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2. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
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Vollset, S, Ababneh, H, Abate, Y, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbastabar, H, Abd Al Magied, A, Abd ElHafeez, S, Abdelkader, A, Abdelmasseh, M, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdullahi, A, Abebe, M, Abiodun, O, Aboagye, R, Abolhassani, H, Abouzid, M, Aboye, G, Abreu, L, Absalan, A, Abualruz, H, Abubakar, B, Abukhadijah, H, Addolorato, G, Adekanmbi, V, Adetunji, C, Adetunji, J, Adeyeoluwa, T, Adha, R, Adhikary, R, Adnani, Q, Adzigbli, L, Afrashteh, F, Afzal, M, Afzal, S, Agbozo, F, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, B, Ahlstrom, A, Ahmad, A, Ahmad, F, Ahmad, M, Ahmad, S, Ahmed, A, Ahmed, H, Ahmed, S, Akinosoglou, K, Akkaif, M, Akrami, A, Akter, E, Al Awaidy, S, Al Hasan, S, Al Mosa, A, Al Ta'ani, O, Al Zaabi, O, Alahdab, F, Alajlani, M, Al-Ajlouni, Y, Alalalmeh, S, Al-Aly, Z, Alam, K, Alam, N, Alam, T, Alam, Z, Al-amer, R, Alanezi, F, Alanzi, T, Albakri, A, Aldhaleei, W, Aldridge, R, Alemohammad, S, Alemu, Y, Al-Gheethi, A, Al-Hanawi, M, Ali, A, Ali, I, Ali, M, Ali, R, Ali, S, Ali, V, Ali, W, Al-Ibraheem, A, Alicandro, G, Alif, S, Aljunid, S, Alla, F, Almazan, J, Al-Mekhlafi, H, Alqutaibi, A, Alrawashdeh, A, Alrousan, S, Al-Sabah, S, Alsabri, M, Altaany, Z, Al-Tammemi, A, Al-Tawfiq, J, Altirkawi, K, Aluh, D, Alvis-Guzman, N, Al-Wardat, M, Al-Worafi, Y, Aly, H, Alyahya, M, Alzoubi, K, Al-Zyoud, W, Amani, R, Ameyaw, E, Amin, T, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, M, Amu, H, Amugsi, D, Ancuceanu, R, Anderlini, D, Anderson, D, Andrade, P, Andrei, C, Andrei, T, Andrews, E, Anil, A, Anil, S, Anoushiravani, A, Antony, C, Antriyandarti, E, Anuoluwa, B, Anvari, S, Anyasodor, A, Appiah, F, Aquilano, M, Arab, J, Arabloo, J, Arafa, E, Arafat, M, Aravkin, A, Ardekani, A, Areda, D, Aregawi, B, Aremu, A, Ariffin, H, Arkew, M, Armani, K, Artamonov, A, Arumugam, A, Asghari-Jafarabadi, M, Ashbaugh, C, Astell-Burt, T, Athari, S, Atorkey, P, Atout, M, Aujayeb, A, Ausloos, M, Awad, H, Awotidebe, A, Ayatollahi, H, Ayuso-Mateos, J, Azadnajafabad, S, Azeez, F, Azevedo, R, Badar, M, Baghdadi, S, Bagheri, M, Bagheri, N, Bai, R, Baker, J, Bako, A, Balakrishnan, S, Balcha, W, Baltatu, O, Barchitta, M, Bardideh, E, Barker-Collo, S, Bärnighausen, T, Barqawi, H, Barteit, S, Basiru, A, Basso, J, Bastan, M, Basu, S, Bauckneht, M, Baune, B, Bayati, M, Bayileyegn, N, Behnoush, A, Behzadi, P, Beiranvand, M, Bello, O, Belo, L, Beloukas, A, Bemanalizadeh, M, Bensenor, I, Benzian, H, Beran, A, Berezvai, Z, Bernstein, R, Bettencourt, P, Beyene, K, Beyene, M, Bhagat, D, Bhagavathula, A, Bhala, N, Bhandari, D, Bharadwaj, R, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhattacharjee, N, Bhatti, G, Bhatti, J, Bhatti, M, Bhuiyan, M, Bisignano, C, Biswas, B, Bjørge, T, Bodolica, V, Bodunrin, A, Bonakdar Hashemi, M, Bora Basara, B, Borhany, H, Bosoka, S, Botero Carvajal, A, Bouaoud, S, Boufous, S, Boxe, C, Boyko, E, Brady, O, Braithwaite, D, Brauer, M, Brazo-Sayavera, J, Brenner, H, Brown, C, Browne, A, Brugha, T, Bryazka, D, Bulamu, N, Buonsenso, D, Burkart, K, Burns, R, Busse, R, Bustanji, Y, Butt, Z, Caetano dos Santos, F, Çakmak Barsbay, M, Calina, D, Campos, L, Cao, S, Capodici, A, Cárdenas, R, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, J, Castelpietra, G, Cattaruzza, M, Caye, A, Cegolon, L, Cembranel, F, Cenko, E, Cerin, E, Chadban, S, Chadwick, J, Chakraborty, C, Chakraborty, S, Chalek, J, Chan, J, Chandika, R, Chandy, S, Charan, J, Chaudhary, A, Chaurasia, A, Chen, A, Chen, H, Chen, M, Chen, S, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Ching, P, Chirinos-Caceres, J, Chitheer, A, Cho, D, Cho, W, Choi, D, Chong, B, Chong, C, Chopra, H, Chu, D, Chung, E, Chutiyami, M, Clayton, J, Cogen, R, Cohen, A, Columbus, A, Comfort, H, Conde, J, Connolly, J, Cooper, E, Cortese, S, Cruz-Martins, N, da Silva, A, Dadras, O, Dai, X, Dai, Z, Dalton, B, Damiani, G, Dandona, L, Dandona, R, Das, J, Das, S, Dash, N, Davletov, K, De la Hoz, F, De Leo, D, Debopadhaya, S, Delgado-Enciso, I, Denova-Gutiérrez, E, Dervenis, N, Desai, H, Devanbu, V, Dewan, S, Dhama, K, Dhane, A, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, L, Diaz, M, Dima, A, Ding, D, Do, T, do Prado, C, Dodangeh, M, Doegah, P, Dohare, S, Dong, W, D'Oria, M, Doshi, R, Dowou, R, Dsouza, H, Dsouza, V, Dube, J, Dumith, S, Duncan, B, Duraes, A, Duraisamy, S, Durojaiye, O, Dushpanova, A, Dutta, S, Dzianach, P, Dziedzic, A, Eboreime, E, Ebrahimi, A, Ebrahimi Kalan, M, Edinur, H, Efendi, F, Eikemo, T, Eini, E, Ekundayo, T, El Arab, R, El Sayed, I, Elamin, O, Elemam, N, Elgohary, G, Elhadi, M, Elmeligy, O, Elmoselhi, A, Elshaer, M, Elsohaby, I, Eltahir, M, Emeto, T, Eshrati, B, Eslami, M, Esmaeili, Z, Fabin, N, Fagbamigbe, A, Fagbule, O, Falzone, L, Fareed, M, Farinha, C, Faris, M, Faro, A, Fasihi, K, Fatehizadeh, A, Fauk, N, Fazylov, T, Feigin, V, Fekadu, G, Feng, X, Fereshtehnejad, S, Ferrara, P, Ferreira, N, Firew, B, Fischer, F, Fitriana, I, Flavel, J, Flor, L, Folayan, M, Foley, K, Fonzo, M, Force, L, Foschi, M, Freitas, A, Fridayani, N, Fukutaki, K, Furtado, J, Fux, B, Gaal, P, Gadanya, M, Gallus, S, Ganesan, B, Ganiyani, M, Gautam, R, Gebi, T, Gebregergis, M, Gebrehiwot, M, Getacher, L, Getahun, G, Gething, P, Ghadimi, D, Ghadirian, F, Ghafarian, S, Ghailan, K, Ghasemi, M, Ghasempour Dabaghi, G, Ghazy, R, Ghoba, S, Gholami, E, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Ghorbani Vajargah, P, Ghotbi, E, Gil, A, Gill, T, Girmay, A, Glasbey, J, Glushkova, E, Gnedovskaya, E, Göbölös, L, Goldust, M, Goleij, P, Golinelli, D, Gopalani, S, Goulart, A, Gouravani, M, Goyal, A, Grivna, M, Grosso, G, Guarducci, G, Gubari, M, Guicciardi, S, Guimarães, R, Gulati, S, Gulisashvili, D, Gunawardane, D, Guo, C, Gupta, A, Gupta, R, Gupta, S, Gupta, V, Haakenstad, A, Hadi, N, Haep, N, Hafiz, A, Haghmorad, D, Haile, D, Hajj Ali, A, Haj-Mirzaian, A, Halboub, E, Haller, S, Halwani, R, Hamagharib Abdullah, K, Hamdy, N, Hamoudi, R, Hanifi, N, Hankey, G, Haq, Z, Haque, M, Harapan, H, Hargono, A, Haro, J, Hasaballah, A, Hasan, S, Hasanian, M, Hasnain, M, Hassan, A, Haubold, J, Hay, S, Hebert, J, Hegazi, O, Heidari, M, Hemmati, M, Henson, C, Herrera-Serna, B, Herteliu, C, Heydari, M, Hezam, K, Hidayana, I, Hiraike, Y, Hoan, N, Holla, R, Hoogar, P, Horita, N, Hossain, M, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, C, Huang, J, Hultström, M, Hundie, T, Hunt, A, Hushmandi, K, Hussain, J, Hussain, M, Hussein, N, Huynh, H, Hwang, B, Ibitoye, S, Iftikhar, P, Ikiroma, A, Ikwegbue, P, Ilic, I, Ilic, M, Immurana, M, Isa, M, Islam, M, Islam, S, Ismail, F, Ismail, N, Isola, G, Iwagami, M, Iyamu, I, Jacob, L, Jacobsen, K, Jafarinia, M, Jahankhani, K, Jahanmehr, N, Jain, N, Jairoun, A, Jakhmola Mani, D, Jamil, S, Jamora, R, Jatau, A, Javadov, S, Javaheri, T, Jayaram, S, Jee, S, Jeganathan, J, Jiang, H, Jokar, M, Jonas, J, Joseph, N, Joshua, C, Jürisson, M, K, V, Kabir, A, Kabir, Z, Kadashetti, V, Kalankesh, L, Kalra, S, Kamath, A, Kamath, R, Kamireddy, A, Kanaan, M, Kanchan, T, Kanmiki, E, Kanmodi, K, Kansal, S, Karim, A, Karkhah, S, Kashoo, F, Kasraei, H, Kassel, M, Katikireddi, S, Kauppila, J, Kaur, H, Kayode, G, Kazemi, F, Kazemian, S, Kebede, F, Kendal, E, Kesse-Guyot, E, Khademvatan, S, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, F, Khan, M, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, M, Khatib, M, Khayat Kashani, H, Kheirallah, K, Khokhar, M, Khormali, M, Khorrami, Z, Khosla, A, Khosravi, M, Khosrowjerdi, M, Khubchandani, J, Kifle, Z, Kim, G, Kim, J, Kim, M, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Knibbs, L, Knudsen, A, Kochhar, S, Kolahi, A, Kompani, F, Koren, G, Korzh, O, Krishan, K, Krishna, V, Krishnamoorthy, V, Kucuk Bicer, B, Kuddus, M, Kuitunen, I, Kujan, O, Kulimbet, M, Kulkarni, V, Kumar, G, Kumar, H, Kumar, N, Kumar, R, Kumar, V, Kundu, A, Kusuma, D, Kyei-Arthur, F, Kytö, V, Kyu, H, La Vecchia, C, Lacey, B, Ladan, M, Laflamme, L, Lahariya, C, Lai, D, Lalloo, R, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, V, Laplante-Lévesque, A, Larijani, B, Larsson, A, Lasrado, S, Lauriola, P, Lawlor, H, Le, H, Le, L, Le, N, Le, T, Leasher, J, Lee, D, Lee, M, Lee, P, Lee, S, Lee, Y, Leigh, J, Leong, E, Li, M, Libra, M, Ligade, V, Lim, L, Lim, S, Limenh, L, Lindholm, D, Lindstedt, P, Listl, S, Liu, G, Liu, S, Liu, X, Llanaj, E, López-Bueno, R, López-Gil, J, Loreche, A, Lotufo, P, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, Lusk, J, Lv, L, M Amin, H, Ma, Z, Maass, K, Machairas, N, Machoy, M, Madureira-Carvalho, Á, Magdy Abd El Razek, H, Maghazachi, A, Mahadeshwara Prasad, D, Mahalleh, M, Mahasha, P, Mahmoud, M, Mahmoudi, E, Mahmoudvand, G, Makama, M, Malakan