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1. National identity predicts public health support during a global pandemic

Author

Van Bavel, JJ, Cichocka, A, Capraro, V, Sjastad, H, Nezlek, JB, Pavlovic, T, Alfano, M, Gelfand, MJ, Azevedo, F, Birtel, MD, Cislak, A, Lockwood, PL, Ross, RM, Abts, K, Agadullina, E, Aruta, JJB, Besharati, SN, Bor, A, Choma, BL, Crabtree, CD, Cunningham, WA, De, K, Ejaz, W, Elbaek, CT, Findor, A, Flichtentrei, D, Franc, R, Gjoneska, B, Gruber, J, Gualda, E, Horiuchi, Y, Toan, LDH, Ibanez, A, Imran, MA, Israelashvili, J, Jasko, K, Kantorowicz, J, Kantorowicz-Reznichenko, E, Krouwel, A, Laakasuo, M, Lamm, C, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Minda, JP, Mitkidis, P, Olsson, A, Otterbring, T, Packer, DJ, Perry, A, Petersen, MB, Puthillam, A, Riano-Moreno, JC, Rothmund, T, Santamaria-Garcia, H, Schmid, PC, Stoyanov, D, Tewari, S, Todosijevic, B, Tsakiris, M, Tung, HH, Umbres, RG, Vanags, E, Vlasceanu, M, Vonasch, A, Yucel, M, Zhang, Y, Abad, M, Adler, E, Akrawi, N, Mdarhri, HA, Amara, H, Amodio, DM, Antazo, BG, Apps, M, Ay, FC, Ba, MH, Barbosa, S, Bastian, B, Berg, A, Bernal-Zarate, MP, Bernstein, M, Bialek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, Cameron, CD, Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Andres Cordoba-Delgado, M, Crespi, C, Crouzevialle, M, Cutler, J, Dabrowska, J, Cypryanska, M, Daniels, MA, Davis, VH, Dayley, PN, Delouvee, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, AB, Di Paolo, R, Drosinou, M, Dulleck, U, Ekmanis, J, Ertan, AS, Etienne, TW, Farhana, HH, Farkhari, F, Farmer, H, Fenwick, A, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, JA, Gale, J, Begona Garcia-Navarro, E, Garladinne, P, Ghajjou, O, Gkinopoulos, T, Gray, K, Griffin, SM, Gronfeldt, B, Gumren, M, Gurung, RL, Halperin, E, Harris, E, Herzon, V, Hruska, M, Huang, G, Hudecek, MFC, Isler, O, Jangard, S, Jorgensen, FJ, Kachanoff, F, Kahn, J, Dangol, AK, Keudel, O, Koppel, L, Koverola, M, Kubin, E, Kunnari, A, Kutiyski, Y, Laguna, O, Leota, J, Lermer, E, Levy, J, Levy, N, Li, C, Long, EU, Longoni, C, Maglic, M, McCashin, D, Metcalf, AL, Miklousic, I, El Mimouni, S, Miura, A, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nesh-Nash, T, Nitschke, JP, Nurse, MS, Ohtsubo, Y, de Mello, VO, O'Madagain, C, Onderco, M, Soledad Palacios-Galvez, M, Palomaki, J, Pan, Y, Papp, Z, Parnamets, P, Paruzel-Czachura, M, Pavlovic, Z, Payan-Gomez, C, Perander, S, Pitman, MM, Prasad, R, Pyrkosz-Pacyna, J, Rathje, S, Raza, A, Rego, GG, Rhee, K, Robertson, CE, Rodriguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Santiago-Tovar, N, Savage, D, Scheffer, JA, Schonegger, P, Schultner, DT, Schutte, EM, Scott, A, Sharma, M, Sharma, P, Skali, A, Stadelmann, D, Stafford, CA, Stanojevic, D, Stefaniak, A, Sternisko, A, Stoica, A, Stoyanova, KK, Strickland, B, Sundvall, J, Thomas, JP, Tinghog, G, Torgler, B, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Lange, PAM, van Prooijen, J-W, van Rooy, D, Vastfjall, D, Verkoeijen, P, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Wetter, E, Whillans, A, Willardt, R, Wohl, MJA, Wojcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, Boggio, PS, Van Bavel, JJ, Cichocka, A, Capraro, V, Sjastad, H, Nezlek, JB, Pavlovic, T, Alfano, M, Gelfand, MJ, Azevedo, F, Birtel, MD, Cislak, A, Lockwood, PL, Ross, RM, Abts, K, Agadullina, E, Aruta, JJB, Besharati, SN, Bor, A, Choma, BL, Crabtree, CD, Cunningham, WA, De, K, Ejaz, W, Elbaek, CT, Findor, A, Flichtentrei, D, Franc, R, Gjoneska, B, Gruber, J, Gualda, E, Horiuchi, Y, Toan, LDH, Ibanez, A, Imran, MA, Israelashvili, J, Jasko, K, Kantorowicz, J, Kantorowicz-Reznichenko, E, Krouwel, A, Laakasuo, M, Lamm, C, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Minda, JP, Mitkidis, P, Olsson, A, Otterbring, T, Packer, DJ, Perry, A, Petersen, MB, Puthillam, A, Riano-Moreno, JC, Rothmund, T, Santamaria-Garcia, H, Schmid, PC, Stoyanov, D, Tewari, S, Todosijevic, B, Tsakiris, M, Tung, HH, Umbres, RG, Vanags, E, Vlasceanu, M, Vonasch, A, Yucel, M, Zhang, Y, Abad, M, Adler, E, Akrawi, N, Mdarhri, HA, Amara, H, Amodio, DM, Antazo, BG, Apps, M, Ay, FC, Ba, MH, Barbosa, S, Bastian, B, Berg, A, Bernal-Zarate, MP, Bernstein, M, Bialek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, Cameron, CD, Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Andres Cordoba-Delgado, M, Crespi, C, Crouzevialle, M, Cutler, J, Dabrowska, J, Cypryanska, M, Daniels, MA, Davis, VH, Dayley, PN, Delouvee, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, AB, Di Paolo, R, Drosinou, M, Dulleck, U, Ekmanis, J, Ertan, AS, Etienne, TW, Farhana, HH, Farkhari, F, Farmer, H, Fenwick, A, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, JA, Gale, J, Begona Garcia-Navarro, E, Garladinne, P, Ghajjou, O, Gkinopoulos, T, Gray, K, Griffin, SM, Gronfeldt, B, Gumren, M, Gurung, RL, Halperin, E, Harris, E, Herzon, V, Hruska, M, Huang, G, Hudecek, MFC, Isler, O, Jangard, S, Jorgensen, FJ, Kachanoff, F, Kahn, J, Dangol, AK, Keudel, O, Koppel, L, Koverola, M, Kubin, E, Kunnari, A, Kutiyski, Y, Laguna, O, Leota, J, Lermer, E, Levy, J, Levy, N, Li, C, Long, EU, Longoni, C, Maglic, M, McCashin, D, Metcalf, AL, Miklousic, I, El Mimouni, S, Miura, A, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nesh-Nash, T, Nitschke, JP, Nurse, MS, Ohtsubo, Y, de Mello, VO, O'Madagain, C, Onderco, M, Soledad Palacios-Galvez, M, Palomaki, J, Pan, Y, Papp, Z, Parnamets, P, Paruzel-Czachura, M, Pavlovic, Z, Payan-Gomez, C, Perander, S, Pitman, MM, Prasad, R, Pyrkosz-Pacyna, J, Rathje, S, Raza, A, Rego, GG, Rhee, K, Robertson, CE, Rodriguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Santiago-Tovar, N, Savage, D, Scheffer, JA, Schonegger, P, Schultner, DT, Schutte, EM, Scott, A, Sharma, M, Sharma, P, Skali, A, Stadelmann, D, Stafford, CA, Stanojevic, D, Stefaniak, A, Sternisko, A, Stoica, A, Stoyanova, KK, Strickland, B, Sundvall, J, Thomas, JP, Tinghog, G, Torgler, B, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Lange, PAM, van Prooijen, J-W, van Rooy, D, Vastfjall, D, Verkoeijen, P, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Wetter, E, Whillans, A, Willardt, R, Wohl, MJA, Wojcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, and Boggio, PS

