38 research outputs found
Biotechnological production of recombinant tissue plasminogen activator protein (reteplase) from transplastomic tobacco cell cultures
- Author
- Publication venue
- 'Elsevier BV'
- Publication date
- 01/01/2017
- Field of study
Transplastomic plants are a system of choice for the mass production of biopharmaceuticals due to the polyploidy of the plastid genome and the low risk of pollen-mediated outcrossing because of maternal inheritance. However, as field-grown plants, they can suffer contamination by agrochemicals and fertilizers, as well as fluctuations in yield due to climatic changes and infections. Tissue-type plasminogen activator (tPA), a protein used to treat heart attacks, converts plasminogen into plasmine, which digests fibrin and induces the dissolution of fibrin clots. Recently, we obtained transplastomic tobacco plants carrying the K2S gene encoding truncated human tPA (reteplase) with improved biological activity, and confirmed the presence of the target protein in the transgenic plant leaves. Considering the advantages of plant cell cultures for biopharmaceutical production, we established a cell line derived from the K2S tobacco plants. The active form of reteplase was quantified in cultures grown in light or darkness, with production 3-fold higher in light.This work has been supported by a grant from the Spanish Ministry of Science and Innovation (BIO2014-51861-R) and the Generalitat de Catalunya (2014SGR215). Diego Hidalgo is a predoctoral fellow of Mexican CONACyT
Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
- Author
- Abajobir A.
- Abbasi N.
- Abbasi S.
- Abbasi-Kangevari M.
- Abbasifard M.
- Abbastabar H.
- Abd-Allah F.
- Abd-Elsalam S. M.
- Abdelalim A.
- Abdoli A.
- Abdollahpour I.
- Abedi A.
- Abolhassani H.
- Abraham B.
- Abreu L. G.
- Abrigo M. R. M.
- Abu-Gharbieh E.
- Abualhasan A.
- Abushouk A. I.
- Accrombessi M. M. K.
- Adabi M.
- Adebayo O. M.
- Adegbosin A. E.
- Adekanmbi V.
- Adetokunboh O. O.
- Adeyinka D. A.
- Adham D.
- Advani S. M.
- Agasthi P.
- Aghaali M.
- Ahmad S.
- Ahmad T.
- Ahmadi K.
- Ahmadi S.
- Ahmed M. B.
- Aichour M. T. E.
- Aji B.
- Akinyemi O. O.
- Aklilu A.
- Akunna C. J.
- Al-Aly Z.
- Al-Mekhlafi H. M.
- Al-Raddadi R. M.
- Alanzi T. M.
- Alcalde-Rabanal J. E.
- Alemu A.
- Alemu B. W.
- Alhassan R. K.
- Alif S. M.
- Alipour V.
- Alizade H.
- Aljunid S. M.
- Almasi-Hashiani A.
- Alvis-Guzman N.
- Amini S.
- Amiri F.
- Amugsi D. A.
- Anber N. H.
- Ancuceanu R.
- Andrei T.
- Anegago M. T.
- Anjomshoa M.
- Ansari F.
- Ansari-Moghaddam A.
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- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2021
- Field of study
Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations
Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
- Author
- Abajobir A.
- Abbasi N.
- Abbasi S.
- Abbasi-Kangevari M.
- Abbasifard M.
- Abbastabar H.
- Abd-Allah F.
- Abd-Elsalam S.M.
- Abdelalim A.
- Abdoli A.
- Abdollahpour I.
- Abedi A.
- Abolhassani H.
- Abraham B.
- Abreu L.G.
- Abrigo M.R.M.
- Abu-Gharbieh E.
- Abualhasan A.
- Abushouk A.I.
- Accrombessi M.M.K.
- Adabi M.
- Adebayo O.M.
- Adegbosin A.E.
- Adekanmbi V.
- Adetokunboh O.O.
- Adeyinka D.A.
- Adham D.
- Advani S.M.
- Agasthi P.
- Aghaali M.
- Ahmad S.
- Ahmad T.
- Ahmadi K.
- Ahmadi S.
- Ahmed M.B.
- Aichour M.T.E.
- Aji B.
- Akinyemi O.O.
- Aklilu A.
