95 results on '"Ifedayo M. O. Adetifa"'
Search Results
2. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data [version 3; peer review: 2 approved, 1 approved with reservations]
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Sophie Uyoga, Ambrose Agweyu, Rabia Aziza, Edwine Barasa, Benjamin Tsofa, Philip Bejon, Edward Otieno, Morris Ogero, John Ojal, Vincent Were, Samuel P. C. Brand, Ivy K. Kombe, Emelda A. Okiro, George M. Warimwe, Caroline Mburu, J. Anthony G. Scott, Ifedayo M. O. Adetifa, Charles N. Agoti, Lynette I. Ochola-Oyier, Patrick Amoth, Kadondi Kasera, Rashid Aman, Mercy Mwangangi, Matt J. Keeling, Wangari Ng’ang’a, and D. James Nokes
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SARS-CoV-2 ,Kenya ,dynamic model ,serology ,PCR cases ,eng ,Medicine ,Science - Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
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- 2022
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3. Inequities in childhood immunisation coverage associated with socioeconomic, geographic, maternal, child, and place of birth characteristics in Kenya
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Simon Allan, Ifedayo M. O. Adetifa, and Kaja Abbas
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Full immunisation coverage ,Vaccine equity ,Kenya ,Demographic and health survey ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background The global Immunisation Agenda 2030 highlights coverage and equity as a strategic priority goal to reach high equitable immunisation coverage at national levels and in all districts. We estimated inequities in full immunisation coverage associated with socioeconomic, geographic, maternal, child, and place of birth characteristics among children aged 12–23 months in Kenya. Methods We analysed full immunisation coverage (1-dose BCG, 3-dose DTP-HepB-Hib (diphtheria, tetanus, pertussis, hepatitis B and Haemophilus influenzae type B), 3-dose polio, 1-dose measles, and 3-dose pneumococcal vaccines) of 3943 children aged 12–23 months from the 2014 Kenya Demographic and Health Survey. We disaggregated mean coverage by socioeconomic (household wealth, religion, ethnicity), geographic (place of residence, province), maternal (maternal age at birth, maternal education, maternal marital status, maternal household head status), child (sex of child, birth order), and place of birth characteristics, and estimated inequities in full immunisation coverage using bivariate and multivariate logistic regression. Results Immunisation coverage ranged from 82% [81–84] for the third dose of polio to 97.4% [96.7–98.2] for the first dose of DTP-HepB-Hib, while full immunisation coverage was 68% [66–71] in 2014. After controlling for other background characteristics through multivariate logistic regression, children of mothers with primary school education or higher have at least 54% higher odds of being fully immunised compared to children of mothers with no education. Children born in clinical settings had 41% higher odds of being fully immunised compared to children born in home settings. Children in the Coast, Western, Central, and Eastern regions had at least 74% higher odds of being fully immunised compared to children in the North Eastern region, while children in urban areas had 26% lower odds of full immunisation compared to children in rural areas. Children in the middle and richer wealth quintile households were 43–57% more likely to have full immunisation coverage compared to children in the poorest wealth quintile households. Children who were sixth born or higher had 37% lower odds of full immunisation compared to first-born children. Conclusions Children of mothers with no education, born in home settings, in regions with limited health infrastructure, living in poorer households, and of higher birth order are associated with lower rates of full immunisation. Targeted programmes to reach under-immunised children in these subpopulations will lower the inequities in childhood immunisation coverage in Kenya.
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- 2021
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4. Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya
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Ifedayo M. O. Adetifa, Sophie Uyoga, John N. Gitonga, Daisy Mugo, Mark Otiende, James Nyagwange, Henry K. Karanja, James Tuju, Perpetual Wanjiku, Rashid Aman, Mercy Mwangangi, Patrick Amoth, Kadondi Kasera, Wangari Ng’ang’a, Charles Rombo, Christine Yegon, Khamisi Kithi, Elizabeth Odhiambo, Thomas Rotich, Irene Orgut, Sammy Kihara, Christian Bottomley, Eunice W. Kagucia, Katherine E. Gallagher, Anthony Etyang, Shirine Voller, Teresa Lambe, Daniel Wright, Edwine Barasa, Benjamin Tsofa, Philip Bejon, Lynette I. Ochola-Oyier, Ambrose Agweyu, J. Anthony G. Scott, and George M. Warimwe
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Science - Abstract
The reported burden of SARS-CoV-2 has been relatively low in tropical Africa compared to Europe and the Americas, but estimating true infection rates is challenging. Here, the authors screen blood donors in Kenya for SARS-CoV-2 antibodies and describe spatiotemporal seroprevalence dynamics.
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- 2021
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5. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data [version 2; peer review: 2 approved, 1 approved with reservations]
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Sophie Uyoga, Ambrose Agweyu, Rabia Aziza, Edwine Barasa, Benjamin Tsofa, Philip Bejon, Edward Otieno, Morris Ogero, John Ojal, Vincent Were, Samuel P. C. Brand, Ivy K. Kombe, Emelda A. Okiro, George M. Warimwe, Caroline Mburu, J. Anthony G. Scott, Ifedayo M. O. Adetifa, Charles N. Agoti, Lynette I. Ochola-Oyier, Patrick Amoth, Kadondi Kasera, Rashid Aman, Mercy Mwangangi, Matt J. Keeling, Wangari Ng’ang’a, and D. James Nokes
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SARS-CoV-2 ,Kenya ,dynamic model ,serology ,PCR cases ,eng ,Medicine ,Science - Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
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- 2022
- Full Text
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6. Sero-surveillance for IgG to SARS-CoV-2 at antenatal care clinics in three Kenyan referral hospitals: Repeated cross-sectional surveys 2020–21
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Ruth K. Lucinde, Daisy Mugo, Christian Bottomley, Angela Karani, Elizabeth Gardiner, Rabia Aziza, John N. Gitonga, Henry Karanja, James Nyagwange, James Tuju, Perpetual Wanjiku, Edward Nzomo, Evans Kamuri, Kaugiria Thuranira, Sarah Agunda, Gideon Nyutu, Anthony O. Etyang, Ifedayo M. O. Adetifa, Eunice Kagucia, Sophie Uyoga, Mark Otiende, Edward Otieno, Leonard Ndwiga, Charles N. Agoti, Rashid A. Aman, Mercy Mwangangi, Patrick Amoth, Kadondi Kasera, Amek Nyaguara, Wangari Ng’ang’a, Lucy B. Ochola, Emukule Namdala, Oscar Gaunya, Rosemary Okuku, Edwine Barasa, Philip Bejon, Benjamin Tsofa, L. Isabella Ochola-Oyier, George M. Warimwe, Ambrose Agweyu, J. Anthony G. Scott, and Katherine E. Gallagher
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Medicine ,Science - Abstract
Introduction The high proportion of SARS-CoV-2 infections that have remained undetected presents a challenge to tracking the progress of the pandemic and estimating the extent of population immunity. Methods We used residual blood samples from women attending antenatal care services at three hospitals in Kenya between August 2020 and October 2021and a validated IgG ELISA for SARS-Cov-2 spike protein and adjusted the results for assay sensitivity and specificity. We fitted a two-component mixture model as an alternative to the threshold analysis to estimate of the proportion of individuals with past SARS-CoV-2 infection. Results We estimated seroprevalence in 2,981 women; 706 in Nairobi, 567 in Busia and 1,708 in Kilifi. By October 2021, 13% of participants were vaccinated (at least one dose) in Nairobi, 2% in Busia. Adjusted seroprevalence rose in all sites; from 50% (95%CI 42–58) in August 2020, to 85% (95%CI 78–92) in October 2021 in Nairobi; from 31% (95%CI 25–37) in May 2021 to 71% (95%CI 64–77) in October 2021 in Busia; and from 1% (95% CI 0–3) in September 2020 to 63% (95% CI 56–69) in October 2021 in Kilifi. Mixture modelling, suggests adjusted cross-sectional prevalence estimates are underestimates; seroprevalence in October 2021 could be 74% in Busia and 72% in Kilifi. Conclusions There has been substantial, unobserved transmission of SARS-CoV-2 in Nairobi, Busia and Kilifi Counties. Due to the length of time since the beginning of the pandemic, repeated cross-sectional surveys are now difficult to interpret without the use of models to account for antibody waning.
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- 2022
7. Nasopharyngeal Pneumococcal Carriage in Nigeria: a two-site, population-based survey
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Ifedayo M. O. Adetifa, Aishatu L. Adamu, Angela Karani, Michael Waithaka, Kofo A. Odeyemi, Christy A. N. Okoromah, Mohammed M. Bello, Isa S. Abubakar, Victor Inem, and J. Anthony. G. Scott
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Medicine ,Science - Abstract
Abstract Changes in nasopharyngeal (NP) carriage of vaccine-type (VT) Streptococcus pneumoniae can be used to assess the effectiveness of a pneumococcal conjugate vaccine (PCV10). We conducted a baseline carriage survey in rural (Kumbotso, Kano) and urban (Pakoto, Ogun) Nigeria. In this cross-sectional study, we obtained data on demography, clinical history, risk factors, and took NP swabs for pneumococcal culture. We calculated crude and age-standardised carriage prevalence and used log-binomial regression to assess risk factors for carriage. Among children aged 40% across all ages. The age-standardized prevalence of pneumococcal carriage was 66% in Kumbotso and 40% in Pakoto. The most commonly identified serotypes were 19 F, 6 A and 23 F. Risk factors for carriage were young age, recent rhinorrhoea, cohabitation with ≥2 children aged
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- 2018
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8. Publisher Correction: Non-tuberculous Mycobacteria isolated from Pulmonary samples in sub-Saharan Africa - A Systematic Review and Meta Analyses
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Catherine Okoi, Suzanne T. B. Anderson, Martin Antonio, Sarah N. Mulwa, Florian Gehre, and Ifedayo M. O. Adetifa
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Medicine ,Science - Abstract
A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.