Abstract

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.

Published
2022

2. National identity predicts public health support during a global pandemic (vol 13, 517, 2022)

Author

Van Bavel, JJ, Cichocka, A, Capraro, V, Sjastad, H, Nezlek, JB, Pavlovic, T, Alfano, M, Gelfand, MJ, Azevedo, F, Birtel, MD, Cislak, A, Lockwood, PL, Ross, RM, Abts, K, Agadullina, E, Aruta, JJB, Besharati, SN, Bor, A, Choma, BL, Crabtree, CD, Cunningham, WA, De, K, Ejaz, W, Elbaek, CT, Findor, A, Flichtentrei, D, Franc, R, Gjoneska, B, Gruber, J, Gualda, E, Horiuchi, Y, Huynh, TLD, Ibanez, A, Imran, MA, Israelashvili, J, Jasko, K, Kantorowicz, J, Kantorowicz-Reznichenko, E, Krouwel, A, Laakasuo, M, Lamm, C, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Minda, JP, Mitkidis, P, Olsson, A, Otterbring, T, Packer, DJ, Perry, A, Petersen, MB, Puthillam, A, Riano-Moreno, JC, Rothmund, T, Santamaria-Garcia, H, Schmid, PC, Stoyanov, D, Tewari, S, Todosijevic, B, Tsakiris, M, Tung, HH, Umbres, RG, Vanags, E, Vlasceanu, M, Vonasch, A, Yucel, M, Zhang, Y, Abad, M, Adler, E, Akrawi, N, Mdarhri, HA, Amara, H, Amodio, DM, Antazo, BG, Apps, M, Ay, FC, Ba, MH, Barbosa, S, Bastian, B, Berg, A, Bernal-Zarate, MP, Bernstein, M, Bialek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, Cameron, CD, Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Cordoba-Delgado, MA, Crespi, C, Crouzevialle, M, Cutler, J, Cypryanska, M, Dabrowska, J, Daniels, MA, Davis, VH, Dayley, PN, Delouvee, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, AB, Di Paolo, R, Drosinou, M, Dulleck, U, Ekmanis, J, Ertan, AS, Etienne, TW, Farhana, HH, Farkhari, F, Farmer, H, Fenwick, A, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, JA, Gale, J, Garcia-Navarro, EB, Garladinne, P, Ghajjou, O, Gkinopoulos, T, Gray, K, Griffin, SM, Gronfeldt, B, Gumren, M, Gurung, RL, Halperin, E, Harris, E, Herzon, V, Hruska, M, Huang, G, Hudecek, MFC, Isler, O, Jangard, S, Jorgensen, FJ, Kachanoff, F, Kahn, J, Dangol, AK, Keudel, O, Koppel, L, Koverola, M, Kubin, E, Kunnari, A, Kutiyski, Y, Laguna, O, Leota, J, Lermer, E, Levy, J, Levy, N, Li, C, Long, EU, Longoni, C, Maglic, M, McCashin, D, Metcalf, AL, Miklousic, I, El Mimouni, S, Miura, A, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nesh-Nash, T, Nitschke, JP, Nurse, MS, Ohtsubo, Y, Oldemburgo de Mello, V, O'Madagain, C, Onderco, M, Palacios-Galvez, MS, Palomaki, J, Pan, Y, Papp, Z, Parnamets, P, Paruzel-Czachura, M, Pavlovic, Z, Payan-Gomez, C, Perander, S, Pitman, MM, Prasad, R, Pyrkosz-Pacyna, J, Rathje, S, Raza, A, Rego, GG, Rhee, K, Robertson, CE, Rodriguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Santiago-Tovar, N, Savage, D, Scheffer, JA, Schonegger, P, Schultner, DT, Schutte, EM, Scott, A, Sharma, M, Sharma, P, Skali, A, Stadelmann, D, Stafford, CA, Stanojevic, D, Stefaniak, A, Sternisko, A, Stoica, A, Stoyanova, KK, Strickland, B, Sundvall, J, Thomas, JP, Tinghog, G, Torgler, B, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Lange, PAM, van Prooijen, J-W, van Rooy, D, Vastfjall, D, Verkoeijen, P, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Wetter, E, Whillans, A, Willardt, R, Wohl, MJA, Wojcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, Boggio, PS, Van