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4. Balancing on the edge, the golden ratio, the Fibonacci sequence and their generalization

Author

Dutta, Gautam, Mehta, Mitaxi, and Pathak, Praveen

Subjects
Mathematics - General Mathematics
Abstract

The golden ratio and Fibonacci numbers are found to occur in various aspects of nature. We discuss the occurrence of this ratio in an interesting physical problem concerning center of masses in two dimensions. The result is shown to be independent of the particular shape of the object. The approach taken extends naturally to higher dimensions. This leads to ratios similar to the golden ratio and generalization of the Fibonacci sequence. The hierarchy of these ratios with dimension and the limit as the dimension tends to infinity is discussed using the physical problem., Comment: 8 pages, 4 figures

Published
2020

6. Analyzing a Free-Falling Magnet to Measure Gravitational Acceleration Using a Smartphone's Magnetometer

Author

Pathak, Praveen and Patel, Yogita

Abstract

A smartphone magnetometer is used to record the magnetic field of a freely falling point dipole magnet. The recorded magnetic field vs. time data are analyzed in accordance with the spatial dependence of the magnetic field to calculate the acceleration due to gravity g. The experiment gives local g to be 9.79 ± 1.9% m/s[superscript 2].

Published
2022
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8. Impact of Open-Source Community on Cryptocurrency Market Price: An Empirical Investigation.

Author

Petryk, Mariia, Qiu, Liangfei, and Pathak, Praveen

Subjects
MARKET prices, MARKET pricing, PRICES, CRYPTOCURRENCIES, PRICE cutting, FINANCIAL instruments
Abstract

Although the prices of cryptocurrencies remained volatile for the past decade, the factors that impact the price dynamics of the new type of investment instrument have not been fully identified yet. In this study, we recognize the dual nature of cryptocurrencies, that is, being a software program and a financial instrument, and examine the impact of software advancement on the price dynamics of cryptocurrencies. The open-source software (OSS) platform functionality enables social behaviors that we use as signals. Using data from the largest OSS platform, we establish the connection between open-source activities and the price movement of cryptocurrency. In particular, as project popularity (forks and watches) and users' feedback (issues) increase, the market price increases by 4.3 percent, 2.4 percent, and 4.4 percent per annum, respectively. On the contrary, the number of code corrections (pull requests) is negatively related to prices leading to a 5 percent annual price decrease. Our results suggest that OSS contributions create a perfect selection mechanism, where higher quality projects receive more developers' attention and user feedback, whereas lower quality projects do not, thus creating the separating equilibrium. [ABSTRACT FROM AUTHOR]

Published
2023
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9. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Author

