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1. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Amani, R, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, CM, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyasodor, AE, Aqeel, M, Arab, JP, Arabloo, J, Arafat, M, Aravkin, AY, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Arulappan, J, Aruleba, RT, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, AA, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, SS, Atinafu, BTT, Atlaw, HW, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, AF, Aweke, AM, Ayala Quintanilla, BP, Ayatollahi, H, Ayuso-Mateos, JL, Ayyoubzadeh, SM, Azadnajafabad, S, Azevedo, RMS, Azzam, AY, B, DB, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, AA, Baker, JL, Bako, AT, Bakshi, RK, Balakrishnan, S, Balasubramanian, M, Baltatu, OC, Bam, K, Banach, M, Bandyopadhyay, S, Banik, PC, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, JD, Basting, AVL, Basu, S, Batra, K, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, AH, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, DF, Béjot, Y, Belay, SA, Belete, CM, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bender, RG, Bensenor, IM, Beran, A, Berezvai, Z, Berhie, AY, Berice, BN, Bernstein, RS, Bertolacci, GJ, Bettencourt, PJG, Beyene, KA, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhandari, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhardwaj, PV, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bisulli, F, Biswas, A, Biswas, B, Bitaraf, S, Bitew, BD, Bitra, VR, Bjørge, T, Boachie, MK, Boampong, MS, Bobirca, AV, Bodolica, V, Bodunrin, AO, Bogale, EK, Bogale, KA, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borhany, H, Borzutzky, A, Bouaoud, S, Boustany, A, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brant, LC, Brauer, M, Brazinova, A, Brazo-Sayavera, J, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Briko, NI, Britton, G, Brown, J, Brugha, T, Bulamu, NB, Bulto, LN, Buonsenso, D, Burns, RA, Busse, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Cao, C, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Carvalheiro, CG, Carvalho, F, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Cederroth, CR, Cegolon, L, Cembranel, F, Cenderadewi, M, Cercy, KM, Cerin, E, Cevik, M, Chadwick, J, Chahine, Y, Chakraborty, C, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Chang, C-K, Chang, J-C, Chanie, GS, Charalampous, P, Chattu, VK, Chaturvedi, P, Chatzimavridou-Grigoriadou, V, Chaurasia, A, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Chen, S, Cheng, C-Y, Cheng, ETW, Cherbuin, N, Cheru, WA, Chien, J-H, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Chopra, H, Choudhari, SG, Chowdhury, R, Christopher, DJ, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cindi, Z, Cioffi, I, Claassens, MM, Claro, RM, Coberly, K, Cogen, RM, Columbus, A, Comfort, H, Conde, J, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Cousin, E, Couto, RAS, Cowden, RG, Cramer, KM, Criqui, MH, Cruz-Martins, N, Cuadra-Hernández, SM, Culbreth, GT, Cullen, P, Cunningham, M, Curado, MP, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, LL, Damiani, G, Darega Gela, J, Das, JK, Das, S, Dascalu, AM, Dash, NR, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, CA, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, AT, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, BH, Demetriades, AK, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, DC, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, VR, Dias da Silva, D, Diaz, D, Diaz, MJ, Dima, A, Ding, DD, Ding, H, Dinis-Oliveira, RJ, Dirac, MA, Djalalinia, S, Do, THP, do Prado, CB, Doaei, S, Dodangeh, M, Dohare, S, Dokova, KG, Dolecek, C, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, dos Santos, WM, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Du, M, Dube, J, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dwyer-Lindgren, L, Dzianach, PA, Dziedzic, AM, E'mar, AR, Eboreime, E, Ebrahimi, A, Echieh, CP, Edinur, HA, Edvardsson, D, Edvardsson, K, Efendi, D, Efendi, F, Effendi, DE, Eikemo, TA, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Sayed, I, Elbarazi, I, Elema, TB, Elemam, NM, Elgar, FJ, Elgendy, IY, ElGohary, GMT, Elhabashy, HR, Elhadi, M, El-Huneidi, W, Elilo, LT, Elmeligy, OAA, Elmonem, MA, Elshaer, M, Elsohaby, I, Emeto, TI, Engelbert Bain, L, Erkhembayar, R, Esezobor, CI, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Esubalew, H, Etaee, F, Fabin, N, Fadaka, AO, Fagbamigbe, AF, Fahim, A, Fahimi, S, Fakhri-Demeshghieh, A, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasanmi, AO, Fatehizadeh, A, Fattahi, H, Fauk, NK, Fazeli, P, Feigin, VL, Feizkhah, A, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrante, D, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Flavel, J, Flood, D, Florin, BT, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, B, Foroutan, M, Forthun, I, Fortuna, D, Foschi, M, Fowobaje, KR, Francis, KL, Franklin, RC, Freitas, A, Friedman, J, Friedman, SD, Fukumoto, T, Fuller, JE, Fux, B, Gaal, PA, Gadanya, MA, Gaidhane, AM, Gaihre, S, Gakidou, E, Galali, Y, Galles, NC, Gallus, S, Ganbat, M, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia-Gordillo, MA, Gardner, WM, Garg, J, Garg, N, Gautam, RK, Gbadamosi, SO, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremeskel, TG, Georgescu, SR, Getachew, T, Gething, PW, Getie, M, Ghadiri, K, Ghahramani, S, Ghailan, KY, Ghasemi, M-R, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghashghaee, A, Ghassemi, F, Ghazy, RM, Ghimire, A, Ghoba, S, Gholamalizadeh, M, Gholamian, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Ghorbani Vajargah, P, Ghoshal, AG, Gill, PS, Gill, TK, Gillum, RF, Ginindza, TG, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Godinho, MA, Goel, A, Golchin, A, Goldust, M, Golechha, M, Goleij, P, Gomes, NGM, Gona, PN, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Goulart, BNG, Goyal, A, Grada, A, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Gudeta, MD, Guha, A, Guicciardi, S, Guimarães, RA, Gulati, S, Gunawardane, DA, Gunturu, S, Guo, C, Gupta, AK, Gupta, B, Gupta, MK, Gupta, M, Gupta, RD, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Gurmessa, L, Gutiérrez, RA, Habibzadeh, F, Habibzadeh, P, Haddadi, R, Hadei, M, Hadi, NR, Haep, N, Hafezi-Nejad, N, Hailu, A, Haj-Mirzaian, A, Halboub, ES, Hall, BJ, Haller, S, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hamilton, EB, Han, C, Han, Q, Hanif, A, Hanifi, N, Hankey, GJ, Hanna, F, Hannan, MA, Haque, MN, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MT, Hasani, H, Hasanian, M, Hashi, A, Hasnain, MS, Hassan, I, Hassanipour, S, Hassankhani, H, Haubold, J, Havmoeller, RJ, Hay, SI, He, J, Hebert, JJ, Hegazi, OE, Heidari, G, Heidari, M, Heidari-Foroozan, M, Helfer, B, Hendrie, D, Herrera-Serna, BY, Herteliu, C, Hesami, H, Hezam, K, Hill, CL, Hiraike, Y, Holla, R, Horita, N, Hossain, MM, Hossain, S, Hosseini, M-S, Hosseinzadeh, H, Hosseinzadeh, M, Hosseinzadeh Adli, A, Hostiuc, M, Hostiuc, S, Hsairi, M, Hsieh, VC-R, Hsu, RL, Hu, C, Huang, J, Hultström, M, Humayun, A, Hundie, TG, Hussain, J, Hussain, MA, Hussein, NR, Hussien, FM, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Ibrahim, KS, Iftikhar, PM, Ijo, D, Ikiroma, AI, Ikuta, KS, Ikwegbue, PC, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inamdar, S, Indriasih, E, Iqhrammullah, M, Iradukunda, A, Iregbu, KC, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iyamu, IO, Iyer, M, J, LM, Jaafari, J, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jafarzadeh, A, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, N, Jairoun, AA, Jaiswal, A, Jamshidi, E, Janko, MM, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jebai, R, Jee, SH, Jeganathan, J, Jha, AK, Jha, RP, Jiang, H, Jin, Y, Johnson, O, Jokar, M, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Joshy, G, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kadir, DH, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamal, VK, Kamarajah, SK, Kamath, R, Kamiab, Z, Kamyari, N, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmanthareddy, AR, Kanmiki, EW, Kanmodi, KK, Kannan S, S, Kansal, SK, Kantar, RS, Kapoor, N, Karajizadeh, M, Karanth, SD, Karasneh, RA, Karaye, IM, Karch, A, Karim, A, Karimi, SE, Karimi Behnagh, A, Kashoo, FZ, Kasnazani, QHA, Kasraei, H, Kassebaum, NJ, Kassel, MB, Kauppila, JH, Kaur, N, Kawakami, N, Kayode, GA, Kazemi, F, Kazemian, S, Kazmi, TH, Kebebew, GM, Kebede, AD, Kebede, F, Keflie, TS, Keiyoro, PN, Keller, C, Kelly, JT, Kempen, JH, Kerr, JA, Kesse-Guyot, E, Khajuria, H, Khalaji, A, Khalid, N, Khalil, AA, Khalilian, A, Khamesipour, F, Khan, A, Khan, G, Khan, I, Khan, IA, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khan, ZA, Khan suheb, MZ, Khanmohammadi, S, Khatab, K, Khatami, F, Khatatbeh, H, Khatatbeh, MM, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khorgamphar, M, Khormali, M, Khorrami, Z, Khosravi, A, Khosravi, MA, Kifle, ZD, Kim, G, Kim, J, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kinzel, KE, Kisa, A, Kisa, S, Klu, D, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Kocsis, T, Koh, DSQ, Kolahi, A-A, Kolves, K, Kompani, F, Koren, G, Kosen, S, Kostev, K, Koul, PA, Koulmane Laxminarayana, SL, Krishan, K, Krishna, H, Krishna, V, Krishnamoorthy, V, Krishnamoorthy, Y, Krohn, KJ, Kuate Defo, B, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, H, Kumar, M, Kumar, R, Kumari, M, Kumie, FT, Kundu, S, Kurmi, OP, Kusnali, A, Kusuma, D, Kwarteng, A, Kyriopoulos, I, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lagat, AK, Lager, ACJ, Lahmar, A, Lai, DTC, Lal, DK, Lalloo, R, Lallukka, T, Lam, H, Lám, J, Landrum, KR, Lanfranchi, F, Lang, JJ, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lassi, ZS, Latief, K, Latifinaibin, K, Lauriola, P, Le, NHH, Le, TTT, Le, TDT, Ledda, C, Ledesma, JR, Lee, M, Lee, PH, Lee, SW, Lee, SWH, Lee, W-C, Lee, YH, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Li, M-C, Li, W, Li, X, Li, Y, Li, Z, Ligade, VS, Likaka, ATM, Lim, L-L, Lim, SS, Lindstrom, M, Linehan, C, Liu, C, Liu, G, Liu, J, Liu, R, Liu, S, Liu, X, Llanaj, E, Loftus, MJ, López-Bueno, R, Lopukhov, PD, Loreche, AM, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Lugo, A, Lunevicius, R, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madadizadeh, F, Madsen, C, Madureira-Carvalho, ÁM, Maghazachi, AA, Maharaj, SB, Mahjoub, S, Mahmoud, MA, Mahmoudi, A, Mahmoudi, E, Mahmoudi, R, Majeed, A, Makhdoom, IF, Malakan Rad, E, Maled, V, Malekzadeh, R, Malhotra, AK, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Mamun, AA, Mansouri, P, Mansournia, MA, Mantovani, LG, Maqsood, S, Marasini, BP, Marateb, HR, Maravilla, JC, Marconi, AM, Mardi, P, Marino, M, Marjani, A, Martinez, G, Martinez-Guerra, BA, Martinez-Piedra, R, Martini, D, Martini, S, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Masaka, A, Masrie, A, Mathieson, S, Mathioudakis, AG, Mathur, MR, Mattumpuram, J, Matzopoulos, R, Maude, RJ, Maugeri, A, Maulik, PK, Mayeli, M, Mazaheri, M, Mazidi, M, McGrath, JJ, McKee, M, McKowen, ALW, McLaughlin, SA, McPhail, SM, Mechili, EA, Medina, JRC, Mediratta, RP, Meena, JK, Mehra, R, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Mekene Meto, T, Meles, GG, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mengist, B, Mentis, A-FA, Meo, SA, Meresa, HA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mesfin, BA, Mestrovic, T, Mettananda, KCD, Mettananda, S, Meylakhs, P, Mhlanga, A, Mhlanga, L, Mi, T, Miazgowski, T, Micha, G, Michalek, IM, Miller, TR, Mills, EJ, Minh, LHN, Mini, GK, Mir Mohammad Sadeghi, P, Mirica, A, Mirijello, A, Mirrakhimov, EM, Mirutse, MK, Mirzaei, M, Misganaw, A, Mishra, A, Misra, S, Mitchell, PB, Mithra, P, Mittal, C, Mobayen, M, Moberg, ME, Mohamadkhani, A, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad-Alizadeh-Charandabi, S, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammed, H, Mohammed, M, Mohammed, S, Mohan, V, Mojiri-Forushani, H, Mokari, A, Mokdad, AH, Molinaro, S, Molokhia, M, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moradzadeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosser, JF, Motappa, R, Mougin, V, Mouodi, S, Mousavi, P, Mousavi, SE, Mousavi Khaneghah, A, Mpolya, EA, Mrejen, M, Mubarik, S, Muccioli, L, Mueller, UO, Mughal, F, Mukherjee, S, Mulita, F, Munjal, K, Murillo-Zamora, E, Musaigwa, F, Musallam, KM, Mustafa, A, Mustafa, G, Muthupandian, S, Muthusamy, R, Muzaffar, M, Myung, W, Nagarajan, AJ, Nagel, G, Naghavi, P, Naheed, A, Naik, 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Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, and Murray, CJL
Published: 2024

2. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Asika, MO, Askari, E, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awotidebe, AW, Awuviry-Newton, K, Ayala Quintanilla, BP, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bah, S, Bai, R, Baker, JL, Bakkannavar, SM, Bako, AT, Balakrishnan, S, Bam, K, Banik, PC, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Barqawi, HJ, Barrow, A, Barteit, S, Barua, L, Bashiri Aliabadi, S, Basiru, A, Basu, S, Bathini, PP, Batra, K, Baune, BT, Bayileyegn, NS, Behnam, B, Behnoush, AH, Beiranvand, M, Bejarano Ramirez, DF, Bell, ML, Bello, OO, Beloukas, A, Bensenor, IM, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bitra, VR, Bjørge, T, Bodolica, V, Bodunrin, AO, Bogale, EK, Bonakdar Hashemi, M, Bonny, A, Bora Basara, B, Borhany, H, Boxe, C, Brady, OJ, Bragazzi, NL, Braithwaite, D, Brant, LC, Brauer, M, Breitner, S, Brenner, H, Brown, J, Brugha, T, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, Byun, J, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos-Nonato, IR, Cao, C, Capodici, A, Carr, S, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catapano, AL, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenderadewi, M, Cerin, E, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Charalampous, P, Chattu, VK, Chatzimavridou-Grigoriadou, V, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, NM, Cheng, ETW, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Cho, WCS, Choi, S, Chong, B, Chong, YY, Choudhari, SG, Chowdhury, R, Christensen, SWM, Chu, D-T, Chukwu, IS, Chung, E, Chutiyami, M, Claassens, MM, Cogen, RM, Columbus, A, Conde, J, Cortesi, PA, Cousin, E, Criqui, MH, Cruz-Martins, N, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalaba, MA, Damiani, G, Das, JK, Das, S, Dashti, M, Dávila-Cervantes, CA, Davletov, K, De Leo, D, Debele, AT, Debopadhaya, S, DeCleene, NK, Deeba, F, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Demetriades, AK, Denova-Gutiérrez, E, Dervenis, N, Desai, HD, Desai, R, Deuba, K, Dhama, K, Dharmaratne, SD, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dirac, MA, Do, THP, do Prado, CB, Dohare, S, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorsey, ER, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Edinur, HA, 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S, Hsu, JM, Huang, J, Hugo, FN, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Hwang, B-F, Iannucci, VC, Ihler, AL, Ikiroma, AI, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Irham, LM, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Isola, G, Iwagami, M, Iwu, CCD, Iyer, M, Jaafari, J, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Jaiswal, A, Jakovljevic, M, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jee, SH, Jeganathan, J, Jeyakumar, A, Jha, AK, Jiang, H, Jin, Y, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamenov, K, Kamyari, N, Kanagasabai, T, Kandel, H, Kanmanthareddy, AR, Kanmodi, KK, Kantar, RS, Karaye, IM, Karim, A, Karimi, SE, Karimi, Y, Kasraei, H, Kassel, MB, Kauppila, JH, Kawakami, N, Kayode, 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KH, Jadidi-Niaragh, F, Jafarinia, M, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Jaiswal, A, Jakovljevic, M, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jee, SH, Jeganathan, J, Jeyakumar, A, Jha, AK, Jiang, H, Jin, Y, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamenov, K, Kamyari, N, Kanagasabai, T, Kandel, H, Kanmanthareddy, AR, Kanmodi, KK, Kantar, RS, Karaye, IM, Karim, A, Karimi, SE, Karimi, Y, Kasraei, H, Kassel, MB, Kauppila, JH, Kawakami, N, Kayode, GA, Kazemi, F, Kazemian, S, Keikavoosi-Arani, L, Keller, C, Kempen, JH, Kerr, JA, Keshtkar, K, Kesse-Guyot, E, Keykhaei, M, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, A, Khan, I, Khan, M, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatami, F, Khatatbeh, MM, Khater, AM, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Kifle, ZD, Kim, MS, Kimokoti, RW, Kisa, A, Kisa, S, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Koh, HY, Kolahi, A-A, Kompani, F, Koren, G, Korzh, O, Kosen, S, Koulmane Laxminarayana, SL, Krishan, K, Krishna, V, Krishnamoorthy, V, Kuate Defo, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kulkarni, V, Kumar, M, Kumar, N, Kumar, R, Kurmi, OP, Kusuma, D, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lafranconi, A, Lahariya, C, Lai, DTC, Lal, DK, Lalloo, R, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Le, H-H, Le, LKD, Le, NHH, Le, TDT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, W-C, Lee, YH, LeGrand, KE, Lenzi, J, Leong, E, Leung, J, Li, M-C, Li, W, Li, X, Li, Y, Lim, L-L, Lim, SS, Lindstrom, M, Linn, S, Liu, G, Liu, R, Liu, S, Liu, W, Liu, X, Llanaj, E, Lo, C-H, López-Bueno, R, Loreche, AM, Lorenzovici, L, Lozano, R, Lubinda, J, Lucchetti, G, Lunevicius, R, Lusk, JB, lv, H, Ma, ZF, Machairas, N, Madureira-Carvalho, ÁM, Magaña Gómez, JA, Maghazachi, AA, Maharjan, P, Mahasha, PW, Maheri, M, Mahjoub, S, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makris, KC, Malakan Rad, E, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Manla, Y, Mansour, A, Mansouri, P, Mansournia, MA, Mantilla Herrera, AM, Mantovani, LG, Manu, E, Marateb, HR, Mardi, P, Martinez, G, Martinez-Piedra, R, Martini, D, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Mathangasinghe, Y, Mathieson, S, Mathioudakis, AG, Mattumpuram, J, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, McKowen, ALW, McPhail, MA, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Mekene Meto, T, Mendoza, W, Menezes, RG, Mensah, GA, Mentis, A-FA, Meo, SA, Meresa, HA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Mettananda, KCD, Mettananda, S, Michalek, IM, Miller, PA, Miller, TR, Mills, EJ, Minh, LHN, Mirijello, A, Mirrakhimov, EM, Mirutse, MK, Mirza-Aghazadeh-Attari, M, Mirzaei, M, Mirzaei, R, Misganaw, A, Mishra, AK, Mitchell, PB, Mittal, C, Moazen, B, Moberg, ME, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammadi, E, Mohammadi, S, Mohammed, H, Mohammed, S, Mohr, RM, Mokdad, AH, Molinaro, S, Momtazmanesh, S, Monasta, L, Mondello, S, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mouodi, S, Mrejen, M, Msherghi, A, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Murlimanju, BV, Mustafa, G, Muthu, S, Muzaffar, M, Myung, W, Nagarajan, AJ, Naghavi, P, Naik, GR, Nainu, F, Nair, S, Najmuldeen, HHR, Nangia, V, Naqvi, AA, Narayana, AI, Nargus, S, Nascimento, GG, Nashwan, AJ, Nasrollahizadeh, A, Natto, ZS, Nayak, BP, Nayak, VC, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nesbit, OD, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, DH, Nguyen, HQ, Niazi, RK, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Norrving, B, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nurrika, D, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odetokun, IA, O'Donnell, MJ, Oguntade, AS, Oguta, JO, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Omar, HA, Omer, GL, Omonisi, AEE, Onie, S, Onwujekwe, OE, Ordak, M, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Ortiz-Brizuela, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, P A, MP, Padron-Monedero, A, Padubidri, JR, Palicz, T, Palladino, C, Pan, F, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantea Stoian, AM, Pardhan, S, Parikh, RR, Pashaei, A, Pasovic, M, Passera, R, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, MO, Perianayagam, A, Perico, N, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Pigott, DM, Pillay, JD, Piracha, ZZ, Pirouzpanah, S, Plass, D, Plotnikov, E, Poddighe, D, Polinder, S, Postma, MJ, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakash, V, Prasad, M, Prates, EJS, Priscilla, T, Pritchett, N, Puri, P, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Rahim, MJ, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, S, Rahmanian, M, Rahmawaty, S, Rajaa, S, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, K, Rao, M, Rao, SJ, Rashidi, M-M, Rathnaiah Babu, G, Rauniyar, SK, Rawaf, DL, Rawaf, S, Razo, C, Reddy, MMRK, Redwan, EMM, Reifels, L, Reiner Jr, RC, Remuzzi, G, Renzaho, AMN, Reshmi, B, Reyes, LF, Rezaei, N, Rezaei Hachesu, P, Rezaeian, M, Rickard, J, Rodrigues, CF, Rodriguez, JAB, Roever, L, Ronfani, L, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Roy, N, Roy, P, Rubagotti, E, S N, C, Saad, AMA, Saber-Ayad, MM, Sabour, S, Sacco, S, Sachdev, PS, Saddik, B, Saddler, A, Sadee, BA, Sadeghi, E, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Sagoe, D, Saif, Z, Sajid, MR, Sakshaug, JW, Salam, N, Salami, AA, Salaroli, LB, Saleh, MA, Salem, MR, Salem, MZY, Sallam, M, Samadzadeh, S, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santos, IS, Santric-Milicevic, MM, Sarasmita, MA, Sarikhani, Y, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sarveazad, A, Sathian, B, Sathyanarayan, A, Satpathy, M, Sawhney, M, Scarmeas, N, Schaarschmidt, BM, Schmidt, MI, Schneider, IJC, Schumacher, AE, Schwebel, DC, Schwendicke, F, Sedighi, M, Senapati, S, Senthilkumaran, S, Sepanlou, SG, Sethi, Y, Setoguchi, S, Seylani, A, Shadid, J, Shafie, M, Shah, H, Shah, NS, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahwan, MJ, Shaikh, MA, Shakeri, A, Shalash, AS, Sham, S, Shamim, MA, Shamshirgaran, MA, Shamsi, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharifan, A, Sharifi-Rad, J, Sharma, M, Sharma, R, Sharma, S, Sharma, U, Sharma, V, Shastry, RP, Shavandi, A, Shayan, AM, Shayan, M, Shehabeldine, AME, Shetty, PH, Shibuya, K, Shifa, JE, Shiferaw, D, Shiferaw, WS, Shigematsu, M, Shiri, R, Shitaye, NA, Shittu, A, Shivakumar, KM, Shivarov, V, Shokati Eshkiki, Z, Shool, S, Shrestha, S, Shuval, K, Sibhat, MM, Siddig, EE, Sigfusdottir, ID, Silva, DAS, Silva, JP, Silva, LMLR, Silva, S, Simpson, CR, Singal, A, Singh, A, Singh, BB, Singh, H, Singh, JA, Singh, M, Singh, P, Skou, ST, Sleet, DA, Slepak, ELN, Solanki, R, Soliman, SSM, Song, S, Song, Y, Sorensen, RJD, Soriano, JB, Soyiri, IN, Spartalis, M, Sreeramareddy, CT, Stark, BA, Starodubova, AV, Stein, C, Stein, DJ, Steiner, C, Steiner, TJ, Steinmetz, JD, Steiropoulos, P, Stockfelt, L, Stokes, MA, Subedi, NS, Subramaniyan, V, Suemoto, CK, Suleman, M, Suliankatchi Abdulkader, R, Sultana, A, Sundström, J, Swain, CK, Szarpak, L, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabche, C, Tabish, M, Tadakamadla, SK, Taheri Abkenar, Y, Taheri Soodejani, M, Taherkhani, A, Taiba, J, Talaat, IM, Talukder, A, Tampa, M, Tamuzi, JL, Tan, K-K, Tandukar, S, Tang, H, Tavakoli Oliaee, R, Tavangar, SM, Teimoori, M, Temsah, M-H, Teramoto, M, Thangaraju, P, Thankappan, KR, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thomas, NK, Thum, CCC, Tichopad, A, Ticoalu, JHV, Tillawi, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Torre, AE, Touvier, M, Tovani-Palone, MR, Tran, JT, Tran, MTN, Tran, NM, Tran, N-H, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsegay, GM, Tsermpini, EE, Tumurkhuu, M, Tyrovolas, S, Udoh, A, Umair, M, Umakanthan, S, Umar, TP, Undurraga, EA, Unim, B, Unnikrishnan, B, Unsworth, CA, Upadhyay, E, Urso, D, Usman, JS, Vahabi, SM, Vaithinathan, AG, Van den Eynde, J, Varga, O, Varma, RP, Vart, P, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Violante, FS, Vlassov, V, Vollset, SE, Volovat, SR, Vongpradith, A, Waheed, Y, Wang, C, Wang, F, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Ward, P, Wassie, EG, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weiss, DJ, Weldemariam, AH, Wells, KM, Wen, YF, Whisnant, JL, Whiteford, HA, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wimo, A, Woldegebreal, DH, Wolf, AW, Wong, YJ, Woolf, AD, Wu, C, Wu, F, Wu, X, Wu, Z, Wulf Hanson, S, Xia, Y, Xiao, H, Xu, X, Xu, YY, Yadav, L, Yadollahpour, A, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Yazdanpanah, MH, Ye, P, Yehualashet, SS, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yismaw, Y, Yon, DK, Yonemoto, N, Younis, MZ, Yu, C, Yu, Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
Published: 2024

