Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016
<h4>Background</h4> <p>Lower respiratory infections are a leading cause of morbidity and mortality around the world. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016, provides an up-to-date analysis of the burden of lower respiratory infections in 195 cou...
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Formato: | Journal article |
Publicado em: |
Elsevier
2018
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_version_ | 1826298200093360128 |
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author | Troeger, C Blacker, BF Khalil, IA Rao, PC Cao, S Zimsen, SRM Albertson, S Stanaway, JD Deshpande, A Farag, T Forouzanfar, MH Abebe, Z Adetifa, IMO Adhikari, TB Akibu, M Lami, FH Al-Eyadhy, A Alvis-Guzman, N Amare, AT Amoako, YA Antonio, CAT Aremu, O Asfaw, ET Asgedom, SW Atey, TM Attia, EF Avokpaho, EFGA Ayele, HT Ayuk, TB Balakrishnan, K Barac, A Bassat, Q Behzadifar, M Behzadifar, M Bhaumik, S Bhutta, ZA Bijani, A Brauer, M Brown, A Camargos, PAM Castaneda-Orjuela, CA Colombara, D Conti, S Dadi, AF Dandona, L Dandona, R Do, HP Dubljanin, E Edessa, D Elkout, H Endries, AY Fijabi, DO Foreman, KJ Fullman, N Garcia-Basteiro, AL Gessner, BD Gething, PW Gupta, R Gupta, T Hailu, GB Hassen, HY Hedayati, MT Heidari, M Hibstu, DT Horita, N Ilesanmi, OS Jakovljevic, MB Jamal, AA Kahsay, A Kasaeian, A Kassa, DH Khader, YS Khan, EA Khan, MN Khang, Y-H Kim, YJ Kissoon, N Knibbs, LD Kochhar, S Koul, PA Kumar, GA Lodha, R Razek, HM Malta, DC Mathew, JL Mengistu, DT Mezgebe, HB Mohammad, KA Mohammed, AM Momeniha, F Murthy, S Nguyen, CT Nielsen, KR Ningrum, DNA Nirayo, YL Oren, E Ortiz, JR Mahesh, PA Postma, MJ Qorbani, M Quansah, R Rai, RK Rana, SM Ranabhat, CL Ray, SE Rezai, MS Ruhago, GM Safiri, S Salomon, JA Sartorius, B Savic, M Sawhney, M She, J Sheikh, A Shiferaw, MS Shigematsu, M Singh, JA Somayaji, R Sufiyan, MB Taffere, GR Temsah, M-H Thompson, MJ Tobe-Gai, R Topor-Madry, R Tran, BX Tran, TT Tuem, KB Ukwaja, KN Vollset, SE Walson, JL Weldegebreal, F Werdecker, A West, TE Yonemoto, N Zaki, MES Zhou, L Zodpey, S Vos, T Lim, SS Naghavi, M Murray, CJL Mokdad, AH Hay, SI Jr, RRC Infecti, GBDLR |
author_facet | Troeger, C Blacker, BF Khalil, IA Rao, PC Cao, S Zimsen, SRM Albertson, S Stanaway, JD Deshpande, A Farag, T Forouzanfar, MH Abebe, Z Adetifa, IMO Adhikari, TB Akibu, M Lami, FH Al-Eyadhy, A Alvis-Guzman, N Amare, AT Amoako, YA Antonio, CAT Aremu, O Asfaw, ET Asgedom, SW Atey, TM Attia, EF Avokpaho, EFGA Ayele, HT Ayuk, TB Balakrishnan, K Barac, A Bassat, Q Behzadifar, M Behzadifar, M Bhaumik, S Bhutta, ZA Bijani, A Brauer, M Brown, A Camargos, PAM Castaneda-Orjuela, CA Colombara, D Conti, S Dadi, AF Dandona, L Dandona, R Do, HP Dubljanin, E Edessa, D Elkout, H Endries, AY Fijabi, DO Foreman, KJ Fullman, N Garcia-Basteiro, AL Gessner, BD Gething, PW Gupta, R Gupta, T Hailu, GB Hassen, HY Hedayati, MT Heidari, M Hibstu, DT Horita, N Ilesanmi, OS Jakovljevic, MB Jamal, AA Kahsay, A Kasaeian, A Kassa, DH Khader, YS Khan, EA Khan, MN Khang, Y-H Kim, YJ Kissoon, N Knibbs, LD Kochhar, S Koul, PA Kumar, GA Lodha, R Razek, HM Malta, DC Mathew, JL Mengistu, DT Mezgebe, HB Mohammad, KA Mohammed, AM Momeniha, F Murthy, S Nguyen, CT Nielsen, KR Ningrum, DNA Nirayo, YL Oren, E Ortiz, JR Mahesh, PA Postma, MJ Qorbani, M Quansah, R Rai, RK Rana, SM Ranabhat, CL Ray, SE Rezai, MS Ruhago, GM Safiri, S Salomon, JA Sartorius, B Savic, M Sawhney, M She, J Sheikh, A Shiferaw, MS Shigematsu, M Singh, JA Somayaji, R Sufiyan, MB Taffere, GR Temsah, M-H Thompson, MJ Tobe-Gai, R Topor-Madry, R Tran, BX Tran, TT Tuem, KB Ukwaja, KN Vollset, SE Walson, JL Weldegebreal, F Werdecker, A West, TE Yonemoto, N Zaki, MES Zhou, L Zodpey, S Vos, T Lim, SS Naghavi, M Murray, CJL Mokdad, AH Hay, SI Jr, RRC Infecti, GBDLR |
author_sort | Troeger, C |
collection | OXFORD |
description | <h4>Background</h4> <p>Lower respiratory infections are a leading cause of morbidity and mortality around the world. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016, provides an up-to-date analysis of the burden of lower respiratory infections in 195 countries. This study assesses cases, deaths, and aetiologies spanning the past 26 years and shows how the burden of lower respiratory infection has changed in people of all ages.</p> <h4>Methods</h4> <p>We used three separate modelling strategies for lower respiratory infections in GBD 2016: a Bayesian hierarchical ensemble modelling platform (Cause of Death Ensemble model), which uses vital registration, verbal autopsy data, and surveillance system data to predict mortality due to lower respiratory infections; a compartmental meta-regression tool (DisMod-MR), which uses scientific literature, population representative surveys, and healthcare data to predict incidence, prevalence, and mortality; and modelling of counterfactual estimates of the population attributable fraction of lower respiratory infection episodes due to Streptococcus pneumoniae, Haemophilus influenzae type b, influenza, and respiratory syncytial virus. We calculated each modelled estimate for each age, sex, year, and location. We modelled the exposure level in a population for a given risk factor using DisMod-MR and a spatiotemporal Gaussian process regression, and assessed the effectiveness of targeted interventions for each risk factor in children younger than 5 years. We also did a decomposition analysis of the change in LRI deaths from 2000–16 using the risk factors associated with LRI in GBD 2016.