Bavel, JJ, Cichocka, A, Capraro, V, Sjastad, H, Nezlek, JB, Pavlovic, T, Alfano, M, Gelfand, MJ, Azevedo, F, Birtel, MD, Cislak, A, Lockwood, PL, Ross, RM, Abts, K, Agadullina, E, Aruta, JJB, Besharati, SN, Bor, A, Choma, BL, Crabtree, CD, Cunningham, WA, De, K, Ejaz, W, Elbaek, CT, Findor, A, Flichtentrei, D, Franc, R, Gjoneska, B, Gruber, J, Gualda, E, Horiuchi, Y, Huynh, TLD, Ibanez, A, Imran, MA, Israelashvili, J, Jasko, K, Kantorowicz, J, Kantorowicz-Reznichenko, E, Krouwel, A, Laakasuo, M, Lamm, C, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Minda, JP, Mitkidis, P, Olsson, A, Otterbring, T, Packer, DJ, Perry, A, Petersen, MB, Puthillam, A, Riano-Moreno, JC, Rothmund, T, Santamaria-Garcia, H, Schmid, PC, Stoyanov, D, Tewari, S, Todosijevic, B, Tsakiris, M, Tung, HH, Umbres, RG, Vanags, E, Vlasceanu, M, Vonasch, A, Yucel, M, Zhang, Y, Abad, M, Adler, E, Akrawi, N, Mdarhri, HA, Amara, H, Amodio, DM, Antazo, BG, Apps, M, Ay, FC, Ba, MH, Barbosa, S, Bastian, B, Berg, A, Bernal-Zarate, MP, Bernstein, M, Bialek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, Cameron, CD, Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Cordoba-Delgado, MA, Crespi, C, Crouzevialle, M, Cutler, J, Cypryanska, M, Dabrowska, J, Daniels, MA, Davis, VH, Dayley, PN, Delouvee, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, AB, Di Paolo, R, Drosinou, M, Dulleck, U, Ekmanis, J, Ertan, AS, Etienne, TW, Farhana, HH, Farkhari, F, Farmer, H, Fenwick, A, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, JA, Gale, J, Garcia-Navarro, EB, Garladinne, P, Ghajjou, O, Gkinopoulos, T, Gray, K, Griffin, SM, Gronfeldt, B, Gumren, M, Gurung, RL, Halperin, E, Harris, E, Herzon, V, Hruska, M, Huang, G, Hudecek, MFC, Isler, O, Jangard, S, Jorgensen, FJ, Kachanoff, F, Kahn, J, Dangol, AK, Keudel, O, Koppel, L, Koverola, M, Kubin, E, Kunnari, A, Kutiyski, Y, Laguna, O, Leota, J, Lermer, E, Levy, J, Levy, N, Li, C, Long, EU, Longoni, C, Maglic, M, McCashin, D, Metcalf, AL, Miklousic, I, El Mimouni, S, Miura, A, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nesh-Nash, T, Nitschke, JP, Nurse, MS, Ohtsubo, Y, Oldemburgo de Mello, V, O'Madagain, C, Onderco, M, Palacios-Galvez, MS, Palomaki, J, Pan, Y, Papp, Z, Parnamets, P, Paruzel-Czachura, M, Pavlovic, Z, Payan-Gomez, C, Perander, S, Pitman, MM, Prasad, R, Pyrkosz-Pacyna, J, Rathje, S, Raza, A, Rego, GG, Rhee, K, Robertson, CE, Rodriguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Santiago-Tovar, N, Savage, D, Scheffer, JA, Schonegger, P, Schultner, DT, Schutte, EM, Scott, A, Sharma, M, Sharma, P, Skali, A, Stadelmann, D, Stafford, CA, Stanojevic, D, Stefaniak, A, Sternisko, A, Stoica, A, Stoyanova, KK, Strickland, B, Sundvall, J, Thomas, JP, Tinghog, G, Torgler, B, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Lange, PAM, van Prooijen, J-W, van Rooy, D, Vastfjall, D, Verkoeijen, P, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Wetter, E, Whillans, A, Willardt, R, Wohl, MJA, Wojcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, and Boggio, PS

Published
2022

3. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.