3. Molecular identification of Bifidobacterium sp. from local yoghurt and evaluation of growth inhibition activity against pathogenic bacteria

Author: Talukder, AP, primary, Haque, MN, additional, Mahmud, ML, additional, and Ekram, MAE, additional
Published: 2021
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4. Augmented intuition: a bridge between theory and practice

Author: Moscato, P, Mathieson, L, Haque, MN, Moscato, P, Mathieson, L, and Haque, MN
Abstract: Motivated by the celebrated paper of Hooker (J Heuristics 1(1): 33–42, 1995) published in the first issue of this journal, and by the relative lack of progress of both approximation algorithms and fixed-parameter algorithms for the classical decision and optimization problems related to covering edges by vertices, we aimed at developing an approach centered in augmenting our intuition about what is indeed needed. We present a case study of a novel design methodology by which algorithm weaknesses will be identified by computer-based and fixed-parameter tractable algorithmic challenges on their performance. Comprehensive benchmarkings on all instances of small size then become an integral part of the design process. Subsequent analyses of cases where human intuition “fails”, supported by computational testing, will then lead to the development of new methods by avoiding the traps of relying only on human perspicacity and ultimately will improve the quality of the results. Consequently, the computer-aided design process is seen as a tool to augment human intuition. It aims at accelerating and foster theory development in areas such as graph theory and combinatorial optimization since some safe reduction rules for pre-processing can be mathematically proved via theorems. This approach can also lead to the generation of new interesting heuristics. We test our ideas with a fundamental problem in graph theory that has attracted the attention of many researchers over decades, but for which seems it seems to be that a certain stagnation has occurred. The lessons learned are certainly beneficial, suggesting that we can bridge the increasing gap between theory and practice by a more concerted approach that would fuel human imagination from a data-driven discovery perspective.
Published: 2021

5. Influence of Phosphorus Levels on Growth and Yield of Four Lentil Varieties

Author: Sonet, RA, primary, Ali, MH, primary, Amin, AKMR, primary, Haque, MN, primary, and Masum, SM, primary
Published: 2020
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6. Effects of selected chemical admixtures on physical and mechanical properties of cement mortar

Author: Bethe, SS, primary, Haque, MN, primary, and Islam, MR, primary
Published: 2020
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7. A Memetic Algorithm Approach to Network Alignment

Author: Haque, MN, Mathieson, L, and Moscato, P
Published: 2019

8. A memetic algorithm approach to network alignment: Mapping the classification of mental disorders of DSM-IV with ICD-10

Author: Haque, MN, Mathieson, L, Moscato, P, Haque, MN, Mathieson, L, and Moscato, P
Abstract: © 2019 Association for Computing Machinery. Given two graphs modelling related, but possibly distinct, networks, the alignment of the networks can help identify signiicant structures and substructures which may relate to the functional purpose of the network components. The Network Alignment Problem is the NP-hard computational formalisation of this goal and is a useful technique in a variety of data mining and knowledge discovery domains. In this paper we develop a memetic algorithm to solve the Network Alignment Problem and demonstrate the efectiveness of the approach on a series of biological networks against the existing state of the art alignment tools. We also demonstrate the use of network alignment as a clustering and classiication tool on two mental health disorder diagnostic databases.
Published: 2019

9. A memetic algorithm for community detection by maximising the connected cohesion

Author: Haque, MN, Mathieson, L, Moscato, P, Haque, MN, Mathieson, L, and Moscato, P
Abstract: © 2017 IEEE. Community detection is an exciting field of research which has attracted the interest of many researchers during the last decade. While many algorithms and heuristics have been proposed to scale existing approaches a relatively smaller number of studies have looked at exploring different measures of quality of the detected community. Recently, a new score called 'cohesion' was introduced in the computing literature. The cohesion score is based comparing the number of triangles in a given group of vertices to the number of triangles only partly in that group. In this contribution, we propose a memetic algorithm that aims to find a subset of the vertices of an undirected graph that maximizes the cohesion score. The associated combinatorial optimisation problem is known to be NP-Hard and we also prove it to be W[1]-hard when parameterized by the score. We used a Local Search individual improvement heuristic to expand the putative solution. Then we removed all vertices from the group which are not a part of any triangle and expand the neighbourhood by adding triangles which have at least two nodes already in the group. Finally we compute the maximum connected component of this group. The highest quality solutions of the memetic algorithm have been obtained for four real-world network scenarios and we compare our results with ground-truth information about the graphs. We also compare the results to those obtained with eight other community detection algorithms via interrater agreement measures. Our results give a new lower bound on the parameterized complexity of this problem and give novel insights on its potential usefulness as a new natural score for community detection.
Published: 2018