Haakenstad, Annie, Yearwood, Jamal Akeem, Fullman, Nancy, Bintz, Corinne, Bienhoff, Kelly, Weaver, Marcia R, Nandakumar, Vishnu, LeGrand, Kate E, Knight, Megan, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abeldaño Zuñiga, Roberto Ariel, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Afzal, Muhammad Sohail, Afzal, Saira, Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Ali, Ahmed Rashid, Tarik, Aji, Budi, Akande-Sholabi, Wuraola, Alam, Khurshid, Al Hamad, Hanadi, Alhassan, Robert Kaba, Ali, Liaqat, Alipour, Vahid, Aljunid, Syed Mohamed, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Andrade, Pedro Prata, Anjum, Afifa, Arabloo, Jalal, Arab-Zozani, Morteza, Ariffin, Hany, Arulappan, Judie, Aryan, Zahra, Ashraf, Tahira, Atnafu, Desta Debalkie, Atreya, Alok, Ausloos, Marcel, Avila-Burgos, Leticia, Ayano, Getinet, Ayanore, Martin Amogre, Azari, Samad, Badiye, Ashish D, Baig, Atif Amin, Bairwa, Mohan, Bakkannavar, Shankar M, Baliga, Shrikala, Banik, Palash Chandra, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Basu, Sanjay, Bayati, Mohsen, Belete, Rebuma, Bell, Arielle Wilder, Bhagat, Devidas S., Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhardwaj, Nikha, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhurtyal, Ashok, Bhutta, Zulfiqar A, Bibi, Sadia, Bijani, Ali, Bikbov, Boris, Biondi, Antonio, Bolarinwa, Obasanjo Afolabi, Bonny, Aime, Brenner, Hermann, Buonsenso, Danilo, Burkart, Katrin, Busse, Reinhard, Butt, Zahid A, Butt, Nadeem Shafique, Caetano dos Santos, Florentino Luciano, Cahuana-Hurtado, Lucero, Cámera, Luis Alberto, Cárdenas, Rosario, Carneiro, Vera L A, Catalá-López, Ferrán, Chandan, Joht Singh, Charan, Jaykaran, Chavan, Prachi P, Chen, Simiao, Chen, Shu, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Mohiuddin Ahsanul Kabir, Cirillo, Massimo, Corso, Barbara, Dadras, Omid, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dangel, William James, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, Deuba, Keshab, Dhimal, Meghnath, Dhimal, Mandira Lamichhane, Djalalinia, Shirin, Do, Huyen Phuc, Doshmangir, Leila, Duncan, Bruce B, Effiong, Andem, Ehsani-Chimeh, Elham, Elgendy, Islam Y, Elhadi, Muhammed, El Sayed, Iman, El Tantawi, Maha, Erku, Daniel Asfaw, Eskandarieh, Sharareh, Fares, Jawad, Farzadfar, Farshad, Ferrero, Simone, Ferro Desideri, Lorenzo, Fischer, Florian, Foigt, Nataliya A., Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gaihre, Santosh, Gardner, William M., Garg, Tushar, Getachew Obsa, Abera, Ghafourifard, Mansour, Ghashghaee, Ahmad, Ghith, Nermin, Gilani, Syed Amir, Gill, Paramjit Singh, Goharinezhad, Salime, Golechha, Mahaveer, Guadamuz, Jenny S., Guo, Yuming, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Vivek Kumar, Gupta, Veer Bala, Hamiduzzaman, Mohammad, Hanif, Asif, Haro, Josep Maria, Hasaballah, Ahmed I., Hasan, Md. Mehedi, Hasan, M Tasdik, Hashi, Abdiwahab, Hay, Simon I, Hayat, Khezar, Heidari, Mohammad, Heidari, Golnaz, Henry, Nathaniel J, Herteliu, Claudiu, Holla, Ramesh, Hossain, Sahadat, Hossain, Sheikh Jamal, Hossain, Mohammad Bellal Hossain, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Hsieh, Vivian Chia-rong, Hu, Guoqing, Huang, Junjie, Huda, M Mamun, Ifeagwu, Susan C., Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Jahani, Mohammad Ali, Jahanmehr, Nader, Jain, Rajesh, Jakovljevic, Mihajlo, Janodia, Manthan Dilipkumar, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Jonas, Jost B., Joo, Tamas, Joseph, Nitin, Jürisson, Mikk, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamath, Aruna M., Kamenov, Kaloyan, Kandel, Himal, Kantar, Rami S., Kapoor, Neeti, Karanikolos, Marina, Katikireddi, Srinivasa Vittal, Kavetskyy, Taras, Kawakami, Norito, Kayode, Gbenga A., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalilov, Rovshan, Khammarnia, Mohammad, Khan, Md Nuruzzaman, Khan, Moien AB, Khan, Maseer, Khezeli, Mehdi, Kim, Min Seo, Kim, Yun Jin, Kisa, Sezer, Kisa, Adnan, Klymchuk, Vitalii, Koly, Kamrun Nahar, Korzh, Oleksii, Kosen, Soewarta, Koul, Parvaiz A, Kuate Defo, Barthelemy, Kumar, G Anil, Kusuma, Dian, Kyu, Hmwe Hmwe, Larsson, Anders O, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Lee, Chiachi Bonnie, Li, Shanshan, Lucchetti, Giancarlo, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Makki, Alaa, Malekzadeh, Reza, Malik, Ahmad Azam, Malta, Deborah Carvalho, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martinez-Valle, Adolfo, Martins-Melo, Francisco Rogerlândio, Masoumi, Seyedeh Zahra, Mathur, Manu Raj, Maude, Richard James, Maulik, Pallab K, McKee, Martin, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mirrakhimov, Erkin M, Misganaw, Awoke, Misra, Sanjeev, Moazen, Babak, Mohammadi, Mokhtar, Mohammed, Shafiu, Moitra, Modhurima, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Ghobad, Moreira, Rafael Silveira, Mosser, Jonathan F., Mostafavi, Ebrahim, Mouodi, Simin, Nagarajan, Ahamarshan Jayaraman, Nagata, Chie, Naghavi, Mohsen, Nangia, Vinay, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nascimento, Bruno Ramos, Nassereldine, Hasan, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Nepal, Samata, Neupane Kandel, Sandhya, Ngunjiri, Josephine W., Nguyen, Huong Lan Thi, Nguyen, Cuong Tat, Ningrum, Dina Nur Anggraini, Noubiap, Jean Jacques, Oancea, Bogdan, Oghenetega, Onome Bright, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Onwujekwe, Obinna E, Otoiu, Adrian, Padubidri, Jagadish Rao, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pardhan, Shahina, Pasupula, Deepak Kumar, Pathak, Praveen Kumar, Patton, George C, Pawar, Shrikant, Pereira, Jeevan, Pilania, Manju, Piroozi, Bakhtiar, Podder, Vivek, Pokhrel, Khem Narayan, Postma, Maarten J, Prada, Sergio I, Quazi Syed, Zahiruddin, Rabiee, Navid, Radhakrishnan, Raghu Anekal, Rahman, Md. Mosfequr, Rahman, Mosiur, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahmani, Amir Masoud, Ranabhat, Chhabi Lal, Rao, Chythra R, Rao, Sowmya J, Rasella, Davide, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Renzaho, Andre M.N., Reshmi, Bhageerathy, Resnikoff, Serge, Rezapour, Aziz, Riahi, Seyed Mohammad, Ripon, Rezaul Karim, Sacco, Simona, Sadeghi, Masoumeh, Saeed, Umar, Sahebkar, Amirhossein, Sahiledengle, Biniyam, Sahoo, Harihar, Sahu, Maitreyi, Salama, Joseph S, Salamati, Payman, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M., Sathian, Brijesh, Sawhney, Monika, Schmidt, Maria Inês, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shaikh, Masood Ali, Sheikh, Aziz, Shetty, Adithi, Shigematsu, Mika, Shiri, Rahman, Shivakumar, K M, Shokri, Azad, Singh, Jasvinder A., Sinha, Dhirendra Narain, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sofi-Mahmudi, Ahmad, Sousa, Raúl A R C, Stephens, Jacqueline H, Sun, Jing, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tadbiri, Hooman, Tamiru, Animut Tagele, Thankappan, Kavumpurathu Raman, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Tran, Bach Xuan, Tripathi, Niharika, Tripathy, Jaya Prasad, Troeger, Christopher E, Uezono, Deinzel Robles, Ullah, Saif, Ullah, Anayat, Unnikrishnan, Bhaskaran, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vasic, Milena, Veroux, Massimiliano, Vervoort, Dominique, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Waheed, Yasir, Wamai, Richard G, Wang, Yuan-Pang, Wang, Yanzhong, Ward, Paul, Wiangkham, Taweewat, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yi, Siyan, Yiğit, Vahit, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Sojib Bin, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H, Lim, Stephen S, Murray, Christopher J L, and Lozano, Rafael