Rad, E, Malhotra, K, Malik, A, Malta, D, Manla, Y, Mansour, A, Mansouri, M, Mansouri, P, Mansouri, V, Mansourian, M, Mansournia, M, Marasini, B, Marateb, H, Maravilla, J, Mardi, P, Marjani, A, Markazi Moghadam, H, Marrugo Arnedo, C, Martinez, G, Martinez-Piedra, R, Martins-Melo, F, Martorell, M, Marx, W, Marzo, R, Masoudi, S, Mathangasinghe, Y, Mathioudakis, A, Mathur, M, Mathur, N, Matozinhos, F, Mattumpuram, J, Maude, R, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, Mcgrath, J, Mckee, M, Mckowen, A, Mcphail, M, Mcphail, S, Mehmood, A, Mehrabani-Zeinabad, K, Mehravar, S, Mekene Meto, T, Melese, E, Mendez-Lopez, M, Mendoza, W, Menezes, R, Mensah, G, Mensah, L, Mentis, A, Meo, S, Meretoja, A, Meretoja, T, Mersha, A, Mestrovic, T, Mettananda, K, Mettananda, S, Mhlanga, A, Mhlanga, L, Miazgowski, T, Michalek, I, Micheletti Gomide Nogueira de Sá, A, Miller, T, Minh, L, Mirahmadi, A, Mirijello, A, Mirrakhimov, E, Mirzaei, R, Mitchell, P, Mittal, C, Moberg, M, Moghadam Fard, A, Mohajelin, S, Mohamadkhani, A, Mohamed, A, Mohamed, J, Mohamed, M, Mohamed, N, Mohammad, A, Mohammadi, S, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, A, Molokhia, M, Momani, S, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, M, Montazeri, F, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, R, Morovatdar, N, Morrison, S, Mosapour, A, Mosser, J, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, U, Mulita, F, Munjal, K, Murillo-Zamora, E, Musallam, K, Musina, A, Mustafa, G, Myung, W, Nafei, A, Nagarajan, A, Naghavi, P, Naik, G, Nainu, F, Najdaghi, S, Nakhostin Ansari, N, Nangia, V, Narasimha Swamy, S, Nargus, S, Narimani Davani, D, Nascimento, B, Nascimento, G, Naser, A, Nashwan, A, Natto, Z, Nauman, J, Navaratna, S, Naveed, M, Nawsherwan, N, Nayak, B, Nayak, V, Negash, H, Negoi, I, Negoi, R, Nejadghaderi, S, Nejjari, C, Nematollahi, S, Netsere, H, Ng, M, Nguefack-Tsague, G, Ngunjiri, J, Nguyen, A, Nguyen, D, Nguyen, H, Nguyen, N, Nguyen, P, Nguyen, Q, Nguyen, V, Nguyen Tran Minh, D, Niazi, R, Nigatu, Y, Niknam, M, Nikoobar, A, Nikpoor, A, Nikravangolsefid, N, Noman, E, Nomura, S, Noor, S, Noroozi, N, Nouri, M, Nozari, M, Nri-Ezedi, C, Ntaios, G, Nunemo, M, Nurrika, D, Nutor, J, Nzoputam, C, Nzoputam, O, Oancea, B, Obamiro, K, Odetokun, I, Oduro, M, Ogundijo, O, Ogunfowokan, A, Ogunkoya, A, Oguntade, A, Oh, I, Ojo-Akosile, T, Okati-Aliabad, H, Okekunle, A, Okonji, O, Olagunju, A, Olatubi, M, Oliveira, G, Olusanya, B, Olusanya, J, Oluwafemi, Y, Omar, H, Omer, G, Ong, S, Onie, S, Onwujekwe, O, Opejin, A, Ordak, M, Orish, V, Ortiz, A, Ortiz-Prado, E, Osman, W, Ostojic, S, Ostroff, S, Osuagwu, U, Otoiu, A, Otstavnov, S, Ouyahia, A, Owolabi, M, Oyeyemi, O, Ozair, A, P A, M, Padron-Monedero, A, Padubidri, J, Pal, P, Palicz, T, Pan, F, Pan, H, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, H, Panos, G, Panos, L, Pantazopoulos, I, Pantea Stoian, A, Parikh, R, Park, E, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Patel, J, Pathan, A, Patil, S, Patoulias, D, Pawar, S, Pazoki Toroudi, H, Pease, S, Peden, A, Pedersini, P, Pensato, U, Pepito, V, Peprah, P, Pereira, M, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, F, Pham, H, Philip, A, Phillips, M, Pigeolet, M, Piradov, M, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, R, Poluru, R, Ponkilainen, V, Popovic, D, Postma, M, Pour-Rashidi, A, Prabhu, D, Prada, S, Pradhan, J, Pradhan, P, Prashant, A, Prates, E, Priscilla, T, Purnobasuki, H, Purohit, B, Puvvula, J, Qasim, N, Qattea, I, Qazi, A, Qian, G, Rabiee Rad, M, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raggi, C, Raheem, N, Rahim, F, Rahim, M, Rahimibarghani, S, Rahman, M, Rahman, T, Rahmani, A, Rahmanian, M, Rahmanian, N, Rahmati, R, Rahmawaty, S, Raimondo, D, Raja, A, Rajput, P, Ramadan, M, Ramasamy, S, Ramazanu, S, Ramteke, P, Rana, K, Rana, R, Ranabhat, C, Rane, A, Rao, C, Rao, M, Rasella, D, Rashedi, V, Rashid, A, Rasouli-Saravani, A, Rastogi, P, Rasul, A, Rathish, D, Rathnaiah Babu, G, Rauniyar, S, Ravangard, R, Rawaf, D, Rawaf, S, Raza, R, Redwan, E, Reifels, L, Reitsma, M, Remuzzi, G, Rengasamy, K, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, L, Rezaei, N, Rezaei, Z, Rezaeian, M, Rhee, T, Rickard, J, Robalik, T, Robinson-Oden, H, Rocha, H, Rodrigues, M, Rodriguez, J, Roever, L, Romadlon, D, Ronfani, L, Rony, M, Roshandel, G, Rotimi, K, Rout, H, Roy, B, Rubagotti, E, Ruela, G, Rumisha, S, Runghien, T, Russo, M, Saad, A, Saber, K, Saber-Ayad, M, Sabet, C, Sabour, S, Sachdev, P, Saddler, A, Sadee, B, Sadeghi, M, Saeb, M, Saeed, U, Safi, S, Sagar, R, Saghafi, A, Sagoe, D, Sahebkar, A, Sahoo, P, Sajid, M, Salam, N, Salamati, P, Salami, A, Saleh, M, Salehi, L, Salem, M, Salemcity, A, Salimi, S, Samadi Kafil, H, Samargandy, S, Samodra, Y, Samy, A, Sanabria, J, Sanna, F, Santric-Milicevic, M, Sao Jose, B, Saraswathy, S, Saravanan, A, Sarmiento-Suárez, R, Sarode, G, Sarode, S, Sartorius, B, Satpathy, M, Sayeed, A, Scarmeas, N, Schaarschmidt, B, Schinckus, C, Schuermans, A, Schumacher, A, Schutte, A, Schwebel, D, Schwendicke, F, Selvaraj, S, Semreen, M, Senapati, S, Sengupta, P, Senthilkumaran, S, Serban, D, Sethi, Y, Seylani, A, Shafie, M, Shah, P, Shahbandi, A, Shahid, S, Shahid, W, Shahsavari, H, 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- Published
- 2024
3. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
- Author
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Bhawna, Gupta, Mohak, Gupta, Rahul, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Habibzadeh, Farrokh, Habibzadeh, Parham, Hadaro, Tesfahun Simon, Hadian, Zahra, Haep, Nils, Haghi-Aminjan, Hamed, Haghmorad, Dariush, Hagins, Hailey, Haile, Demewoz, Hailu, Alemayehu, Hajj Ali, Adel, Halboub, Esam S, Halimi, Aram, Hall, Brian J, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hamdy, Nadia M, Hameed, Sajid, Hamidi, Samer, Hammoud, Ahmad, Hanif, Asif, Hanifi, Nasrin, Haq, Zaim Anan, Haque, Md Rabiul, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Ikramul, Hasan, Mohammad Jahid, Hasan, S M Mahmudul, Hasani, Hamidreza, Hasanian, Mohammad, Hashmeh, Nadim, Hasnain, Md Saquib, Hassan, Amr, Hassan, Ikrama, Hassan Zadeh Tabatabaei, Mahgol Sadat, Hassani, Shokoufeh, Hassanipour, Soheil, Hassankhani, Hadi, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Hegena, Tadele Yohannes, Heidari, Golnaz, Heidari, Mohammad, Helfer, Bartosz, Hemmati, Mehdi, Henson, Claire A, Herbert, Molly E, Herteliu, Claudiu, Heuer, Austin, Hezam, Kamal, Hinneh, Thomas Kwadwo, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hoque, Mohammad Enamul, Horita, Nobuyuki, Hossain, Sahadat, Hosseini, Seyed Ehsan, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoven, Hanno, Hsairi, Mohamed, Hsu, Johnathan M, Hu, Chengxi, Huang, Junjie, Huda, Md Nazmul, Hulland, Erin N, Hultström, Michael, Hushmandi, Kiavash, Hussain, Javid, Hussein, Nawfal R, Huynh, Chantal K, Huynh, Hong-Han, Ibitoye, Segun Emmanuel, Idowu, Oluwatope Olaniyi, Ihler, Audrey L, Ikeda, Nayu, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Irham, Lalu Muhammad, Isa, Mustafa Alhaji, Islam, Md Rabiul, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, 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Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Zadey, Siddhesh, Zadnik, Vesna, Zakham, Fathiah, Zaki, Nazar, Zakzuk, Josefina, Zamagni, Giulia, Zaman, Sojib Bin, Zandieh, Ghazal G Z, Zanghì, Aurora, Zar, Heather J, Zare, Iman, Zarimeidani, Fatemeh, Zastrozhin, Mikhail Sergeevich, Zeng, Youjie, Zhai, Chunxia, Zhang, Anthony Lin, Zhang, Haijun, Zhang, Liqun, Zhang, Meixin, Zhang, Yunquan, Zhang, Zhenyu, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhao, Jeff T, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Yong, Zhong, Chenwen, Zhou, Jingjing, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhu, Lei, Zhu, Zhaohua, Ziaeian, Boback, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoghi, Ghazal, Zoller, Thomas, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Murray, Christopher J L, and Gakidou, Emmanuela
- Published
- 2024
4. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
- Author
