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  1. Article ; Online: Causal connections between socioeconomic disparities and COVID-19 in the USA.

    Banerjee, Tannista / Paul, Ayan / Srikanth, Vishak / Strümke, Inga

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 15827

    Abstract: With the increasing use of machine learning models in computational socioeconomics, the development of methods for explaining these models and understanding the causal connections is gradually gaining importance. In this work, we advocate the use of an ... ...

    Abstract With the increasing use of machine learning models in computational socioeconomics, the development of methods for explaining these models and understanding the causal connections is gradually gaining importance. In this work, we advocate the use of an explanatory framework from cooperative game theory augmented with do calculus, namely causal Shapley values. Using causal Shapley values, we analyze socioeconomic disparities that have a causal link to the spread of COVID-19 in the USA. We study several phases of the disease spread to show how the causal connections change over time. We perform a causal analysis using random effects models and discuss the correspondence between the two methods to verify our results. We show the distinct advantages a non-linear machine learning models have over linear models when performing a multivariate analysis, especially since the machine learning models can map out non-linear correlations in the data. In addition, the causal Shapley values allow for including the causal structure in the variable importance computed for the machine learning model.
    MeSH term(s) COVID-19/epidemiology ; Causality ; Humans ; Linear Models ; Machine Learning ; Socioeconomic Factors ; United States/epidemiology
    Language English
    Publishing date 2022-09-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-18725-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: U.S. county level analysis to determine If social distancing slowed the spread of COVID-19.

    Banerjee, Tannista / Nayak, Arnab

    Revista panamericana de salud publica = Pan American journal of public health

    2020  Volume 44, Page(s) e90

    Abstract: Objective: To analyze the effectiveness of social distancing in the United States (U.S.).: Methods: A novel cell-phone ping data was used to quantify the measures of social distancing by all U.S. counties.: Results: Using a difference-in- ... ...

    Abstract Objective: To analyze the effectiveness of social distancing in the United States (U.S.).
    Methods: A novel cell-phone ping data was used to quantify the measures of social distancing by all U.S. counties.
    Results: Using a difference-in-difference approach results show that social distancing has been effective in slowing the spread of COVID-19.
    Conclusions: As policymakers face the very difficult question of the necessity and effectiveness of social distancing across the U.S., counties where the policies have been imposed have effectively increased social distancing and have seen slowing the spread of COVID-19. These results might help policymakers to make the public understand the risks and benefits of the lockdown.
    Keywords covid19
    Language English
    Publishing date 2020-07-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1376934-0
    ISSN 1680-5348 ; 1020-4989
    ISSN (online) 1680-5348
    ISSN 1020-4989
    DOI 10.26633/RPSP.2020.90
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: U.S. county level analysis to determine If social distancing slowed the spread of COVID-19

    Tannista Banerjee / Arnab Nayak

    Revista Panamericana de Salud Pública, Vol 44, Iss 90, Pp 1-

    2020  Volume 7

    Abstract: Objective. To analyze the effectiveness of social distancing in the United States (U.S.). Methods. A novel cell-phone ping data was used to quantify the measures of social distancing by all U.S. counties. Results. Using a difference-in-difference ... ...

    Abstract Objective. To analyze the effectiveness of social distancing in the United States (U.S.). Methods. A novel cell-phone ping data was used to quantify the measures of social distancing by all U.S. counties. Results. Using a difference-in-difference approach results show that social distancing has been effective in slowing the spread of COVID-19. Conclusions. As policymakers face the very difficult question of the necessity and effectiveness of social distancing across the U.S., counties where the policies have been imposed have effectively increased social distancing and have seen slowing the spread of COVID-19. These results might help policymakers to make the public understand the risks and benefits of the lockdown.
    Keywords coronavirus ; pandemics ; behavior ; social ; quarantine ; united states ; Medicine ; R ; Arctic medicine. Tropical medicine ; RC955-962 ; Public aspects of medicine ; RA1-1270 ; covid19
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Pan American Health Organization
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: A county-level study of the effects of state-mandated COVID-19 lockdowns on urban and rural restaurant visits using consumers' cell phone geo-location data.

    Banerjee, Tannista / Nayak, Arnab / Zhao, HaiYue

    Zeitschrift fur Gesundheitswissenschaften = Journal of public health

    2021  , Page(s) 1–10

    Abstract: Aim: US federal, state, and local governments implemented numerous COVID-19 shelter-in-place orders (lockdowns) starting in March 2020 to ensure social distancing regulations and help stop the spread of COVID-19. It is important to know how these ... ...

