmentioning

confidence: 99%

“…Hence, we conclude that unless several other in uencing factors are not taken into cognizance, temperature alone cannot be used as a criterion for devising policy-making for curbing COVID-19 spread. We recommend the use of risk-based COVID-19 mapping for attening the COVID-19 contagion curve, which at present seems to be the only viable solution available for containment of the virus as has been proposed by Kanga et al 2020.…”

Section: Conclusion and Limitationsmentioning

confidence: 99%

Coronavirus Pandemic vs. Temperature in the context of Indian Subcontinent – A preliminary statistical analysis

Meraj¹,

Farooq²,

Singh

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

The novel coronavirus (COVID-19) has unleashed havoc across different countries and was declared a pandemic by the World Health Organization. Since certain evidences indicate a direct relationship of various viruses with the weather (temperature in particular), the same is being speculated about COVID-19; however, it is still under investigation as the pandemic is advancing the world over. In this study, we tried to analyze the spread of COVID-19 in the Indian sub-continent with respect to the local temperature regimes from 9 March, 2020, to 27 May, 2020. To establish the relation between COVID-19 and temperature in India, three different eco-geographical regions having significant temperature differences were taken into consideration for the analysis. We observed that except Maharashtra, Rajasthan and Kashmir showed a significantly positive correlation between the number of COVID-19 cases and the temperature during the period of study. The evidences based on the results presented in this research lead us to believe that the increasing temperature is beneficial to the COVID-19 spread, and the cases are going to rise further with the increasing temperature over India. We, therefore, conclude that the existing data, though limited, suggests that the spread of COVID-19 in India is not explained by the variation of temperature alone and is most likely driven by a host of other factors related to epidemiology, socio-economics and other climatic factors. Based on the results, it is suggested that temperature should not be considered as a yardstick for planning intervention strategies for controlling the COVID-19 pandemic.

show abstract

Reporting the management of COVID-19 threat in India using remote sensing and GIS based approach

Cited by 29 publications

References 8 publications

Coronavirus pandemic versus temperature in the context of Indian subcontinent: a preliminary statistical analysis

Coronavirus pandemic versus temperature in the context of Indian subcontinent: a preliminary statistical analysis

Risk assessment to curb COVID-19 contagion: A preliminary study using remote sensing and GIS

Coronavirus Pandemic vs. Temperature in the context of Indian Subcontinent – A preliminary statistical analysis

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