</p> <h4>Findings</h4> <p>In 2016, lower respiratory infections caused 652 572 deaths (95% uncertainty interval [UI] 586 475–720 612) in children younger than 5 years (under-5s), 1 080 958 deaths (943 749–1 170 638) in adults older than 70 years, and 2 377 697 deaths (2 145 584–2 512 809) in people of all ages, worldwide. Streptococcus pneumoniae was the leading cause of lower respiratory infection morbidity and mortality globally, contributing to more deaths than all other aetiologies combined in 2016 (1 189 937 deaths, 95% UI 690 445–1 770 660). Childhood wasting remains the leading risk factor for lower respiratory infection mortality among children younger than 5 years, responsible for 61·4% of lower respiratory infection deaths in 2016 (95% UI 45·7–69·6). Interventions to improve wasting, household air pollution, ambient particulate matter pollution, and expanded antibiotic use could avert one under-5 death due to lower respiratory infection for every 4000 children treated in the countries with the highest lower respiratory infection burden.</p> <h4>Interpretation</h4> <p>Our findings show substantial progress in the reduction of lower respiratory infection burden, but this progress has not been equal across locations, has been driven by decreases in several primary risk factors, and might require more effort among elderly adults. By highlighting regions and populations with the highest burden, and the risk factors that could have the greatest effect, funders, policy makers, and programme implementers can more effectively reduce lower respiratory infections among the world’s most susceptible populations.</p> |
first_indexed | 2024-03-07T04:43:14Z |
format | Journal article |
id | oxford-uuid:d25cb79a-4ac6-4bc6-a11d-3f27c2179d67 |
institution | University of Oxford |
last_indexed | 2024-03-07T04:43:14Z |
publishDate | 2018 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:d25cb79a-4ac6-4bc6-a11d-3f27c2179d672022-03-27T08:04:02ZEstimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d25cb79a-4ac6-4bc6-a11d-3f27c2179d67Symplectic Elements at OxfordElsevier2018Troeger, CBlacker, BFKhalil, IARao, PCCao, SZimsen, SRMAlbertson, SStanaway, JDDeshpande, AFarag, TForouzanfar, MHAbebe, ZAdetifa, IMOAdhikari, TBAkibu, MLami, FHAl-Eyadhy, AAlvis-Guzman, NAmare, ATAmoako, YAAntonio, CATAremu, OAsfaw, ETAsgedom, SWAtey, TMAttia, EFAvokpaho, EFGAAyele, HTAyuk, TBBalakrishnan, KBarac, ABassat, QBehzadifar, MBehzadifar, MBhaumik, SBhutta, ZABijani, ABrauer, MBrown, ACamargos, PAMCastaneda-Orjuela, CAColombara, DConti, SDadi, AFDandona, LDandona, RDo, HPDubljanin, EEdessa, DElkout, HEndries, AYFijabi, DOForeman, KJFullman, NGarcia-Basteiro, ALGessner, BDGething, PWGupta, RGupta, THailu, GBHassen, HYHedayati, MTHeidari, MHibstu, DTHorita, NIlesanmi, OSJakovljevic, MBJamal, AAKahsay, AKasaeian, AKassa, DHKhader, YSKhan, EAKhan, MNKhang, Y-HKim, YJKissoon, NKnibbs, LDKochhar, SKoul, PAKumar, GALodha, RRazek, HMMalta, DCMathew, JLMengistu, DTMezgebe, HBMohammad, KAMohammed, AMMomeniha, FMurthy, SNguyen, CTNielsen, KRNingrum, DNANirayo, YLOren, EOrtiz, JRMahesh, PAPostma, MJQorbani, MQuansah, RRai, RKRana, SMRanabhat, CLRay, SERezai, MSRuhago, GMSafiri, SSalomon, JASartorius, BSavic, MSawhney, MShe, JSheikh, AShiferaw, MSShigematsu, MSingh, JASomayaji, RSufiyan, MBTaffere, GRTemsah, M-HThompson, MJTobe-Gai, RTopor-Madry, RTran, BXTran, TTTuem, KBUkwaja, KNVollset, SEWalson, JLWeldegebreal, FWerdecker, AWest, TEYonemoto, NZaki, MESZhou, LZodpey, SVos, TLim, SSNaghavi, MMurray, CJLMokdad, AHHay, SIJr, RRCInfecti, GBDLR <h4>Background</h4> <p>Lower respiratory infections are a leading cause of morbidity and mortality around the world. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016, provides an up-to-date analysis of the burden of lower respiratory infections in 195 countries. This study assesses cases, deaths, and aetiologies spanning the past 26 years and shows how the burden of lower respiratory infection has changed in people of all ages.</p> <h4>Methods</h4> <p>We used three separate modelling strategies for lower respiratory infections in GBD 2016: a Bayesian hierarchical ensemble modelling platform (Cause of Death Ensemble model), which uses vital registration, verbal autopsy data, and surveillance system data to predict mortality due to lower respiratory infections; a compartmental meta-regression tool (DisMod-MR), which uses scientific literature, population representative surveys, and healthcare data to predict incidence, prevalence, and mortality; and modelling of counterfactual estimates of the population attributable fraction of lower respiratory infection episodes due to Streptococcus pneumoniae, Haemophilus influenzae type b, influenza, and respiratory syncytial virus. We calculated each modelled estimate for each age, sex, year, and location. We modelled the exposure level in a population for a given risk factor using DisMod-MR and a spatiotemporal Gaussian process regression, and assessed the effectiveness of targeted interventions for each risk factor in children younger than 5 years. We also did a decomposition analysis of the change in LRI deaths from 2000–16 using the risk factors associated with LRI in GBD 2016.