Author

Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, JC, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, PA, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, MD, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, CT, Franc, R, Pavlović, Z, Mitkidis, P, Cichocka, A, Gelfand, M, Alfano, M, Ross, RM, Sjåstad, H, Nezlek, JB, Cislak, A, Lockwood, P, Abts, K, Agadullina, E, Amodio, DM, Apps, MAJ, Aruta, JJB, Besharati, S, Bor, A, Choma, B, Cunningham, W, Ejaz, W, Farmer, H, Findor, A, Gjoneska, B, Gualda, E, Huynh, TLD, Imran, MA, Israelashvili, J, Kantorowicz-Reznichenko, E, Krouwel, A, Kutiyski, Y, Laakasuo, M, Lamm, C, Levy, J, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Olsson, A, Otterbring, T, Packer, D, Palomäki, J, Perry, A, Petersen, MB, Puthillam, A, Rothmund, T, Schmid, PC, Stadelmann, D, Stoica, A, Stoyanov, D, Stoyanova, K, Tewari, S, Todosijević, B, Torgler, B, Tsakiris, M, Tung, HH, Umbreș, RG, Vanags, E, Vlasceanu, M, Vonasch, AJ, Zhang, Y, Abad, M, Adler, E, Mdarhri, HA, Antazo, B, Ay, FC, Ba, MEH, Barbosa, S, Bastian, B, Berg, A, Białek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, de Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Córdoba-Delgado, MA, Crespi, C, Crouzevialle, M, Cutler, J, Cypryańska, M, Dabrowska, J, Davis, VH, Minda, JP, Dayley, PN, Delouvée, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, A, Di Paolo, R, Dulleck, U, Ekmanis, J, Etienne, TW, Farhana, HH, Farkhari, F, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, J, Gale, J, García-Navarro, EB, Garladinne, P, Gray, K, Griffin, SM, Gronfeldt, B, Gruber, J, Halperin, E, Herzon, V, Hruška, M, Hudecek, MFC, Isler, O, Jangard, S, Jørgensen, F, Keudel, O, Koppel, L, Koverola, M, Kunnari, A, Leota, J, Lermer, E, Li, C, Longoni, C, McCashin, D, Mikloušić, I, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nitschke, JP, Nurse, MS, de Mello, VO, Palacios-Galvez, MS, Pan, Y, Papp, Z, Pärnamets, P, Paruzel-Czachura, M, Perander, S, Pitman, M, Raza, A, Rêgo, GG, Robertson, C, Rodríguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Schultner, D, Schutte, E, Scott, A, Skali, A, Stefaniak, A, Sternisko, A, Strickland, B, Thomas, JP, Tinghög, G, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Rooy, D, Västfjäll, D, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Willardt, R, Wohl, MJA, Wójcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, Boggio, PS, Whillans, A, Van Lange, PAM, Prasad, R, Onderco, M, O'Madagain, C, Nesh-Nash, T, Laguna, OM, Kubin, E, Gümren, M, Fenwick, A, Ertan, AS, Bernstein, MJ, Amara, H, Van Bavel, JJ, Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, JC, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, PA, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, MD, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, CT, Franc, R, Pavlović, Z, Mitkidis, P, Cichocka, A, Gelfand, M, Alfano, M, Ross, RM, Sjåstad, H, Nezlek, JB, Cislak, A, Lockwood, P, Abts, K, Agadullina, E, Amodio, DM, Apps, MAJ, Aruta, JJB, Besharati, S, Bor, A, Choma, B, Cunningham, W, Ejaz, W, Farmer, H, Findor, A, Gjoneska, B, Gualda, E, Huynh, TLD, Imran, MA, Israelashvili, J, Kantorowicz-Reznichenko, E, Krouwel, A, Kutiyski, Y, Laakasuo, M, Lamm, C, Levy, J, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Olsson, A, Otterbring, T, Packer, D, Palomäki, J, Perry, A, Petersen, MB, Puthillam, A, Rothmund, T, Schmid, PC, Stadelmann, D, Stoica, A, Stoyanov, D, Stoyanova, K, Tewari, S, Todosijević, B, Torgler, B, Tsakiris, M, Tung, HH, Umbreș, RG, Vanags, E, Vlasceanu, M, Vonasch, AJ, Zhang, Y, Abad, M, Adler, E, Mdarhri, HA, Antazo, B, Ay, FC, Ba, MEH, Barbosa, S, Bastian, B, Berg, A, Białek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, de Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Córdoba-Delgado, MA, Crespi, C, Crouzevialle, M, Cutler, J, Cypryańska, M, Dabrowska, J, Davis, VH, Minda, JP, Dayley, PN, Delouvée, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, A, Di Paolo, R, Dulleck, U, Ekmanis, J, Etienne, TW, Farhana, HH, Farkhari, F, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, J, Gale, J, García-Navarro, EB, Garladinne, P, Gray, K, Griffin, SM, Gronfeldt, B, Gruber, J, Halperin, E, Herzon, V, Hruška, M, Hudecek, MFC, Isler, O, Jangard, S, Jørgensen, F, Keudel, O, Koppel, L, Koverola, M, Kunnari, A, Leota, J, Lermer, E, Li, C, Longoni, C, McCashin, D, Mikloušić, I, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nitschke, JP, Nurse, MS, de Mello, VO, Palacios-Galvez, MS, Pan, Y, Papp, Z, Pärnamets, P, Paruzel-Czachura, M, Perander, S, Pitman, M, Raza, A, Rêgo, GG, Robertson, C, Rodríguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Schultner, D, Schutte, E, Scott, A, Skali, A, Stefaniak, A, Sternisko, A, Strickland, B, Thomas, JP, Tinghög, G, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Rooy, D, Västfjäll, D, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Willardt, R, Wohl, MJA, Wójcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, Boggio, PS, Whillans, A, Van Lange, PAM, Prasad, R, Onderco, M, O'Madagain, C, Nesh-Nash, T, Laguna, OM, Kubin, E, Gümren, M, Fenwick, A, Ertan, AS, Bernstein, MJ, Amara, H, and Van Bavel, JJ

Abstract

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution-individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.

Published
2022

4. Human-Centric AI Adoption and Its Influence on Worker Productivity: An Empirical Investigation

Author

Shchepkina Natalia, Ramnarayan, Dhaliwal Navdeep, K Ravikiran, and Nangia Richa

Subjects
cost savings, worker productivity, employee happiness, human-centric ai adoption, Microbiology, QR1-502, Physiology, QP1-981, Zoology, QL1-991
Abstract

This empirical study looks at how the industrial sector is affected by the deployment of human-centric AI and finds some amazing changes in the workplace. Following implementation, employee productivity increased by 35.5%, demonstrating the significant advantages of AI in automating repetitive jobs and improving overall efficiency. Simultaneously, job satisfaction increased by a significant 20.6%, highlighting the alignment of AI with worker well-being. Employee skill development increased by 29.6% as a result of structured AI training, which is consistent with the larger goals of adopting AI that is human-centric. Significant cost reductions of up to 40% of budgets were also realized by departments, resulting in significant economic benefits. These revelations highlight the revolutionary potential of AI integration in Industry 5.0, promoting a harmonic convergence of intelligent technology and human skills for an industrial future that is more productive, happy, and financially stable.