10. Effect of genotype-environment interaction on grain yield of exotic rice (Oryza sativa L.) hybrids

Author: Kulsum, MU, primary, Hasan, MJ, primary, Haque, MN, primary, Uddin, M Shalim, primary, and Iftekharduddaula, KM, primary
Published: 2018
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11. Australian aid to generate appropriate technology in the South pacific region

Author: Technology for Developing Third World Countries (1988 : Brisbane, Qld.) and Haque, MN
Published: 1988

12. Study of Reinforcement Corrosion of Plain Versus Fly Ash Concrete

Author: National Structural Engineering Conference (1st : 1987 : Melbourne, Vic.), Khan, SP, Haque, MN, Samarin, A, and Yeomans, SR
Published: 1987

13. Effect of season on production and quality of milk of crossbred dairy cows at Sylhet district government dairy farm in Bangladesh

Author: Zaman, MA, primary, Ara, A, primary, and Haque, MN, primary
Published: 2017
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14. Multimetallic complexes and functionalized nanoparticles based on oxygen- and nitrogen-donor combinations

Author: Naeem S, Ribes A, White AJ, Haque MN, Holt KB, and Wilton-Ely JD
Abstract: The versatile precursors [Ru(CH-CHC6H4Me-4)Cl(CO)(BTD)(PPh3)2] (BTD = 2,1,3-benzothiadiazole) and [Ru(C(C=CPh)-CHPh)Cl(CO)(PPh3)2] were treated with isonicotinic acid, 4-cyanobenzoic acid, and 4-(4-pyridyl)benzoic acid under basic conditions to yield [Ru(vinyl)(O2CC5H4N)(CO)(PPh3)2], [Ru(vinyl)(O2CC6H4CN-4)(CO)(PPh3)2], and [Ru(vinyl){O2CC6H4(C5H4N)-4}(CO)(PPh3)2], respectively. The osmium analogue [Os(CH-CHC6H4Me-4)(O2CC5H4N)(CO)(PPh3)2] was also prepared. cis-[RuCl2(dppm)2] was used to prepare the cationic compounds [Ru(O2CC5H4N)(dppm)2](+) and [Ru{O2CC6H4(C5H4N)-4}(dppm)2](+). The treatment of 2 equiv of [Ru(C(C=CPh)-CHPh)(O2CC5H4N)(CO)(PPh3)2] and [Ru(O2CC5H4N)(dppm)2](+) with AgOTf led to the trimetallic compounds [{Ru(C(C=CPh)-CHPh)(CO)(PPh3)2(O2CC5H4N)}2Ag](+) and [{Ru(dppm)2(O2CC5H4N)}2Ag](3+). In a similar manner, the reaction of [Ru(O2CC5H4N)(dppm)2](+) with PdCl2 or K2PtCl4 yielded [{Ru(dppm)2(O2CC5H4N)}2MCl2](2+) (M = Pd, Pt). The reaction of [RuHCl(CO)(BTD)(PPh3)2] with HC=CC6H4F-4 provided [Ru(CH-CHC6H4F-4)Cl(CO)(BTD)(PPh3)2], which was treated with isonicotinic acid and base to yield [Ru(CH-CHC6H4F-4)(O2CC5H4N)(CO)(PPh3)2]. The addition of [Au(C6F5)(tht)] (tht = tetrahydrothiophene) resulted in the formation of [Ru(CH-CHC6H4F-4){O2CC5H4N(AuC6F5)}(CO)(PPh3)2]. Similarly, [Ru(vinyl)(O2CC6H4CN-4)(CO)(PPh3)2] reacted with [Au(C6F5)(tht)] to provide [Ru(vinyl){O2CC6H4(CNAuC6F5)-4}(CO)(PPh3)2]. The reaction of 4-cyanobenzoic acid with [Au(C6F5)(tht)] yielded [Au(C6F5)(NCC6H4CO2H-4)]. This compound was used to prepare [Ru(CH-CHC6H4F-4){O2CC6H4(CNAuC6F5)-4}(CO)(PPh3)2], which was also formed on treatment of [Ru(CH-CHC6H4F-4)(O2CC6H4CN-4)(CO)(PPh3)2] with [Au(C6F5)(tht)]. The known compound [RhCl2(NC5H4CO2)(NC5H4CO2Na)3] and the new complex [RhCl2{NC5H4(C6H4CO2)-4}{NC5H4(C6H4CO2Na)-4}3] were prepared from RhCl3·3H2O and isonicotinic acid or 4-(4-pyridyl)benzoic acid, respectively. The former was treated with [Ru(CH-CHC6H4Me-4)Cl(CO)(BTD)(PPh3)2] to yield [RhCl2{NC5H4CO2(Ru(CH-CHC6H4Me-4)(CO)(PPh3)2}4]Cl. As an alternative route to pentametallic compounds, the Pd-coordinated porphyrin [(Pd-TPP)(p-CO2H)4] was treated with 4 equiv of [Ru(CH-CHR)Cl(CO)(BTD)(PPh3)2] in the presence of a base to yield [(Pd-TPP){p-CO2Ru(CH-CHR)(CO)(PPh3)2}4] (R = C6H4Me-4, CPh2OH). Where R = CPh2OH, treatment with HBF4 led to the formation of [(Pd-TPP){p-CO2Ru(-CHCH-CPh2)(CO)(PPh3)2}4](BF4)4. [(Pd-TPP){p-CO2Ru(dppm)2}4](PF6)4 was prepared from [(Pd-TPP)(p-CO2H)4] and cis-[RuCl2(dppm)2]. The reaction of AgNO3 with sodium borohydride in the presence of [Ru(O2CC5H4N)(dppm)2](+) or [RuR{O2CC6H4(C5H4N)-4}(dppm)2](+) provided silver nanoparticles Ag@[NC5H4CO2Ru(dppm)2](+) and Ag@[NC5H4{C6H4CO2Ru(dppm)2}-4](+).
Published: 2013

15. Effect of Water Quality, Environmental Sanitation and Hygiene Practices on Health of School Going Children of Urban Slum Areas

Author: Haque, MA, primary, Haque, MN, primary, Sultana, MM, primary, Hossen, SM, primary, and Paul, S, primary
Published: 2015
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16. Effect of NPK and plant extracted pyroligneous acid on yield of Boro rice

Author: Masum, SM, primary, Ali, MH, primary, Chowdhury, IF, primary, Mandal, MSH, primary, and Haque, MN, primary
Published: 2015
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17. Integrated Management of Jassid in Groundnut

Author: Monim, MA, primary, Haque, MN, primary, Bari, GM, primary, Rahaman, MS, primary, and Rahman, MZ, primary
Published: 2015
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18. The Incidence of Tuberculous Cervical Lymphadenitis- Three Year Study of Sixty Cases

Author: Rahman, MM, primary, Haque, MN, primary, Kadir, MA, primary, Kallol, MR, primary, and Wanaiza, Dr, primary
Published: 2014
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19. Effect of non genetic factors on productive traits of Black Bengal goats

Author: Mahal, Zinat, primary, Khandoker, MAMY, primary, and Haque, MN, primary
Published: 2014
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20. Productive and Reproductive Performance of Different Crossbred Cattle at Sylhet Govt. Dairy Farm

Author: Haque, MN, primary, Haque, MR, primary, Parvin, A, primary, and Hussain, MM, primary
Published: 2013
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21. Tension Free Mesh Repair is an Effective Treatment of Inguinal Hernia: An Observational Study

Author: Haque, SS, primary, Islam, MT, primary, Haque, MN, primary, Rahman, MM, primary, and Ahmed, A, primary
Published: 2013
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22. Autoimmune Pancreatitis Presenting as Obstruction Jaundice

Author: Rahman, MA, primary, Datta, IK, primary, Bhuyian, R, primary, Bhuiyan, TM, primary, Kabir, MM, primary, Haque, MN, primary, Azam, MG, primary, Mamoon, MA, primary, and Mohsin, MN, primary
Published: 2012
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23. Proximate composition of six shrimp species in Bangladesh

Author: Rahman, SM, primary, Haque, MN, additional, Siddique, MN, additional, Ara, H, additional, and Ahsan, MN, additional
Published: 2007
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24. TEMPERATURE AND HUMIDITY EFFECT ON THE STRENGTH OF PLAIN AND FLYASH CO NCRETE.

Author: HAQUE, MN, primary and GOPALAN, MK, additional
Published: 1987
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25. Optimization of Aeration Technique for the Reduction of Impurities (Corrosive Gases) from Biogas

Author: Sujan, SMA, primary, Bashar, MS, primary, Rahaman, M, primary, Haque, MN, primary, Miah, MY, primary, Jamal, MS, primary, and Banik, SK, primary
Published: 1970
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26. Anthropometric Assessment for Adolescent Pregnancy: A Descriptive Study on Married Adolescents in Bangladesh

Author: Haque, MN, primary
Published: 1970
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27. A Review On Antibiotics In An Animal Feed

Author: Chowdhury, R, primary, Haque, MN, primary, Islam, KMS, primary, and Khaleduzzaman, ABM, primary
Published: 1970
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28. Propionic Acid Is An Alternative To Antibiotics In Poultry Diet

Author: Haque, MN, primary, Chowdhury, R, primary, Islam, KMS, primary, and Akbar, MA, primary
Published: 1970
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29. Potassium Diformate : A New Alternative To Antibiotic Growth Promoters

Author: Chowdhury, R, primary, Haque, MN, primary, Islam, KMS, primary, and Khan, MJ, primary
Published: 1970
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30. Inertial coupling of the hummingbird body in the flight mechanics of an escape manoeuvre.