Published
2022
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12. Determination of the Friction Coefficient of an Inclined Plane Using the Doppler Effect and Smartphones

Author

Pathak, Praveen and Patel, Yogita

Abstract

A phone emitting sound of a fixed frequency is sliding on an inclined plane and approaching a second phone kept at the bottom of the plane. The detected frequency versus time data by the second phone are used to calculate the acceleration of the sliding phone. The primary objective of this paper is to calculate the sliding friction between the phone and the plane from the acceleration values. It demonstrates that the sliding friction is constant irrespective of the inclination of the plane. Results are in good agreement with the one obtained from the video analysis.

Published
2020
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14. Cancer of cervix: epidemiology, risk factors, stage and management.

Author

Pathak, Shiwani and Pathak, Praveen Kumar

Subjects
EPIDEMIOLOGY of cancer, CERVICAL cancer, HUMAN papillomavirus, SEXUAL intercourse, CERVIX uteri
Abstract

In female cervical cancer is one of the top causes of death from cancer worldwide and its behavior epidemiologically likes a venereal disease of low infectiousness. Major risk of cervical cancer is early age at first intercourse and several sexual partners have been shown to exert strong effects. The wide differences in the prevalence amid different countries also influenced by the introduction of screening. While the common picture remains one of decreasing prevalence and death, there are signs of an increasing cervical cancer risk possibly due to changes in sexual behavior. Other important factors are smoking and human papilloma virus is currently important issues in a concept of multi factorial, stepwise carcinogenesis at the cervix uteri. [ABSTRACT FROM AUTHOR]

Published
2024

16. Heterogeneity in adult anthropometry by socioeconomic factors: Indian National Family Health Survey 2006 and 2016

Author

Kim, Rockli, Kumar Pathak, Praveen, Tripathi, Niharika, and Subramanian, S. V.