Published
2024
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5. Blockchain Integration in Industry 5.0: A Security Experiment for Resilience Assessment

Author

Natalia Taskaeva, Pathani Ashish, Dhaliwal Navdeep, Rajasekhar N., and Khatkar Monika

Subjects
industry 5.0, data analysis, security assessment, resilience evaluation, blockchain integration, Microbiology, QR1-502, Physiology, QP1-981, Zoology, QL1-991
Abstract

This study uses an organized experimental methodology to assess the security and robustness of blockchain-integrated systems within the framework of Industry 5.0. The R&D department's average salary increased by 10%, according to an analysis of personnel statistics, which reflects trends in remuneration. Interdepartmental transactions have increased by 20% according to blockchain transaction analysis, highlighting the significance of safe interdepartmental cooperation. Security issues highlight the need of ongoing watchfulness; in the R&D department, data breaches have increased by 30%. The Manufacturing department scored 85% on the resilience evaluation, which reveals diversity in departmental flexibility. Conclusively, this study offers crucial perspectives on blockchain's function in Industry 5.0 and underscores the need of security, cooperation, and adaptability in this dynamic environment.

Published
2024
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6. Modelling the Impact of Road Dust on Air Pollution: A Sustainable System Dynamics Approach

Author

Khan Sarah, Hassan Quamrul, Kumar Kaushal, Dixit Saurav, Sharma Kshama, C. Vivek Kumar, Dhaliwal Navdeep, and Madhu Bhukya

Subjects
sustainable approach, system dynamics, air pollution, road dust, modelling, construction activities, Environmental sciences, GE1-350
Abstract

Road dust contributes significantly to air pollution by releasing fine particulate matter (PM) and other pollutants into the air, which can cause respiratory and cardiovascular problems and premature death. This dust is generated through the wear and tear of vehicle tires and road surfaces, as well as the accumulation of dirt and debris on the road, primarily from construction activities and cargo trucks carrying building materials. Wind, weather conditions, and vehicle movement play crucial roles in the distribution and concentration of these particles in the air. To address this issue, this paper focuses on identifying various variables that are connected to road dust operations and their interrelationships with air pollution variables, representing the dynamic pattern of the entire system. The paper proposes the establishment of a sustainable causal-loop model using system dynamics (SD) modeling in Vensim, connecting feedback mechanisms to effectively control the road dust concentration. Additionally, the paper suggests different policy interventions applied to the whole system to achieve optimized results. In the future, this research aims to convert and simulate the causal-loop model to a stock-flow model and compare the effectiveness of different policy interventions to further reduce road dust contributing to air pollution.

Published
2023
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7. Waste Upcycling in Construction: Geopolymer Bricks at the Vanguard of Polymer Waste Renaissance

Author

Haq Md. Zia ul, Sood Hemant, Kumar Rajesh, Chaudhary Prashant, Lavanya C., Dhaliwal Navdeep, Singarapu Sathish, and Kumar Kaushal

Subjects
sustainability, geopolymer concrete, rice husk ash, sem, elevated temperature, Environmental sciences, GE1-350
Abstract

Geopolymer concrete is one of the new aged concrete that is widely being studied and applied due to its sustainable approach achieved by its low CO2 emission by eliminating the utilization of cement in concrete. Geopolymer is cement less concrete made out of industrial by products like fly ash, GGBS, Rice husk ask , Mine tailing waste etc. or any other waste material that constituent the Si:Al that can be dissolved and polymerise in the alkaline solution. In the present study we have utilized rice husk ash to develop the geopolymer concrete as rice husk ash is one of the major challenge of handling and large emission of CO2. The geopolymer concrete made out of Rice husk ask is tested against all the standard codal provision for the conventional concrete. Compressive strength results align with the special mix design made out for the geopolymer concrete. The Study was conducted at the ambient temperature as well at the 60°C and microscopic studies were performed to analysis the change in the internal structure using SEM images

Published
2023
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8. Breast Cancer Diagnosis from Histopathology Images Using Deep Learning Methods: A Survey

Author

Patel Vivek, Chaurasia Vijayshri, Mahadeva Rajesh, Ghosh Abhijeet, Dixit Saurav, Suthar Bhivraj, Gupta Vinay, Siri D., Kumar Y. Jeevan Nagendra, Dhaliwal Navdeep, Bommala Harikrishna, and Kumar Kaushal

Subjects
deep learning, transfer learning, breast cancer diagnosis, histopathology image, cross-level attention, convolutional neural network, Environmental sciences, GE1-350
Abstract

Breast cancer is a major public health issue that may be remedied with early identification and efficient organ therapy. The diagnosis and prognosis of severe and serious illnesses are likely to be followed and examined by a biopsy of the affected organ in order to identify and classify the malignin cells or tissues. The histopathology of tissue is one of the major advancements in modern medicine for the identification of breast cancer. Haematoxylin and eosin staining slides are used by pathologists to identify benign or malignant tissue in clinical instances of invasive breast cancer. A digital whole slide imaging (WSI) is a high-resolution digital file that is permanently stored in memory for flexible use. This article will look at and compare how breast cancer cells are categorised manually and automatically. lobular carcinoma in situ and ductal carcinoma in situ are the two types of breast cancer. Here, detailed explanations of numerous techniques utilised in histopathology pictures for nucleus recognition, segmentation, feature extraction, and classification are given. The pre-processed image is utilised to extract the nucleus patch using several feature extraction approaches. Thanks to the great computational capability of the general processing unit (GPU), algorithms may be implemented effectively and efficiently. Deep Convolution Neural Network (DCNN), Support Vector Machines (SVM), and other machine learning methods are the most popular and effective computer algorithms.