Author: Haque MN, Tobalske BW, Cheng B, and Luo H
Subjects: Animals, Biomechanical Phenomena, Models, Biological, Escape Reaction physiology, Flight, Animal physiology, Birds physiology
Abstract: When a hovering hummingbird performs a rapid escape manoeuvre in response to a perceived threat from the front side, its body may go through simultaneous pitch, yaw and roll rotations. In this study, we examined the inertial coupling of the three-axis body rotations and its effect on the flight mechanics of the manoeuvre using analyses of high-speed videos as well as high-fidelity computational modelling of the aerodynamics and inertial forces. We found that while a bird's pitch-up was occurring, inertial coupling between yaw and roll helped slow down and terminate the pitch, thus serving as a passive control mechanism for the manoeuvre. Furthermore, an inertial coupling between pitch-up and roll can help accelerate yaw before the roll-yaw coupling. Different from the aerodynamic mechanisms that aircraft and animal flyers typically rely on for flight control, we hypothesize that inertial coupling is a built-in mechanism in the flight mechanics of hummingbirds that helps them achieve superb aerial agility.
Published: 2024
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31. The Effects of Co-Exposure to Antifoulants and Microplastics on the Survival, Oxidative Status, and Cholinergic System of a Marine Mysid.

Author: Lee S, Haque MN, Lee DH, and Rhee JS
Abstract: Antifoulants such as copper pyrithione (CuPT) and zinc pyrithione (ZnPT) are widespread and hazardous pollutants in aquatic environments. The presence of microplastics (MPs) introduces significant uncertainty regarding the toxicity of CuPT and ZnPT, as their effects can be influenced by MPs. There is a limited understanding of the toxic potential of CuPT and ZnPT when they coexist with MPs. Here, the marine mysid Neomysis awatchensis was treated using no observed effect concentration (NOEC) values of CuPT and ZnPT premixed with MPs (1 µm; 1-100 particles mL -1 ). The presence of MPs increased the toxicity of the antifoulants in juvenile and adult mysids over 96 h. The additive effect of the MPs varied by chemical; feeding was only reduced by CuPT with MPs, whereas no fluctuation in feeding was observed in response to ZnPT with MPs. Co-exposure to antifoulants and MPs increased malonaldehyde levels, but the response of antioxidant components varied by chemical. In mysids co-exposed to CuPT and MPs, the activity levels of catalase and superoxide dismutase were decreased, whereas their enzymatic activity levels were elevated by co-exposure to ZnPT and MPs. Similarly, depletion of glutathione (GSH) was observed in mysids co-exposed to CuPT and MPs, with significant reductions in GSH reductase (GR) and peroxidase (GPx). However, the GSH level was increased by co-exposure to ZnPT and MPs, with elevations in GR and GPx activity levels. Significant inhibition of acetylcholinesterase activity was only observed in response to CuPT and MPs. These results suggest that MPs can increase toxicity via additive and/or synergistic effects through oxidative imbalance, but these effects of MPs can vary with different chemicals.
Published: 2024
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32. Urban greening in Dhaka: Assessing rooftop agriculture suitability using GIS and MCDM techniques.

Author: Sultana N, Sharifi A, Haque MN, and Aghaloo K
Subjects: Urbanization, Conservation of Natural Resources, Decision Making, Bangladesh, Agriculture, Geographic Information Systems, Cities
Abstract: Dhaka ranks among the world's most densely populated cities, with built-up areas expanding to accommodate the demands of a growing population. The rapid urbanization has reduced green space and exacerbated urban heat and pollution in the city. In the quest for a greener and healthier urban environment, rooftop agriculture has emerged as a promising solution, offering opportunities for the restoration of the environment and safe food production. Despite its potential, limited studies have explored the viability of this alternative greening solution for Dhaka. Therefore, this study aims to assess the suitability of rooftops for agricultural activities employing Geographic Information System (GIS) and Multi-Criteria Decision Making (MCDM) techniques. First, seven criteria were selected based on the literature, such as building age, height, rooftop size, building utility, property value, sunlight, and water availability. Second, an expert opinion survey was conducted using the Best Worst Method (BWM) to calculate the criteria's weights. Finally, the suitability map for Dhaka was derived by combining the criteria layers and was subsequently validated. Rooftop area and property value were identified as the most and least important criteria. Approximately 9% (6.27 km 2 ), 68% (46.59 km 2 ), 22% (15.15 km 2 ), and a negligible portion (0.1 km 2 ) of Dhaka city has been classified as highly suitable, suitable, moderately suitable, and not suitable, respectively, for rooftop agriculture. By identifying and promoting the most suitable locations for rooftop agriculture and highlighting existing opportunities, this research will help to initiate and expand sustainable agriculture practices that can contribute to climate change adaptation and urban resilience., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
Published: 2024
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33. Negligible additive effect of environmental concentrations of fragmented polyethylene terephthalate microplastics on the growth and reproductive performance of Java medaka exposed to 17β-estradiol and bisphenol A.

Author: Nam SE, Haque MN, Lee S, Kim CH, Kim TH, and Rhee JS
Subjects: Animals, Female, Male, Endocrine Disruptors toxicity, Vitellogenins metabolism, Oryzias physiology, Oryzias growth & development, Benzhydryl Compounds toxicity, Estradiol, Phenols toxicity, Microplastics toxicity, Water Pollutants, Chemical toxicity, Reproduction drug effects, Polyethylene Terephthalates toxicity
Abstract: To investigate whether environmental concentrations of fragmented polyethylene terephthalate (PET) microplastics (MPs) have additional or combined effects on endocrine-disrupting activity, Java medaka (Oryzias javanicus) were exposed to 17β-estradiol (E2; 5, 10, 50, and 100 ng L -1 ), bisphenol A (BPA; 5, 10, 50, and 100 µg L -1 ), and E2 and BPA combined with PET MPs (1 and 100 particles L -1 ) for 200 days. The growth parameters, such as body length and weight, were significantly decreased by the highest concentrations of E2 and BPA. A significant reduction in egg production was observed in female fish exposed to BPA, with an additive toxic effect of PET MPs. A female-biased sex ratio was observed in fish exposed to both chemicals. Exposure to E2 significantly increased the hepatosomatic index (HSI) in both sexes, while no significant effect was observed in the gonadosomatic index (GSI). Exposure to BPA significantly increased the HSI in female fish and decreased the GSI in both sexes of fish. An additive effect of PET MPs was observed on the GSI value of female exposed to BPA. Significant elevations in vitellogenin (VTG) levels were observed in both sexes due to exposure to E2 and BPA. Additive effects of PET MPs were observed on VTG levels in males exposed to E2 and BPA. Taken together, even long-term treatment with PET MPs induced only a negligible additive effect on the endocrine-disrupting activity in Java medaka at environmentally relevant concentrations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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34. New alternatives to the Lennard-Jones potential.

Author: Moscato P and Haque MN
Abstract: We present a new method for approximating two-body interatomic potentials from existing ab initio data based on representing the unknown function as an analytic continued fraction. In this study, our method was first inspired by a representation of the unknown potential as a Dirichlet polynomial, i.e., the partial sum of some terms of a Dirichlet series. Our method allows for a close and computationally efficient approximation of the ab initio data for the noble gases Xenon (Xe), Krypton (Kr), Argon (Ar), and Neon (Ne), which are proportional to r - 6 and to a very simple d e p t h = 1 truncated continued fraction with integer coefficients and depending on n - r only, where n is a natural number (with n = 13 for Xe, n = 16 for Kr, n = 17 for Ar, and n = 27 for Neon). For Helium (He), the data is well approximated with a function having only one variable n - r with n = 31 and a truncated continued fraction with d e p t h = 2 (i.e., the third convergent of the expansion). Also, for He, we have found an interesting d e p t h = 0 result, a Dirichlet polynomial of the form k 1 6 - r + k 2 48 - r + k 3 72 - r (with k 1 , k 2 , k 3 all integers), which provides a surprisingly good fit, not only in the attractive but also in the repulsive region. We also discuss lessons learned while facing the surprisingly challenging non-linear optimisation tasks in fitting these approximations and opportunities for parallelisation., (© 2024. Crown.)
Published: 2024
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35. Acute and chronic effects of triclosan on the behavior, physiology, and multigenerational characteristics of the water flea Moina macrocopa.

Author: Do SD, Haque MN, Kim J, Im DH, and Rhee JS
Subjects: Animals, Humans, Infant, Newborn, Acetylcholinesterase, Ecosystem, Triclosan toxicity, Cladocera, Water Pollutants, Chemical toxicity
Abstract: Triclosan, a chlorinated biphenyl ether is widely used in industrial products and cosmetics due to its antibiotic activity. Although relatively levels of triclosan have been detected in aquatic ecosystems, limited information is available regarding the acute and chronic impacts of triclosan on aquatic invertebrates, especially planktonic crustaceans. In this study, we analyzed the acute (24 h) and chronic (14 days exposure across three generations) effects of different concentrations of triclosan [1/10 of the no observed effect concentration (NOEC), the NOEC, and 1/10 of the LC50] calculated from the 24 h acute toxicity value, on the water flea Moina macrocopa. In the acute exposure experiment, the 1/10 LC50 value of triclosan significantly reduced survival, feeding rate, thoracic limb activity, heart activity, and acetylcholinesterase activity. In response to the 1/10 LC50 value, intracellular reactive oxygen species increased along with elevated levels of malondialdehyde and glutathione. Enzymatic activities of catalase, superoxide dismutase, glutathione peroxidase, and glutathione reductase were significantly increased by the 1/10 LC50 value, suggesting active protection of the antioxidant defense system against oxidative stress. Chronic exposure to the 1/10 NOEC and NOEC values revealed multigenerational adverse impacts of triclosan. The second generation was found to be the most sensitive to triclosan, as the NOEC value significantly reduced the survival rate, body length, and the number of neonates per brood, along with a delayed hatching period. Taken together, these results indicate that even sublethal levels of triclosan can have detrimental effects on the water flea population's maintenance through intergenerational toxicity., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)
Published: 2024
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36. Assessing the readiness of health facilities to provide family planning services in low-resource settings: Insights from nationally representative service provision assessment surveys in 10 Countries.