</p> <h4>Findings</h4> <p>In 2016, lower respiratory infections caused 652 572 deaths (95% uncertainty interval [UI] 586 475–720 612) in children younger than 5 years (under-5s), 1 080 958 deaths (943 749–1 170 638) in adults older than 70 years, and 2 377 697 deaths (2 145 584–2 512 809) in people of all ages, worldwide. Streptococcus pneumoniae was the leading cause of lower respiratory infection morbidity and mortality globally, contributing to more deaths than all other aetiologies combined in 2016 (1 189 937 deaths, 95% UI 690 445–1 770 660). Childhood wasting remains the leading risk factor for lower respiratory infection mortality among children younger than 5 years, responsible for 61·4% of lower respiratory infection deaths in 2016 (95% UI 45·7–69·6). Interventions to improve wasting, household air pollution, ambient particulate matter pollution, and expanded antibiotic use could avert one under-5 death due to lower respiratory infection for every 4000 children treated in the countries with the highest lower respiratory infection burden.</p> <h4>Interpretation</h4> <p>Our findings show substantial progress in the reduction of lower respiratory infection burden, but this progress has not been equal across locations, has been driven by decreases in several primary risk factors, and might require more effort among elderly adults. By highlighting regions and populations with the highest burden, and the risk factors that could have the greatest effect, funders, policy makers, and programme implementers can more effectively reduce lower respiratory infections among the world’s most susceptible populations.</p> |
spellingShingle | Troeger, C Blacker, BF Khalil, IA Rao, PC Cao, S Zimsen, SRM Albertson, S Stanaway, JD Deshpande, A Farag, T Forouzanfar, MH Abebe, Z Adetifa, IMO Adhikari, TB Akibu, M Lami, FH Al-Eyadhy, A Alvis-Guzman, N Amare, AT Amoako, YA Antonio, CAT Aremu, O Asfaw, ET Asgedom, SW Atey, TM Attia, EF Avokpaho, EFGA Ayele, HT Ayuk, TB Balakrishnan, K Barac, A Bassat, Q Behzadifar, M Behzadifar, M Bhaumik, S Bhutta, ZA Bijani, A Brauer, M Brown, A Camargos, PAM Castaneda-Orjuela, CA Colombara, D Conti, S Dadi, AF Dandona, L Dandona, R Do, HP Dubljanin, E Edessa, D Elkout, H Endries, AY Fijabi, DO Foreman, KJ Fullman, N Garcia-Basteiro, AL Gessner, BD Gething, PW Gupta, R Gupta, T Hailu, GB Hassen, HY Hedayati, MT Heidari, M Hibstu, DT Horita, N Ilesanmi, OS Jakovljevic, MB Jamal, AA Kahsay, A Kasaeian, A Kassa, DH Khader, YS Khan, EA Khan, MN Khang, Y-H Kim, YJ Kissoon, N Knibbs, LD Kochhar, S Koul, PA Kumar, GA Lodha, R Razek, HM Malta, DC Mathew, JL Mengistu, DT Mezgebe, HB Mohammad, KA Mohammed, AM Momeniha, F Murthy, S Nguyen, CT Nielsen, KR Ningrum, DNA Nirayo, YL Oren, E Ortiz, JR Mahesh, PA Postma, MJ Qorbani, M Quansah, R Rai, RK Rana, SM Ranabhat, CL Ray, SE Rezai, MS Ruhago, GM Safiri, S Salomon, JA Sartorius, B Savic, M Sawhney, M She, J Sheikh, A Shiferaw, MS Shigematsu, M Singh, JA Somayaji, R Sufiyan, MB Taffere, GR Temsah, M-H Thompson, MJ Tobe-Gai, R Topor-Madry, R Tran, BX Tran, TT Tuem, KB Ukwaja, KN Vollset, SE Walson, JL Weldegebreal, F Werdecker, A West, TE Yonemoto, N Zaki, MES Zhou, L Zodpey, S Vos, T Lim, SS Naghavi, M Murray, CJL Mokdad, AH Hay, SI Jr, RRC Infecti, GBDLR Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 |
title | Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 |
title_full | Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 |
title_fullStr | Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 |
title_full_unstemmed | Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 |
title_short | Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 |
title_sort | estimates of the global regional and national morbidity mortality and aetiologies of lower respiratory infections in 195 countries 1990 2016 a systematic analysis for the global burden of disease study 2016 |