Published
2023
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9. Small proportions of actively-smoking patrons and high PM2.5 levels in southern California tribal casinos: support for smoking bans or designated smoking areas

Author

Klepeis Neil E, Omoto Jason, Ong Seow Ling, Omoto Harmeena Sahota, and Dhaliwal Narinder

Subjects
Secondhand smoke, Fine particles, Active smoker counts, Nonsmoking gaming, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Nearly all California casinos currently allow smoking, which leads to potentially high patron exposure to secondhand tobacco smoke pollutants. Some argue that smoking restrictions or bans would result in a business drop, assuming > 50% of patrons smoke. Evidence in Nevada and responses from the 2008 California tobacco survey refute this assertion. The present study investigates the proportion of active smokers in southern California tribal casinos, as well as occupancy and PM2.5 levels in smoking and nonsmoking sections. Methods We measured active-smoker and total-patron counts during Friday or Saturday night visits (two per casino) to smoking and nonsmoking gaming areas inside 11 southern California casinos. We counted slot machines and table games in each section, deriving theoretical maximum capacities and occupancy rates. We also measured PM2.5 concentrations (or used published levels) in both nonsmoking and smoking areas. Results Excluding one casino visit with extremely high occupancy, we counted 24,970 patrons during 21 casino visits of whom 1,737 were actively smoking, for an overall active- smoker proportion of 7.0% and a small range of ~5% across casino visits (minimum of 5% and maximum of 10%). The differences in mean inter-casino active-smoker proportions were not statistically significant. Derived occupancy rates were 24% to 215% in the main (low-stakes) smoking-allowed slot or table areas. No relationship was found between observed active-smoker proportions and occupancy rate. The derived maximum capacities of nonsmoking areas were 1% to 29% of the overall casino capacity (most under 10%) and their observed occupancies were 0.1 to over 3 times that of the main smoking-allowed casino areas. Seven of twelve visits to nonsmoking areas with no separation had occupancy rates greater than main smoking areas. Unenclosed nonsmoking areas don’t substantially protect occupants from PM2.5 exposure. Nonsmoking areas encapsulated inside smoking areas or in a separate, but unenclosed, area had PM2.5 levels that were 10 to 60 μg/m3 and 6 to 23 μg/m3 higher than outdoor levels, respectively, indicating contamination from smoking. Conclusions Although fewer than roughly 10% of casino patrons are actively smoking on average, these individuals substantially increase PM2.5 exposure for all patrons in smoking and unenclosed nonsmoking areas. Nonsmoking areas may be too inconvenient, small, or undesirable to serve a substantial number of nonsmoking patrons. Imposing indoor smoking bans, or contained smoking areas with a maximum capacity of up to 10% of the total patronage, would offer protection from PM2.5 exposures for nonsmoking patrons and reduce employee exposures.

Published
2012
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10. Social and moral psychology of COVID-19 across 69 countries.

Author

Azevedo F, Pavlović T, Rêgo GG, Ay FC, Gjoneska B, Etienne TW, Ross RM, Schönegger P, Riaño-Moreno JC, Cichocka A, Capraro V, Cian L, Longoni C, Chan HF, Van Bavel JJ, Sjåstad H, Nezlek JB, Alfano M, Gelfand MJ, Birtel MD, Cislak A, Lockwood PL, Abts K, Agadullina E, Aruta JJB, Besharati SN, Bor A, Choma BL, Crabtree CD, Cunningham WA, De K, Ejaz W, Elbaek CT, Findor A, Flichtentrei D, Franc R, Gruber J, Gualda E, Horiuchi Y, Huynh TLD, Ibanez A, Imran MA, Israelashvili J, Jasko K, Kantorowicz J, Kantorowicz-Reznichenko E, Krouwel A, Laakasuo M, Lamm C, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Minda JP, Mitkidis P, Olsson A, Otterbring T, Packer DJ, Perry A, Petersen MB, Puthillam A, Rothmund T, Santamaría-García H, Schmid PC, Stoyanov D, Tewari S, Todosijević B, Tsakiris M, Tung HH, Umbres RG, Vanags E, Vlasceanu M, Vonasch A, Yucel M, Zhang Y, Abad M, Adler E, Akrawi N, Mdarhri HA, Amara H, Amodio DM, Antazo BG, Apps M, Ba MH, Barbosa S, Bastian B, Berg A, Bernal-Zárate MP, Bernstein M, Białek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, Cameron CD, Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryańska M, Dabrowska J, Daniels MA, Davis VH, Dayley PN, Delouvée S, Denkovski O, Dezecache G, Dhaliwal NA, Diato AB, Di Paolo R, Drosinou M, Dulleck U, Ekmanis J, Ertan AS, Farhana HH, Farkhari F, Farmer H, Fenwick A, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang JA, Gale J, Garcia-Navarro EB, Garladinne P, Ghajjou O, Gkinopoulos T, Gray K, Griffin SM, Gronfeldt B, Gümren M, Gurung RL, Halperin E, Harris E, Herzon V, Hruška M, Huang G, Hudecek MFC, Isler O, Jangard S, Jorgensen FJ, Kachanoff F, Kahn J, Dangol AK, Keudel O, Koppel L, Koverola M, Kubin E, Kunnari A, Kutiyski Y, Laguna OM, Leota J, Lermer E, Levy J, Levy N, Li C, Long EU, Maglić M, McCashin D, Metcalf AL, Mikloušić I, El Mimouni S, Miura A, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nesh-Nash T, Nitschke JP, Nurse MS, Ohtsubo Y, de Mello VO, O'Madagain C, Onderco M, Palacios-Galvez MS, Palomöki J, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Pavlović Z, Payán-Gómez C, Perander S, Pitman MM, Prasad R, Pyrkosz-Pacyna J, Rathje S, Raza A, Rhee K, Robertson CE, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Santi GC, Santiago-Tovar N, Savage D, Scheffer JA, Schultner DT, Schutte EM, Scott A, Sharma M, Sharma P, Skali A, Stadelmann D, Stafford CA, Stanojević D, Stefaniak A, Sternisko A, Stoica A, Stoyanova KK, Strickland B, Sundvall J, Thomas JP, Tinghög G, Torgler B, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Lange PAM, van Prooijen JW, van Rooy D, Västfjäll D, Verkoeijen P, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Wetter E, Whillans A, White K, Habib R, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, Boggio PS, and Sampaio WM

Subjects
Humans, Attitude, Morals, Pandemics, Surveys and Questionnaires, Social Change, Socioeconomic Factors, COVID-19 psychology
Abstract

The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables., (© 2023. The Author(s).)