- Akunna C.J.
- Al-Aly Z.
- Al-Mekhlafi H.M.
- Al-Raddadi R.M.
- Alanzi T.M.
- Alcalde-Rabanal J.E.
- Alemu A.
- Alemu B.W.
- Alhassan R.K.
- Alif S.M.
- Alipour V.
- Alizade H.
- Aljunid S.M.
- Almasi-Hashiani A.
- Alvis-Guzman N.
- Amini S.
- Amiri F.
- Amugsi D.A.
- Anber N.H.
- Ancuceanu R.
- Andrei T.
- Anegago M.T.
- Anjomshoa M.
- Ansari F.
- Ansari-Moghaddam A.
- Anteneh Z.A.
- Antriyandarti E.
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- Publication venue
- Publication date
- 01/01/2021
- Field of study
Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.Peer reviewe
The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019
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- Dadras O
- Dagnaw FT
- Dahlawi SMA
- Dai X
- Dandona L
- Dandona R
- Daneshpajouhnejad P
- Danielewicz A
- Dao ATM
- Darwesh AM
- Das S
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- De la Hoz FP
- Debela SA
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- Hugo FN
- Humayun A
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- Jaiswal A
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- Jalili M
- Jalilian S
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- Jang S-I
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- Khajuria H
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- Khanali J
- Khaneghah AM
- Khatab K
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- Kisa A
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- Saqib MAN
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- Silvestris N
- Simegn W
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- Skryabina AA
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- Soeberg MJ
- Sofi-Mahmudi A
- Solomon Y
- Soltani RDC
- Soltani-Zangbar MS
- Song S
- Song Y
- Soodejani MT
- Sorensen RJD
- Soshnikov S
- Sotoudeh H
- Sowe A
- Sufiyan MB
- Suk R
- Suleman M
- Sultana S
- Sur D
- Swamy SN
- Syed ZQ
- Szacska M
- Tabaeian SP
- Tabares-Seisdedos R
- Tabari MAK
- Tabatabaei SM
- Tabuchi T
- Tadbiri H
- Tahbaz SV
- Taheri E
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- Takahashi K
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- Tat NY
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- Tekalegn Y
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- Thapar R
- Thavamani A
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- Ticoalu JHV
- Tiyuri A
- Tollosa DN
- Topor-Madry R
- Toroudi HP
- Touvier M
- Tovani-Palone MR
- Traini E
- Tran KB
- Tran MTN
- Tripathy JP
- Ukke GG
- Ullah I
- Ullah S
- Unnikrishnan B
- Vacante M
- Vaezi M
- Valdez PR
- Vardavas C
- Varniab ZS
- Varthya SB
- Vaziri S
- Velazquez DZ
- Veroux M
- Villeneuve PJ
- Violante FS
- Vladimirov SK
- Vlassov V
- Vo B
- Vos T
- Vu LG
- Wadood AW
- Waheed Y
- Walde MT
- Wamai RG
- Wang C
- Wang F
- Wang N
- Wang Y
- Ward P
- Waris A
- Westerman R
- Wickramasinghe ND
- Woldemariam M
- Woldu B
- Xiao H
- Xu R
- Xu S
- Xu X
- Yadav L
- Yang L
- Yazdanpanah F
- Yeshaw Y
- Yismaw Y
- Yonemoto N
- Younis MZ
- Yousefi Z
- Yousefian F
- Yu C
- Yu Y
- Yunusa I
- Zahir M
- Zaki N
- Zaman BA
- Zangiabadian M
- Zare F
- Zare I
- Zareshahrabadi Z
- Zarrintan A
- Zastrozhin MS
- Zeineddine MA
- Zhang D
- Zhang J
- Zhang Y
- Zhang Z-J
- Zhou L
- Zodpey S
- Zoladl M
- Publication venue
- Publication date
- 20/08/2022
- Field of study
Mapping 123 million neonatal, infant and child deaths between 2000 and 2017
- Author
- Abbasalizad-Farhangi Mahdieh
- Abbasi Masoumeh
- Abd El Razek Hassan Magdy
- Abd El Razek Muhammed Magdy
- Abd-Allah Foad
- Abdoli Amir
- Abdollahi Mohammad
- Abdollahpour Ibrahim
- Abdulkader Rizwan Suliankatchi
- Abrigo Michael R. M.
