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Wada FW, Desta AF, Gebre M, Mihret W, Seyoum T, Melaku K, Alemu A, Howe R, Mulu A, Mihret A. Pneumococcal colonization and coinfecting respiratory viruses in children under 5 years in Addis Ababa, Ethiopia: a prospective case-control study. Sci Rep 2024; 14:4174. [PMID: 38378681 PMCID: PMC10879120 DOI: 10.1038/s41598-024-54256-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/10/2024] [Indexed: 02/22/2024] Open
Abstract
A comprehensive understanding of the dynamics of Streptococcus pneumoniae colonization in conjunction with respiratory virus infections is essential for enhancing our knowledge of the pathogenesis and advancing the development of effective preventive strategies. Therefore, a case-control study was carried out in Addis Ababa, Ethiopia to investigate the colonization rate of S. pneumoniae and its coinfection dynamics with respiratory viruses among children under the age of 5 years. Samples from the nasopharyngeal and/or oropharyngeal, along with socio-demographic and clinical information, were collected from 420 children under 5 years old (210 cases with lower respiratory tract infections and 210 controls with conditions other than respiratory infections.). A one-step Multiplex real-time PCR using the Allplex Respiratory Panel Assays 1-4 was performed to identify respiratory viruses and bacteria. Data analysis was conducted using STATA software version 17. The overall colonization rate of S. pneumoniae in children aged less than 5 years was 51.2% (215/420). The colonization rates in cases and controls were 54.8% (115/210) and 47.6% (100/210), respectively (p = 0.14). Colonization rates were observed to commence at an early age in children, with a colonization rate of 48.9% and 52.7% among infants younger than 6 months controls and cases, respectively. The prevalence of AdV (OR, 3.11; 95% CI [1.31-8.19]), RSV B (OR, 2.53; 95% CI [1.01-6.78]) and HRV (OR, 1.7; 95% CI [1.04-2.78]) tends to be higher in children who tested positive for S. pneumoniae compared to those who tested negative for S. pneumoniae. Further longitudinal research is needed to understand and determine interaction mechanisms between pneumococci and viral pathogens and the clinical implications of this coinfection dynamics.
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Affiliation(s)
- Fiseha Wadilo Wada
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia.
- Department of Biomedical Sciences, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
- Department of Medical Laboratory Sciences, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Soddo, Ethiopia.
| | - Adey Feleke Desta
- Department of Biomedical Sciences, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Meseret Gebre
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Wude Mihret
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Tamrayehu Seyoum
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Kalkidan Melaku
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Ashenafi Alemu
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Rawleigh Howe
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Andargachew Mulu
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
| | - Adane Mihret
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
- Department of Microbiology, Immunology, and Parasitology, School of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
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Wada FW, Mekonnen MF, Sawiso ED, Kolato S, Woldegiorgis L, Kera GK, El-Khatib Z, Ashuro AA, Biru M, Boltena MT. Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis. Sci Rep 2023; 13:14655. [PMID: 37670001 PMCID: PMC10480146 DOI: 10.1038/s41598-023-41882-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 09/01/2023] [Indexed: 09/07/2023] Open
Abstract
The number of diabetic foot ulcer patients is substantially increasing, with the rapidly rising burden of diabetic mellitus in sub-Saharan Africa. The data on the regional prevalence of diabetic foot ulcer infecting bacteria and their antimicrobial resistance patterns is crucial for its proper management. This systematic review and meta-analysis determined the pooled prevalence of bacterial profiles and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa. A comprehensive search of the literature was performed on CINAHL, EMBASE, Google Scholar, PubMed, Scopus, and Web of Science databases. Critical appraisal was done using the Joanna Briggs Institute's tool for prevalence studies. A pooled statistical meta-analysis was conducted using STATA Version 17.0. The I2 statistics and Egger's test were used to assess the heterogeneity and publication bias. The pooled prevalence and the corresponding 95% confidence interval of bacterial profiles and their antimicrobial resistance patterns were estimated using a random effect model. Eleven studies with a total of 1174 study participants and 1701 bacteria isolates were included. The pooled prevalence of the most common bacterial isolates obtained from DFU were S. aureus (34.34%), E. coli (21.16%), and P. aeruginosa (20.98%). The highest pooled resistance pattern of S. aureus was towards Gentamicin (57.96%) and Ciprofloxacin (52.45%). E.coli and K. Pneumoniae showed more than a 50% resistance rate for the most common antibiotics tested. Both gram-positive and gram-negative bacteria were associated with diabetic foot ulcers in sub-Saharan Africa. Our findings are important for planning treatment with the appropriate antibiotics in the region. The high antimicrobial resistance prevalence rate indicates the need for context-specific effective strategies aimed at infection prevention and evidence-based alternative therapies.