Author: Rahman M, Islam MJ, Adam IF, Duc NHC, Sarkar P, Haque MN, and Mostofa MG
Subjects: Humans, Cross-Sectional Studies, Sex Education, Tanzania, Health Services Accessibility, Family Planning Services, Health Facilities
Abstract: Background: Many low-income countries continue to have high fertility levels and unmet need for family planning (FP) despite progress in increasing access to modern contraceptive methods and in reducing the total fertility rate (TFR). Health facilities in sub-Saharan Africa (SSA) and South Asia (SA) are thought to be unable to adequately deal with the burden of high unmet FP demands due to their weaker health systems. As a result, determining the readiness of health facilities that offer FP services is critical for identifying weaknesses and opportunities for continued development of FP health systems in those regions. Service Provision Assessment (SPA) tools-which break down health systems into measurable, trackable components-are one useful way to assess service readiness and the ability of health institutions to deliver FP services., Methods: Using data from nationally representative SPA surveys, we conducted a study that aimed to: (1) evaluate healthcare facilities' readiness to provide FP services; and (2) identify the factors that affect FP service readiness. Using a cross-sectional survey design, we used data from SPA surveys conducted in 10 low-resource SA and SSA countries: Afghanistan, Bangladesh, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Tanzania, and the Democratic Republic of the Congo (DRC). We analyzed data from public and private health facilities in Afghanistan (84), Bangladesh (1,303), Kenya (567), Malawi (810), Namibia (357), Nepal (899), Rwanda (382), Senegal (334), Tanzania (933), and the DRC (1,061) for a total of 6,730 facilities. We used 17 items/indicators recommended by the Service Availability and Readiness Assessment to measure a health facility's readiness to provide FP services across four domains., Results: Only 3.6% to 34.1% of the health facilities were reporting at least 75% (12-13 of 17) of the relevant items for FP service provision. Most of the health facilities in the countries under investigation suffered from lack of readiness, meaning that they did not fulfill at least 75% of the standards (12-13 items of 17 items on the availability of trained staff and guidelines, equipment, and commodities components). The factors associated with higher readiness scores varied among the 10 countries analyzed. Regression models showed that increases in the number of FP healthcare providers available at a health facility and infection control measures for FP exams were factors linked to increased readiness scores in all 10 countries. The low readiness of health facilities to provide FP services in the countries studied showed that the health systems in these low-resource settings faced significant problems with providing FP services. Differences in country-specific variability in the characteristics linked with better preparedness ratings could be attributed to data collected across different years in different nations or to country-specific healthcare financing policies., Conclusions: To increase a health facility's readiness to offer FP services, country-specific factors must be addressed, in addition to common factors found in all 10 countries. Further research is required to determine the causes of country-level differences in FP tracer item availability to develop targeted and effective country-specific strategies to improve the quality of FP services in the SA and SSA regions and address unmet need for FP., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Rahman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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37. Hummingbirds use wing inertial effects to improve manoeuvrability.

Author: Haque MN, Cheng B, Tobalske BW, and Luo H
Subjects: Animals, Biomechanical Phenomena, Motion, Acceleration, Wings, Animal, Flight, Animal, Birds
Abstract: Hummingbirds outperform other birds in terms of aerial agility at low flight speeds. To reveal the key mechanisms that enable such unparalleled agility, we reconstructed body and wing motion of hummingbird escape manoeuvres from high-speed videos; then, we performed computational fluid dynamics modelling and flight mechanics analysis, in which the time-dependent forces within each wingbeat were resolved. We found that the birds may use the inertia of their wings to achieve peak body rotational acceleration around wing reversal when the aerodynamic forces were small. The aerodynamic forces instead counteracted the reversed inertial forces at a different wingbeat phase, thereby stabilizing the body from inertial oscillations, or they could become dominant and provide additional rotational acceleration. Our results suggest such an inertial steering mechanism was present for all four hummingbird species considered, and it was used by the birds for both pitch-up and roll accelerations. The combined inertial steering and aerodynamic mechanisms made it possible for the hummingbirds to generate instantaneous body acceleration at any phase of a wingbeat, and this feature is probably the key to understanding the unique dexterity distinguishing hummingbirds from other small-size flyers that solely rely on aerodynamics for manoeuvering.
Published: 2023
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38. Comparison of the effects of sublethal concentrations of biofoulants, copper pyrithione and zinc pyrithione on a marine mysid - A multigenerational study.

Author: Lee S, Haque MN, Lee DH, and Rhee JS
Subjects: Animals, Humans, Infant, Newborn, Pyridines toxicity, Crustacea, Acetylcholinesterase, Organometallic Compounds toxicity
Abstract: To determine the effect of copper pyrithione (CuPT) and zinc pyrithione (ZnPT), a set of acute (96 h-LC50) and chronic endpoints was studied in the marine mysid, Neomysis awatschensis. Based on the 1/10 NOECs and NOEC values calculated from 96 h-toxicity test, survival and growth, intermolt duration, feeding, and the number of newborn juveniles were measured by evaluating enzymatic activity of detoxification parameter glutathione S-transferase (GST) and cholinergic biomarker acetylcholinesterase (AChE) in the marine mysid exposed to 96 h-NOECs of CuPT and ZnPT for four weeks across three generations. Dose-dependent decreases in survival rate monitored for four weeks were observed with age-specific sensitivity in response to the 96 h-NOECs of both antifoulants. Higher growth retardation was observed with an increase in intermolt duration and inhibition of the feeding rate in CuPT-exposed mysid compared to ZnPT-exposed mysid across generations. The numbers of newborn juveniles significantly decreased at the third generation by exposure to the 96 h-NOECs of both antifoulants. GST activity was significantly inhibited in response to 96 h-NOECs of both antifoulants, whereas AChE activity was only reduced by the 96 h-NOECs of CuPT at the third generation. These results indicate that CuPT has a higher toxicity than ZnPT and even sublethal levels of CuPT and ZnPT would have detrimental effects on the maintenance of the mysid population. Finally, consistent exposure to environmentally relevant concentrations of CuPT and ZnPT can induce intergenerational toxicity in mysid., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)
Published: 2023
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39. Complete enucleation of a complicated solid pseudopapillary neoplasm of pancreas: A case report.

Author: Aman MS, Das BC, Haque MN, Sobhan SA, and Saha A
Abstract: Introduction: Solid pseudopapillary neoplasm (SPN) of the pancreas is a rare pancreatic tumor, usually affecting young females. It is categorized as a low-grade malignant tumor without any specific epithelial differentiation, which can occur anywhere in the pancreas., Case Presentation: Here, we present the case of a 35-year-old lady who presented to us with abdominal pain and a pancreatic mass. She had a prior laparotomy at a different center without any specific intervention for the lump. After presenting to our center, she was managed through proper evaluation and adequate preparation for surgery. The diagnosis was challenging, and so was the surgery. We had enucleated the lesion completely. Histopathology confirmed the diagnosis of SPN. There are no signs of recurrence after two years., Discussion: Patients are either asymptomatic or usually present with abdominal pain, a large abdominal lump, or some vague symptoms. A high index of suspicion is the key to diagnosis. Complete resection is the gold standard of treatment. Enucleation is also a good option in difficult cases. The prognosis after surgery is excellent., Conclusion: Total enucleation of the SPN of the pancreas is a reasonable alternative in selected cases when performed by experienced hepatobiliary-pancreatic surgeons., Competing Interests: Conflict of interest statement In compliance with the ICMJE uniform disclosure form, all authors have nothing to declare., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2023
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40. Biliary Embryonal Rhabdomyosarcoma: A Case Report.

Author: Chowdhury MM, Warid MM, Mohammed S, Sobhan SA, Haque MN, Quiyum MA, Rahman Z, Mahmud R, Tanjim SM, and Rahman MM
Subjects: Male, Humans, Child, Common Bile Duct, Necrosis, Rhabdomyosarcoma, Embryonal diagnosis, Rhabdomyosarcoma, Embryonal surgery
Abstract: A 10 years old boy who was initially diagnosed as choledochal cyst underwent laparotomy. There was presence of necrotic and soft tissue growth within common bile duct (CBD). After extensive toileting of bile duct, a T-tube was placed. His histopathology followed by immunohistochemistry revealed Embryonal Rhabdomyosarcoma. Later the patient received VAC regime chemotherapy. On follow-up imaging, there was no tumour mass in CBD. So, T-tube removed and now the patient is doing well.
Published: 2023

41. Thymol in Trachyspermum ammi seed extract exhibits neuroprotection, learning, and memory enhancement in scopolamine-induced Alzheimer's disease mouse model.

Author: Timalsina B, Haque MN, Choi HJ, Dash R, and Moon IS
Subjects: Mice, Animals, Thymol pharmacology, Thymol therapeutic use, Scopolamine adverse effects, Neuroprotection, Plant Extracts pharmacology, Plant Extracts therapeutic use, Disease Models, Animal, Alzheimer Disease chemically induced, Alzheimer Disease drug therapy, Ammi, Apiaceae, Neuroprotective Agents pharmacology, Neuroprotective Agents therapeutic use
Abstract: Several reports have stated the neuroprotective and learning/memory effects of Tachyspermum ammi seed extract (TASE) and its principal component thymol; however, little is known about its underlying molecular mechanisms and neurogenesis potential. This study aimed to provide insights into TASE and a thymol-mediated multifactorial therapeutic approach in a scopolamine-induced Alzheimer's disease (AD) mouse model. TASE and thymol supplementation significantly reduced oxidative stress markers such as brain glutathione, hydrogen peroxide, and malondialdehyde in mouse whole brain homogenates. Tumor necrosis factor-alpha was significantly downregulated, whereas the elevation of brain-derived neurotrophic factor and phospho-glycogen synthase kinase-3 beta (serine 9) enhanced learning and memory in the TASE- and thymol-treated groups. A significant reduction in the accumulation of Aβ 1-42 peptides was observed in the brains of TASE- and thymol-treated mice. Furthermore, TASE and thymol significantly promoted adult neurogenesis, with increased doublecortin positive neurons in the subgranular and polymorphic zones of the dentate gyrus in treated-mice. Collectively, TASE and thymol could potentially act as natural therapeutic agents for the treatment of neurodegenerative disorders, such as AD., (© 2023 John Wiley & Sons Ltd.)
Published: 2023
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42. Neuronal Differentiation and Outgrowth Effect of Thymol in Trachyspermum ammi Seed Extract via BDNF/TrkB Signaling Pathway in Prenatal Maternal Supplementation and Primary Hippocampal Culture.