- Acharya Dilaram
- Adebayo Oladimeji M.
- Adekanmbi Victor
- Adham Davoud
- Afshari Mahdi
- Aghaali Mohammad
- Ahmadi Keivan
- Ahmadi Mehdi
- Ahmadpour Ehsan
- Ahmed Rushdia
- Akal Chalachew Genet
- Akinyemi Joshua O.
- Al-Mekhlafi Hesham M.
- Alahdab Fares
- Alam Noore
- Alamene Genet Melak
- Alene Kefyalew Addis
- Alijanzadeh Mehran
- Alinia Cyrus
- Alipour Vahid
- Aljunid Syed Mohamed
- Almalki Mohammed J.
- Altirkawi Khalid
- Alvis-Guzman Nelson
- Amegah Adeladza Kofi
- Amini Saeed
- Amit Arianna Maever Loreche
- Anbari Zohreh
- Androudi Sofia
- Anjomshoa Mina
- Ansari Fereshteh
- Antonio Carl Abelardo T.
- Arabloo Jalal
- Arefi Zohreh
- Aremu Olatunde
- Armoon Bahram
- Arora Amit
- Artaman Al
- Asadi Anvar
- Asadi-Aliabadi Mehran
- Ashraf-Ganjouei Amir
- Assadi Reza
- Ataeinia Bahar
- Atre Sachin R.
- Ayanore Martin Amogre
- Azari Samad
- Babaee Ebrahim
- Babazadeh Arefeh
- Badawi Alaa
- Bagheri Soghra
- Bagherzadeh Mojtaba
- Baheiraei Nafiseh
- Balalami Nader Jafari
- Balouchi Abbas
- Barac Aleksandra
- Bassat Quique
- Baune Bernhard T.
- Bayati Mohsen
- Bedi Neeraj
- Beghi Ettore
- Behzadifar Masoud
- Behzadifar Meysam
- Belay Yared Belete
- Bell Brent
- Bell Michelle L.
- Berbada Dessalegn Ajema
- Bernstein Robert S.
- Bhattacharjee Natalia V.
- Bhattarai Suraj
- Bhutta Zulfiqar A.
- Bijani Ali
- Bin Zaman Sojib
- Bohlouli Somayeh
- Breitborde Nicholas J. K.
- Britton Gabrielle
- Browne Annie J.
- Burstein Roy
- Busse Reinhard
- Butt Zahid A.
- Car Josip
- Castañeda-Orjuela Carlos A.
- Cerin Ester
- Chanie Wagaye Fentahun
- Chatterjee Pranab
- Chu Dinh-Toi
- Collison Michael L.
- Cooper Cyrus
- Costa Vera M.
- Cárdenas Rosario
- Dalal Koustuv
- Dandona Lalit
- Dandona Rakhi
- Daoud Farah
- Darwesh Aso Mohammad
- Daryani Ahmad
- Das Gupta Rajat
- Davis Weaver Nicole
- Davis Ian
- Davitoiu Dragos Virgil
- De Neve Jan-Walter
- Demeke Feleke Mekonnen
- Demoz Gebre Teklemariam
- Deribe Kebede
- Desai Rupak
- Deshpande Aniruddha
- Desyibelew Hanna Demelash
- Dey Sagnik
- Dharmaratne Samath Dhamminda
- Dhimal Meghnath
- Diaz Daniel
- Doshmangir Leila
- Duraes Andre R.
- Dwyer-Lindgren Laura
- Earl Lucas
- Ebrahimi Roya
- Ebrahimpour Soheil
- Effiong Andem
- Eftekhari Aziz
- Ehsani-Chimeh Elham
- El Sayed Zaki Maysaa
- El Sayed Iman
- El Tantawi Maha
- El-Khatib Ziad
- Emamian Mohammad Hassan
- Enany Shymaa
- Eskandarieh Sharareh
- Eyawo Oghenowede
- Ezalarab Maha
- Faramarzi Mahbobeh
- Fareed Mohammad
- Faridnia Roghiyeh
- Faro Andre
- Fazaeli Ali Akbar
- Fazlzadeh Mehdi
- Fentahun Netsanet
- Fereshtehnejad Seyed-Mohammad
- Fernandes João C.