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Affiliation(s)
- Fiseha Wadilo Wada
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia.
- Department of Medical Laboratory, College of Health Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
- Department of Biomedical Sciences, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
| | | | - Edlawit Desta Sawiso
- Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital (NEMMCSH), Wachemo University, Hossana, Ethiopia
| | - Sitotaw Kolato
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
- Department of Medical Laboratory, College of Health Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia
| | | | | | - Ziad El-Khatib
- World Health Programme, Université du Québec en Abitibi-Témiscamingue, Montreal, QC, Canada
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | | | - Mulatu Biru
- USAID Eliminate TB Project, KNCV, Addis Ababa, Ethiopia
| | - Minyahil Tadesse Boltena
- Armauer Hansen Research Institute, Ministry of Health, Addis Ababa, Ethiopia
- Ethiopian-Evidence Based Health Care Centre: A JBI Center of Excellence, Public Health Faculty, Institute of Health, Jimma University, Jimma, Ethiopia
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Reiner RC, Wiens KE, Deshpande A, Baumann MM, Lindstedt PA, Blacker BF, Troeger CE, Earl L, Munro SB, Abate D, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe G, Abegaz KH, Abreu LG, Abrigo MRM, Accrombessi MMK, Acharya D, Adabi M, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Afarideh M, Ahmadi K, Ahmadi M, Ahmed AE, Ahmed MB, Ahmed R, Ajumobi O, Akal CG, Akalu TY, Akanda AS, Alamene GM, Alanzi TM, Albright JR, Alcalde Rabanal JE, Alemnew BT, Alemu ZA, Ali BA, Ali M, Alijanzadeh M, Alipour V, Aljunid SM, Almasi A, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi K, Alvis-Guzman N, Alvis-Zakzuk NJ, Amare AT, Amini S, Amit AML, Andrei CL, Anegago MT, Anjomshoa M, Ansari F, Antonio CAT, Antriyandarti E, Appiah SCY, Arabloo J, Aremu O, Armoon B, Aryal KK, Arzani A, Asadi-Lari M, Ashagre AF, Atalay HT, Atique S, Atre SR, Ausloos M, Avila-Burgos L, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayano G, Ayanore MA, Ayele AA, Aynalem YAA, Azari S, Babaee E, Badawi A, Bakkannavar SM, Balakrishnan S, Bali AG, Banach M, Barac A, Bärnighausen TW, Basaleem H, Bassat Q, Bayati M, Bedi N, Behzadifar M, Behzadifar M, Bekele YA, Bell ML, Bennett DA, Berbada DA, Beyranvand T, Bhat AG, Bhattacharyya K, Bhattarai S, Bhaumik S, Bijani A, Bikbov B, Biswas RK, Bogale KA, Bohlouli S, Brady OJ, Bragazzi NL, Briko NI, Briko AN, Burugina Nagaraja S, Butt ZA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carvalho F, Castro F, Chansa C, Chatterjee P, Chattu VK, Chauhan BG, Chin KL, Christopher DJ, Chu DT, Claro RM, Cormier NM, Costa VM, Damiani G, Daoud F, Dandona L, Dandona R, Darwish AH, Daryani A, Das JK, Das Gupta R, Dasa TT, Davila CA, Davis Weaver N, Davitoiu DV, De Neve JW, Demeke FM, Demis AB, Demoz GT, Denova-Gutiérrez E, Deribe K, Desalew A, Dessie GA, Dharmaratne SD, Dhillon