Author: Timalsina B, Haque MN, Dash R, Choi HJ, Ghimire N, and Moon IS
Subjects: Animals, Female, Mice, Pregnancy, Brain-Derived Neurotrophic Factor metabolism, Dietary Supplements, Hippocampus metabolism, Signal Transduction, Vitamins pharmacology, Maternal Nutritional Physiological Phenomena, Apiaceae chemistry, Plant Extracts pharmacology, Thymol pharmacology
Abstract: Reviving the neuronal functions in neurodegenerative disorders requires the promotion of neurite outgrowth. Thymol, which is a principal component of Trachyspermum ammi seed extract (TASE), is reported to have neuroprotective effects. However, the effects of thymol and TASE on neuronal differentiation and outgrowth are yet to be studied. This study is the first report investigating the neuronal growth and maturation effects of TASE and thymol. Pregnant mice were orally supplemented with TASE (250 and 500 mg/kg), thymol (50 and 100 mg/kg), vehicle, and positive controls. The supplementation significantly upregulated the expression of brain-derived neurotrophic factor (BDNF) and early neuritogenesis markers in the pups' brains at post-natal day 1 (P1). Similarly, the BDNF level was significantly upregulated in the P12 pups' brains. Furthermore, TASE (75 and 100 µg/mL) and thymol (10 and 20 µM) enhanced the neuronal polarity, early neurite arborization, and maturation of hippocampal neurons in a dose-dependent manner in primary hippocampal cultures. The stimulatory activities of TASE and thymol on neurite extension involved TrkB signaling, as evidenced by attenuation via ANA-12 (5 µM), which is a specific TrkB inhibitor. Moreover, TASE and thymol rescued the nocodazole-induced blunted neurite extension in primary hippocampal cultures, suggesting their role as a potent microtubule stabilizing agent. These findings demonstrate the potent capacities of TASE and thymol in promoting neuronal development and reconstruction of neuronal circuitry, which are often compromised in neurodegenerative diseases and acute brain injuries.
Published: 2023
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43. Continued fractions and the Thomson problem.

Author: Moscato P, Haque MN, and Moscato A
Abstract: We introduce new analytical approximations of the minimum electrostatic energy configuration of n electrons, E(n), when they are constrained to be on the surface of a unit sphere. Using 453 putative optimal configurations, we searched for approximations of the form [Formula: see text] where g(n) was obtained via a memetic algorithm that searched for truncated analytic continued fractions finally obtaining one with Mean Squared Error equal to [Formula: see text] for the model of the normalized energy ([Formula: see text]). Using the Online Encyclopedia of Integer Sequences, we searched over 350,000 sequences and, for small values of n, we identified a strong correlation of the highest residual of our best approximations with the sequence of integers n defined by the condition that [Formula: see text] is a prime. We also observed an interesting correlation with the behavior of the smallest angle [Formula: see text], measured in radians, subtended by the vectors associated with the nearest pair of electrons in the optimal configuration. When using both [Formula: see text] and [Formula: see text] as variables a very simple approximation formula for [Formula: see text] was obtained with MSE= [Formula: see text] and MSE= 73.2349 for E(n). When expanded as a power series in infinity, we observe that an unknown constant of an expansion as a function of [Formula: see text] of E(n) first proposed by Glasser and Every in 1992 as [Formula: see text], and later refined by Morris, Deaven and Ho as [Formula: see text] in 1996, may actually be very close to -1.10462553440167 when the assumed optima for [Formula: see text] are used., (© 2023. The Author(s).)
Published: 2023
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44. Socio-economic inequalities in undiagnosed, untreated, and uncontrolled diabetes mellitus in Bangladesh: is there a gender difference?

Author: Khatun MM, Rahman M, Islam MJ, Haque SE, Adam IF, Chau Duc NH, Sarkar P, Haque MN, and Islam MR
Subjects: Male, Female, Humans, Sex Factors, Bangladesh epidemiology, Cross-Sectional Studies, Socioeconomic Factors, Prevalence, Diabetes Mellitus diagnosis, Diabetes Mellitus epidemiology
Abstract: Objectives: We aimed to determine: (1) the prevalence and socio-economic distribution of undiagnosed, untreated, and uncontrolled diabetes mellitus (DM); (2) the relationship between socio-economic status (SES) and undiagnosed, untreated, and uncontrolled DM; and (3) if this relationship is mediated by gender., Study Design: Cross-sectional nationally representative household-based survey., Methods: We used data from the Bangladesh Demographic Health Survey from 2017 to 18. Our findings were based on the responses of 12,144 individuals aged 18 years and older. As a measure of SES, we focused on standard of living (hereinafter referred to as wealth). The study's outcome variables were prevalence of total (diagnosed + undiagnosed), undiagnosed, untreated, and uncontrolled DM. We used three regression-based approaches-adjusted odds ratio, relative inequality index, and slope inequality index-to assess different aspects of SES differences in the prevalence of total, undiagnosed, untreated, and uncontrolled DM. We used logistic regression analysis to look at the adjusted association between SES and the outcomes after gender stratification to see whether gender status moderates the association between SES and the targeted outcomes., Results: In our sample analysis, the age-adjusted prevalence of total, undiagnosed, untreated, and uncontrolled DM was 9.1%, 61.4%, 64.7%, and 72.1%, respectively. Females had a higher prevalence of DM and undiagnosed, untreated, and uncontrolled DM than males. When compared to people in the poor SES group, people in the rich and middle SES groups had 2.60 times (95% confidence interval [CI] 2.05-3.29) and 1.47 times (95% CI 1.18-1.83) higher chance of developing DM. When compared to individuals in the poor SES group, those in the rich SES groups were 0.50 (95% CI 0.33-0.77) and 0.55 times (95% CI 0.36-0.85) less likely to have undiagnosed and untreated DM., Conclusions: In Bangladesh, rich SES groups were more likely than poor SES groups to have DM, whereas poor SES groups with DM were less likely than rich SES groups to be aware of their disease and obtain treatment. The government and other concerned parties are urged by this study to pay more attention to developing suitable policy measures to reduce the risk of DM, particularly among rich SES groups, as well as targeted efforts to screen for and diagnose DM in socio-economically disadvantaged groups., (Copyright © 2023 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)
Published: 2023
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45. Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis.

Author: Sultana S, Hossain MM, and Haque MN
Subjects: Humans, Farms, Agriculture methods, Efficiency, Farmers, Solanum tuberosum
Abstract: Background: The government of Bangladesh has been trying to encourage potato consumption to reduce pressure on rice consumption and earn foreign currency along with ensuring zero hunger that helps to achieve the Sustainable Development Goal. It is necessary to use farmers' resources and current technology more efficiently to meet the demand. Therefore, the authors aimed to evaluate the farm-level efficiency of potato farming in Bangladesh., Methods and Materials: The Cobb-Douglas Stochastic Frontier Analysis (SFA) and the input-oriented Data Envelopment Analysis (DEA) methods are used to compute farm-level technical, allocative, and economic efficiencies and inefficiency of potato farming. The primary data were collected through interviews of 300 potato farmers from Munshigonj, Rangpur, Dinajpur, and Joypurhat districts of Bangladesh., Results: The findings revealed that the efficiency score of the SFA model is higher than the DEA model, which implies that the SFA frontier fits better than the DEA frontier. In the case of DEA, variable returns to scale (VRS) technical efficiency (TE) enveloped data more closely than constant returns to scale (CRS) TE. Results of efficiency suggest significant economic, technical, and allocative inefficiencies in potato farming and there is a scope to increase potato production levels through efficiency improvement. Inefficiency analysis shows that infrastructure and socio-economic factors jointly influence potato production variability., Conclusions: The authors suggest for using the SFA to find efficiencies in the agriculture sector. To achieve efficiency in potato production, the government needs to pay attention for improving the allocative and economic efficiencies along with emphasizing to choose the appropriate technology and efficient use of resources for the scale of operation., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Sultana et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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46. Effects of dietary glycerol supplementation on meat quality, palatability, and lipid metabolism gene expression in the longissimus thoracis of Hanwoo steers.

Author: Fassah DM, Kang HJ, Beak SH, Jung DJS, Jeong I, Na SW, Yoo SP, Hong SJ, Kim HJ, Haque MN, Lee HJ, Jo C, and Baik M
Subjects: Cattle genetics, Animals, Animal Feed analysis, Meat analysis, Fatty Acids, Dietary Supplements, Gene Expression, Glycerol, Lipid Metabolism genetics
Abstract: This study tested the hypothesis that dietary glycerol supplementation (GS) would affect growth of Hanwoo steers, beef marbling and palatability, and gene expression for lipid uptake and transport and lipogenesis in the longissimus thoracis (LT). Diets with or without 45.2 g daily glycerol supplementation/kg dry matter concentrate were tested in fourteen Hanwoo steers during a 16-week feeding trial. GS did not affect (P ≥ 0.40) the average daily gain or the gain-to-feed ratio. GS increased the LT marbling score (P = 0.01). GS enhanced (P ≤ 0.01) the sensory traits, including the flavor and overall acceptance of the LT. GS tended (0.05 < P ≤ 0.10) to upregulate mRNA levels of fatty acid translocase, lipoprotein lipase, and fatty acid binding protein 4 genes in the LT. These tendencies of upregulated expression of fatty acid uptake and cytosolic transport genes may, in part, contribute to the increased marbling by GS. The increased marbling degree caused by GS may improve palatability including the flavor and overall acceptance of the LT., Competing Interests: Declaration of Competing Interest The authors declare that no conflict of interest exists in this manuscript., (Copyright © 2023 Elsevier Ltd. All rights reserved.)
Published: 2023
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47. Effects of genomic estimated breeding value and dietary energy to protein ratio on growth performance, carcass trait, and lipogenic gene expression in Hanwoo steer.