- Filip Irina
- Fischer Florian
- Foigt Nataliya A.
- Foroutan Masoud
- Francis Joel Msafiri
- Fukumoto Takeshi
- Fullman Nancy
- Gallus Silvano
- Gebre Destallem Gebremedhin
- Gebrehiwot Tsegaye Tewelde
- Gebremeskel Gebreamlak Gebremedhn
- Gessner Bradford D.
- Geta Birhanu
- Gething Peter W.
- Ghadimi Reza
- Ghadiri Keyghobad
- Ghajarzadeh Mahsa
- Ghashghaee Ahmad
- Gill Paramjit
- Gill Tiffany K.
- Golding Nick
- Gomes Nelson G. M.
- Gona Philimon N.
- Gopalani Sameer Vali
- Gorini Giuseppe
- Goulart Bárbara Niegia Garcia
- Graetz Nicholas
- Greaves Felix
- Green Manfred S.
- Guo Yuming
- Haj-Mirzaian Arvin
- Haj-Mirzaian Arya
- Hall Brian James
- Hamidi Samer
- Haririan Hamidreza
- Haro Josep Maria
- Hasankhani Milad
- Hasanpoor Edris
- Hasanzadeh Amir
- Hassankhani Hadi
- Hassen Hamid Yimam
- Hay Simon I.
- Hegazy Mohamed I.
- Hendrie Delia
- Henry Nathaniel J.
- Heydarpour Fatemeh
- Hird Thomas R.
- Hoang Chi Linh
- Hollerich Gillian
- Hoseini-Ghahfarokhi Mojtaba
- Hossain Naznin
- Hosseini Mostafa
- Hosseinzadeh Mehdi
- Hostiuc Mihaela
- Hostiuc Sorin
- Househ Mowafa
- Hsairi Mohamed
- Ilesanmi Olayinka Stephen
- Imani-Nasab Mohammad Hasan
- Iqbal Usman
- Irvani Seyed Sina Naghibi
- Islam Nazrul
- Islam Sheikh Mohammed Shariful
- Jalali Amir
- Javidnia Javad
- Jayatilleke Achala Upendra
- Jenabi Ensiyeh
- Ji John S.
- Jobanputra Yash B.
- Johnson Kimberly
- Jonas Jost B.
- Jose Bruno Piassi Sao
- Jozwiak Jacek Jerzy
- Jürisson Mikk
- Kabir Ali
- Kahsay Amaha
- Kalani Hamed
- Kalhor Rohollah
- Karami Manoochehr
- Karki Surendra
- Kasaeian Amir
- Kassebaum Nicholas J.
- Keiyoro Peter Njenga
- Kemp Grant Rodgers
- Khabiri Roghayeh
- Khader Yousef Saleh
- Khafaie Morteza Abdullatif
- Khan Ejaz Ahmad
- Khan Junaid
- Khan Muhammad Shahzeb
- Khang Young-Ho
- Khatab Khaled
- Khater Amir
- Khater Mona M.
- Khatony Alireza
- Khazaei Mohammad
- Khazaei Salman
- Khazaei-Pool Maryam
- Khubchandani Jagdish
- Kianipour Neda
- Kim Yun Jin
- Kimokoti Ruth W.
- Kinyoki Damaris K.
- Kisa Adnan
- Kisa Sezer
- Kolola Tufa
- Kosen Soewarta
- Koul Parvaiz A.
- Koyanagi Ai
- Kraemer Moritz U. G.
- Krishan Kewal
- Krohn Kris J.
- Kugbey Nuworza
- Kumar G. Anil
- Kumar Manasi
- Kumar Pushpendra
- Kuupiel Desmond
- Lacey Ben
- Lad Sheetal D.
- Lami Faris Hasan
- Larsson Anders O.
- Lebni Javad Yoosefi
- Lee Paul H.
- Leili Mostafa
- Levine Aubrey J.