    Abstract Aim: US federal, state, and local governments implemented numerous COVID-19 shelter-in-place orders (lockdowns) starting in March 2020 to ensure social distancing regulations and help stop the spread of COVID-19. It is important to know how these lockdowns affected businesses, such as restaurants, in regions that vary in terms of poverty status and geography. In this paper, we analyze the differential changes in rural and urban restaurant visits by the restaurants' NAICS codes following the COVID-19 lockdowns. Our analysis contributes to the public policy literature and helps operational planning for food distribution during a pandemic.
    Methods: Since urban and rural consumer behavior and food resources are significantly different, it is crucial to conduct a comparative analysis. Our study applies a difference-in-differences model to capture the differential effects lockdowns have on urban and rural restaurants.
    Results: We find that restaurant visits declined significantly in both rural and urban counties after shelter-at-home orders. The decrease in total restaurant visits was almost twice as high in urban counties as in rural counties. We also find that visits to fast-food restaurants increased in rural counties during shelter-at-home orders.
    Conclusions: These results contribute to previous studies on the dearth of healthy food in rural and poorer regions, and inform important public policy response in the wake of the COVID-19 pandemic.
    Language English
    Publishing date 2021-01-15
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1149070-6
    ISSN 2198-1833 ; 0943-1853
    ISSN 2198-1833 ; 0943-1853
    DOI 10.1007/s10389-020-01473-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A neurobehavioral study on the efficacy of price interventions in promoting healthy food choices among low socioeconomic families

    Tannista Banerjee / Veena Chattaraman / Hao Zou / Gopikrishna Deshpande

    Scientific Reports, Vol 10, Iss 1, Pp 1-

    2020  Volume 21

    Abstract: Abstract Given the healthcare costs associated with obesity (especially in childhood), governments have tried several fiscal and policy interventions such as lowering tax and giving rebates to encourage parents to choose healthier food for their family. ... ...

    Abstract Abstract Given the healthcare costs associated with obesity (especially in childhood), governments have tried several fiscal and policy interventions such as lowering tax and giving rebates to encourage parents to choose healthier food for their family. The efficacy of such fiscal policies is currently being debated. Here we address this issue by investigating how behavioral and brain-based responses in parents with low socioeconomic status change when rebates and lower taxes are offered on healthy food items. We performed behavioral and brain-based experiments, with the latter employing electroencephalography (EEG) acquired from parents while they shop in a simulated shopping market as well as follow up functional magnetic resonance imaging (fMRI) in the more restricted scanner environment. Behavioral data show that lower tax and rebate on healthy foods increase their purchase significantly compared to baseline. Rebate has a higher effect than lower tax treatment. From the EEG and fMRI experiments, we first show that healthy/unhealthy foods elicit least/maximal reward response in the brain, respectively. Further, by offering lower tax or rebate on healthy food items, the reward signal for such items in the brain is significantly enhanced. Second, we demonstrate that rebate is more effective than lower tax in encouraging consumers to purchase healthy food items, driven in part, by higher reward-related response in the brain for rebate. Third, fiscal interventions decreased the amount of frontal cognitive control required to buy healthy foods despite their lower calorific value as compared to unhealthy foods. Finally, we propose that it is possible to titrate the amount of tax reductions and rebates on healthy food items so that they consistently become more preferable than unhealthy foods.
    Keywords Medicine ; R ; Science ; Q
    Subject code 336
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Multinational investments and product sophistication

    Banerjee, Tannista / Nayak, Arnab

    Economics letters Vol. 161 , p. 157-163

    2017  Volume 161, Page(s) 157–163

    Author's details Tannista Banerjee, Arnab Nayak
    Keywords Quality of exports ; FDI ; Panel data ; HS-10
    Language English
    Publisher Elsevier
    Publishing place Amsterdam [u.a.]
    Document type Article
    ZDB-ID 717210-2
    ISSN 0165-1765
    Database ECONomics Information System

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  7. Article: Aspects of research and development contract terms in the bio/pharmaceutical sector.

    Banerjee, Tannista

    Advances in health economics and health services research

    2012  Volume 23, Page(s) 1–33

    Abstract: Purpose: The cost of new drug development is increasing every year. Pharmaceutical companies use R&D joint ventures, mergers, and outsource different stages of pharmaceutical R&D activities for a faster and cost minimizing method of innovation. ... ...

    Abstract Purpose: The cost of new drug development is increasing every year. Pharmaceutical companies use R&D joint ventures, mergers, and outsource different stages of pharmaceutical R&D activities for a faster and cost minimizing method of innovation. Pharmaceutical companies outsource R&D activities to independent small biotech or pharmaceutical companies that specialize in different stages of pharmaceutical R&D. This chapter examines the determinants of the payment structure of research contracts between large bio/pharmaceutical companies and specialized research firms.
    Methods: Determinants of R&D contracts are analyzed using detailed R&D contract data between bio/pharmaceutical companies and independent research firms for 10 years. A multinomial logit model is used in order to understand the determinants of three different types of contracts; royalty contracts, fixed payment contracts, and the mixed contracts.
    Findings: Under uncertainty, the likelihood of a royalty contract rises for the early stages of the research and with the patent stock of the research firm. It is more likely to observe both royalty and fixed payment if the pharmaceutical client has past contracts with the same research firm. The results also suggest that if Food and Drug Administration (FDA) is more stringent in any disease area in reviewing the new drug application, then the likelihood of signing pure royalty contract decreases.
    Implications: Understanding the nature of R&D contracts and the effects of FDA's behavior on the pharmaceutical R&D contract is important because these contracts not only affect the cost of new drug invention but also the quality and the rate of invention. VALUE: Results are useful for both the pharmaceutical companies and the economic/business researchers.
    MeSH term(s) Contracts/economics ; Drug Approval ; Drug Industry ; Empirical Research ; Logistic Models ; Outsourced Services/economics ; Research/organization & administration ; United States ; United States Food and Drug Administration
    Language English
    Publishing date 2012-11-15
    Publishing country Netherlands
    Document type Journal Article
    ISSN 0731-2199
    ISSN 0731-2199
    DOI 10.1108/s0731-2199(2012)0000023004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: U.S. county level analysis to determine If social distancing slowed the spread of COVID-19/ Análisis a nivel de condado para determinar si el distanciamiento social ralentizó la propagación de la COVID-19 en los Estados Unidos