P, Dhimal M, Dhungana GP, Diaz D, Ding EL, Diro HD, Djalalinia S, Do HP, Doku DT, Dolecek C, Dubey M, Dubljanin E, Duko Adema B, Dunachie SJ, Durães AR, Duraisamy S, Effiong A, Eftekhari A, El Sayed I, El Sayed Zaki M, El Tantawi M, Elemineh DA, El-Jaafary SI, Elkout H, Elsharkawy A, Enany S, Endalamfaw A, Endalew DA, Eskandarieh S, Esteghamati A, Etemadi A, Farag TH, Faraon EJA, Fareed M, Faridnia R, Farioli A, Faro A, Farzam H, Fazaeli AA, Fazlzadeh M, Fentahun N, Fereshtehnejad SM, Fernandes E, Filip I, Fischer F, Foroutan M, Francis JM, Franklin RC, Frostad JJ, Fukumoto T, Gayesa RT, Gebremariam KT, Gebremedhin KBB, Gebremeskel GG, Gedefaw GA, Geramo YCD, Geta B, Gezae KE, Ghashghaee A, Ghassemi F, Gill PS, Ginawi IA, Goli S, Gomes NGM, Gopalani SV, Goulart BNG, Grada A, Gugnani HC, Guido D, Guimares RA, Guo Y, Gupta R, Gupta R, Hafezi-Nejad N, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Handiso DW, Haririan H, Hariyani N, Hasaballah AI, Hasan MM, Hasanzadeh A, Hassankhani H, Hassen HY, Hayelom DH, Heidari B, Henry NJ, Herteliu C, Heydarpour F, Hidru HDD, Hoang CL, Hoogar P, Hoseini-Ghahfarokhi M, Hossain N, Hosseini M, Hosseinzadeh M, Househ M, Hu G, Humayun A, Hussain SA, Ibitoye SE, Ilesanmi OS, Ilic MD, Inbaraj LR, Irvani SSN, Islam SMS, Iwu CJ, Jaca A, Jafari Balalami N, Jahanmehr N, Jakovljevic M, Jalali A, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jia P, Johnson KB, Jonas JB, Jozwiak JJ, Kabir A, Kabir Z, Kahsay A, Kalani H, Kanchan T, Karami Matin B, Karch A, Karki S, Kasaeian A, Kasahun GG, Kayode GA, Kazemi Karyani A, Keiyoro PN, Ketema DB, Khader YS, Khafaie MA, Khalid N, Khalil AT, Khalil I, Khalilov R, Khan MN, Khan EA, Khan G, Khan J, Khatab K, Khater A, Khater MM, Khatony A, Khayamzadeh M, Khazaei M, Khazaei S, Khodamoradi E, Khosravi MH, Khubchandani J, Kiadaliri AA, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kissoon N, Kondlahalli SKMKMM, Kosek MN, Koyanagi A, Kraemer MUG, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar P, Kusuma D, La Vecchia C, Lacey B, Lal A, Lal DK, Lami FH, Lansingh VC, Lasrado S, Lee PH, Leili M, Lenjebo TTLL, Levine AJ, Lewycka S, Li S, Linn S, Lodha R, Longbottom J, Lopukhov PD, Magdeldin S, Mahasha PW, Mahotra NB, Malta DC, Mamun AA, Manafi N, Manafi F, Manda AL, Mansournia MA, Mapoma CC, Marami D, Marczak LB, Martins-Melo FR, März W, Masaka A, Mathur MR, Maulik PK, Mayala BK, McAlinden C, Mehndiratta MM, Mehrotra R, Mehta KM, Meles GG, Melese A, Memish ZA, Mena AT, Menezes RG, Mengesha MM, Mengistu DT, Mengistu G, Meretoja TJ, Miazgowski B, Mihretie KMM, Miller-Petrie MK, Mills EJ, Mir SM, Mirabi P, Mirrakhimov EM, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad DK, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadifard N, Mohammed AS, Mohammed S, Mohammed JA, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moradi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moraga P, Mosapour A, Mouodi S, Mousavi SM, Mozaffor MMM, Muluneh AG, Muriithi MK, Murray CJL, Murthy GVS, Musa