- Li Shanshan
- Lim Lee-Ling
- Listl Stefan
- Longbottom Joshua
- Lopez Jaifred Christian F.
- Lorkowski Stefan
- Magdeldin Sameh
- Majeed Azeem
- Maleki Afshin
- Malekzadeh Reza
- Malta Deborah Carvalho
- Mamun Abdullah A.
- Manafi Navid
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- Weldesamuel Girmay Teklay
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- Wiysonge Charles Shey
- Wondafrash Dawit Zewdu
- Woyczynski Lauren
- Wu Ai-Min
- Xu Gelin
- Yadegar Abbas
- Yamada Tomohide
- Yazdi-Feyzabadi Vahid
- Yilgwan Christopher Sabo
- Yip Paul
- Yonemoto Naohiro
- Younis Mustafa Z.
- Yousefifard Mahmoud
- Yousof Hebat-Allah Salah A.
- Yu Chuanhua
- Yusefzadeh Hasan
- Zabeh Erfan
- Zahabi Saleh Salehi
- Zamani Mohammad
- Zandian Hamed
- Zangeneh Alireza
- Zerfu Taddese Alemu
- Zhang Yunquan
- Ziapour Arash
- Zodpey Sanjay
- Publication venue
- Nature Publishing
- Publication date
- 01/01/2019
- Field of study
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations
Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
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- Publication date
- Field of study
Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017
- Author
- A Mahesh P.
- Abdelalim Ahmed
- Abdeldayem Amer Yasser Sami
- Abdoli Amir
- Abdollahpour Ibrahim
- Abdulkader Rizwan Suliankatchi
- Abedi Aidin
- Abosetugn Akine Eshete
- Abushouk Abdelrahman I.
- Adebayo Oladimeji M.
- Adema Bereket Duko
- Agudelo-Botero Marcela
- Ahmad Tauseef
- Ahmed Muktar Beshir
- Ahmed Rushdia
- Al-Hajj Samar
- Alahdab Fares
- Alamene Genet Melak
- Alanezi Fahad Mashhour
- Alebel Animut
- Alema Niguse Meles
- Alghnam Suliman A.
- Ali Beriwan Abdulqadir
- Ali Saqib
- Alikhani Mahtab
- Alinia Cyrus
- Alipour Vahid
- Aljunid Syed Mohamed
- Almasi-Hashiani Amir
- Almasri Nihad A.
- Altirkawi Khalid
- Amini Saeed
- Andrei Catalina Liliana
- Angga Pribadi Dimas Ria
- Anggraini Ningrum Dina Nur
- Ansari-Moghaddam Alireza
- Arab-Zozani Morteza
- Arabloo Jalal
- Arefi Zohreh
- Aremu Olatunde
- Ariani Filippo
- Arora Amit
- Asaad Malke
- Asante Kwaku Oppong
- Asghari Babak
- awiyyah Babale
- Awoke Nefsu
- Ayala Quintanilla Beatriz Paulina
- Ayano Getinet
- Ayanore Martin Amogre
- Azari Samad
- Azarian Ghasem
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- Badiye Ashish D.
- Bagli Eleni
- Baig Atif Amin
- Bairwa Mohan
- Bakhtiari Ahad
- Balachandran Arun
- Bali Ahmed Omar
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- Barker-Collo Suzanne Lyn
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- Bedi Neeraj
- Behzadifar Masoud
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- Berhe Kidanemaryam
- Bhardwaj Pankaj
- Bhat Anusha Ganapati
- Bhattacharyya Krittika
- Bibi Sadia
- Bicer Burcu Kucuk
- Bidgoli Hassan Haghparast
- Bijani Ali
- Bin Sayeed Muhammad Shahdaat
- Borges Guilherme
- Borzì Antonio Maria
- Boufous Soufiane
- Brazinova Alexandra
- Briko Nikolay Ivanovich
- Budhathoki Shyam S.
- Bärnighausen Till Winfried
- Car Josip
- Car Lorainne Tudor
- Carvalho Félix
- Castaldelli-Maia João Mauricio
- Castañeda-Orjuela Carlos A.
- Castelpietra Giulio
- Castle Chris D.
