Analysis of Covid-19 in densely populated States/Union Territories of India

2021 ◽  
pp. 363-379
Author(s):  
Mili Priya ◽  
Anshuman Kumar Singh ◽  
Abhishek Kumar ◽  
Robin Kumar ◽  
Krishnakant Chaubey

Covid-19 is one of the biggest challenges that the world has faced ever especially for countries like India which is having the second-highest population in the world. The Larger population plays the role of a catalyst for the expansion of the Covid-19 virus as maintaining necessary physical distance becomes quite difficult in these areas. In this Paper, the spread of Covid-19 has been analyzed in densely populated five states and one union territory of India i.e. Uttar-Pradesh, Maharashtra, Bihar, West Bengal, Tamilnadu, and Delhi. Along with symptoms of serious and mild Covid-19 patients, the general precautions that need to be taken by patients during quarantine days have been also discussed. The spread of Covid-19 has been analyzed based on per day change in three parameters i.e. Active Case Rate (ACR), Recovery Rate (RR), and Death Rate (DR). All these parameters have been calculated from the data available at https://www.pib.gov.in/newsite/bulletinn.aspxand the analysis has been performed on approximately six-month data taken from June to November 2020. Based on the above calculation, the peak of Covid-19, as well as variation in the Active Case Rate, Recovery Rate, and Death Rate in the respective states/union territory, has been summarized in this study.

2020 ◽  
Vol 15 (1) ◽  
pp. 46-51
Author(s):  
Luthfi Yufajjiru

The WHO have been setting Covid-19 as pandemic since it spread over the world including Indonesia. Modeling is needed to see the possibility of this case for raising awareness. This research had been conducted to build a model using the Gaussian equation for modeling the Covid-19 case in Indonesia to fulfill the model gap in previous research. The data acquisition is scraping from Line Siaga official account in Line chatting platform based on KEMENKES RI publication. This Modeling is yielding several models and RMS Error: a daily positive case, a daily recovery, a daily death, the cumulative positive case, the cumulative recovery, the cumulative death, a daily active case, and the cumulative active case. Modeling was started on 2 April 2020 and set parameters that want to be evaluated on 12 April 2020, and evaluating the model on 21 April 2020. The result shows that the infection could exceed 33275 cases and 4342 death. The RMS Error is increasing, the cumulative model generally 56% to 115%, 35% to 52% for daily cases, and 5% to 15% for death and recovery rate. From the RMS Error shows that the equation has not a good precission which affected by the community behaviour and also the goverment policy that could reshaping the curve quite significant. The other possible factor is the reliability of the data, there is dependency between positive case and amount of testing which leads to represents the cummulative positive case to not exactly the same in reality.


2021 ◽  
Vol 24 (1) ◽  
pp. 77-79
Author(s):  
Jasna Grabić ◽  
Ksenija Mačkić

Abstract The COVID-19 pandemic represented a global phenomenon during 2020. It has spread over most of the countries in the world, leading to the infection of millions of people with a death rate of 2-3% simultaneously causing a serious economic crisis. It resulted in significant pollution reduction, but effects to combat COVID-19 led to an increase of some special pollutants. In such circumstances water can be considered as a cleaning and diluting agent for pollutants, providing hygienic conditions, as well as valuable raw material for the production of a variety of goods necessary for combating COVID-19. On the contrary, water can be viewed as a potential threat in relation to the virus spreading. Within the context of the human water cycle, we have identified possible hotspots related to risks of infection spreading. It may occur when contaminated water is reused (grey and black water), or insufficiently purified water enters the environment, which might interfere with drinking water.


2017 ◽  
Vol 23 (2) ◽  
Author(s):  
NEHA BHATNAGAR

Phlebotomidae is a hematophagous dipteran fly and vector of various types of leishmaniasis in India and other parts of the world. The disease has been endemic in the various parts of the country such as Bihar, Jharkhand,West Bengal, Eastern Uttar Pradesh, some part of Andhra Pradesh, Telangana and TamilNadu.There are several reports regarding the development of several new foci of the disease in the high elevation of the Himalaya, especially in the Jammu and Kashmir and Northwest Himalaya. Characters of the external male and female genitalia are considered as the most reliable tool in the systematic work (Neglected in the most previous works) and more than 26 characters have been identified for cladistic analysis. An attempt has been made for weighing of the characters and cladistic analysis based on genetalia of sandfly.


Author(s):  
Debdatta Sarkar, Bisakha Saha Arunima Singha and Saikat Mazumder

India became the planet´s second-largest potato producing country all over the world because potato output increased from 1.3 million to over 34 million over the last six decades. Despite that, this spectacular increase makes a series of less readily apparent tendencies in the growth rates for potato production, area, and yields. When the area harvested enlarged, the growth for area harvested touched a series of peaks and valleys; as yields per hectare continuously increased, the growth rate for productivity gradually decreased to a half. In the present year, Uttar Pradesh is the major Potato producing State with 31.26% of production share, followed by West Bengal, Bihar, Gujarat, and Madhya Pradesh with 23.29 %, 13.22%, 7.43%, and 6.20% share respectively. This paper analysis is based on the driving factors behind the increase in production, area harvested, and yields. Sub-sector specific recommendations include greater eco-efficiency in cold storage.