Published
2023
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11. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.

Author

Pavlović T, Azevedo F, De K, Riaño-Moreno JC, Maglić M, Gkinopoulos T, Donnelly-Kehoe PA, Payán-Gómez C, Huang G, Kantorowicz J, Birtel MD, Schönegger P, Capraro V, Santamaría-García H, Yucel M, Ibanez A, Rathje S, Wetter E, Stanojević D, van Prooijen JW, Hesse E, Elbaek CT, Franc R, Pavlović Z, Mitkidis P, Cichocka A, Gelfand M, Alfano M, Ross RM, Sjåstad H, Nezlek JB, Cislak A, Lockwood P, Abts K, Agadullina E, Amodio DM, Apps MAJ, Aruta JJB, Besharati S, Bor A, Choma B, Cunningham W, Ejaz W, Farmer H, Findor A, Gjoneska B, Gualda E, Huynh TLD, Imran MA, Israelashvili J, Kantorowicz-Reznichenko E, Krouwel A, Kutiyski Y, Laakasuo M, Lamm C, Levy J, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Olsson A, Otterbring T, Packer D, Palomäki J, Perry A, Petersen MB, Puthillam A, Rothmund T, Schmid PC, Stadelmann D, Stoica A, Stoyanov D, Stoyanova K, Tewari S, Todosijević B, Torgler B, Tsakiris M, Tung HH, Umbreș RG, Vanags E, Vlasceanu M, Vonasch AJ, Zhang Y, Abad M, Adler E, Mdarhri HA, Antazo B, Ay FC, Ba MEH, Barbosa S, Bastian B, Berg A, Białek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, de Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryańska M, Dabrowska J, Davis VH, Minda JP, Dayley PN, Delouvée S, Denkovski O, Dezecache G, Dhaliwal NA, Diato A, Di Paolo R, Dulleck U, Ekmanis J, Etienne TW, Farhana HH, Farkhari F, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang J, Gale J, García-Navarro EB, Garladinne P, Gray K, Griffin SM, Gronfeldt B, Gruber J, Halperin E, Herzon V, Hruška M, Hudecek MFC, Isler O, Jangard S, Jørgensen F, Keudel O, Koppel L, Koverola M, Kunnari A, Leota J, Lermer E, Li C, Longoni C, McCashin D, Mikloušić I, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nitschke JP, Nurse MS, de Mello VO, Palacios-Galvez MS, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Perander S, Pitman M, Raza A, Rêgo GG, Robertson C, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Schultner D, Schutte E, Scott A, Skali A, Stefaniak A, Sternisko A, Strickland B, Thomas JP, Tinghög G, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Rooy D, Västfjäll D, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, Boggio PS, Whillans A, Van Lange PAM, Prasad R, Onderco M, O'Madagain C, Nesh-Nash T, Laguna OM, Kubin E, Gümren M, Fenwick A, Ertan AS, Bernstein MJ, Amara H, and Van Bavel JJ

Abstract

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 ( N  = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution-individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic., (© The Author(s) 2022. Published by Oxford University Press on behalf of National Academy of Sciences.)

Published
2022
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12. Signaling benefits of partner choice decisions.

Author

Dhaliwal NA, Martin JW, Barclay P, and Young LL

Subjects
Humans, Models, Theoretical, Prospective Studies, Cooperative Behavior, Morals
Abstract

When deciding whom to choose for a cooperative interaction, two features of prospective partners are especially relevant: ability to provide benefits, and willingness to provide those benefits. Often, these traits are correlated. But, when ability and willingness are in conflict, people often indicate that they value willingness over ability, even when doing so results in immediate losses. Why would such behavior be favored by natural selection acting at the level of the individual? Across nine experimental studies (seven preregistered) and a mathematical model we explore one way of explaining this costly choice, demonstrating that choosing a willing over an able partner affords one a moral reputation and makes one more likely to be chosen as a cooperation partner. In fact, even people who choose an able over a willing partner for themselves prefer others who choose a willing over an able partner. Crucial to our model, we find that valuing willingness over ability is an honest signal of both higher levels of generosity in an economic game and lower levels of trait Machiavellianism. These findings provide the first extensive exploration of the signaling benefits of partner choice decisions. Furthermore, this work provides one explanation for why we choose those who are willing over those who are able, even at a cost to ourselves: By doing so, we in turn look like good potential partners. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Published
2022
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13. Author Correction: National identity predicts public health support during a global pandemic.

