scholarly journals Is India heading towards a new high? : An optimistic approach to estimate ending life-cycle and cumulative cases by the end of the major COVID-19 pandemic wave in India and some of its states

Author(s):  
P. Gupta ◽  
K. K. Sharma ◽  
S.D. Joshi ◽  
S. Goyal

AbstractProjecting the COVID-19 curve parameters such as ending-lifecycle and cumulative cases are helpful in guiding the policy makers to mitigate the outbreak. However, overestimating these parameters may put the public and policy makers in a muddle. In this paper, an optimistic scenario is simulated, wherein the dynamics of the COVID-19 curve is allowed to spread to such an extent that the projections of the COVID-19 parameters do not take excessively high values. Based on this scenario, the ending life-cycle and cumulative cases for India and some of its states, are predicted. Our study, suggests that the fall of the peak amplitude (95%) of the major COVID-19 wave in India may take place by the 8th of September 2020 with a total count of 655000 cases. Simulation results, also indicate that Maharashtra, Tamil Nadu, Delhi, Gujarat, Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan may end up with 263700, 18140, 50600, 21130, 24420, 44170, 27080, and 28200 cumulative cases respectively.

Author(s):  

Abstract A new distribution map is provided for Aceria cajani Channabasavanna. Acari: Eriophyidae. Host: pigeon peas (Cajanus cajan). Information is given on the geographical distribution in Asia (Bangladesh, China, Guangdong, Guangxi, Hainan, Yunnan, India, Andhra Pradesh, Bihar, Delhi, Gujarat, Haryana, Karnataka, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh, West Bengal, Myanmar, Nepal, Sri Lanka and Thailand).


Author(s):  

Abstract A new distribution map is provided for Hoplolaimus indicus Sher (Chromadorea: Tylenchida: Hoplolaimidae). Hosts: polyphagous. Information is given on the geographical distribution in Africa (Ethiopia, Ghana, Libya) and Asia (Bangladesh, China, Fujian, India, Andhra Pradesh, Assam, Bihar, Delhi, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Odisha, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, Uttarakhand, West Bengal, Iran, Nepal and Pakistan).


2019 ◽  
Vol 8 (4) ◽  
pp. 2545-2548

Food Problem in Indian Economy is acute. Food Problem in India is not only concerned with the shortage of food but also has a deficiency of nutrition. The 2015 Global Hunger Index ranked India twentieth amongst leading international locations with a severe hunger state of affairs. With food problem, malnutrition also places a heavy burden on India in terms of deaths, disease and direct impact on productivity. There are several programs in India to address this concern, the first initiative was Amma Unavagam food subsidization program run by the state of Tamil Nadu has won popular support and brought a new dimension in food security. Several states started the program with different dimension viz. Rajasthan, Madhya Pradesh, Odisha, Andhra Pradesh, Karnataka. There are other states which are planning to adopt this model including Uttar Pradesh. The present research analyzes the success of state programs that can be replicated to throughout India. The study discusses the implications for policy makers for successful implementation of the program. The study also highlights the possible limitations and future research.


Author(s):  
Usha Ram ◽  
Faujdar Ram

Globally, countries have followed demographic transition theory and transitioned from high levels of fertility and mortality to lower levels. These changes have resulted in the improved health and well-being of people in the form of extended longevity and considerable improvements in survival at all ages, specifically among children and through lower fertility, which empowers women. India, the second most populous country after China, covers 2.4% of the global surface area and holds 18% of the world’s population. The United Nations 2019 medium variant population estimates revealed that India would surpass China in the year 2030 and would maintain the first rank after 2030. The population of India would peak at 1.65 billion in 2061 and would begin to decline thereafter and reach 1.44 billion in the year 2100. Thus, India’s experience will pose significant challenges for the global community, which has expressed its concern about India’s rising population size and persistent higher fertility and mortality levels. India is a country of wide socioeconomic and demographic diversity across its states. The four large states of Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan accounted for 37% of the country’s total population in 2011 and continue to exhibit above replacement fertility (that is, the total fertility rate, TFR, of greater than 2.1 children per woman) and higher mortality levels and thus have great potential for future population growth. For example, nationally, the life expectancy at birth in India is below 70 years (lagging by more than 3 years when compared to the world average), but the states of Uttar Pradesh and Rajasthan have an average life expectancy of around 65–66 years. The spatial distribution of India’s population would have a more significant influence on its future political and economic scenario. The population growth rate in Kerala may turn negative around 2036, in Andhra Pradesh (including the newly created state of Telangana) around 2041, and in Karnataka and Tamil Nadu around 2046. Conversely, Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan would have 764 million people in 2061 (45% of the national total) by the time India’s population reaches around 1.65 billion. Nationally, the total fertility rate declined from about 6.5 in early 1960 to 2.3 children per woman in 2016, a result of the massive efforts to improve comprehensive maternal and child health programs and nationwide implementation of the national health mission with a greater focus on social determinants of health. However, childhood mortality rates continue to be unacceptably high in Uttar Pradesh, Bihar, Rajasthan, and Madhya Pradesh (for every 1,000 live births, 43 to 55 children die in these states before celebrating their 5th birthday). Intertwined programmatic interventions that focus on female education and child survival are essential to yield desired fertility and mortality in several states that have experienced higher levels. These changes would be crucial for India to stabilize its population before reaching 1.65 billion. India’s demographic journey through the path of the classical demographic transition suggests that India is very close to achieving replacement fertility.