- Catalá-López Ferrán
- Cerin Ester
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- Elemineh Demelash Abewa
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- Endalew Daniel Adane
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- Faris Pawan Sirwan
- Faro Andre
- Farzadfar Farshad
- Fatahi Yousef
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- Safarpour Hamid
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- Sajadi S. Mohammad
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- Shamsizadeh Morteza
- Sharif-Alhoseini Mahdi
- Sharifi Hamid
- Shariful Islam Sheikh Mohammed
- Sheikh Aziz
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- Shin Jae Il
- Shiri Rahman
- Siabani Soraya
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- Tekle Merhawi Gebremedhin
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- Tesema Ayenew Kassie
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- Vecchia Carlo La
- Velásquez Ilais Moreno
- Venketasubramanian Narayanaswamy
- Violante Francesco S.
- Vlassov Vasily
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- Waheed Yasir
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- Wondafrash Dawit Zewdu
- Wondmeneh Temesgen Gebeyehu
- Wondmieneh Adam Belay
- Wu Ai-Min
- Yadav Rajaram
- Yadollahpour Ali
- Yano Yuichiro
- Yaw Appiah Seth Christopher
- Yaya Sanni
- Yazdi-Feyzabadi Vahid
- Yip Paul
- Yisma Engida
- Yonemoto Naohiro
- Yoon Seok-Jun
- Youm Yoosik
- Younis Mustafa Z.
- Yousefi Zabihollah
- Yu Chuanhua
- Yu Yong
- Yusefzadeh Hasan
- Zahabi Saleh Salehi
- Zaidi Zoubida
- Zaman Sojib Bin
- Zamani Mohammad
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- Zhang Zhi-Jiang
- Zodpey Sanjay
- Publication venue
- Publication date
- 06/12/2019
- Field of study
Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe
Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017
- Author
- Abbasalizad-Farhangi Mahdieh
- Abbasi Masoumeh
- Abbastabar Hedayat
- Abdelalim Ahmed
- Abdoli Amir
- Abdollahi Mohammad
- Abdollahpour Ibrahim
- Abdulkader Rizwan Suliankatchi
- Abebe Nebiyu Dereje
- Abebo Teshome Abuka
- Abegaz Kedir Hussein
- Abolhassani Hassan
- Abreu Lucas Guimarães
- Abrigo Michael R. M.
- Abushouk Abdelrahman I.
- Accrombessi Manfred Mario Kokou
- Acharya Dilaram
- Adabi Maryam
- Adebiyi Akindele Olupelumi
- Adedeji Isaac Akinkunmi
- Adekanmbi Victor
- Adema Bereket Duko
- Adeoye Abiodun Moshood
- Adetokunboh Olatunji O.
- Adham Davoud
- Aduroja Posi Emmanuel
- Advani Shailesh M.
- Afarideh Mohsen
- Afshin Ashkan
- Aghaali Mohammad
- Agrawal Anurag
- Ahmad Tauseef
- Ahmadi Keivan
- Ahmadi Sepideh
- Ahmed Muktar Beshir
- Ahmed Rushdia
- Ajumobi Olufemi
- Akal Chalachew Genet
- Akalu Temesgen Yihunie
- Akinyemiju Tomi
- Akombi Blessing
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- Mahotra Narayan Bahadur
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- Masaka Anthony
- Massenburg Benjamin Ballard
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- Mekonnen Fantahun Ayenew
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- Mustafa Ghulam
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- Negoi Ionut
- Negoi Ruxandra Irina
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- Ngunjiri Josephine W.
- Nguyen Cuong Tat
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- Ningrum Dina Nur Anggraini
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- Ofori-Asenso Richard
- Oghenetega Onome Bright
- Oh In-Hwan
- Oladimeji Olanrewaju
- Oladnabi Morteza
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- Oluwasanu Mojisola Morenike
- Omer Muktar Omer
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- Patel Sangram Kishor
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- Shaikh Masood Ali
- Shalash Ali S.
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- Shehata Hatem Samir
- Sheikhtaheri Abbas
- Shibuya Kenji
- Shiferaw Wondimeneh Shibabaw
- Shigematsu Mika
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- Starodubova Antonina
- Sudaryanto Agus
- Sufiyan Mu’awiyyah Babale
- Suleria Hafiz Ansar Rasul
- Sulo Gerhard
- Sunguya Bruno F.