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estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT hedayatimt estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT heidarim estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT hibstudt estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT horitan estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ilesanmios estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT jakovljevicmb estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT jamalaa estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kahsaya estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kasaeiana estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kassadh estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT khaderys estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT khanea estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT khanmn estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT khangyh estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kimyj estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kissoonn estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT knibbsld estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kochhars estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT koulpa estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT kumarga estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT lodhar estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT razekhm estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT maltadc estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT mathewjl estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT mengistudt estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT mezgebehb estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT mohammadka estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT mohammedam estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT momenihaf estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT murthys estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT nguyenct estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT nielsenkr estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ningrumdna estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT nirayoyl estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT orene estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ortizjr estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT maheshpa estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT postmamj estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT qorbanim estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT quansahr estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT rairk estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ranasm estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ranabhatcl estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT rayse estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT rezaims estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ruhagogm estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT safiris estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT salomonja estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT sartoriusb estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT savicm estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT sawhneym estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT shej estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT sheikha estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT shiferawms estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT shigematsum estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT singhja estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT somayajir estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT sufiyanmb estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT tafferegr estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT temsahmh estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT thompsonmj estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT tobegair estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT topormadryr estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT tranbx estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT trantt estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT tuemkb estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT ukwajakn estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT vollsetse estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT walsonjl estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT weldegebrealf estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT werdeckera estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT westte estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT yonemoton estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT zakimes estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT zhoul estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT zodpeys estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT vost estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT limss estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT naghavim estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT murraycjl estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT mokdadah estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT haysi estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT jrrrc estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 AT infectigbdlr estimatesoftheglobalregionalandnationalmorbiditymortalityandaetiologiesoflowerrespiratoryinfectionsin195countries19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016 |