2021 ◽  
Vol 66 (2) ◽  
Author(s):  
Bhim , Singh

In the present study, spatial compound growth rates were estimated to know the growth pattern and instability in the area, production, and productivity of sugarcane in major sugarcane growing states of India. A secondary time series data of major sugarcane producing states of India like Uttar Pradesh, Maharashtra, Karnataka, Tamil Nadu, Bihar, Andhra Pradesh, Haryana, Gujarat, Punjab, Madhya Pradesh, and Odisha for the period thirty years from 1990-91 to 2019-20 have been utilized for the present study. The compound growth rates were computed with the help of exponential function, and instability/variability has been computed by using techniques of co-efficient of variation and Cuddy Della-Valle Index method. Student’s t-test was applied to check the significant differences in area, production, and productivity trends using compound growth rates (CGR). CGR of sugarcane production was 1.13 per centpercent in India during the study period with a significant growth rate in area (1.12%) and yield (0.39%). The statistically significant instability in sugarcane production was high at 9.67 percent than area (7.20%) and yield (5.26%) in the study period. The state-wise compound growth rate of sugarcane production was positively significant in Madhya Pradesh (5.31%), Bihar (3.65%), Maharashtra (3.39%), Karnataka (1.42%), and Uttar Pradesh (1.36%). The highest negative growth rate was observed in Odisha (-5.45%) and Andhra Pradesh (-1.63%). The instability of sugarcane production was highest at 44.06 percent than area (36.66%) in Odisha and yield (14.80%) in Madhya Pradesh.


Author(s):  
P. F. Cannon

Abstract A description is provided for Ravenelia hobsonii. Some information on its dispersal and transmission and conservation status is given, along with details of its geographical distribution (Bangladesh, India (Andhra Pradesh, Assam, Bihar, Chhattisgarh, Karnataka, Madhya Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh, West Bengal), Japan, Sri Lanka and Taiwan) and hosts (Pongamia pinnata syn. Pongamia glabra).


Author(s):  

Abstract A new distribution map is provided for Phyllotreta chotanica Duvivier Coleoptera: Chrysomelidae, Alticinae radish flea beetle. Attacks Cruciferae, especially cabbage and radish. Information is given on the geographical distribution in ASIA, Bangladesh, Burma, India, Andhra Pradesh, Bihar, Haryana, Karnataka, Madhya Pradesh, Maharashtra, Rajasthan, Sikkim, Tamil Nadu, Uttar Pradesh, West Bengal, Malaysia, Sabah, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, Vietnam.


2021 ◽  
Author(s):  
Christopher T Leffler ◽  
Joseph D. Lykins ◽  
Edward Yang

Background. As both testing for SARS Cov-2 and death registrations are incomplete or not yet available in many countries, the full impact of the Covid-19 pandemic is currently unknown in many world regions. Methods. We studied the Covid-19 and all-cause mortality in 18 Indian states (combined population of 1.26 billion) with available all-cause mortality data during the pandemic for the entire state or for large cities: Gujarat, Karnataka, Kerala, Maharashtra, Tamil Nadu, West Bengal, Delhi, Madhya Pradesh, Andhra Pradesh, Telangana, Assam, Bihar, Odisha, Haryana, Rajasthan, Himachal Pradesh, Punjab, and Uttar Pradesh. Excess mortality was calculated by comparison with available data from years 2015-2019. The known Covid-19 deaths reported by the Johns Hopkins University Center for Systems Science and Engineering for a state were assumed to be accurate, unless excess mortality data suggested a higher toll during the pandemic. Data from Uttar Pradesh were not included in the final model due to anomalies. Results. In several regions, fewer deaths were registered in 2020 than expected. The excess mortality in Mumbai (in Maharashtra) in 2020 was 137.0 / 100K. Areas in Tamil Nadu, Kolkata (in West Bengal), Delhi, Madhya Pradesh, Karnataka, Haryana, and Andhra Pradesh saw spikes in mortality in the spring of 2021. Conclusions. The pandemic-related mortality through June 30, 2021 in 17 Indian states was estimated to be 132.9 to 194.4 per 100,000 population. If these rates apply to India as a whole, then between 1.80 to 2.63 million people may have perished in India as a result of the Covid-19 pandemic by June 30, 2021. This per-capita mortality rate is similar to that in the United States and many other regions.


Author(s):  

Abstract A new distribution map is provided for Rhipiphorothrips cruentatus Hood Thysanoptera: Thripidae Grapevine thrips, mango thrips. Attacks grape, castor, mango, cashew, cardamon. Information is given on the geographical distribution in ASIA, Afghanistan, Burma, China, Guangdong, Hainan, India, Andhra Pradesh, Bihar, Goa, Gujarat, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh, West Bengal, Myanmar, Oman, Pakistan, Sri Lanka, Taiwan.


Author(s):  

Abstract A new distribution map is provided for Olivea tectonae (T. S. & K. Ramakrishnan) Mulder. Hosts: Teak (Tectona grandis). Information is given on the geographical distribution in Asia, Bangladesh, Burma, India, West Bengal, Bihar, Karnataka, Maharashtra, Tamil Nadu, Kerala, Madhya Pradesh, Nagaland, Uttar Pradesh, Indonesia, Java, Philippines, Sri Lanka, Taiwan, Thailand.


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