Author: Park SJ, Kim H, Piao M, Kang HJ, Fassah DM, Jung DJS, Kim SY, Na SW, Beak SH, Jeong IH, Yoo SP, Hong SJ, Lee DH, Lee SH, Haque MN, Shin DJ, Kwon JA, Jo C, and Baik M
Subjects: Cattle genetics, Animals, Phenotype, Genotype, Meat analysis, Gene Expression, Animal Feed analysis, Diet veterinary, Body Composition genetics, Genomics methods, Genome
Abstract: "Genome-based precision feeding" is a concept that involves the application of customised diets to different genetic groups of cattle. We investigated the effects of the genomic estimated breeding value (gEBV) and dietary energy to protein ratio (DEP) on growth performance, carcass traits, and lipogenic gene expression in Hanwoo (Korean cattle) steers. Forty-four Hanwoo steers (BW = 636 kg, age = 26.9 months) were genotyped using the Illumina Bovine 50 K BeadChip. The gEBV was calculated using genomic best linear unbiased prediction. Animals were separated into high gEBV of marbling score or low-gMS groups based on the upper and lower 50% groupings of the reference population, respectively. Animals were assigned to one of four groups in a 2 × 2 factorial arrangement: high gMS/high DEP (0.084 MJ/g), high gMS/low DEP (0.079 MJ/g), low gMS/high DEP, and low gMS/low DEP. Steers were fed concentrate with a high or low DEP for 31 weeks. The BW tended to be higher (0.05 < P < 0.1) in the high-gMS groups compared to the low-gMS groups at 0, 4, 8, 12, and 20 weeks. The average daily gain (ADG) tended to be lower (P = 0.08) in the high-gMS group than in the low-gMS group. Final BW and measured carcass weight (CW) were positively correlated with the gEBV of carcass weight (gCW). The DEP did not affect ADG. Neither the gMS nor the DEP affected the MS and beef quality grade. The intramuscular fat (IMF) content in the longissimus thoracis (LT) tended to be higher (P = 0.08) in the high-gMS groups than in the low-gMS groups. The mRNA levels of lipogenic acetyl-CoA carboxylase and fatty acid binding protein 4 genes in the LT were higher (P < 0.05) in the high-gMS group than in the low-gMS group. Overall, the IMF content tended to be affected by the gMS, and the genetic potential (i.e., gMS) was associated with the functional activity of lipogenic gene expression. The gCW was associated with the measured BW and CW. The results demonstrated that the gMS and the gCW may be used as early prediction indexes for meat quality and growth potential of beef cattle., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)
Published: 2023
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48. Chronic exposure to environmental concentrations of harmful algal bloom-forming dinoflagellates induces oxidative stress and reduces immune and hepatic functions in red seabream.

Author: Haque MN, Nam SE, Lee M, Kim HW, Gil HW, Park HS, and Rhee JS
Subjects: Animals, Harmful Algal Bloom, Oxidative Stress, Dinoflagellida, Sea Bream, Perciformes
Abstract: Harmful algal blooms (HABs) caused by dinoflagellates can be detrimental to aquaculture and fisheries. However, little is known regarding their ichthyotoxic effects on fish, particularly after chronic exposure to sublethal levels. In this study, significant modulations in physiology, immunity, antioxidant components, and hepatic indicators owing to non-toxin-producing dinoflagellate strains (Alexandrium affine and Cochlodinium polykrikoides) were analyzed in juvenile red seabream, Pagrus major, exposed to sublethal concentrations (0, 1, and 100 cells mL -1 ) for 60 days. At 60 days, higher mortality was induced by A. affine than by C. polykrikoides. Significant increases in respiration rate and plasma cortisol were observed in red seabream exposed to 100 cells mL -1 of the two dinoflagellates. Intracellular reactive oxygen species and malondialdehyde levels were significantly elevated in the gill and liver tissues in response to 100 cells mL -1 of either dinoflagellate. Immunity parameters such as alternative complement activity, lysozyme activity, and total immunoglobulin content were significantly decreased during exposure to 100 cells mL -1 of the two dinoflagellates. Although no significant change was observed in the gonadosomatic index, the hepatosomatic index was significantly decreased by exposure to 100 cells mL -1 of the two dinoflagellates on day 60. The significant decrease in enzymatic activities of ethoxyresorufin-O-deethylase, alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase upon exposure to 100 cells mL -1 of either dinoflagellate suggested impaired hepatic function through prolonged exposure. Our results suggest that consistent exposure to sublethal concentrations of HAB-forming dinoflagellates is detrimental to fish physiology and biochemical defenses., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)
Published: 2023
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49. Changes in the economic value of ecosystem services in rapidly growing urban areas: the case of Dhaka, Bangladesh.

Author: Haque MN, Mahi MM, Sharif MS, Rudra RR, and Sharifi A
Subjects: Humans, Bangladesh, Conservation of Natural Resources, Agriculture, China, Ecosystem, Quality of Life
Abstract: Assessing the effects of land use patterns on ecosystem services can provide a conceptual foundation and point of reference for spatial planning strategies. The benefits ecosystems bring to individuals' lives and general well-being are referred to as ecosystem services. Land use/land cover (LULC) could influence various ecosystems and have implications for natural habitats and the quality of life. LULC has changed dramatically in Bangladesh during the past few decades, notably in the Dhaka Metropolitan Area. However, no attempt has been made to examine the co-evolution of LULC variations and values of ecosystem services (ESV) in the Dhaka Metropolitan Area. The study's objective is to evaluate the impact of LULC changes and different socio-demographic factors on ESV. LULC data sets were extracted from Landsat OLI and TIRS images using maximum likelihood classification. Analyses were conducted on both ESV estimations and driving forces, and the influence of LULC dynamics on the ESV was assessed. Data from 1991, 2001, 2011, and 2021 were used to estimate ESVs. LULC in the major metropolitan area of Dhaka has seen considerable changes between 1991 and 2021, with the most important change being the declination of water bodies, vegetation, and agricultural land. Vegetation and agricultural land proportions dropped from 22.50% and 19.29%, respectively, to 6.45% and 10.60%. Overall, there was a US$25.11M drop in ESV during 1991-2021. The study emphasizes the value of integrated land use planning for tightly regulating and controlling the growth of built-up regions. This will be essential for maintaining ecological sustainability and contributing to ecosystem resilience., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2023
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50. International manufacturing and trade in colistin, its implications in colistin resistance and One Health global policies: a microbiological, economic, and anthropological study.

Author: Umair M, Hassan B, Farzana R, Ali Q, Sands K, Mathias J, Afegbua S, Haque MN, Walsh TR, and Mohsin M
Subjects: Cattle, Animals, Humans, Colistin pharmacology, Colistin therapeutic use, Escherichia coli, Sewage, Buffaloes, Commerce, Chickens, Internationality, Poultry microbiology, Policy, Pakistan epidemiology, One Health, Anti-Infective Agents pharmacology, Escherichia coli Proteins pharmacology
Abstract: Background: The emergence of colistin-resistant Enterobacterales is a global public health concern, yet colistin is still widely used in animals that are used for food as treatment, metaphylaxis, prophylaxis, and growth promotion. Herein, we investigate the effect of colistin-resistant Enterobacterales in Pakistan, global trade of colistin, colistin use at the farm level, and relevant socioeconomic factors., Methods: We conducted a microbiological, economic, and anthropological study of colistin-resistant Escherichia coli in humans, animals, and the environment and international trade and knowledge of colistin in Pakistan, Bangladesh, Nigeria, China, India, and Viet Nam. We collected backyard poultry cloacal swabs, commercial broiler cloacal swabs, cattle and buffalo rectal swabs, human rectal swabs, wild bird droppings, cattle and buffalo meat, sewage water, poultry flies, chicken meat, and canal water from 131 sites across Faisalabad, Pakistan, to be tested for mcr-1-positive and mcr-3-positive Escherichia coli. We recruited new patients admitted to Allied Hospital, Faisalabad, Pakistan, with abdominal pain and diarrhoea for rectal swabs. Patients with dysentery and those who were already on antibiotic treatment were excluded. Data for colistin trade between 2017 and 2020, including importation, manufacturing, and usage, were accessed from online databases and government sources in Pakistan, Bangladesh, and Nigeria. We recruited participants from poultry farms and veterinary drug stores in Pakistan and Nigeria to be interviewed using a structured questionnaire. International manufacturing, import, and export data; value analysis; and trade routes of colistin pharmaceutical raw material (PRM), feed additive, and finished pharmaceutical products (FPPs) were accessed from 2017-21 export data sets., Findings: We collected 1131 samples between May 12, 2018, and July 1, 2019: backyard poultry cloacal swabs (n=100), commercial broiler cloacal swabs (n=102), cattle and buffalo rectal swabs (n=188), human rectal swabs (n=200), wild bird droppings (n=100), cattle and buffalo meat (n=100), sewage water (n=90), poultry flies (n=100), chicken meat (n=100), and canal water (n=51). We recruited 200 inpatients at Allied Hospital, Faisalabad, Pakistan, between Nov 15, 2018, and Dec 14, 2018, for rectal swabs. We recruited 21 participants between Jan 1, 2020, and Dec 31, 2020, from poultry farms and drug stores in Pakistan and Nigeria to be interviewed. 75 (7%) of 1131 samples contained mcr-1-positive E coli, including wild bird droppings (25 [25%] of 100), commercial broiler cloacal swabs (17 [17%] of 100), backyard poultry cloacal swabs (one [1%] of 100), chicken meat (13 [13%] of 100), cattle and buffalo meat (two [2%] of 100), poultry flies (eight [8%] of 100), sewage water (six [7%] of 90), and human rectal swabs (three [2%] of 200). During 2017-20, Pakistan imported 275·5 tonnes (68·9 tonnes per year, 95% CI 41·2-96·6) of colistin as PRM, all sourced from China, 701·9 tonnes (175·5 tonnes per year, 140·9-210·1) of colistin as feed additives from China and Viet Nam, and 63·0 tonnes (15·8 tonnes per year, 10·4-21·1) of colistin as FPPs from various countries in Asia and Europe. For Bangladesh and Nigeria, colistin PRM and FPPs were imported from China and Europe. Colistin knowledge and usage practices in Pakistan and Nigeria were unsatisfactory in terms of understanding of the effects on human medicine and usage other than for treatment purposes. China is the major manufacturer of PRM and feed additive colistin and exported a total of 2664·8 tonnes (666·2 tonnes per year, 95% CI 262·1 to 1070·2) of PRM and 2570·2 tonnes (642·6 tonnes per year, -89·4 to 1374·5) of feed additive in 1330 shipments during 2018-21 to 21 countries., Interpretation: Regardless of 193 countries signing the UN agreement to tackle antimicrobial resistance, trading of colistin as PRM, FPPs, and feed additive or growth promoter in low-income and middle-income countries continues unabated. Robust national and international laws are urgently required to mitigate the international trade of this antimicrobial listed on WHO Critically Important Antimicrobials for Human Medicine., Funding: Pakistan Agricultural Research Council and INEOS Oxford Institute for Antimicrobial Research TRANSLATION: For the Urdu translation of the abstract see Supplementary Materials section., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license. Published by Elsevier Ltd.. All rights reserved.)
Published: 2023
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