Subjects
Family -- Surveys -- Usage, Health surveys -- Surveys -- Usage, Developing countries -- Usage -- Surveys, Adults -- Surveys, Body mass index -- Usage -- Surveys, Food/cooking/nutrition, Health
Abstract

Background/Objectives Recent evidence suggests nonconstant nature of dispersion in adult women's body mass index (BMI) across sociodemographic groups. The overall variances in BMI and height are also shown to have substantially changed over time. We modeled complex variation in adults' anthropometry--BMI and height--by wealth and education, and assessed their differences over time in India. Subjects/Methods Data from a total of 768,130 women and 180,691 men from the Indian National Family Health Survey (NFHS) 2006 and 2016 were used for the analysis. The average association between wealth and education with anthropometry was assessed from linear regression models assuming constant variance. Individual heterogeneity was modeled to obtain separate variances in anthropometry for each wealth quintile and education level. All analyses were stratified by survey year and sex. Results On average, the positive socioeconomic gradient in adult's BMI and height persisted over time with slight attenuation. The residual variance in BMI ranged from 10.1 to 14.9 (7.2-11.3) by education level and 6.1 to 17.4 (5.0-13.0) by household wealth for women (men) in 2006, and they increased over time for the lower socioeconomic groups but remained the same or decreased for the higher socioeconomic groups. No significant pattern was observed for variation in height for both genders. Conclusions We found potential reversal in the socioeconomic patterning in BMI variability in India as suggested by the increasing dispersion among the least educated and poorest populations. For a comprehensive understanding of nutrition transition in developing countries, it is necessary to assess the changes in means and variances of anthropometry in tandem., Author(s): Rockli Kim [sup.1], Praveen Kumar Pathak [sup.2], Niharika Tripathi [sup.3], S. V. Subramanian [sup.1] [sup.4] Author Affiliations: (1) Harvard Center for Population and Development Studies, Cambridge, USA (2) Department [...]

Published
2020
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18. Energy and Angular Momentum Storage in a Rotating Magnet

Author

Mani, H. S., Pathak, Praveen, and Singh, Vijay A.

Subjects
Physics - Classical Physics
Abstract

We consider a cylindrical metallic magnet that is set into rotation about a horizontal axis by a falling mass. In such a system the magnetic field will cause a radial current which is non-solenoidal. This leads to charge accumulation and a partial attenuation of radial current. The magnetic field acting on the radially flowing current slows down the acceleration. Using newtonian dynamics we evaluate the angular velocity and displacement. We explicitly show that the electromagnetic angular momentum must be taken into consideration in order to account for the change in angular momentum due to the external torque on the system. Further the loss in potential energy of the falling mass can be accounted for only after taking into consideration the electrostatic energy and the Joule loss. We suggest that this example will be of pedagogical value to intermediate physics students. A version of this is scheduled to appear in American Journal of Physics 2011. Keywords: Rotating magnet, Charge accumulation, Comment: 11 pages and one figure

Published
2011

27. Monitoring the Teaching — Learning Process via an Entropy Based Index

Author

Singh, Vijay A., Pathak, Praveen, Pandey, Pratyush, Faggini, Marisa, editor, Gallegati, Mauro, editor, Kirman, Alan, editor, Aluja, Jaime Gil, editor, Arecchi, Fortunato, editor, Colander, David, editor, Day, Richard H., editor, Keen, Steve, editor, Lines, Marji, editor, Lux, Thomas, editor, Medio, Alfredo, editor, Ormerod, Paul, editor, Richmond, Peter, editor, Barkley Rosser, J., editor, Racah, Sorin Solomon, editor, Terna, Pietro, editor, Velupillai, Kumaraswamy, editor, Vriend, Nicolas, editor, Zadeh, Lotfi, editor, Parziale, Anna, editor, Basu, Banasri, editor, Chakravarty, Satya R., editor, Chakrabarti, Bikas K., editor, and Gangopadhyay, Kausik, editor

Published
2010
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28. Approximate Approaches to the One-Dimensional Finite Potential Well

Author

Singh, Shilpi, Pathak, Praveen, and Singh, Vijay A.