    Banerjee, Tannista / Nayak, Arnab

    Rev. panam. salud pública

    Abstract: ABSTRACT Objective. To analyze the effectiveness of social distancing in the United States (U.S.). Methods. A novel cell-phone ping data was used to quantify the measures of social distancing by all U.S. counties. Results. Using a difference-in- ... ...

    Abstract ABSTRACT Objective. To analyze the effectiveness of social distancing in the United States (U.S.). Methods. A novel cell-phone ping data was used to quantify the measures of social distancing by all U.S. counties. Results. Using a difference-in-difference approach results show that social distancing has been effective in slowing the spread of COVID-19. Conclusions. As policymakers face the very difficult question of the necessity and effectiveness of social distancing across the U.S., counties where the policies have been imposed have effectively increased social distancing and have seen slowing the spread of COVID-19. These results might help policymakers to make the public understand the risks and benefits of the lockdown.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #638093
    Database COVID19

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  9. Article ; Online: A neurobehavioral study on the efficacy of price interventions in promoting healthy food choices among low socioeconomic families.

    Banerjee, Tannista / Chattaraman, Veena / Zou, Hao / Deshpande, Gopikrishna

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 15435

    Abstract: Given the healthcare costs associated with obesity (especially in childhood), governments have tried several fiscal and policy interventions such as lowering tax and giving rebates to encourage parents to choose healthier food for their family. The ... ...

    Abstract Given the healthcare costs associated with obesity (especially in childhood), governments have tried several fiscal and policy interventions such as lowering tax and giving rebates to encourage parents to choose healthier food for their family. The efficacy of such fiscal policies is currently being debated. Here we address this issue by investigating how behavioral and brain-based responses in parents with low socioeconomic status change when rebates and lower taxes are offered on healthy food items. We performed behavioral and brain-based experiments, with the latter employing electroencephalography (EEG) acquired from parents while they shop in a simulated shopping market as well as follow up functional magnetic resonance imaging (fMRI) in the more restricted scanner environment. Behavioral data show that lower tax and rebate on healthy foods increase their purchase significantly compared to baseline. Rebate has a higher effect than lower tax treatment. From the EEG and fMRI experiments, we first show that healthy/unhealthy foods elicit least/maximal reward response in the brain, respectively. Further, by offering lower tax or rebate on healthy food items, the reward signal for such items in the brain is significantly enhanced. Second, we demonstrate that rebate is more effective than lower tax in encouraging consumers to purchase healthy food items, driven in part, by higher reward-related response in the brain for rebate. Third, fiscal interventions decreased the amount of frontal cognitive control required to buy healthy foods despite their lower calorific value as compared to unhealthy foods. Finally, we propose that it is possible to titrate the amount of tax reductions and rebates on healthy food items so that they consistently become more preferable than unhealthy foods.
    MeSH term(s) Adolescent ; Adult ; Child ; Child, Preschool ; Choice Behavior/physiology ; Commerce/economics ; Consumer Behavior/economics ; Family ; Female ; Food/economics ; Food Preferences/physiology ; Health Promotion/economics ; Health Promotion/methods ; Humans ; Male ; Middle Aged ; Obesity/physiopathology ; Reward ; Socioeconomic Factors ; Young Adult
    Language English
    Publishing date 2020-09-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-71082-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Competition strategy and geographical proximity of contract research organizations

    Banerjee, Tannista / Nayak, Arnab

    Theoretical economics letters Vol. 7, No. 5 , p. 1413-1422

    2017  Volume 7, Issue 5, Page(s) 1413–1422

    Author's details Tannista Banerjee, Arnab Nayak
    Keywords Contract Research Organizations ; Pharmaceutical ; R & D ; Outsourcing
    Language English
    Publisher Scientific Research
    Publishing place Irvine, Calif
    Document type Article
    ZDB-ID 2657454-8 ; 2657455-X
    ISSN 2162-2086 ; 2162-2078
    ISSN (online) 2162-2086
    ISSN 2162-2078
    Database ECONomics Information System

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