Author(s):  
Prof. Naven Chetty ◽  
Dr. Bamise Adeleye ◽  
Abiola Olawale Ilori

The impact of climate temperature on the counts (number of positive COVID-19 cases reported), recovery, and death rates of COVID-19 cases in all of South Africa's 9 provinces was investigated. The data for confirmed cases of COVID-19 were collected for March 25 and June 30, 2020 (14 weeks) from South Africa's Government COVID-19 online resource, while the daily provincial climate temperatures were collected from the website of the South African Weather Service. Our result indicates that a higher or lower climate temperature does not prevent or delay the spread and death rates but shows significant positive impacts on the recovery rates of COVID-19 patients. Thus, it indicates that the climate temperature is unlikely to impose a strict limit on the spread of COVID-19. There is no correlation between the cases and death rates, an indicator that no particular temperature range is closely associated with a faster or slower death rate of COVID-19 patients. As evidence from our study, a warm climate temperature can only increase the recovery rate of COVID-19 patients, ultimately impacting the death and active case rates and freeing up resources quicker to enable health facilities to deal with the climbing rates of those patients who need treatment.


2021 ◽  
Vol 58 (2) ◽  
pp. 6593-6600
Author(s):  
Dr. S. PAULMURUGAN

In this paper analysis Area, Production and Productivity of Mango in Tamil Nadu, Mango is a very delicious and widely liked fruit all over the world. It is called the “King of Fruits” that makes it the most popular fruit than others. Total fruit production of India is about 90 million tonnes of which mango production is about 18 million tonnes sharing 20 % of the total fruit production. Leading mango producing states are Uttar Pradesh, Andhra Pradesh, Telangana, Karnataka, Bihar Gujrat, Maharashtra, and Tamil Nadu. Leading mango exporting states of the country are Maharashtra, Tamil Nadu, Gujrat, West Bengal, Karnataka and Andhra Pradesh.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Singh Rajendra ◽  
Singh Garima

This review deals with the species diversity of the orb-weaving spiders (Araneidae: Araneae: Arachnida) in different states of India and the union territories. A total of 256 species belonging to 49 genera of Araneidae were recorded in all states and the union territories of India except for Dadra & Nagar Haveli and Daman & Diu, out of which 99 species (38.4%) were strictly endemic. Two genera of orb-weaver spiders are highly speciose, e.g. Araneus Clerck, 1757 (39 species) and Neoscona Simon, 1864 (36 species). About 119 species of these orb-weaver spiders were recorded from Maharashtra followed by 91 species from West Bengal, 81 species from Kerala, 79 species from Karnataka, 75 species from Gujarat, 71 species from Tamil Nadu, 65 species from Assam, 63 species from Uttar Pradesh, 58 species from Uttarakhand, 57 species from Madhya Pradesh, 47 species each from Odisha and Jammu and Kashmir, 41 species from Meghalaya, 34 species from Chhattisgarh, 32 species from Goa, 31 species from Rajasthan, 29 species from Andaman and Nicobar Islands, 27 species from Andhra Pradesh, 24 species from Sikkim, 21 species each from Arunachal Pradesh, Mizoram and Tripura, and less than 20 species were recorded from other states and union territories. Seven species are distributed in more than 20 states and union territories, viz. Argiope pulchella Thorell, 1881 (23 states, 3 union territories); Nephila pilipes (Fabricius, 1793) (24 states, 2 union territory); Neoscona mukerjei Tikader, 1980 (23 states, 1 union territory); Neoscona theisi (Walckenaer, 1837) (21 states, 3 union territories); Araneus mitificus (Simon, 1886) (21 states, 3 union territories); Argiope aemula (Walckenaer, 1837) (21 states, 2 union territories) and Eriovixia excelsa (Simon, 1889) (20 states, 2 union territories). Several species of Araneidae reported from India are recorded only from one state or from the type locality. Hence, intensive and extensive faunistic surveys for these spiders are required throughou


2013 ◽  
Vol 12 ◽  
pp. 6-12 ◽  
Author(s):  
S. B. Pun

The World Bank’s 2012 Ganges Strategic Basin Assessment (GSBA) is an interesting but contentious document with a wealth of information. The basin has a population of 656 million; and 47 percent of Indians, 576 million, live in this basin. Nepal’s three bordering States of Uttar Pradesh, Bihar and West Bengal with a population of 199, 104 and 91 million respectively have a staggering combined population of 385 million, far greater than that of the USA. The Ganges basin has the world’s highest population density and, as a consequence, poverty level borders that of Sub-Sahara. This is India’s Hindu cow belt where water is increasingly getting scarce.With the strategic resource, water, getting scarce in the Ganges, the Bank’s GSBA has some startling findings: storages in Nepal store ‘significantly little’ water, so flood control in India is ‘very limited’. Storages in Nepal can ‘double lean season flows’, but agricultural productivity in India is ‘currently very low’ from such augmented flows. The Bank believes that ‘hydropower and trade’ is ‘significant’ and negotiation ‘simpler than previously thought’. The Bank recommends that Nepal push her hydropower development on a fast track. Many believe it is not the ‘significant’ power trade that counts. What really counts is whether or not the traded Energy will be at a Significant Rate. By pushing Nepal’s significant hydropower, the Bank is advocating a policy whereby India avail free lean season water stored in Nepal’s fertile valleys submerged for perpetuity. I n the Bank’s opinion, as India’s agricultural productivity is currently very low and flood control very limited, Nepal’s downstream benefits are also very low. Nepal is, thus, very disappointed with the Bank’s such Indo-centric GSBA report.Hydro Nepal: Journal of Water, Energy and EnvironmentVol. 12, 2013, JanuaryPage: 6-12DOI: http://dx.doi.org/10.3126/hn.v12i0.9025Uploaded Date : 10/28/2013 


Sign in / Sign up

Export Citation Format

Share Document