KI, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Najafi F, Nangia V, Nazari J, Ndwandwe DE, Negoi I, Ngunjiri JW, Nguyen QP, Nguyen TH, Nguyen CT, Nigatu D, Ningrum DNA, Nnaji CA, Nojomi M, Noubiap JJ, Oh IH, Okpala O, Olagunju AT, Omar Bali A, Onwujekwe OE, Ortega-Altamirano DDV, Osarenotor O, Osei FB, Owolabi MO, P A M, Padubidri JR, Pana A, Pashaei T, Pati S, Patle A, Patton GC, Paulos K, Pepito VCF, Pereira A, Perico N, Pesudovs K, Pigott DM, Piroozi B, Platts-Mills JA, Poljak M, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Poustchi H, Prada SI, Preotescu L, Quintana H, Rabiee N, Rabiee M, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman MA, Rajati F, Ramezanzadeh K, Rana SM, Ranabhat CL, Rasella D, Rawaf S, Rawaf DL, Rawal L, Remuzzi G, Renjith V, Renzaho AMN, Reta MA, Rezaei S, Ribeiro AI, Rickard J, Rios González CM, Rios-Blancas MJ, Roever L, Ronfani L, Roro EM, Rostami A, Rothenbacher D, Rubagotti E, Rubino S, Saad AM, Sabour S, Sadeghi E, Safari S, Safdarian M, Sagar R, Sahraian MA, Sajadi SM, Salahshoor MR, Salam N, Salehi F, Salehi Zahabi S, Salem MRR, Salem H, Salimi Y, Salimzadeh H, Sambala EZ, Samy AM, Sanabria J, Santos IS, Saraswathy SYI, Sarker AR, Sartorius B, Sathian B, Satpathy M, Sbarra AN, Schaeffer LE, Schwebel DC, Senbeta AM, Senthilkumaran S, Shabaninejad H, Shaheen AA, Shaikh MA, Shalash AS, Shallo SA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharif M, Shey MS, Shibuya K, Shiferaw WSS, Shigematsu M, Shil A, Shin JI, Shiri R, Shirkoohi R, Si S, Siabani S, Singh JA, Singh NP, Sinha DN, Sisay MM, Skiadaresi E, Smith DL, Sobhiyeh MR, Sokhan A, Soofi M, Soriano JB, Sorrie MB, Soyiri IN, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Suleria HAR, Sykes BL, Tamirat KS, Tassew AA, Taveira N, Taye B, Tehrani-Banihashemi A, Temsah MH, Tesfay BE, Tesfay FH, Tessema ZT, Thankappan KR, Thirunavukkarasu S, Thomas N, Tlaye KG, Tlou B, Tovani-Palone MR, Traini E, Tran KB, Trihandini I, Ullah I, Unnikrishnan B, Valadan Tahbaz S, Valdez PR, Varughese S, Veisani Y, Violante FS, Vollmer S, Vos T, Wada FW, Waheed Y, Wang Y, Wang YP, Weldesamuel GT, Welgan CA, Westerman R, Wiangkham T, Wijeratne T, Wiysonge CSS, Wolde HF, Wondafrash DZ, Wonde TE, Wu AM, Xu G, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yaseri M, Yenesew MA, Yeshaneh A, Yilma MT, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Younis MZ, Yousof HASA, Yu C, Yusefzadeh H, Zamani M, Zambrana-Torrelio C, Zandian H, Zeleke AJ, Zepro NB, Zewale TA, Zhang D, Zhang Y, Zhao XJ, Ziapour A, Zodpey S, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395:1779-1801. [PMID: 32513411 PMCID: PMC7314599 DOI: 10.1016/s0140-6736(20)30114-8] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 10/24/2019] [Accepted: 01/10/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. METHODS We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. FINDINGS The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. INTERPRETATION By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. FUNDING Bill & Melinda Gates Foundation.