- Syed Zahiruddin Quazi
- Sykes Bryan L.
- Tabarés-Seisdedos Rafael
- Tabuchi Takahiro
- Tadesse Birkneh Tilahun
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- Taveira Nuno
- Teklehaimanot Berhane Fseha
- Tekulu Gebretsadkan Hintsa
- Temsah Mohamad-Hani
- Terkawi Abdullah Sulieman
- Tessema Zemenu Tadesse
- Thomas Nihal
- Titova Mariya Vladimirovna
- Tlaye Kenean Getaneh
- Tohidinik Hamid Reza
- Tonelli Marcello
- Toroudi Hamidreza Pazoki
- Tovani-Palone Marcos Roberto
- Traini Eugenio
- Tran Khanh Bao
- Tripathi Manjari
- Uddin Riaz
- Ullah Irfan
- Unnikrishnan Bhaskaran
- Upadhyay Era
- Useh Ushotanefe
- Usman Muhammad Shariq
- Uthman Olalekan A.
- Vacante Marco
- Vaezghasemi Masoud
- Valdez Pascual R.
- VanderHeide John
- Varavikova Elena
- Varughese Santosh
- Vasankari Tommi Juhani
- Vasseghian Yasser
- Vecchia Carlo La
- Veisani Yousef
- Venkatesh Srinivasaraghavan
- Venketasubramanian Narayanaswamy
- Verma Madhur
- Vidale Simone
- Violante Francesco S.
- Vlassov Vasily
- Vollmer Sebastian
- Vukovic Rade
- Waheed Yasir
- Wang Haidong
- Wang Yafeng
- Wang Yuan-Pang
- Weldesamuel Girmay Teklay
- Werdecker Andrea
- Wiangkham Taweewat
- Wiens Kirsten E.
- Wijeratne Tissa
- Wolde Haileab Fekadu
- Wondafrash Dawit Zewdu
- Wonde Tewodros Eshete
- Wondmieneh Adam Belay
- Wu Ai-Min
- Xu Gelin
- Yadegar Abbas
- Yadollahpour Ali
- Yamada Tomohide
- Yano Yuichiro
- Yaya Sanni
- Yazdi-Feyzabadi Vahid
- Yeshaneh Alex
- Yeshaw Yigizie
- Yeshitila Yordanos Gizachew
- Yilma Mekdes Tigistu
- Yip Paul
- Yonemoto Naohiro
- Yoon Seok-Jun
- Youm Yoosik
- Younis Mustafa Z.
- Yousefi Zabihollah
- Yousof Hebat-Allah Salah A.
- Yu Chuanhua
- Yusefzadeh Hasan
- Zahabi Saleh Salehi
- Zaki Leila
- Zaman Sojib Bin
- Zamani Mohammad
- Zamanian Maryam
- Zandian Hamed
- Zarafshan Hadi
- Zepro Nejimu Biza
- Zerfu Taddese Alemu
- Zewale Taye Abuhay
- Zhang Yunquan
- Zhang Zhi-Jiang
- Zhao Xiu-Ju
- Zodpey Sanjay
- Zomorodian Kamiar
- Zotor Francis Bruno
- Ärnlöv Johan
- Publication venue
- Nature Research
- Publication date
- 01/01/2020
- Field of study
A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic
The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019
- Author
- Aali Amirali
- Abbas Qamar
- Abbasi Behzad
- Abbasi-Kangevari Mohsen
- Abbasi-Kangevari Zeinab
- Abbastabar Hedayat
- Abd-Elsalam Sherief
- Abdelmasseh Michael
- Abdelwahab Ahmed Abdelwahab
- Abdoli Gholamreza
- Abdulkader Rizwan Suliankatchi
- Abdulkadir Hanan Abdulkadir
- Abedi Aidin
- Abegaz Kedir Hussein
- Abidi Hassan
- Aboagye Richard Gyan
- Abolhassani Hassan
- Absalan Abdorrahim
- Abtew Yonas Derso
- Abu-Gharbieh Eman
- Achappa Basavaprabhu
- Acheson Alistair R
- Acuna Juan Manuel