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Kanmodi, KK, Kansal, SK, Karim, A, Karkhah, S, Kashoo, FZ, Kasraei, H, Kassel, MB, Katikireddi, SV, Kauppila, JH, Kaur, H, Kayode, GA, Kazemi, F, Kazemian, S, Kebede, F, Kendal, ES, Kesse-Guyot, E, Khademvatan, S, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, F, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Khayat Kashani, HR, Kheirallah, KA, Khokhar, M, Khormali, M, Khorrami, Z, Khosla, AA, Khosravi, M, Khosrowjerdi, M, Khubchandani, J, Kifle, ZD, Kim, G, Kim, JS, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Kochhar, S, Kolahi, A-A, Kompani, F, Koren, G, Korzh, O, Krishan, K, Krishna, V, Krishnamoorthy, V, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kujan, O, Kulimbet, M, Kulkarni, V, Kumar, GA, Kumar, H, Kumar, N, Kumar, R, Kumar, V, Kundu, A, Kusuma, D, Kyei-Arthur, F, Kytö, V, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lahariya, C, Lai, DTC, Lalloo, R, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Lawlor, HR, Le, H-H, Le, LKD, Le, NHH, Le, TTT, Le, TDT, Leasher, JL, Lee, DW, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, SWH, Lee, YH, Leigh, J, Leong, E, Li, M-C, Libra, M, Ligade, VS, Lim, L-L, Lim, SS, Limenh, LW, Lindholm, D, Lindstedt, PA, Listl, S, Liu, G, Liu, S, Liu, X, Llanaj, E, López-Bueno, R, López-Gil, JF, Loreche, AM, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, Lusk, JB, Lv, L, M Amin, HI, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madureira-Carvalho, ÁM, Magdy Abd El Razek, H, Maghazachi, AA, Mahadeshwara Prasad, DR, Mahalleh, M, Mahasha, PW, Mahmoud, MA, Mahmoudi, E, Mahmoudvand, G, Makama, M, Malakan Rad, E, Malhotra, K, Malik, AA, Malta, DC, Manla, Y, Mansour, A, Mansouri, MH, Mansouri, P, Mansouri, V, Mansourian, M, Mansournia, MA, Marasini, BP, Marateb, HR, Maravilla, JC, Mardi, P, Marjani, A, Markazi Moghadam, H, Marrugo Arnedo, CA, Martinez, G, Martinez-Piedra, R, Martins-Melo, FR, Martorell, M, Marx, W, Marzo, RR, Masoudi, S, Mathangasinghe, Y, Mathioudakis, AG, Mathur, M, Mathur, N, Matozinhos, FP, Mattumpuram, J, Maude, RJ, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, McKowen, ALW, McPhail, MA, McPhail, SM, Mehmood, A, Mehrabani-Zeinabad, K, Mehravar, S, Mekene Meto, T, Melese, EB, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mensah, GA, Mensah, LG, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Mettananda, KCD, Mettananda, S, Mhlanga, A, Mhlanga, L, Miazgowski, T, Michalek, IM, Micheletti Gomide Nogueira de Sá, AC, Miller, TR, Minh, LHN, Mirahmadi, A, Mirijello, A, Mirrakhimov, EM, Mirzaei, R, Mitchell, PB, Mittal, C, Moberg, ME, Moghadam Fard, A, Mohajelin, S, Mohamadkhani, A, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad, AM, Mohammadi, S, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Molokhia, M, Momani, SM, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Montazeri, F, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Musallam, KM, Musina, A-M, Mustafa, G, Myung, W, Nafei, A, Nagarajan, AJ, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Najdaghi, S, Nakhostin Ansari, N, Nangia, V, Narasimha Swamy, S, Nargus, S, Narimani Davani, D, Nascimento, BR, Nascimento, GG, Naser, AY, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nawsherwan, Nayak, BP, Nayak, VC, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, S, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, N, Nguyen, NNY, Nguyen, PT, Nguyen, QP, Nguyen, VT, Nguyen Tran Minh, D, Niazi, RK, Nigatu, YT, Niknam, M, Nikoobar, A, Nikpoor, AR, Nikravangolsefid, N, Noman, EA, Nomura, S, Noor, STA, Noroozi, N, Nouri, M, Nozari, M, Nri-Ezedi, CA, Ntaios, G, Nunemo, MH, Nurrika, D, Nutor, JJ, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Obamiro, KO, Odetokun, IA, Oduro, MS, Ogundijo, OA, Ogunfowokan, AA, Ogunkoya, A, Oguntade, AS, Oh, I-H, Ojo-Akosile, TR, Okati-Aliabad, H, Okekunle, AP, Okonji, OC, Olagunju, AT, Olatubi, MI, Oliveira, GMM, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omer, GL, Ong, S, Onie, S, Onwujekwe, OE, Opejin, AO, Ordak, M, Orish, VN, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostojic, SM, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, OT, Ozair, A, P A, MP, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Pantea Stoian, AM, Parikh, RR, Park, E-K, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Patel, J, Pathan, AR, Patil, S, Patoulias, D, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, P, Pereira, M, Pereira, MO, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Piradov, MA, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, RV, Poluru, R, Ponkilainen, VT, Popovic, DS, Postma, MJ, Pour-Rashidi, A, Prabhu, D, Prada, SI, Pradhan, J, Pradhan, PMS, Prashant, A, Prates, EJS, Priscilla, T, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raggi, C, Raheem, N, Rahim, F, Rahim, MJ, Rahimibarghani, S, Rahman, MMMR, Rahman, M, Rahman, MA, Rahman, T, Rahmani, AM, Rahmanian, M, Rahmanian, N, Rahmati, R, Rahmawaty, S, Raimondo, D, Raja, A, Rajput, P, Ramadan, M, Ramasamy, SK, Ramazanu, S, Ramteke, PW, Rana, K, Rana, RK, Ranabhat, CL, Rane, A, Rao, CR, Rao, M, Rasella, D, Rashedi, V, Rashid, AM, Rasouli-Saravani, A, Rastogi, P, Rasul, A, Rathish, D, Rathnaiah Babu, G, Rauniyar, SK, Ravangard, R, Rawaf, DL, Rawaf, S, Raza, RZ, Redwan, EMM, Reifels, L, Reitsma, MB, Remuzzi, G, Rengasamy, KRR, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, LF, Rezaei, N, Rezaei, ZS, Rezaeian, M, Rhee, TG, Rickard, J, Robalik, T, Robinson-Oden, HE, Rocha, HAL, Rodrigues, M, Rodriguez, JAB, Roever, L, Romadlon, DS, Ronfani, L, Rony, MKK, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Rubagotti, E, Ruela, GDA, Rumisha, SF, Runghien, T, Russo, M, Saad, AMA, Saber, K, Saber-Ayad, MM, Sabet, CJ, Sabour, S, Sachdev, PS, Saddler, A, Sadee, BA, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Saghafi, A, Sagoe, D, Sahebkar, A, Sahoo, PM, Sajid, MR, Salam, N, Salamati, P, Salami, AA, Saleh, MA, Salehi, L, Salem, MR, Salemcity, AJ, Salimi, S, Samadi Kafil, H, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santric-Milicevic, MM, Sao Jose, BP, Saraswathy, SYI, Saravanan, A, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sartorius, B, Satpathy, M, Sayeed, A, Scarmeas, N, Schaarschmidt, BM, Schinckus, C, Schuermans, A, Schumacher, AE, Schutte, AE, Schwebel, DC, Schwendicke, F, Selvaraj, S, Semreen, MH, Senapati, S, Sengupta, P, Senthilkumaran, S, Serban, D, Sethi, Y, Seylani, A, Shafie, M, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Shaikh, MA, Shalash, AS, Shamekh, A, Shamim, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, A, Sharma, M, Sharma, S, Sharma, V, Shastry, RP, Shayan, M, Shekhar, S, Shenoy, RR, Shetty, M, Shetty, PH, Shetty, PK, Shi, P, Shiani, A, Shigematsu, M, Shimels, T, Shiri, R, Shittu, A, Shiue, I, Shivakumar, KM, Shool, S, Shorofi, SA, Shrestha, S, Shuval, K, Si, Y, Siddig, EE, Sidhu, JK, Silva, JP, Silva, LMLR, Silva, S, Silva, TPR, Simpson, CR, Simpson, KE, Singh, A, Singh, BB, Singh, B, Singh, H, Singh, J, Singh, P, Skou, ST, Smith, G, Sobia, F, Socea, B, Solanki, S, Soleimani, H, Soliman, SSM, Song, Y, Soyiri, IN, Spartalis, M, Spearman, S, Sreeramareddy, CT, Stanaway, JD, Stanikzai, MH, Starodubova, AV, Stein, DJ, Steiner, C, Steiropoulos, P, Stockfelt, L, Stokes, MA, Straif, K, Subedi, N, Suliankatchi Abdulkader, R, Sultana, A, Sun, J, Sundström, J, Swain, CK, Szarpak, L, Szeto, MD, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabb, KM, Tabche, C, Tabish, M, Taheri Abkenar, Y, Taheri Soodejani, M, Taiba, J, Talaat, IM, Tamuzi, JL, Tan, K-K, Tang, H, Tat, NY, Tavakoli Oliaee, R, Tavangar, SM, Taveira, N, Tbakhi, A, Tehrani, H, Temsah, M-H, Teramoto, M, Tesfaye, BT, Teye-Kwadjo, E, Thangaraju, P, Thankappan, KR, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thygesen, LC, Ticoalu, JHV, Timalsena, D, Tiruye, TY, Tiwari, K, Tomo, S, Tonelli, M, Topor-Madry, R, Touvier, M, Tovani-Palone, MR, Tran, AT, Tran, JT, Tran, NM, Tran, TH, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsermpini, EE, Tumurkhuu, M, Turnock, ST, Udoh, A, Ullah, A, Ullah, S, Umakanthan, S, Umar, M, Umar, SS, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, JS, Vahdati, S, Vaithinathan, AG, Vakili, O, Valizadeh, R, Van den Eynde, J, Vart, P, Varthya, SB, Vasankari, TJ, Vasic, M, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Vijayageetha, M, Villafañe, JH, Vinayak, M, Violante, FS, Vladimirov, SK, Vlassov, V, Vo, B, Vohra, K, Vos, T, Wadood, AW, Waheed, Y, Wang, F, Wang, S, Wang, Y, Wang, Y-P, Wanjau, MN, Waqas, M, Ward, P, Waris, A, Wassie, EG, Watson, S, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weldetinsaa, HLL, Wells, KM, Wen, YF, Westerman, R, Wiangkham, T, Wickramasinghe, DP, Widowati, E, Wojewodzic, MW, Woldeyes, DH, Wolf, AW, Wolfe, CDA, Wu, C, Wu, D, Wu, F, Wu, J, Wu, Z, Wulf Hanson, S, Xiao, H, Xu, S, Yadav, R, Yamagishi, K, Yang, D, Yano, Y, Yarahmadi, A, Yazdani Nia, I, Ye, P, Yesodharan, R, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yin, D, Yip, P, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yu, EA, Yu, Y, Yuan, C-W, Yusuf, H, Zafar, U, Zafari, N, Zahid, MH, Zakham, F, Zaki, N, Zerfu, TA, Zhang, H, Zhang, J, Zhang, L, Zhang, Y, Zhang, Z, Zhao, X-JG, Zhao, Y, Zhao, Z, Zhong, C, Zhou, B, Zhou, J, Zhou, S, Zhu, B, Zhumagaliuly, A, Zielińska, M, Zoghi, G, Zumla, A, Zyoud, SH, Smith, AE, and Murray, CJL
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- 2024
5. The role of energy conservation in the household sector to achieve net zero emission (NZE) conditions in Indonesia by using optimization energy model.