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Troeger CE, Khalil IA, Blacker BF, Biehl MH, Albertson SB, Zimsen SRM, Rao PC, Abate D, Ahmadi A, Ahmed MLCB, Akal CG, Alahdab F, Alam N, Alene KA, Alipour V, Aljunid SM, Al-Raddadi RM, Alvis-Guzman N, Amini S, Anber NH, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Atalay HT, Atique S, Avokpaho EFGA, Awad S, Awasthi A, Badawi A, Balakrishnan K, Banoub JAM, Barac A, Bassat Q, Bedi N, Bennett DA, Bhattacharyya K, Bhutta ZA, Bijani A, Car J, Carvalho F, Castañeda-Orjuela CA, Christopher DJ, Dandona L, Dandona R, Daryani A, Demeke FM, Deshpande A, Djalalinia S, Dubey M, Dubljanin E, Duken EE, El Sayed Zaki M, Endries AY, Fernandes E, Fischer F, Fullman N, Gardner WM, Geta B, Ghadiri K, Gorini G, Goulart AC, Guo Y, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Hassen HY, Hoang CL, Hostiuc M, Hussain Z, Irvani SSN, James SL, Jha RP, Jonas JB, Karch A, Kasaeian A, Kassa TD, Kassebaum NJ, Kefale AT, Khader YS, Khan EA, Khan MN, Khang YH, Khoja AT, Kimokoti RW, Kisa A, Kisa S, Kissoon N, Kochhar S, Kosen S, Koyanagi A, Kuate Defo B, Kumar GA, Lal DK, Leshargie CT, Li S, Lodha R, Macarayan ERK, Majdan M, Mamun AA, Manguerra H, Melese A, Memish ZA, Mengistu DT, Meretoja TJ, Mestrovic T, Miazgowski B, Mirrakhimov EM, Moazen B, Mohammad KA, Mohammed S, Monasta L, Moore CE, Mosser JF, Mousavi SM, Murthy S, Mustafa G, Nazari J, Nguyen CT, Nguyen LH, Nisar MI, Nixon MR, Ogbo FA, Okoro A, Olagunju AT, Olagunju TO, P A M, Pakhale S, Postma MJ, Qorbani M, Quansah R, Rafiei A, Rahim F, Rahimi-Movaghar V, Rai RK, Rezai MS, Rezapour A, Rios-Blancas MJ, Ronfani L, Rosettie K, Rothenbacher D, Safari S, Saleem Z, Sambala EZ, Samy AM, Santric Milicevic MM, Sartorius B, Sawhney M, Seyedmousavi S, Shaikh MA, Sheikh A, Shigematsu M, Smith DL, Soriano JB, Sreeramareddy CT, Stanaway JD, Sufiyan MB, Teklu TGE, Temsah MH, Tessema B, Tran BX, Tran KB, Ullah I, Updike RL, Vasankari TJ, Veisani Y, Wada FW, Waheed Y, Weaver M, Wiens KE, Wiysonge CS, Yimer EM, Yonemoto N, Zaidi Z, Zar HJ, Zarghi A, Lim SS, Vos T, Mokdad AH, Murray CJL, Kyu HH, Hay SI, Reiner RC. Quantifying risks and interventions that have affected the burden of diarrhoea among children younger than 5 years: an analysis of the Global Burden of Disease Study 2017. Lancet Infect Dis 2020; 20:37-59. [PMID: 31678029 PMCID: PMC7340495 DOI: 10.1016/s1473-3099(19)30401-3] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 05/13/2019] [Accepted: 07/05/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Many countries have shown marked declines in diarrhoeal disease mortality among children younger than 5 years. With this analysis, we provide updated results on diarrhoeal disease mortality among children younger than 5 years from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) and use the study's comparative risk assessment to quantify trends and effects of risk factors, interventions, and broader sociodemographic development on mortality changes in 195 countries and territories from 1990 to 2017. METHODS This analysis for GBD 2017 had three main components. Diarrhoea mortality was modelled using vital registration data, demographic surveillance data, and verbal autopsy data in a predictive, Bayesian, ensemble modelling tool; and the attribution of risk factors and interventions for diarrhoea were modelled in a counterfactual framework that combines modelled population-level prevalence of the exposure to each risk or intervention with the relative risk of diarrhoea given exposure to that factor. We assessed the relative and absolute change in diarrhoea mortality rate between 1990 and 2017, and used the change in risk factor exposure and sociodemographic status to explain differences in the trends of diarrhoea mortality among children younger than 5 years. FINDINGS Diarrhoea was responsible for an estimated 533 768 deaths (95% uncertainty interval 477 162-593 145) among children younger than 5 years globally in 2017, a rate of 78·4 deaths (70·1-87·1) per 100 000 children. The diarrhoea mortality rate ranged between countries by over 685 deaths per 100 000 children. Diarrhoea mortality per 100 000 globally decreased by 69·6% (63·1-74·6) between 1990 and 2017. Among the risk factors considered in this study, those responsible for the largest declines in the diarrhoea mortality rate were reduction in exposure to unsafe sanitation (13·3% decrease, 11·2-15·5), childhood wasting (9·9% decrease, 9·6-10·2), and low use of oral rehydration solution (6·9% decrease, 4·8-8·4). INTERPRETATION Diarrhoea mortality has declined substantially since 1990, although there are variations by country. Improvements in sociodemographic indicators might explain some of these trends, but changes in exposure to risk factors-particularly unsafe sanitation, childhood growth failure, and low use of oral rehydration solution-appear to be related to the relative and absolute rates of decline in diarrhoea mortality. Although the most effective interventions might vary by country or region, identifying and scaling up the interventions aimed at preventing and protecting against diarrhoea that have already reduced diarrhoea mortality could further avert many thousands of deaths due to this illness. FUNDING Bill & Melinda Gates Foundation.
