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@article{Kinyoki:2021:10.1038/s41591-021-01498-0,
author = {Kinyoki, D and Osgood-Zimmerman, AE and Bhattacharjee, NV and Schaeffer, LE and Lazzar-Atwood, A and Lu, D and Ewald, SB and Donkers, KM and Letourneau, ID and Collison, M and Schipp, MF and Abajobir, A and Abbasi, S and Abbasi, N and Abbasifard, M and Abbasi-Kangevari, M and Abbastabar, H and Abd-Allah, F and Abdelalim, A and Abd-Elsalam, SM and Abdoli, A and Abdollahpour, I and Abedi, A and Abolhassani, H and Abraham, B and Abreu, LG and Abrigo, MRM and Abualhasan, A and Abu-Gharbieh, E and Abushouk, AI and Accrombessi, MMK and Adabi, M and Adebayo, OM and Adegbosin, AE and Adekanmbi, V and Adetokunboh, OO and Adeyinka, DA and Adham, D and Advani, SM and Agasthi, P and Aghaali, M and Ahmad, S and Ahmad, T and Ahmadi, K and Ahmadi, S and Ahmed, MB and Aichour, MTE and Aji, B and Akinyemi, OO and Aklilu, A and Akunna, CJ and Al-Aly, Z and Alanzi, TM and Alcalde-Rabanal, JE and Alemu, BW and Alemu, A and Alhassan, RK and Alif, SM and Alipour, V and Alizade, H and Aljunid, SM and Almasi-},
doi = {10.1038/s41591-021-01498-0},
journal = {Nature Medicine},
pages = {1761--1782},
title = {Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018},
url = {http://dx.doi.org/10.1038/s41591-021-01498-0},
volume = {27},
year = {2021}
}

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TY  - JOUR
AB  - 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.
AU  - Kinyoki,D
AU  - Osgood-Zimmerman,AE
AU  - Bhattacharjee,NV
AU  - Schaeffer,LE
AU  - Lazzar-Atwood,A
AU  - Lu,D
AU  - Ewald,SB
AU  - Donkers,KM
AU  - Letourneau,ID
AU  - Collison,M
AU  - Schipp,MF
AU  - Abajobir,A
AU  - Abbasi,S
AU  - Abbasi,N
AU  - Abbasifard,M
AU  - Abbasi-Kangevari,M
AU  - Abbastabar,H
AU  - Abd-Allah,F
AU  - Abdelalim,A
AU  - Abd-Elsalam,SM
AU  - Abdoli,A
AU  - Abdollahpour,I
AU  - Abedi,A
AU  - Abolhassani,H
AU  - Abraham,B
AU  - Abreu,LG
AU  - Abrigo,MRM
AU  - Abualhasan,A
AU  - Abu-Gharbieh,E
AU  - Abushouk,AI
AU  - Accrombessi,MMK
AU  - Adabi,M
AU  - Adebayo,OM
AU  - Adegbosin,AE
AU  - Adekanmbi,V
AU  - Adetokunboh,OO
AU  - Adeyinka,DA
AU  - Adham,D
AU  - Advani,SM
AU  - Agasthi,P
AU  - Aghaali,M
AU  - Ahmad,S
AU  - Ahmad,T
AU  - Ahmadi,K
AU  - Ahmadi,S
AU  - Ahmed,MB
AU  - Aichour,MTE
AU  - Aji,B
AU  - Akinyemi,OO
AU  - Aklilu,A
AU  - Akunna,CJ
AU  - Al-Aly,Z
AU  - Alanzi,TM
AU  - Alcalde-Rabanal,JE
AU  - Alemu,BW
AU  - Alemu,A
AU  - Alhassan,RK
AU  - Alif,SM
AU  - Alipour,V
AU  - Alizade,H
AU  - Aljunid,SM
AU  - Almasi-Hashiani,A
AU  - Al-Mekhlafi,HM
AU  - Al-Raddadi,RM
AU  - Alvis-Guzman,N
AU  - Amini,S
AU  - Amiri,F
AU  - Amugsi,DA
AU  - Anber,NH
AU  - Ancuceanu,R
AU  - Andrei,T
AU  - Anegago,MT
AU  - Anjomshoa,M
AU  - Ansari,F
AU  - Ansari-Moghaddam,A
AU  - Anteneh,ZA
AU  - Antriyandarti,E
AU  - Anvari,D
AU  - Anwer,R
AU  - Aqeel,M
AU  - Arabloo,J
AU  - Arab-Zozani,M
AU  - Aremu,O
AU  - Areri,HA
AU  - Artaman,A
AU  - Arzani,A
AU  - Asaad,M
AU  - Asadi-Aliabadi,M
AU  - Asadi-Pooya,AA
AU  - Asemahagn,MA
AU  - Asghari,Jafarabadi M
AU  - Ashebir,MM
AU  - Ataro,Z
AU  - Athari,SM
AU  - Athari,SS
AU  - Atout,MMW
AU  - Ausloos,M
AU  - Awoke,N
AU  - Ayala,Quintanilla BP
AU  - Ayano,G
AU  - Ayanore,MA
AU  - Aynalem,YA
AU  - Ayza,MA
AU  - Azadmehr,A B D
AU  - Babalola,TK
AU  - Badawi,A
AU  - Badiye,AD
AU  - Bahrami,MA
AU  - Bairwa,M
AU  - Bakkannavar,SM
AU  - Banik,PC
AU  - Baraki,AG
AU  - Barboza,MA
AU  - Basaleem,H
AU  - Basu,S
AU  - Bayati,M
AU  - Baye,BA
AU  - Bazmandegan,G
AU  - Bedi,N
AU  - Bekuma,TTT
AU  - Bell,ML
AU  - Bensenor,IM
AU  - Berhe,K
AU  - Berhe,AK
AU  - Berhie,KA
AU  - Bhandari,D
AU  - Bhardwaj,N
AU  - Bhardwaj,P
AU  - Bhattacharyya,K
AU  - Bhattarai,S
AU  - Bhutta,ZA
AU  - Bijani,A
AU  - Bikbov,B
AU  - Biondi,A
AU  - Birhanu,M
AU  - Biswas,RK
AU  - Bockarie,MJ
AU  - Bohlouli,S
AU  - Bohluli,M
AU  - Boloor,A
AU  - Borzouei,S
AU  - Bragazzi,NL
AU  - Braithwaite,D
AU  - Brunoni,AR
AU  - Burugina,Nagaraja S
AU  - Butt,ZA
AU  - Caetano,dos Santos FL
AU  - Cámera,LA
AU  - Car,J
AU  - Cárdenas,R
AU  - Carvalho,F
AU  - Castaldelli-Maia,JM
AU  - Castañeda-Orjuela,CA
AU  - Castro,F
AU  - Cevik,M
AU  - Chanie,WF
AU  - Charan,J
AU  - Chatterjee,S
AU  - Chattu,VK
AU  - Chaturvedi,S
AU  - Chen,S
AU  - Chin,KL
AU  - Chowdhury,MAK
AU  - Cook
DO  - 10.1038/s41591-021-01498-0
EP  - 1782
PY  - 2021///
SN  - 1078-8956
SP  - 1761
TI  - Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
T2  - Nature Medicine
UR  - http://dx.doi.org/10.1038/s41591-021-01498-0
UR  - http://hdl.handle.net/10044/1/92668
VL  - 27
ER  -

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