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Fitriana, I., Santosa, J., Sugiyono, A., and Rahardjo, I.
- Abstract
The Government of Indonesia has pledged to adopt energy transition pathways toward net zero emission (NZE) by 2060. One of the NZE pathways is to implement energy conservation in the household sector. The household sector is a big energy end-user, mainly using Liquefied Petroleum Gas (LPG) and electricity. The LPG consumption in this sector reaches 95.9% of total LPG consumption in Indonesia. LPG consumption is mostly supplied from imports, contributing to the large Indonesian current account deficit. Electricity usage is also dominant, with a current share of 41.7% compared to the national electricity consumption. The use of LPG and electricity will continue to increase. However, there are still many opportunities to apply energy efficiency and conservation measures to the LPG and electricity uses in the sector by using various technology options. These measures align with Government Regulation No. 70 in 2009 about Energy Conservation. This regulation includes substituting LPG stoves with electric stoves and replacing inefficient technology with energy-saving technology for lighting and other household appliances such as refrigerators and air conditioning. This paper selects a set of household energy technology options using the least cost optimization approach for long-term projection. Implementing energy efficiency and conservation will significantly reduce the energy demand in the household sector and have consequences to lower greenhouse gas (GHG) emissions, which will support the achievement of Indonesia's NZE targets in 2060. The results of the NZE scenario will reduce household sector emissions by 28.7 million tons of CO2e and contribute 4.11% to the reduction of national GHG emissions. In this scenario, a lessening in LPG imports by 6.18 million tons and the accession of LPG exports due to the revitalization of oil refineries will escalate the potential of national income by 8.2 billion USD in 2060. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Job Satisfaction as a Mediating Variable between Transformational Leadership Style and Work Environment on Organizational Commitment at Maternity Clinic in Purwokerto
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Fitriana, I., primary, Bagis, F., additional, Darmawan, A., additional, and Kharismasyah, A. Y., additional
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- 2024
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7. The potential of growol as healthy traditional food: a mini review
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Nur Fitriana I., null Marwanti, and Pamadhi H.
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Food Science - Abstract
This study aimed to describe the benefits of growol as a healthy traditional food is made from fermented cassava. Cassava is a popular and abundant nutritional food in Indonesia, and it can be used as a healthy alternative to rice due to its high carbohydrate content. Cassava is also used in the production of growol, healthy traditional food prepared through a fermentation process. Stripping, cutting, soaking (fermentation), pressing, grinding, steaming and moulding are all steps in the process of making growol. Besengek tempeh, pentho and kethak are commonly served as side dishes. In the fermentation process, lactic acid bacteria (LAB) is used, which is good for digestion and may prevent diarrhoea. Growol is useful for patients with diabetes and dyslipidemia since it contains a lot of minerals, fibre, and carbohydrates, and has a low glycemic index. In addition to its health benefits, growol is quite inexpensive, making it affordable to the general public. Growol's popularity, on the other hand, is declining, owing to young people's dislike of its sour and bland flavour. In fact, further innovations are required to increase its popularity through an efficient processing method. Growol flour, bakpia growol, and sweet growol are examples of innovative processing methods for this traditional food. This study aimed to describe the benefits of growol as a healthy traditional food.
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- 2023
8. Implementation of electric vehicles to support energy conservation and efficiency improvement in the transportation sector in Indonesia.
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Fitriana, I, Hadiyanto, Warsito, B, Hilmawan, E, Santosa, J, and Sugiyono, A
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- 2023
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9. Development Strategy For Forest Park Tourism in Ngata Baru Village Sigi Biromaru Subdistrict, Sigi District
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Hasriani Muis, Imran Rachman, and Nana Fitriana I Ladjudo
- Abstract
Nana Fitriana I Ladjudo (2020), dengan judul “Strategi Pengembangan Wisata Taman Hutan Raya (Tahura) Di Desa Ngata Baru Kecamatan Sigi Biromaru Kabupaten Sigi”. Dibimbing oleh Imran Rachman, dan Hasriani Muis. Tujuan penelitian ini yaitu mengetahui peran stakeholder dalam pengembangan Wisata Taman Hutan Raya di Desa Ngata Baru Kecamatan Sigi Biromaru Kabupaten Sigi dan merumuskan strategi untuk mengoptimalkan pengembangan wisata Taman Hutan Raya di Desa Ngata Baru Kecamatan Sigi Biromaru Kabupaten Sigi. Penelitian dilakukan melalui kegiatan survey dan wawancara yang dilengkapi dengan daftar pertanyaan (Questioner). Penentuan responden dilakukan secara sengaja (purposive sampling). Sementara untuk analisis data menggunakan analisis SWOT dan analisis stakeholder. Berdasarkan hasil penelitian, diketahui bahwa peran stakeholder dalam penelitian ini terbagi dalam 3 kelompok, yaitu kelompok subject merupakan kelompok PKL dan kelompok tani hutan yang memiliki kepentingan tinggi, namun pengaruhnya rendah dalam pengembangan wisata Tahura di Desa Ngata Baru, kelompok key player merupakan Dinas Kehutanan Provinsi Sulawesi Tengah, UPT TAHURA dan Dinas Parawisata yang merupakan stakeholder paling berperan dalam pengembangan wisata TAHURA di Desa Ngata Baru, dan kelompok crowd merupakan Pemerintah Desa dan pengusaha ojek Desa Ngata Baru yang mempunyai peran sangat rendah terhadap pengembangan TAHURA di Desa Ngata Baru. Dari hasil analisis SWOT yang dilakukan, wisata TAHURA di Desa Ngata Baru ke dalam Kuadran Pertama pada diagram SWOT, adapun alternatif strategi yang digunakan, adalah SO (Strength and Opportunities), dengan pertimbangan bahwa wisata TAHURA di Desa Ngata Baru mempunyai potensi alam yang banyak dan besar untuk dikembangkan, akan tetapi belum termanfaatkan secara optimal, untuk itu dalam mengembangkan wisata TAHURA di Desa Ngata Baru harus menciptakan strategi dengan menggunakan kekuatan (Strength) untuk memanfaatkan peluang (Opportunities), yaitu dengan cara: a) Mengelola potensi obyek wisata yang dimiliki (panorama alam yang indah, sejuk dan masih asli; sumber air yang cukup melimpah dan suasana obyek wisata yang memberikan kenyamanan) dengan otonomi daerah yang memberikan kewenangan pemerintah daerah untuk mengelola potensi daerahnya masing-masing; b) Meningkatkan keamanan di obyek wisata guna menjaga kenyamanan dan menarik lebih banyak pengunjung untuk datang ke obyek wisata tersebut; c) Melakukan inovasi produk dan atraksi wisata seperti pengadaan fasilitas permainan air, gardu pandang dan kereta wisata; dan d) Menafaatkan jarak tempuh obyek wisata yang dekat dengan kota untuk mempermudah aksesbilitas pengunjung, serta dapat dengan mudah pula menarik investasi swasta.
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- 2021
10. Clinical Profile of Elderly Patients with COVID-19 hospitalised in Indonesia's National General Hospital
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Azwar, M. K., Setiati, S., Rizka, A., Fitriana, I., Siti Rizny Fitriana Saldi, and Safitri, E. D.
- Subjects
Male ,lcsh:Internal medicine ,Inpatients ,SARS-CoV-2 ,Pneumonia, Viral ,COVID-19 ,Comorbidity ,Middle Aged ,clinical profile ,Hospitals, General ,elderly ,geriatric patient ,Hospitalization ,Survival Rate ,Betacoronavirus ,Sex Factors ,Indonesia ,Humans ,Female ,Sex Distribution ,lcsh:RC31-1245 ,Coronavirus Infections ,Pandemics ,Aged - Abstract
Latar Belakang Sebanyak 38.6% kasus kematian pasien COVID-19 di Indonesia terjadi di populasi lansia. Data mengenai profil klinis pasien rawat inap lansia dengan COVID-19 masih tidak ada. Padahal kelompok pasien ini adalah pasien risiko tinggi selama pandemi ini yang memerlukan perhatian lebih. Metode Studi deskriptif ini menggunakan data lengkap pasien lansia dengan COVID-19 yang dirawat inap di Rumah Sakit Umum Pusat Nasional Cipto Mangunkusumo (RSUPN Cipto Mangunkusumo) dari April hingga akhir Agustus 2020. Data termasuk karakteristik klinis, gejala, komorbiditas, multimorbiditas dan luaran mortalitas pasien. Hasil Di populasi pasien lansia (n=44), mayoritas berusia di antara 60-69 tahun (68%), berjenis kelamin laki-laki (66%), dan tidak memiliki riwayat kontak erat dengan pasien COVID-19 sebelumnya (86%). Gejala tersering ialah demam, batuk, dan sesak yang merupakan gejala khas COVID-19, sedangkan penyakit kronis tersering adalah diabetes melitus, hipertensi, dan keganasan. Multimorbiditas ditemukan hanya di 14% pasien lansia, dan para pasien tersebut bertahan hidup pasca infeksi virus SARS-CoV-2. Angka kematian pasien lansia rawat inap dengan COVID-19 di studi ini adalah 23%, dan 90% dari kasus kematian berjenis kelamin laki-laki. Kesimpulan Pasien laki-laki mendominasi kasus terkonfirmasi dan kasus kematian lansia dengan COVID-19. Gejala khas COVID-19 hanya ditemukan di sekitar setengah pasien penelitian. Pasien yang meninggal dunia memiliki persentase gejala khas lebih tinggi. Gejala tidak khas pun mungkin ditemukan di pasien lansia. Immunosenescence dan fungsi imunoregulasi jenis kelamin tertentu dihipotesiskan memiliki peran penting dalam menyebabkan kematian lansia di studi ini. Kata Kunci: Profil Klinis, Lansia, Pasien Geriatri, COVID-19, Indonesia ABSTRACT Background Older people contributed to 38.6% of death cases related to COVID-19 in Indonesia. Data regarding clinical profile of hospitalised elderly with COVID-19 in Indonesia were still lacking. Older people are at-risk population in the pandemic, whom we should pay attention to. Methods This single centre descriptive study utilised complete data of elderly inpatients with COVID-19 in Indonesia’s national general hospital from April to late August 2020. The data consisted of clinical characteristics, symptoms, comorbidities, multimorbidity, and mortality outcome. Results Among elderly patients (n=44), a majority of patients were aged 60-69 years (68%), were male (66%), and had no history of close contact with COVID-19 patient (86%). The most common symptoms were fever, cough and shortness of breath (classic symptoms of COVID-19), whereas the most common chronic diseases were diabetes mellitus, hypertension, and malignancy. Multimorbidity was only found in 14% of patients, all of whom remained alive following SARS-CoV-2 infection. The death rate among elderly inpatients with COVID-19 in this study was 23%, and male older adults contributed to 90% of death cases. Conclusion Male patients dominated both confirmed cases and death cases among elderly with COVID-19. Classic symptoms of COVID-19 were only found in about half of the study patients. Non-survivors had higher percentage of the classic symptoms of COVID-19 than survivors. Atypical COVID-19 presentations are possible in older adults. We postulated that immunosenescence and sex-specific immunoregulatory function play an important role in causing death in this study cohort. Keywords: Clinical Profile, Elderly, Geriatric Patient, COVID-19, Indonesia
- Published
- 2020
11. Development Strategy For Forest Park Tourism in Ngata Baru Village Sigi Biromaru Subdistrict, Sigi District
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Ladjudo, Nana Fitriana I, primary, Rachman, Imran, primary, and Muis, Hasriani, primary
- Published
- 2021
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12. Stable establishment of wMel Wolbachia in Aedes aegypti populations in Yogyakarta, Indonesia
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Barker, CM, Tantowijoyo, W, Andari, B, Arguni, E, Budiwati, N, Nurhayati, I, Fitriana, I, Ernesia, I, Daniwijaya, EW, Supriyati, E, Yusdiana, DH, Victorius, M, Wardana, DS, Ardiansyah, H, Ahmad, RA, Ryan, PA, Simmons, CP, Hoffmann, AA, Rancès, E, Turley, AP, Johnson, P, Utarini, A, O'Neill, SL, Barker, CM, Tantowijoyo, W, Andari, B, Arguni, E, Budiwati, N, Nurhayati, I, Fitriana, I, Ernesia, I, Daniwijaya, EW, Supriyati, E, Yusdiana, DH, Victorius, M, Wardana, DS, Ardiansyah, H, Ahmad, RA, Ryan, PA, Simmons, CP, Hoffmann, AA, Rancès, E, Turley, AP, Johnson, P, Utarini, A, and O'Neill, SL
- Abstract
The successful establishment of the wMel strain of Wolbachia for the control of arbovirus transmission by Aedes aegypti has been proposed and is being implemented in a number of countries. Here we describe the successful establishment of the wMel strain of Wolbachia in four sites in Yogyakarta, Indonesia. We demonstrate that Wolbachia can be successfully introgressed after transient releases of wMel-infected eggs or adult mosquitoes. We demonstrate that the approach is acceptable to communities and that Wolbachia maintains itself in the mosquito population once deployed. Finally, our data show that spreading rates of Wolbachia in the Indonesian setting are slow which may reflect more limited dispersal of Aedes aegypti than seen in other sites such as Cairns, Australia.
- Published
- 2020
13. The Plankton Composition from the Lagoon to the Marine Entrance at the West Part of Segara Anakan Mangrove Ecosystem in Cilacap
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Sastranegara, M H, primary, Widyartini, D S, additional, Fitriana, I, additional, and Rani, K M, additional
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- 2020
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14. Star formation properties of X-ray detected galaxies in COSMOS field: Connection between AGN activity and recent star formation
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Fitriana, I K, primary and Murayama, T, additional
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- 2020
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15. Antioxidant supplementation in pregnant women with low antioxidant status
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Wibowo N, Purwosunu Y, Sekizawa A, Idriansyah L, Fitriana I., FARINA, ANTONIO, Wibowo N, Purwosunu Y, Sekizawa A, Farina A, Idriansyah L, and Fitriana I
- Subjects
Adult ,VITAMIN-C ,HUMAN PLACENTA ,Antioxidants ,PREECLAMPSIA ,Young Adult ,Double-Blind Method ,Pre-Eclampsia ,Pregnancy ,Dietary Supplements ,Humans ,Female ,RNA, Messenger ,OXIDATIVE STRESS - Abstract
Aim: The aim of this study was to investigate the benefit of antioxidant supplementation in a cohort of women with low antioxidant status and determine the changes in cell-free mRNA. Material and Methods: This study was a randomized, placebo-controlled trial of 812 weeks' pregnant women who had low antioxidant status treated with either antioxidants or control diets daily until 2 weeks' postpartum. The primary end-point was the risk of pre-eclampsia and the secondary end-point was the changes of angiogenic and anti-oxidant mRNA markers related to the outcome (ClinicalTrial.gov, number NCT01232205). Results: There were 110 women enrolled in the study, randomly assigned to the supplementation (n = 52) and control group (n = 58). The overall rate of pre-eclampsia was 8.7% (nine subjects). There were significant differences (P = 0.034) between the supplementation and control group in the incidence of pre-eclampsia (2.0% [one case] and 14.5% [eight cases], respectively) and mRNA level of superoxide-dismutase, heme oxygenase-1, vascular endothelial growth factor receptor-1, endoglin and placental growth factor after supplementation. Conclusion: Supplementation of women with low antioxidant status with micronutrients containing antioxidants during early gestation might reduce the risk of pre-eclampsia.
- Published
- 2012
16. Kepatuhan Konsumsi Tablet Zat Besi Berdasarkan Tingkat Pengetahuan Ibu Hamil
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Fitriana Ikhtiarinawati Fajrin and Ayu Erisniwati
- Subjects
iron tablets ,knowledge ,obedience. ,Medicine ,Medicine (General) ,R5-920 - Abstract
One of the factors causing the high prevalence of anemia is the low compliance of pregnant women in consuming iron during pregnancy. The compliance of pregnant women in consuming iron during pregnancy cannot be separated from the level of knowledge that pregnant women have. This study aims to analyze the relationship between compliance with iron tablet consumption and the level of knowledge of pregnant women. This type of research is an analytical study with a survey method with a cross-sectional approach. The research was conducted on July 1-August 15, 2020, which was conducted at BPS Ernawati, Laren District, Lamongan Regency, with 21 respondents. The data collection technique used a questionnaire. Data analysis used fisher exact correlation test. Based on the results of the study, it showed that the majority had less knowledge about the importance of consuming iron tablets, namely as many as 10 respondents (47,6%). The majority of respondents did not comply with the consumption of iron tablets (57,1%). The majority of respondents with insufficient knowledge were not obedient, (38,1%), the majority of respondents with sufficient knowledge, were obedient as (19,1%), while the majority of respondents with high knowledge were obedient, (14,3%), and based on the statistical test results obtained p-value (0,033). This study concludes that there is a relationship between compliance with iron tablet consumption on the level of knowledge of pregnant women at BPS Diana Ernawati.
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- 2021
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17. Spatial and Temporal Variation inAedes aegyptiandAedes albopictus(Diptera: Culicidae) Numbers in the Yogyakarta Area of Java, Indonesia, With Implications forWolbachiaReleases
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Tantowijoyo, W., primary, Arguni, E., additional, Johnson, P., additional, Budiwati, N., additional, Nurhayati, P. I., additional, Fitriana, I., additional, Wardana, S., additional, Ardiansyah, H., additional, Turley, A. P., additional, Ryan, P., additional, O’Neill, S. L., additional, and Hoffmann, A. A., additional
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- 2015
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18. The effect of using steel slag waste on stability in porous asphalt mixture
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Rahmawati Anita, Soebandono Bagus, Widodo Wahyu, and Fitriana Indri Rahmandhani
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Environmental sciences ,GE1-350 - Abstract
The road is an access that connects one place to another in one land. According to Law Number 38 of 2004 concerning roads, the definition of a road is a land transportation infrastructure which includes all parts of the road including auxiliary buildings and equipment. But it often happens that road construction is not accompanied by good maintenance, giving rise to various kinds of problems. One of the road damages that occurred in Indonesia was caused by standing water on the road surface. This is because Indonesia has a high level of rainfall. Therefore, the use of porous asphalt as a road surface layer can be used as an effort to deal with this problem. The use of steel slag waste material is to reduce the use of natural aggregates and to reduce B3 waste, which is increasing day by day. In this study, the coarse aggregate retained on the 3/8" and No. 4 filters in the porous asphalt mixture was replaced with steel slag aggregate with variations of 0%, 25%, 50%, 75% and 100% with variations in asphalt content of 5%, 5, 5%,6%, 6.5% and 7%. The purpose of this study was to determine the effect of using steel slag waste on the stability level of porous asphalt pavements. The specification used in this study is the Australian Asphalt Pavement Association (2004). The results of the research that has been done, it shows that the use of steel slag as a substitute for coarse aggregate is retained by the 3/8" and No. 4 on porous asphalt mixtures can increase the stability value of porous asphalt for all variations in existing asphalt content.
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- 2023
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19. Kepatuhan Konsumsi Zat Besi (Fe) Terhadap Kejadian Anemia Pada Ibu Hamil
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Fitriana Ikhtiarinawati Fajrin
- Subjects
kepatuhan ,tablet fe ,anemia ,Medicine - Abstract
Pemberian tablet Fe masih belum mencapai target di mana pemerintahan pusat menetapkan standar pelayanan minimal cakupan pemberian tablet Fe selama kehamian sebesar 90%. Penelitian ini bertujuan untuk mengetahui kepatuhan minum tablet Fe, kejadian anemia, dan menganalisis pengaruh kepatuhan minum tablet Fe dengan kejadian anemia. Penelitian ini menggunakan metode penelitian survey analitik dengan pendekatan cross sectional. Sumber data diperoleh dari semua wanita hamil pada usia kehamilan trimeser II dan III yang melakukan pemeriksaan kehamilan di BPS Diana Ernawati Desa Laren Kecamatan Laren Kabupaten Lamongan, pada 1 Maret 2020–15 April 2020 dengan jumlah populasi 19 orang. Teknik pengambilan sampel menggunakan total sampling. Teknik pengumpulan data menggunakan kuesioner yang bersumber dari data primer dan data sekunder. Data di analisis data menggunakan Fisher Exact Test. Berdasarkan hasil penelitian menunjukkan mayoritas responden patuh dalam konsumsi tablet Fe yaitu sebanyak 12 respoden (63%). Mayoritas responden tidak mengalami anemia yaitu sebanyak 13 responden (68.4%). Mayoritas responden yang patuh konsumsi tablet Fe tidak mengalami anemia yaitu sebanyak 10 responden (83.4%), sedangkan mayoritas responden yang tidak patuh konsumsi tablet Fe mengalami anemia sebanyak 4 responden (57.1%). Simpulan dari penelitian ini terdapat pengaruh antara kepatuhan minum tablet Fe dengan kejadian anemia pada Ibu Hamil di BPS Diana Ernawati Desa Laren Kecamatan Laren Kabupaten Lamongan, dengan p-value (0.011). Diperlukan upaya promosi kesehatan, komunikasi informasi dan edukasi (KIE) untuk meningkatkan kesadaran ibu hamil pentingnya dalam kepatuhan mengkonsumsi tablet Fe.
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- 2020
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20. Husband's Support for Regularity of Antenatal Care (ANC) (In the village polyclinic in Drenges Village, Sugihwaras District Bojonegoro Regency)
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Fitriana Ikhtiarinawati Fajrin
- Subjects
husband's support, antenatal care ,Gynecology and obstetrics ,RG1-991 - Abstract
This study aims to determine the support of the husband, know the regularity of antenatal care and analyse the relationship of husband's support for the regularity of antenatal care. This research is a descriptive analytic study with Cross Sectional approach. Sources of data were obtained from all pregnant women who examined at the village polyclinic in Drenges Village, Bojonegoro Regency on November 1, 2017 - May 1, 2018 with a population of 28 people. The sampling technique uses Total Sampling. Data collection techniques use primary data and secondary data. Primary data in the form of data about husband's support for antenatal care obtained from the questionnaire, while secondary data in the form of data about the regularity of antenatal care obtained from medical records and MCH books, then the data were analyzed descriptively and by statistical analysis using SPSS 22 correlation test. The results of this study indicate that the majority of husbands' support is lacking as many as 19 respondents (68%), the majority of respondents do not regularly conduct Antenatal Care examinations as many as 17 respondents (61%), the majority of respondents who received husband’s support regularly conducted Antenatal Care, namely 6 respondents (67 %), and respondents who lacked husband's support, the majority of them did not regularly conduct Antenatal Care, namely 14 respondents (74%). From the results of the correlation test, the value of sig = 0,000 means that H0 is rejected and H1 is accepted. From the results of the correlation test also obtained a correlation coefficient of 0.8 which means that the support of the husband with the ANC regularity is very strong. The conclusions from this study are the relationship between husband's support and the regularity of the ANC with a very strong relationship.
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- 2019
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21. The Effect of Colistin Administration as Medicated Feed on Alanine Aminotransferase and Creatinine Level in Broiler Infected with Escherichia coli
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Nurul Fitri Aisah, Fitriana Ida, Windraningtyas Rosetyadewi Antasiswa, Muhtar Pratama Anggi, Ika Septiana Aria, Cahyo Budi Setiawan Dwi, and Dwi Wijayanti Agustina
- Subjects
Microbiology ,QR1-502 ,Physiology ,QP1-981 ,Zoology ,QL1-991 - Abstract
Colistin is a decapeptide antibiotic with narrow spectrum activity, mainly used as treatment for Gram negative bacteria. This study aims to scientifically determine the effect of colistin administration as medicated feed on alanine aminotransferase (ALT) and creatinine level in broiler infected with Escherichia coli. KTOP group as positive control, KTON group as negative control, while I, II, and III groups were infected with Escherichia coli 1 x 108 CFU/ml 0.1 ml via intratracheal route. Group I, II, and III were given colistin treatment dosage of 0.3 g/kg food, 0.6 g/kg food, and 1.2 g/kg food. Blood samples were taken through brachial veins for ALT and creatinine examination with a Caretium NB-201 semi-auto chemistry analyzer. Data were examined statistically using IBM SPSS Statistics 24 software and graphically using Microsoft Excel 365. Conclusion of the research by statistical analysis with Kruskal-Wallis test obtained ALT test results P = 0.147 and creatinine test results P = 0.815. Based on the results of this study, the administration of colistin medicated feed did not cause a significant effect on ALT and creatinine level in broiler infected with Escherichia coli, indicating that colistin has low potential toxicity while given as medicated feed.
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- 2021
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22. Crystallinity and Electrical Conductivity of PANI-Ag/Ni Film: The Role of Ultrasonic and Silver Doped
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Diantoro, M, Fitriana, I N, Parasmayanti, F, Taufiq, A, Mufti, N, and Nur, H
- Abstract
Polyaniline (PANI) is typically a conductive polymer which has a uniqueness in structure and physical properties. The physical properties generally can be controlled by introducing a specific dopant as well as other processing parameters. This polymer has been widely investigated and applied in various fields, especially in electronics. Some metallic elements have been introduced to modified its characteristic such as iron and copper. In order to improve the characteristic of this material, it is important to study the optimum process as well as the elemental substitution of PANI films. In this study, we report the influence of employing sonochemistry technic and the silver substitution on the crystallinity and electrical conductivity of PANI/Ni films. The samples have been prepared similarly to the previous report with silver doped in the range of 0.1 [?] x [?] 0.5 M. Other series of the sample were also prepared at various irradiation time of ultrasonic exposure. FTIR spectra showed that EB and ES Polyanilines had been successfully synthesized. X-RD histogram also revealed that crystallinity of the films comparably increased with the increase ultrasonic irradiation time as well as the silver in dopant. Along with the crystallinity, the electrical conductivity of films also increased as an increase of the dopant and of ultrasonic irradiation time.
- Published
- 2017
23. Spatial and Temporal Variation in Aedes aegypti and Aedes albopictus (Diptera: Culicidae) Numbers in the Yogyakarta Area of Java, Indonesia, With Implications for Wolbachia Releases
- Author
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Tantowijoyo, W., Arguni, E., Johnson, P., Budiwati, N., Nurhayati, P. I., Fitriana, I., Wardana, S., Ardiansyah, H., Turley, A. P., Ryan, P., O'Neill, S. L., and Hoffmann, A. A.
- Published
- 2015
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24. Spatial and Temporal Variation in Aedes aegypti and Aedes albopictus (Diptera: Culicidae) Numbers in the Yogyakarta Area of Java, Indonesia, With Implications for Wolbachia Releases
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Tantowijoyo, W., Arguni, E., Johnson, P., Budiwati, N., Nurhayati, P. I., Fitriana, I., Wardana, S., Ardiansyah, H., Turley, A. P., Ryan, P., O’Neill, S. L., and Hoffmann, A. A.
- Abstract
Novel approaches to suppress dengue and other mosquito-borne diseases involve changing the composition of mosquito vector populations, particularly through Wolbachia endosymbionts. The success of these strategies depends on understanding the dynamics of vector populations. In preparation for Wolbachia releases around Yogyakarta, we have studied Aedes populations in five hamlets. Adult monitoring with BioGent-Sentinel (BG-S) traps indicated that hamlet populations had different dynamics across the year; while there was an increase in Aedes aegypti (L.) and Aedes albopictus (Skuse) numbers in the wet season, species abundance remained relatively stable in some hamlets but changed markedly (>2 fold) in others. Local rainfall a month prior to monitoring partly predicted numbers of Ae. aegypti but not Ae. albopictus. Site differences in population size indicated by BG-S traps were also evident in ovitrap data. Egg or larval collections with ovitraps repeated at the same location suggested spatial autocorrelation (<250 m) in the areas of the hamlets where Ae. aegypti numbers were high. Overall, there was a weak negative association (r < −0.43) between Ae. aegypti and Ae. albopictus numbers in ovitraps when averaged across collections. Ae. albopictus numbers in ovitraps and BG-S traps were positively correlated with vegetation around areas where traps were placed, while Ae. aegypti were negatively correlated with this feature. These data inform intervention strategies by defining periods when mosquito densities are high, highlighting the importance of local site characteristics on populations, and suggesting relatively weak interactions between Ae. aegypti and Ae. albopictus. They also indicate local areas within hamlets where consistently high mosquito densities may influence Wolbachia invasions and other interventions.
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- 2016
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25. Maintaining KEAP1 levels in retinal pigment epithelial cells preserves their viability during prolonged exposure to artificial blue light.
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Li CH, Yang TM, Fitriana I, Fang TC, Wu LH, Hsiao G, and Cheng YW
- Abstract
Exposure to artificial blue light, one of the most energetic forms of visible light, can increase oxidative stress in retinal cells, potentially enhancing the risk of macular degeneration. Retinal pigment epithelial (RPE) cells play a crucial role in this process; the loss of RPE cells is the primary pathway through which retinal degeneration occurs. In RPE cells, Kelch-like ECH-associated protein 1 (KEAP1) is located in both the nucleus and cytosol, where it binds to nuclear factor erythroid 2-related factor 2 (NRF2) and p62 (sequestosome-1), respectively. Blue light exposure activates the NRF2-heme oxygenase 1 (HMOX1) axis through both canonical and noncanonical p62 pathways thereby reducing oxidative damage, and initiates autophagy, which helps remove damaged proteins. These protective responses may support the survival of RPE cells. However, extended exposure to blue light drastically decreases the viability of RPE cells. This exposure diminishes the ability of KEAP1 to bind to p62 and reduces the level of KEAP1. Inhibition of autophagy does not prevent KEAP1 degradation, the NRF2-HMOX1 axis, or blue-light-induced cytotoxicity. However, proteasome inhibitor along with a transient increase in the amount of KEAP1 in RPE cells, partially restores the p62-KEAP1 complex and reduces blue-light-induced cytotoxicity. In vivo studies confirmed the downregulation of KEAP1 in damaged RPE cells. Mice subjected to periodic blue light exposure exhibited significant atrophy in the outer retina, particularly in the peripheral areas. Additionally, there was a significant decrease in c-wave electroretinography and pupillary light reflex, indicating functional impairments in both visual and nonvisual physiological processes. These data underscore the essential role of KEAP1 in managing oxidative defense and autophagy pathways triggered by blue light exposure in RPE cells., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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26. Improvement of scoring system used before discharge to predict 30-day all-cause unplanned readmission in geriatric population: a prospective cohort study.
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Setiati S, Ardian LJ, Fitriana I, and Azwar MK
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- Humans, Aged, Middle Aged, Patient Readmission, Patient Discharge, Prospective Studies, Risk Factors, Retrospective Studies, Delirium, Malnutrition, Neoplasms
- Abstract
Background: Data taken from tertiary referral hospitals in Indonesia suggested readmission rate in older population ranging between 18.1 and 36.3%. Thus, it is crucial to identify high risk patients who were readmitted. Our previous study found several important predictors, despite unsatisfactory discrimination value., Methods: We aimed to investigate whether comprehensive geriatric assessment (CGA) -based modification to the published seven-point scoring system may increase the discrimination value. We conducted a prospective cohort study in July-September 2022 and recruited patients aged 60 years and older admitted to the non-surgical ward and intensive coronary care unit. The ROC curve was made based on the four variables included in the prior study. We conducted bivariate and multivariate analyses, and derived a new scoring system with its discrimination value., Results: Of 235 subjects, the incidence of readmission was 32.3% (95% CI 26-38%). We established a new scoring system consisting of 4 components. The scoring system had maximum score of 21 and incorporated malignancy (6 points), delirium (4 points), length of stay ≥ 10 days (4 points), and being at risk of malnutrition or malnourished (7 points), with a good calibration test. The C-statistic value was 0.835 (95% CI 0.781-0.880). The optimal cut-off point was ≥ 8 with a sensitivity of 90.8% and a specificity of 54.7%., Conclusions: Malignancy, delirium, length of stay ≥ 10 days, and being at risk of malnutrition or malnourished are predictors for 30-day all-cause unplanned readmission. The sensitive scoring system is a strong model to identify whether an individual is at higher risk for readmission. The new CGA-based scoring system had higher discrimination value than that of the previous seven-point scoring system., (© 2024. The Author(s).)
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- 2024
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27. The risk of rehospitalization within 30 days of discharge in older adults with malnutrition: A meta-analysis.
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Wahyudi ER, Ronoatmodjo S, Setiati S, Besral, Soejono CH, Kuswardhani T, Fitriana I, Marsigit J, Putri SA, and Harmany GRT
- Subjects
- Humans, Aged, Patient Discharge, Hospitalization, Nutritional Status, Patient Readmission, Malnutrition complications, Malnutrition epidemiology, Malnutrition diagnosis
- Abstract
Introduction: Malnutrition is a global health problem associated with higher rehospitalization risk, subsequently increasing the risks of adverse complications, and mortality in older individuals. Nevertheless, studies investigating this are still scarce, and even fewer reviewed and aggregated. A number of studies have recently assessed the correlation of malnourishment with rehospitalization among older adults., Objective/aim: This systematic review and meta-analysis aimed to elaborate the correlation between malnutrition and 30-day rehospitalization in older adults., Methods: Systematic review was conducted on literatures from Cochrane, ScienceDirect, SpringerLink, Oxford Academic, and MEDLINE according to PRISMA Guideline, investigating the correlation of malnutrition in older adults with rehospitalization, using Malnutrition, Older Adults, and Rehospitalization as keywords. Meta-analysis was done using RevMan, with random-effect analysis model. P values of ≤0.05 were considered statistically significant with results reported as risk ratios (RR), mean differences (MD), 95 % confidence intervals (CI) and I
2 statistics., Results: Seven literatures were analysed, consisting of 19,340 patients aged 65 or older undergoing hospitalization. Subjects were assessed with screening tools to identify malnutrition. Malnourished subjects are compared to others with normal nutrition; in cohort studies with follow-up period ranging from 3 to 16 months. Malnutrition significantly increased the risks of rehospitalization within 30 days (RR 1.73 [95 % CI 1.10-2.72], p = 0.02, I2 = 56 %), overall rehospitalization at all times (RR 1.33 [95 % CI 1.16-1.52], p < 0.0001, I2 = 75 %), and overall mortality (RR 2.66 [95 % CI 1.09-6.50], p = 0.03, I2 = 94 %)., Conclusion: Malnutrition exhibited significant consequences in older patients regarding the rate of rehospitalization and mortality based on this meta-analysis. Further research is highly encouraged to verify this finding., 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 B.V. All rights reserved.)- Published
- 2024
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28. Sedentary Lifestyle of Older Adults and Its Associated Factors: A Multicentre Cross-Sectional Study During COVID-19 Pandemic in Indonesia.
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Setiati S, Harimurti K, Fitriana I, Dwimartutie N, Istanti R, Azwar MK, Aryana IGPS, Sunarti S, Sudarso A, Ariestine DA, Dwipa L, Widajanti N, Riviati N, Mulyana R, Rensa R, Mupangati YM, and Budiningsih F
- Subjects
- Aged, Humans, Cross-Sectional Studies, Indonesia epidemiology, Pandemics, Weight Loss, Middle Aged, COVID-19 epidemiology, Sedentary Behavior
- Abstract
Background: COVID-19 is here to stay, and humans ought to decide how to adapt. We aimed to describe lifestyle changes during COVID-19 pandemic, and to determine the prevalence and factors associated with sedentary lifestyle among older adults., Methods: We obtained data from community-dwelling older adults aged ≥60 years. We presented the data descriptively and used multivariate analysis to assess the association between Physical Activity Scale for the Elderly (PASE) -based sedentary lifestyle and other variables in several tertiary geriatric centres., Results: Among 601 participants, 21.1% had sedentary lifestyle. Ethnic groups with the highest prevalence of sedentary lifestyle were Minang, Balinese, and Sundanese. Changes related to food intake, body weight, and physical activity were seen in a small proportion of older adults. Sun exposure habit was described. Sedentary lifestyle was associated with less consumption of food (OR 2.59, 95% CI 1.07-6.30), weight loss (OR 3.00, 95% CI 1.64-5.48), and higher intensity of snacking (OR 0.45, 95% CI 0.20-0.99)., Conclusion: During COVID-19 pandemic, one out of five older adults had sedentary lifestyle, which was positively associated with less consumption of food and weight loss, and negatively associated with higher intensity of snacking. The prevalence of sedentary lifestyle varied across ethnic groups. Adequate and appropriate food intake may be crucial to keep older adults active, preventing them from entering vicious cycle of malnutrition, sarcopenia, and frailty.
- Published
- 2023
29. Activation of aryl hydrocarbon receptor by azatyrosine-phenylbutyric hydroxamide inhibits progression of diabetic retinopathy mice.
- Author
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Fitriana I, Wu CH, Hsu TJ, Chan YJ, Li CH, Lee CC, Hsiao G, and Cheng YW
- Subjects
- Mice, Humans, Animals, Vascular Endothelial Growth Factor A genetics, Vascular Endothelial Growth Factor A metabolism, Receptors, Aryl Hydrocarbon genetics, Glucose, Retinal Pigments therapeutic use, Diabetic Retinopathy drug therapy, Diabetic Retinopathy pathology, Diabetes Mellitus
- Abstract
Diabetic retinopathy (DR) is a severe consequence of long-term diabetes mellitus and may lead to vision loss. Retinal pigment epithelial (RPE) cells are a diverse group of retinal cells with varied metabolic and functional roles. In hypoxic conditions, RPE cells have been shown to produce angiogenic factors, such as vascular endothelial growth factor (VEGF), which is regulated by hypoxia-inducible factor 1-alpha (HIF1A). VEGF plays a crucial role in angiogenesis in DR. In the present study, we investigated whether azatyrosine-phenylbutyric hydroxamide (AZP) has therapeutic effect on DR therapy. In this study, we treated high glucose-activated human retinal pigment epithelial cells (ARPE-19) with and without AZP. The effector proteins were evaluated using western blotting. In the in vivo study, AZP was administered to the db/db mice as a DR animal model. Moreover, invasive imaging techniques such as optical coherence tomography (OCT), fundus photography, and fundus fluorescein angiography (FFA) were performed on the mice to assess DR progression. We found that treatment of AZP for 12 weeks reversed increasing DR retinal alterations in db/db mice, decreasing vascular density, retinal blood perfusion, retinal thickness, decreasing DR lesion, lipofuscin accumulation, HIF1A, VEGF, and inflammation factor expression. In addition, AZP treatment could activate the aryl hydrocarbon receptor AHR and reverse the high-glucose-induced HIF1A and VEGF in ARPE-19 cells and db/db mice. In conclusion, AZP activated AHR while inhibiting HIF1A and VEGF. This study indicates that AZP may be a promising therapeutic agent for treating DR., 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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30. Aedes aegypti abundance and insecticide resistance profiles in the Applying Wolbachia to Eliminate Dengue trial.
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Tantowijoyo W, Tanamas SK, Nurhayati I, Setyawan S, Budiwati N, Fitriana I, Ernesia I, Wardana DS, Supriyati E, Arguni E, Meitika Y, Prabowo E, Andari B, Green BR, Hodgson L, Rancès E, Ryan PA, O'Neill SL, Anders KL, Ansari MR, Indriani C, Ahmad RA, Utarini A, and Simmons CP
- Subjects
- Animals, Insecticide Resistance, Mosquito Vectors, Aedes, Dengue epidemiology, Dengue prevention & control, Dengue Virus, Wolbachia
- Abstract
The Applying Wolbachia to Eliminate Dengue (AWED) trial was a parallel cluster randomised trial that demonstrated Wolbachia (wMel) introgression into Ae. aegypti populations reduced dengue incidence. In this predefined substudy, we compared between treatment arms, the relative abundance of Ae. aegypti and Ae. albopictus before, during and after wMel-introgression. Between March 2015 and March 2020, 60,084 BG trap collections yielded 478,254 Ae. aegypti and 17,623 Ae. albopictus. Between treatment arms there was no measurable difference in Ae. aegypti relative abundance before or after wMel-deployments, with a count ratio of 0.96 (95% CI 0.76, 1.21) and 1.00 (95% CI 0.85, 1.17) respectively. More Ae. aegypti were caught per trap per week in the wMel-intervention arm compared to the control arm during wMel deployments (count ratio 1.23 (95% CI 1.03, 1.46)). Between treatment arms there was no measurable difference in the Ae. albopictus population size before, during or after wMel-deployment (overall count ratio 1.10 (95% CI 0.89, 1.35)). We also compared insecticide resistance phenotypes of Ae. aegypti in the first and second years after wMel-deployments. Ae. aegypti field populations from wMel-treated and untreated arms were similarly resistant to malathion (0.8%), permethrin (1.25%) and cyfluthrin (0.15%) in year 1 and year 2 of the trial. In summary, we found no between-arm differences in the relative abundance of Ae. aegypti or Ae. albopictus prior to or after wMel introgression, and no between-arm difference in Ae. aegypti insecticide resistance phenotypes. These data suggest neither Aedes abundance, nor insecticide resistance, confounded the epidemiological outcomes of the AWED trial., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2022
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31. Validation method for determining enrofloxacin and tylosin levels in broiler liver, kidney, and muscle using high-performance liquid chromatography.
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Wijayanti AD, Ardiansyah RD, Pratama AM, Haryanto A, and Fitriana I
- Abstract
Background and Aim: Enrofloxacin and tylosin can be combined into an antibiotic formulation which is expected to have a broader range of antibacterial activity against various infections in broilers. Validation method analysis of the levels of these two active compounds needs to be done for future use in pharmacokinetic or residual studies. The present study aims to determine a suitable validation method of isocratic high-performance liquid chromatography (HPLC) to measure the concentration of antibiotic combinations in the broiler liver, kidney, and muscles., Materials and Methods: The combination of enrofloxacin and tylosin in the liver, kidney, and muscle was validated by HPLC method to find the procedures, processes, equipment, and systems used, consistently provides the appropriate results. The chromatography system consisted of an Octadecyl-silica column of 5 mm in diameter and 150 mm in length with a mobile phase of a mixture of 0.05 M monobasic sodium phosphate (pH 2.5) and acetonitrile (65:35 v/v). The solution was detected at a wavelength of 280 nm, 30°C, a flow rate of 1 mL/min, and an injection volume of 20 mL. The combination antibiotics powder was produced from PT Tekad Mandiri Citra, Bandung, Indonesia, and broiler tissues obtained from day-old chick broilers maintained for 30 days with free antibiotic feed., Results: Validation of a combination solution of enrofloxacin and tylosin shows the linearity values of enrofloxacin and tylosin in the liver, kidney, and muscles as r
2 =0.9988, r2 =0.9999, r2 =0.9997, r2 =0.9989, r2 =0.9978, and r2 =0.9962. The accuracy and precision values of enrofloxacin in the liver, kidney, and muscles were 5.53, 6.23, and 6.93, respectively. The values of accuracy and precision of tylosin in the liver, kidney, and muscles were 10.43, 4.63, and 7.16%, respectively. The retention times for enrofloxacin and tylosin were 1.945-2.000 min and 4.175-4.342 min. The limit of detection (LOD) and limit of quantity (LOQ) values for enrofloxacin were 3.03 and 10.1 μg/g, respectively. In contrast, the LOD and LOQ values for tylosin were 9.05 and 30.17 μg/g, respectively., Conclusion: The value of linearity, accuracy, precision, specificity, and sensitivity of the combined solution of enrofloxacin and tylosin showed promising results., Competing Interests: PT. Tekad Mandiri Citra, Indonesia, provided the drug free of cost for this study. However, it does not affect the study and publication at any stage., (Copyright: © Wijayanti, et al.)- Published
- 2022
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32. Malnutrition and depression as predictors for 30-day unplanned readmission in older patient: a prospective cohort study to develop 7-point scoring system.
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Fitriana I, Setiati S, Rizal EW, Istanti R, Rinaldi I, Kojima T, Akishita M, and Azwar MK
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- Activities of Daily Living, Aged, Depression diagnosis, Depression epidemiology, Geriatric Assessment, Humans, Middle Aged, Nutrition Assessment, Nutritional Status, Prospective Studies, Risk Factors, Malnutrition diagnosis, Malnutrition epidemiology, Patient Readmission
- Abstract
Background: Readmission is related to high cost, high burden, and high risk for mortality in geriatric patients. A scoring system can be developed to predict the readmission of older inpatients to perform earlier interventions and prevent readmission., Methods: We followed prospectively inpatients aged 60 years and older for 30 days, with initial comprehensive geriatric assessment (CGA) on admission in a tertiary referral centre. Patients were assessed with CGA tools consisting of FRAIL scale (fatigue, resistance, ambulation, illness, loss of weight), the 15-item Geriatric Depression Scale, Mini Nutritional Assessment short-form (MNA-SF), the Barthel index for activities of daily living (ADL), Charlson Comorbidity Index (CCI), caregiver burden based on 4-item Zarit Burden Index (ZBI), and cognitive problem with Abbreviated Mental Test (AMT). Demographic data, malignancy diagnosis, and number of drugs were also recorded. We excluded data of deceased patients and patients transferred to other hospitals. We conducted stepwise multivariate regression analysis to develop the scoring system., Results: Thirty-day unplanned readmission rate was 37.6 %. Among 266 patients, 64.7 % of them were malnourished, and 46.5 % of them were readmitted. About 24 % were at risk for depression or having depressed mood, and 53.1 % of them were readmitted. In multivariate analysis, nutritional status (OR 2.152, 95 %CI 1.151-4.024), depression status (OR 1.884, 95 %CI 1.071-3.314), malignancy (OR 1.863 95 %CI 1.005-3.451), and functional status (OR 1.584, 95 %CI 0.885-2.835) were included in derivation of 7 score system. The scoring system had maximum score of 7 and incorporated malnutrition (2 points), depression (2 points), malignancy (2 points), and dependent functional status (1 point). A score of 3 or higher suggested 82 % probability of readmission within 30 days following discharge. Area under the curve (AUC) was 0.694 (p = 0.001)., Conclusions: Malnutrition, depression, malignancy and functional problem are predictors for 30-day readmission. A practical CGA-based 7 scoring system had moderate accuracy and strong calibration in predicting 30-day unplanned readmission for older patients.
- Published
- 2021
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33. Reduced dengue incidence following deployments of Wolbachia -infected Aedes aegypti in Yogyakarta, Indonesia: a quasi-experimental trial using controlled interrupted time series analysis.
- Author
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Indriani C, Tantowijoyo W, Rancès E, Andari B, Prabowo E, Yusdi D, Ansari MR, Wardana DS, Supriyati E, Nurhayati I, Ernesia I, Setyawan S, Fitriana I, Arguni E, Amelia Y, Ahmad RA, Jewell NP, Dufault SM, Ryan PA, Green BR, McAdam TF, O'Neill SL, Tanamas SK, Simmons CP, Anders KL, and Utarini A
- Abstract
Background: Ae. aegypti mosquitoes stably transfected with the intracellular bacterium Wolbachia pipientis ( w Mel strain) have been deployed for biocontrol of dengue and related arboviral diseases in multiple countries. Field releases in northern Australia have previously demonstrated near elimination of local dengue transmission from Wolbachia -treated communities, and pilot studies in Indonesia have demonstrated the feasibility and acceptability of the method. We conducted a quasi-experimental trial to evaluate the impact of scaled Wolbachia releases on dengue incidence in an endemic setting in Indonesia. Methods: In Yogyakarta City, Indonesia, following extensive community engagement, w Mel Wolbachia -carrying mosquitoes were released every two weeks for 13-15 rounds over seven months in 2016-17, in a contiguous 5 km
2 area (population 65,000). A 3 km2 area (population 34,000) on the opposite side of the city was selected a priori as an untreated control area. Passive surveillance data on notified hospitalised dengue patients was used to evaluate the epidemiological impact of Wolbachia deployments, using controlled interrupted time-series analysis. Results: Rapid and sustained introgression of w Mel Wolbachia into local Ae. aegypti populations was achieved. Thirty-four dengue cases were notified from the intervention area and 53 from the control area (incidence 26 vs 79 per 100,000 person-years) during 24 months following Wolbachia deployment. This corresponded in the regression model to a 73% reduction in dengue incidence (95% confidence interval 49%,86%) associated with the Wolbachia intervention. Exploratory analysis including 6 months additional post-intervention observations showed a small strengthening of this effect (30 vs 115 per 100,000 person-years; 76% reduction in incidence, 95%CI 60%,86%). Conclusions: We demonstrate a significant reduction in dengue incidence following successful introgression of Wolbachia into local Ae. aegypti populations in an endemic setting in Indonesia. These findings are consistent with previous field trials in northern Australia, and support the effectiveness of this novel approach for dengue control., Competing Interests: No competing interests were disclosed., (Copyright: © 2020 Indriani C et al.)- Published
- 2020
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34. Stable establishment of wMel Wolbachia in Aedes aegypti populations in Yogyakarta, Indonesia.
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Tantowijoyo W, Andari B, Arguni E, Budiwati N, Nurhayati I, Fitriana I, Ernesia I, Daniwijaya EW, Supriyati E, Yusdiana DH, Victorius M, Wardana DS, Ardiansyah H, Ahmad RA, Ryan PA, Simmons CP, Hoffmann AA, Rancès E, Turley AP, Johnson P, Utarini A, and O'Neill SL
- Subjects
- Aedes virology, Animals, Arboviruses, Australia, Biological Control Agents, Disease Transmission, Infectious prevention & control, Female, Indonesia, Male, Aedes microbiology, Mosquito Vectors microbiology, Wolbachia physiology
- Abstract
The successful establishment of the wMel strain of Wolbachia for the control of arbovirus transmission by Aedes aegypti has been proposed and is being implemented in a number of countries. Here we describe the successful establishment of the wMel strain of Wolbachia in four sites in Yogyakarta, Indonesia. We demonstrate that Wolbachia can be successfully introgressed after transient releases of wMel-infected eggs or adult mosquitoes. We demonstrate that the approach is acceptable to communities and that Wolbachia maintains itself in the mosquito population once deployed. Finally, our data show that spreading rates of Wolbachia in the Indonesian setting are slow which may reflect more limited dispersal of Aedes aegypti than seen in other sites such as Cairns, Australia., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2020
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35. Prevalence and Distribution of Dengue Virus in Aedes aegypti in Yogyakarta City before Deployment of Wolbachia Infected Aedes aegypti .
- Author
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Rahayu A, Saraswati U, Supriyati E, Kumalawati DA, Hermantara R, Rovik A, Daniwijaya EW, Fitriana I, Setyawan S, Ahmad RA, Wardana DS, Indriani C, Utarini A, Tantowijoyo W, and Arguni E
- Subjects
- Animals, Cities, Female, Indonesia, Seasons, Serogroup, Aedes microbiology, Biological Control Agents, Dengue Virus isolation & purification, Mosquito Vectors, Wolbachia
- Abstract
Indonesia is one of the countries where dengue infection is prevalent. In this study we measure the prevalence and distribution of dengue virus (DENV) DENV-infected Aedes aegypti in Yogyakarta City, Indonesia, during the wet season when high dengue transmission period occurred, as baseline data before implementation of a Wolbachia-infected Aedes aegypti trial for dengue control. We applied One-Step Multiplex Real Time PCR (RT-PCR) for the type-specific-detection of dengue viruses in field-caught adult Aedes aegypti mosquitoes. In a prospective field study conducted from December 2015 to May 2016, adult female Aedes aegypti were caught from selected areas in Yogyakarta City, and then screened by using RT-PCR. During the survey period, 36 (0.12%) mosquitoes from amongst 29,252 female mosquitoes were positive for a DENV type. In total, 22.20% of dengue-positive mosquitoes were DENV-1, 25% were DENV-2, 17% were DENV-3, but none were positive for DENV-4. This study has provided dengue virus infection prevalence in field-caught Aedes aegypti and its circulating serotype in Yogyakarta City before deployment of Wolbachia-infected Aedes aegypti ., Competing Interests: The authors declare no conflict of interest.
- Published
- 2019
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36. The structural and functional recovery of pancreatic β-cells in type 1 diabetes mellitus induced mesenchymal stem cell-conditioned medium.
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Nugroho WS, Kusindarta DL, Susetya H, Fitriana I, Mulyani GT, Fibrianto YH, Haryanto A, and Budipitojo T
- Abstract
Aim: Various studies have shown that secreted factors alone in culture medium without stem cell are capable of repairing tissues by itself in various conditions involving damaged tissue/organ. Therefore, this study was aimed to investigate the role of human umbilical cord mesenchymal stem cell-derived conditioned medium (CM) on the recovery of pancreatic β-cells in Wistar rats (Rattus norvegicus) with type 1 diabetes mellitus., Materials and Methods: The 0.05 ml CM induction was applied to the diabetic group of rats in weeks 1, 2, 3, and 4. 1 week after each CM induction, insulin concentration was analyzed using ELISA. The pancreas was divided into 3 regions, processed by paraffin method, stained with hematoxylin-eosin, and immunohistochemical method for insulin., Results: This study indicated the decrease in the total number of islets and insulin concentration after the injection of single dose of alloxan. The exocrine acini were also damaged. Microscopic observation detected the presence of small islets in the diabetic group 1 week after the first 0.05 ml CM induction. The number and size of the islets increased in line with the CM doses and time of inductions. Immunohistochemically, the presence of low intensity of insulin-positive cells could be recognized at the splenic and duodenal regions of the pancreas, but not gastric region, 1 week after the first and second 0.05 ml CM induction. The intensity of staining and the number of insulin-positive cells increased dramatically in 1 week after the third and fourth 0.05 ml of CM induction in all regions of the pancreas. The data of insulin blood concentration showed clear differences between the second and the fourth induction of 0.05 ml CM induction., Conclusions: This study showed very strong evidence on the role of human umbilical cord mesenchymal stem cell-derived CM in recovering the pancreatic β-cells damage in Wistar rats (R. norvegicus) with type 1 diabetes mellitus, structurally and functionally.
- Published
- 2016
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