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Frank TD, Carter A, Jahagirdar D, Biehl MH, Douwes-Schultz D, Larson SL, Arora M, Dwyer-Lindgren L, Steuben KM, Abbastabar H, Abu-Raddad LJ, Abyu DM, Adabi M, Adebayo OM, Adekanmbi V, Adetokunboh OO, Ahmadi A, Ahmadi K, Ahmadian E, Ahmadpour E, Ahmed MB, Akal CG, Alahdab F, Alam N, Albertson SB, Alemnew BTT, Alene KA, Alipour V, Alvis-Guzman N, Amini S, Anbari Z, Anber NH, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Areri HA, Asfaw ET, Ashagre AF, Asmelash D, Asrat AA, Avokpaho EFGA, Awasthi A, Awoke N, Ayanore MA, Azari S, Badawi A, Bagherzadeh M, Banach M, Barac A, Bärnighausen TW, Basu S, Bedi N, Behzadifar M, Bekele BB, Belay SA, Belay YB, Belayneh YM, Berhane A, Bhat AG, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Bitew H, Blinov A, Bogale KA, Bojia HA, Burugina Nagaraja SBN, Butt ZA, Cahuana-Hurtado L, Campuzano Rincon JC, Carvalho F, Chattu VK, Christopher DJ, Chu DT, Crider R, Dahiru T, Dandona L, Dandona R, Daryani A, das Neves J, De Neve JW, Degenhardt L, Demeke FM, Demis AB, Demissie DB, Demoz GT, Deribe K, Des Jarlais D, Dhungana GP, Diaz D, Djalalinia S, Do HP, Doan LP, Duber H, Dubey M, Dubljanin E, Duken EE, Duko Adema B, Effiong A, Eftekhari A, El Sayed Zaki M, El-Jaafary SI, El-Khatib Z, Elsharkawy A, Endries AY, Eskandarieh S, Eyawo O, Farzadfar F, Fatima B, Fentahun N, Fernandes E, Filip I, Fischer F, Folayan MO, Foroutan M, Fukumoto T, Fullman N, Garcia-Basteiro AL, Gayesa RT, Gebremedhin KB, Gebremeskel GGG, Gebreyohannes KK, Gedefaw GA, Gelaw BK, Gesesew HA, Geta B, Gezae KE, Ghadiri K, Ghashghaee A, Ginindza TTG, Gugnani HC, Guimarães RA, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Handanagic S, Handiso DW, Hanfore LK, Hasanzadeh A, Hassankhani H, Hassen HY, Hay SI, Henok A, Hoang CL, Hosgood HD, Hosseinzadeh M, Hsairi M, Ibitoye SE, Idrisov B, Ikuta KS, Ilesanmi OS, Irvani SSN, Iwu CJ, Jacobsen KH, James SL, Jenabi E, Jha RP, Jonas JB, Jorjoran Shushtari Z, Kabir A, Kabir Z, Kadel R, Kasaeian A, Kassa B, Kassa GM, Kassa TD, Kayode GA, Kebede MM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khan EA, Khan G, Khan J, Khang YH, Khatab K, Khazaei S, Khoja AT, Kiadaliri AA, Kim YJ, Kisa A, Kisa S, Kochhar S, Komaki H, Koul PA, Koyanagi A, Kuate Defo B, Kumar GA, Kumar M, Kuupiel D, Lal DK, Lee JJH, Lenjebo TL, Leshargie CT, Macarayan ERK, Maddison ER, Magdy Abd El Razek H, Magis-Rodriguez C, Mahasha PW, Majdan M, Majeed A, Malekzadeh R, Manafi N, Mapoma CC, Martins-Melo FR, Masaka A, Mayenga ENL, Mehta V, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Memish ZA, Mena AT, Mendoza W, Mengistu DT, Mengistu G, Meretoja TJ, Mestrovic T, Miller TR, Moazen B, Mohajer B, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadibakhsh R, Mohammadoo-Khorasani M, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Moodley Y, Moossavi M, Moradi G, Moradi-Lakeh M, Moschos MM, Mossie TB, Mousavi SM, Muchie KF, Muluneh AG, Muriithi MK, Mustafa G, Muthupandian S, Nagarajan AJ, Naik G, Najafi F, Nazari J, Ndwandwe DE, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Ningrum DNA, Nixon MR, Nnaji CA, Noroozi M, Noubiap JJ, Nourollahpour Shiadeh M, Obsa MS, Odame EA, Ofori-Asenso R, Ogbo FA, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olum S, Oppong Asante KOA, Oren E, Otstavnov