- Addison Daniel
- Addo Isaac Yeboah
- Adegboye Oyelola A
- Adesina Miracle Ayomikun
- Adnan Mohammad
- Adnani Qorinah Estiningtyas Sakilah
- Advani Shailesh M
- Afrin Sumia
- Afzal Muhammad Sohail
- Aggarwal Manik
- Ahinkorah Bright Opoku
- Ahmad Araz Ramazan
- Ahmad Rizwan
- Ahmad Sajjad
- Ahmad Sohail
- Ahmadi Sepideh
- Ahmed Haroon
- Ahmed Luai A
- Ahmed Muktar Beshir
- Aiman Wajeeha
- Ajami Marjan
- Akalu Gizachew Taddesse
- Akbarzadeh-Khiavi Mostafa
- Aklilu Addis
- Akonde Maxwell
- Akunna Chisom Joyqueenet
- Al-Hanawi Mohammed Khaled
- Al-Maweri Sadeq Ali Ali
- Al-Raddadi Rajaa M
- Al-Rifai Rami H Hani
- Al-Sabah Salman Khalifah
- Al-Tammemi Ala'a B
- Alahdab Fares
- Alanezi Fahad Mashhour
- Alanzi Turki M
- Alessy Saleh Ali
- Algammal Abdelazeem M
- Alhassan Robert Kaba
- Ali Adel Hajj
- Ali Beriwan Abdulqadir
- Ali Hiwa Abubaker
- Ali Liaqat
- Ali Syed Shujait
- Alimohamadi Yousef
- Alipour Vahid
- Aljunid Syed Mohamed
- Alkhayyat Motasem
- Almustanyir Sami
- Alonso Nivaldo
- Alqalyoobi Shehabaldin
- Altawalah Haya
- Alvis-Guzman Nelson
- Amare Firehiwot
- Ameyaw Edward Kwabena
- Amirzade-Iranaq Mohammad Hosein
- Amu Hubert
- Amusa Ganiyu Adeniyi
- Ancuceanu Robert
- Anderson Jason A
- Animut Yaregal Animut
- Anoushiravani Amir
- Anoushirvani Ali Arash
- Ansari-Moghaddam Alireza
- Ansha Mustafa Geleto
- Antony Benny
- Antwi Maxwell Hubert
- Anwar Sumadi Lukman
- Anwer Razique
- Anyasodor Anayochukwu Edward
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- Vladimirov Sergey Konstantinovitch
- Vlassov Vasily
- Vo Bay
- Vos Theo
- Vu Linh Gia
- Wadood Abdul Wadood
- Waheed Yasir
- Walde Mandaras Tariku
- Wamai Richard G
- Wang Cong
- Wang Fang
- Wang Ning
- Wang Yu
- Ward Paul
- Waris Abdul
- Westerman Ronny
- Wickramasinghe Nuwan Darshana
- Woldemariam Melat
- Woldu Berhanu
- Xiao Hong
- Xu Rixing
- Xu Suowen
- Xu Xiaoyue
- Yadav Lalit
- Yang Lin
- Yazdanpanah Fereshteh
- Yeshaw Yigizie
- Yismaw Yazachew
- Yonemoto Naohiro
- Younis Mustafa Z
- Yousefi Zabihollah
- Yousefian Fatemeh
- Yu Chuanhua
- Yu Yong
- Yunusa Ismaeel
- Zahir Mazyar
- Zaki Nazar
- Zaman Burhan Abdullah
- Zangiabadian Moein
- Zare Fariba
- Zare Iman
- Zareshahrabadi Zahra
- Zarrintan Armin
- Zastrozhin Mikhail Sergeevich
- Zeineddine Mohammad A
- Zhang Dongyu
- Zhang Jianrong
- Zhang Yunquan
- Zhang Zhi-Jiang
- Zhou Linghui
- Zodpey Sanjay
- Zoladl Mohammad
- Šekerija Mario
- Publication venue
- Publication date
- 01/01/2022
- Field of study
Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe
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- Publication date
- 12/10/2021
- Field of study
Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations