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

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

doi:10.21203/rs.3.rs-35809/v1

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Temperature doesn't directly affect the number of cases. Significant relationship of negative correlation between the average environmental temperature and exponential growth rates of the infected cases (8) . However, some of the limitations should be noted.…”

Section: Discussion-mentioning

confidence: 94%

<strong>Dependency of COVID-19 Spread on Temperature in Rajasthan</strong>

Solanki¹

2020

Preprint

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To evaluate the dependency of COVID-19 on the temperature, by analyzing secondary data, considering temperature as the only dependent environmental factor. Taking the mean temperature and number of cases from 02nd March to 26th May 2020. We find out the relationship between the number of cases of COVID-19 and mean temperature in Rajasthan by finding the mean and percentage increase of both, and we evaluate that there is no any effect of temperature on coronavirus disease cases in Rajasthan there may be some other environmental factor and extraneous factors which may affect the number of cases.

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Section: Discussion-mentioning

confidence: 94%

<strong>Dependency of COVID-19 Spread on Temperature in Rajasthan</strong>

Solanki¹

2020

Preprint

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“…To address this, we present an integrated COVID-19 risk assessment and mapping (CRAM) framework, wherein we used hazard and vulnerability parameters linked with the COVID-19 contagion, to identify the areas that are under different levels of risk. COVID-19 risk (C19Ri) indicators have been proposed based on the current knowledge of the disease infection, lethality, and spread 25 . The results of the assessment identi ed areas that are under very high-risk category, e.g., NE and SE zone wards of the JMC, Jaipur India.…”

Section: Conclusion and Limitationsmentioning

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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“…Though from observations, it has been found that specific age-groups and people that already have certain pulmonary and cardiovascular issues are particularly more vulnerable to the lethality of this virus (Santesmasses et al 2020). Even the environmental factors such as temperature are not showing any significant role in restricting the spread of this virus in India (Meraj et al 2020). Worldwide, people dying from this disease as of 24 June 2020 are 480210, and confirmed positive cases have reached to 9,376,431.…”

Section: Introductionmentioning

confidence: 99%

National Health-GIS Portal-A Conceptual Framework for Effective Epidemic Management and Control in India

Ranga¹,

Pani²,

Kanga³

et al. 2020

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This short note proposes a national Geographic Information System (GIS) - based health infrastructure to deal with epidemics and pandemics. Currently, there is no pan-India health infrastructure available that can compile, update, and report the spread of epidemic diseases. It not only curtails the opportunity of finding the real-time data on the spatial distribution of a disease but prevents one to inquire into the causes of the disease through epidemiological analysis. The proposed infrastructure in this study is a pan-India one and can broadly be divided into two parts, hotspot mapping and accessibility to services. In the first part, hospitals are proposed to act as nodes of data collection, sending data to a national GIS portal. This portal shall have the capabilities of plotting the data using map rendering services such as Google and Bing Maps. This way, hotspots can be visualized in no time, benefitting the government and common citizenry alike. The second part deals with the accessibility of citizenry to a wide range of services, i.e., healthcare services, grocery outlets, emergency services, baby food, and many other essential services of the day to day life. In order to implement this, we propose that the government need to enforce a mandatory submission of locational coordinates of all Goods and Services Tax (GST) enrolled service providers. Once the coordinates are submitted, the government can effectively control the opening and closing of services and inform the citizenry at the same time. The proposed infrastructure is going to help deal with the extraordinary situations during epidemic and pandemics similar to what the world is currently facing in the form of Corona Virus Disease 2019 (COVID-19). Furthermore, the infrastructure can be scaled up or down as per the spread of a disease. The health-GIS platform proposed in this concept paper, shall help India in controlling and managing the epidemic more efficiently.

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

Cited by 6 publications

References 26 publications

<strong>Dependency of COVID-19 Spread on Temperature in Rajasthan</strong>

<strong>Dependency of COVID-19 Spread on Temperature in Rajasthan</strong>

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

National Health-GIS Portal-A Conceptual Framework for Effective Epidemic Management and Control in India

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