SS, PA M, Padubidri JR, Pakhale S, Pakpour AH, Patel SK, Paulos K, Pepito VCF, Peprah EK, Piroozi B, Pourshams A, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman SU, Ranabhat CL, Rawaf S, Reis C, Renjith V, Reta MA, Rezai MS, Rios González CM, Roro EM, Rostami A, Rubino S, Saeedi Moghaddam S, Safari S, Sagar R, Sahraian MA, Salem MRR, Salimi Y, Salomon JA, Sambala EZ, Samy AM, Sartorius B, Satpathy M, Sawhney M, Sayyah M, Schutte AE, Sepanlou SG, Seyedmousavi S, Shabaninejad H, Shaheen AA, Shaikh MA, Shallo SA, Shamsizadeh M, Sharifi H, Shibuya K, Shin JI, Shirkoohi R, Silva DAS, Silveira DGA, Singh JA, Sisay MMM, Sisay M, Sisay S, Smith AE, Sokhan A, Somayaji R, Soshnikov S, Stein DJ, Sufiyan MB, Sunguya BF, Sykes BL, Tadesse BT, Tadesse DB, Tamirat KS, Taveira N, Tekelemedhin SW, Temesgen HD, Tesfay FH, Teshale MY, Thapa S, Tlaye KG, Topp SM, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Uthman OA, Veisani Y, Vladimirov SK, Wada FW, Waheed Y, Weldegwergs KG, Weldesamuel GTT, Westerman R, Wijeratne T, Wolde HF, Wondafrash DZ, Wonde TE, Wondmagegn BY, Yeshanew AG, Yilma MT, Yimer EM, Yonemoto N, Yotebieng M, Youm Y, Yu C, Zaidi Z, Zarghi A, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Naghavi M, Vollset SE, Wang H, Lim SS, Kyu HH, Murray CJL. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. Lancet HIV 2019; 6:e831-e859. [PMID: 31439534 PMCID: PMC6934077 DOI: 10.1016/s2352-3018(19)30196-1] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/24/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. METHODS We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package-a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce age-sex-specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. FINDINGS Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. INTERPRETATION Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact. FUNDING Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
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Wada FW, Tufa EG, Berheto TM, Solomon FB. Nasopharyngeal carriage of Streptococcus pneumoniae and antimicrobial susceptibility pattern among school children in South Ethiopia: post-vaccination era. BMC Res Notes 2019; 12:306. [PMID: 31142367 PMCID: PMC6542063 DOI: 10.1186/s13104-019-4330-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 05/22/2019] [Indexed: 11/16/2022] Open
Abstract
Objective The aim of this study was to investigate nasopharyngeal carriage rate and antibiotic susceptibility patterns of Streptococcus pneumoniae among school children. Results Three hundred eleven (43.8%) became culture positive for S. pneumoniae. The carriage rate among children, 3–5 years old was 62.5%, which was higher than the carriage rate of 38.6% among 6–13 years old children. Age ≤ 5 years and co-sleeping with siblings remained significantly associated with S. pneumoniae carriage. 155 (49.8%) of the isolates were resistant to co-trimoxazole, 152 (48.9%) of the isolates were resistant to tetracycline, and 88 (28.3%) of isolates were resistant to oxacillin. Multi drug resistant S. pneumoniae was observed in 90 (28.9%) of isolates. There is high prevalence of S. pneumoniae in primary school children in our study area. Relatively high carriage rate of resistance to oxacillin, tetracycline and co-trimoxazole were observed. These findings provide baseline data for future studies to further compare pneumococcal carriage rates and antibiotic resistance patterns. Electronic supplementary material The online version of this article (10.1186/s13104-019-4330-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Efrata Girma Tufa