Abstract

The one-dimensional finite well is a textbook problem. We propose approximate approaches to obtain the energy levels of the well. The finite well is also encountered in semiconductor heterostructures where the carrier mass inside the well (m[subscript i]) is taken to be distinct from mass outside (m[subscript o]). A relevant parameter is the mass discontinuity ratio beta = m[subscript i]/m[subscript o]. To correctly account for the mass discontinuity, we apply the BenDaniel-Duke boundary condition. We obtain approximate solutions for two cases: when the well is shallow and when the well is deep. We compare the approximate results with the exact results and find that higher-order approximations are quite robust. For the shallow case, the approximate solution can be expressed in terms of a dimensionless parameter sigma[subscript l] = 2m[subscript o]V[subscript 0]L[superscript 2]/h-bar [superscript 2] (or sigma = beta[superscript 2]sigma[subscript l] for the deep case). We show that the lowest-order results are related by a duality transform. We also discuss how the energy upscales with "L" (E is proportional to 1/L[superscript gamma]) and obtain the exponent gamma. Exponent gamma [right arrow] 2 when the well is sufficiently deep and beta [right arrow] 1. The ratio of the masses dictates the physics. Our presentation is pedagogical and should be useful to students on a first course on elementary quantum mechanics or low-dimensional semiconductors. (Contains 2 tables, 3 footnotes and 4 figures.)

Published
2011
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34. Finding Information on the World Wide Web: The Retrieval Effectiveness of Search Engines.

Author

Pathak, Praveen and Gordon, Michael

Abstract

Describes a study that examined the effectiveness of eight search engines for the World Wide Web. Calculated traditional information-retrieval measures of recall and precision at varying numbers of retrieved documents to use as the bases for statistical comparisons of retrieval effectiveness. Also examined the overlap between search engines. (Author/LRW)

Published
1999

42. Curse of the Mummy-ji : The Influence of Mothers-in-Law on Women in India

Author

Anukriti, S, Herrera-Almanza, Catalina, Pathak, Praveen K., and Karra, Mahesh

Subjects
MOTHER-IN-LAW, MOBILITY, REPRODUCTIVE HEALTH, SOCIAL NETWORKS, health care economics and organizations, humanities, FAMILY PLANNING
Abstract

Restrictive social norms and strategic constraints imposed by family members can limit women's access to and benefits from social networks, especially in patrilocal societies. We characterize young married women's social networks in rural India and analyze how inter-generational power dynamics within the household affect their network formation. Using primary data from Uttar Pradesh, we show that co-residence with the mother-in-law is negatively correlated with her daughter-in-law's mobility and ability to form social connections outside the household, especially those related to health, fertility, and family planning. Our findings suggest that the mother-in-law's restrictive behavior is potentially driven by the misalignment of fertility preferences between the mother-in-law and the daughter-in-law. The lack of peers outside the household lowers the daughter-in-law's likelihood of visiting a family planning clinic and of using modern contraception. We find suggestive evidence that this is because outside peers (a) positively influence daughter-in-law's beliefs about the social acceptability of family planning and (b) enable the daughter-in-law to overcome mobility constraints by accompanying her to health clinics. Wiley Terms and Conditions, https://authorservices.wiley.com/author-resources/Journal-Authors/licensing/self-archiving.html

Published
2020

47. Assessing Socioeconomic Vulnerabilities Related to COVID-19 Risk in India: A State-Level Analysis.

Author

Pathak, Praveen Kumar, Singh, Yadawendra, Mahapatro, Sandhya R., Tripathi, Niharika, and Jee, Jyoti

Abstract

Objective: There is a paucity of scientific analysis that has examined spatial heterogeneities in the socioeconomic vulnerabilities related to coronavirus disease 2019 (COVID-19) risk and potential mitigation strategies at the sub-national level in India. The present study examined the demographic, socioeconomic, and health system-related vulnerabilities shaping COVID-19 risk across 36 states and union territories in India. Methods: Using secondary data from the Ministry of Health and Family Welfare (MoHFW), Government of India; Census of India, 2011; National Family Health Survey, 2015-16; and various rounds of the National Sample Survey, we examined socioeconomic vulnerabilities associated with COVID-19 risk at the sub-national level in India from March 16, 2020, to May 3, 2020. Descriptive statistics, principal component analysis, and the negative binomial regression model were used to examine the predictors of COVID-19 risk in India. Results: There persist substantial heterogeneities in the COVID-19 risk across states and union territories in India. The underlying demographic, socioeconomic, and health infrastructure characteristics drive the vulnerabilities related to COVID-19 in India. Conclusions: This study emphasizes that concerted socially inclusive policy action and sustained livelihood/economic support for the most vulnerable population groups is critical to mitigate the impact of the COVID-19 pandemic in India. [ABSTRACT FROM AUTHOR]

Published
2022
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50. Classroom

Author

Pathak, Praveen, Singh, Vijay A., Bhabha, Homi, and Asnani, Himanshu

Published
2007
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