Author

Van Bavel JJ, Cichocka A, Capraro V, Sjåstad H, Nezlek JB, Pavlović T, Alfano M, Gelfand MJ, Azevedo F, Birtel MD, Cislak A, Lockwood PL, Ross RM, Abts K, Agadullina E, Aruta JJB, Besharati SN, Bor A, Choma BL, Crabtree CD, Cunningham WA, De K, Ejaz W, Elbaek CT, Findor A, Flichtentrei D, Franc R, Gjoneska B, Gruber J, Gualda E, Horiuchi Y, Huynh TLD, Ibanez A, Imran MA, Israelashvili J, Jasko K, Kantorowicz J, Kantorowicz-Reznichenko E, Krouwel A, Laakasuo M, Lamm C, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Minda JP, Mitkidis P, Olsson A, Otterbring T, Packer DJ, Perry A, Petersen MB, Puthillam A, Riaño-Moreno JC, Rothmund T, Santamaría-García H, Schmid PC, Stoyanov D, Tewari S, Todosijević B, Tsakiris M, Tung HH, Umbreș RG, Vanags E, Vlasceanu M, Vonasch A, Yucel M, Zhang Y, Abad M, Adler E, Akrawi N, Mdarhri HA, Amara H, Amodio DM, Antazo BG, Apps M, Ay FC, Ba MH, Barbosa S, Bastian B, Berg A, Bernal-Zárate MP, Bernstein M, Białek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, Cameron CD, Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryańska M, Dabrowska J, Daniels MA, Davis VH, Dayley PN, Delouvee S, Denkovski O, Dezecache G, Dhaliwal NA, Diato AB, Di Paolo R, Drosinou M, Dulleck U, Ekmanis J, Ertan AS, Etienne TW, Farhana HH, Farkhari F, Farmer H, Fenwick A, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang JA, Gale J, Garcia-Navarro EB, Garladinne P, Ghajjou O, Gkinopoulos T, Gray K, Griffin SM, Gronfeldt B, Gümren M, Gurung RL, Halperin E, Harris E, Herzon V, Hruška M, Huang G, Hudecek MFC, Isler O, Jangard S, Jørgensen FJ, Kachanoff F, Kahn J, Dangol AK, Keudel O, Koppel L, Koverola M, Kubin E, Kunnari A, Kutiyski Y, Laguna O, Leota J, Lermer E, Levy J, Levy N, Li C, Long EU, Longoni C, Maglić M, McCashin D, Metcalf AL, Mikloušić I, El Mimouni S, Miura A, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nesh-Nash T, Nitschke JP, Nurse MS, Ohtsubo Y, Oldemburgo de Mello V, O'Madagain C, Onderco M, Palacios-Galvez MS, Palomäki J, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Pavlović Z, Payán-Gómez C, Perander S, Pitman MM, Prasad R, Pyrkosz-Pacyna J, Rathje S, Raza A, Rêgo GG, Rhee K, Robertson CE, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Santiago-Tovar N, Savage D, Scheffer JA, Schönegger P, Schultner DT, Schutte EM, Scott A, Sharma M, Sharma P, Skali A, Stadelmann D, Stafford CA, Stanojević D, Stefaniak A, Sternisko A, Stoica A, Stoyanova KK, Strickland B, Sundvall J, Thomas JP, Tinghög G, Torgler B, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Lange PAM, van Prooijen JW, van Rooy D, Västfjäll D, Verkoeijen P, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Wetter E, Whillans A, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, and Boggio PS

Published
2022
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14. National identity predicts public health support during a global pandemic.

Author

Van Bavel JJ, Cichocka A, Capraro V, Sjåstad H, Nezlek JB, Pavlović T, Alfano M, Gelfand MJ, Azevedo F, Birtel MD, Cislak A, Lockwood PL, Ross RM, Abts K, Agadullina E, Aruta JJB, Besharati SN, Bor A, Choma BL, Crabtree CD, Cunningham WA, De K, Ejaz W, Elbaek CT, Findor A, Flichtentrei D, Franc R, Gjoneska B, Gruber J, Gualda E, Horiuchi Y, Huynh TLD, Ibanez A, Imran MA, Israelashvili J, Jasko K, Kantorowicz J, Kantorowicz-Reznichenko E, Krouwel A, Laakasuo M, Lamm C, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Minda JP, Mitkidis P, Olsson A, Otterbring T, Packer DJ, Perry A, Petersen MB, Puthillam A, Riaño-Moreno JC, Rothmund T, Santamaría-García H, Schmid PC, Stoyanov D, Tewari S, Todosijević B, Tsakiris M, Tung HH, Umbreș RG, Vanags E, Vlasceanu M, Vonasch A, Yucel M, Zhang Y, Abad M, Adler E, Akrawi N, Mdarhri HA, Amara H, Amodio DM, Antazo BG, Apps M, Ay FC, Ba MH, Barbosa S, Bastian B, Berg A, Bernal-Zárate MP, Bernstein M, Białek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, Cameron CD, Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryańska M, Dabrowska J, Daniels MA, Davis VH, Dayley PN, Delouvee S, Denkovski O, Dezecache G, Dhaliwal NA, Diato AB, Di Paolo R, Drosinou M, Dulleck U, Ekmanis J, Ertan AS, Etienne TW, Farhana HH, Farkhari F, Farmer H, Fenwick A, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang JA, Gale J, Garcia-Navarro EB, Garladinne P, Ghajjou O, Gkinopoulos T, Gray K, Griffin SM, Gronfeldt B, Gümren M, Gurung RL, Halperin E, Harris E, Herzon V, Hruška M, Huang G, Hudecek MFC, Isler O, Jangard S, Jørgensen FJ, Kachanoff F, Kahn J, Dangol AK, Keudel O, Koppel L, Koverola M, Kubin E, Kunnari A, Kutiyski Y, Laguna O, Leota J, Lermer E, Levy J, Levy N, Li C, Long EU, Longoni C, Maglić M, McCashin D, Metcalf AL, Mikloušić I, El Mimouni S, Miura A, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nesh-Nash T, Nitschke JP, Nurse MS, Ohtsubo Y, Oldemburgo de Mello V, O'Madagain C, Onderco M, Palacios-Galvez MS, Palomäki J, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Pavlović Z, Payán-Gómez C, Perander S, Pitman MM, Prasad R, Pyrkosz-Pacyna J, Rathje S, Raza A, Rêgo GG, Rhee K, Robertson CE, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Santiago-Tovar N, Savage D, Scheffer JA, Schönegger P, Schultner DT, Schutte EM, Scott A, Sharma M, Sharma P, Skali A, Stadelmann D, Stafford CA, Stanojević D, Stefaniak A, Sternisko A, Stoica A, Stoyanova KK, Strickland B, Sundvall J, Thomas JP, Tinghög G, Torgler B, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Lange PAM, van Prooijen JW, van Rooy D, Västfjäll D, Verkoeijen P, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Wetter E, Whillans A, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, and Boggio PS

Subjects
COVID-19 epidemiology, COVID-19 prevention & control, COVID-19 psychology, Cross-Cultural Comparison, Health Behavior, Humans, Leadership, Pandemics prevention & control, Pandemics statistics & numerical data, SARS-CoV-2, Self Report, Social Identification, Pandemics legislation & jurisprudence, Public Health legislation & jurisprudence, Social Conformity
Abstract

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics., (© 2022. The Author(s).)

Published
2022
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