- School of Public Health, Departement of Reproductive Health and Human Nutrition, Wolaita Sodo University, Wolaita Sodo, Ethiopia
| | - Tezera Moshago Berheto
- School of Public Health, College of Health Science and Medicine, Wolaita Sodo University, Sodo, Ethiopia
| | - Fithamlak Bisetegen Solomon
- Medical Laboratory Department, College of Health Science and Medicine, Wolaita Sodo University, Pobox 138, Sodo, Ethiopia.
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Solomon FB, Wada FW, Anjulo AA, Koyra HC, Tufa EG. Burden of intestinal pathogens and associated factors among asymptomatic food handlers in South Ethiopia: emphasis on salmonellosis. BMC Res Notes 2018; 11:502. [PMID: 30041687 PMCID: PMC6056936 DOI: 10.1186/s13104-018-3610-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 07/17/2018] [Indexed: 11/12/2022] Open
Abstract
Objective The study aims to assess the burden of intestinal parasites and Salmonellosis among asymptomatic food handlers at meal serving facilities in Sodo town. Antibiotic resistance was also common and increasing among Salmonella isolates with multidrug resistance as current concern. Result Community based cross-sectional study was carried out from 387 food handlers working in meal serving facilities. Food handlers, 159(41%) had one or more intestinal parasites. A. lumbricoides was the most prevalent parasite 30(7.8%), followed by Taenia species 26(6.7%) and Hook worm 23(5.9%). A total number of 35 Salmonella isolates were found of which Sero-group D was the most frequent, 17(48.5%) followed by Sero-group C, 12(34.3%), and B 6(17.1%). Ten (2.5%) isolates were Salmonella typhi. Raw meat eating, hand washing after toilet and after touching dirty materials showed significant association with intestinal pathogens. Salmonella isolates were highly resistant to ampicillin (85.7%), amoxicillin and tetracycline 74.3% each. Multidrug resistance prevalence of 81.8% was identified. Periodic screening of food handlers is important in order to prevent the transmission of intestinal parasites and Salmonellosis. Treatment needs to be based on accurate laboratory detection to mitigate the spread of drug resistant Salmonella strains. Electronic supplementary material The online version of this article (10.1186/s13104-018-3610-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Fithamlak Bisetegen Solomon
- Department of Medical Laboratory, School of Medicine, Wolaita Sodo University, P.O.Box: 138, Wolaita Sodo, Ethiopia.
| | - Fiseha Wadilo Wada
- Department of Medical Laboratory, School of Medicine, Wolaita Sodo University, P.O.Box: 138, Wolaita Sodo, Ethiopia
| | - Antehun Alemayehu Anjulo
- Department of Medical Laboratory, School of Medicine, Wolaita Sodo University, P.O.Box: 138, Wolaita Sodo, Ethiopia
| | - Hailu Chare Koyra
- Department of Pharmacy, Wolaita Sodo University, Wolaita Sodo, Ethiopia
| | - Efrata Girma Tufa
- School of Public Health, Wolaita Sodo University, Wolaita Sodo, Ethiopia
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