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- 2018
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9. T-Lymphocyte Subsets in Apparently Healthy Nigerian Children
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Emmanuel Oni Idigbe, Rosemary A. Audu, Edna O. Iroha, Adebola O. Akinsulie, Edamisan Olusoji Temiye, Veronica C. Ezeaka, Ifedayo M. O. Adetifa, Adesola Z. Musa, Joseph Onyewuche, and Sylvester U. Ikondu
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Pediatrics ,RJ1-570 - Published
- 2010
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10. Tobacco smoking clusters in households affected by tuberculosis in an individual participant data meta-analysis of national tuberculosis prevalence surveys: Time for household-wide interventions?
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Yohhei Hamada, Matteo Quartagno, Irwin Law, Farihah Malik, Frank Adae Bonsu, Ifedayo M O Adetifa, Yaw Adusi-Poku, Umberto D'Alessandro, Adedapo Olufemi Bashorun, Vikarunnessa Begum, Dina Bisara Lolong, Tsolmon Boldoo, Themba Dlamini, Simon Donkor, Bintari Dwihardiani, Saidi Egwaga, Muhammad N Farid, Anna Marie Celina G Garfin, Donna Mae G Gaviola, Mohammad Mushtuq Husain, Farzana Ismail, Mugagga Kaggwa, Deus V Kamara, Samuel Kasozi, Kruger Kaswaswa, Bruce Kirenga, Eveline Klinkenberg, Zuweina Kondo, Adebola Lawanson, David Macheque, Ivan Manhiça, Llang Bridget Maama-Maime, Sayoki Mfinanga, Sizulu Moyo, James Mpunga, Thuli Mthiyane, Dyah Erti Mustikawati, Lindiwe Mvusi, Hoa Binh Nguyen, Hai Viet Nguyen, Lamria Pangaribuan, Philip Patrobas, Mahmudur Rahman, Mahbubur Rahman, Mohammed Sayeedur Rahman, Thato Raleting, Pandu Riono, Nunurai Ruswa, Elizeus Rutebemberwa, Mugabe Frank Rwabinumi, Mbazi Senkoro, Ahmad Raihan Sharif, Welile Sikhondze, Charalambos Sismanidis, Tugsdelger Sovd, Turyahabwe Stavia, Sabera Sultana, Oster Suriani, Albertina Martha Thomas, Kristina Tobing, Martie Van der Walt, Simon Walusimbi, Mohammad Mostafa Zaman, Katherine Floyd, Andrew Copas, Ibrahim Abubakar, and Molebogeng X Rangaka
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Public aspects of medicine ,RA1-1270 - Abstract
Tuberculosis (TB) and non-communicable diseases (NCD) share predisposing risk factors. TB-associated NCD might cluster within households affected with TB requiring shared prevention and care strategies. We conducted an individual participant data meta-analysis of national TB prevalence surveys to determine whether NCD cluster in members of households with TB. We identified eligible surveys that reported at least one NCD or NCD risk factor through the archive maintained by the World Health Organization and searching in Medline and Embase from 1 January 2000 to 10 August 2021, which was updated on 23 March 2023. We compared the prevalence of NCD and their risk factors between people who do not have TB living in households with at least one person with TB (members of households with TB), and members of households without TB. We included 16 surveys (n = 740,815) from Asia and Africa. In a multivariable model adjusted for age and gender, the odds of smoking was higher among members of households with TB (adjusted odds ratio (aOR) 1.23; 95% CI: 1.11-1.38), compared with members of households without TB. The analysis did not find a significant difference in the prevalence of alcohol drinking, diabetes, hypertension, or BMI between members of households with and without TB. Studies evaluating household-wide interventions for smoking to reduce its dual impact on TB and NCD may be warranted. Systematically screening for NCD using objective diagnostic methods is needed to understand the actual burden of NCD and inform comprehensive interventions.
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- 2024
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11. Implementation of the 7-1-7 target for detection, notification, and response to public health threats in five countries: a retrospective, observational study
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Aaron F Bochner, Issa Makumbi, Olaolu Aderinola, Aschalew Abayneh, Ralph Jetoh, Rahel L Yemanaberhan, Jenom S Danjuma, Francis T Lazaro, Hani J Mahmoud, Trokon O Yeabah, Lydia Nakiire, Aperki K Yahaya, Renato A Teixeira, Mohammed Lamorde, Immaculate Nabukenya, John Oladejo, Ifedayo M O Adetifa, Wanderson Oliveira, Amanda McClelland, and Christopher T Lee
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General Medicine - Published
- 2023
12. Enablers and barriers to COVID-19 vaccine uptake in an urban slum in Lagos, Nigeria: informing vaccine engagement strategies for the marginalized
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Obianuju B Ozoh, Ayesha O Akinkugbe, Morayo A Olukoya, and Ifedayo M O Adetifa
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Health (social science) ,Public Health, Environmental and Occupational Health ,General Medicine - Abstract
BackgroundVaccination against coronavirus disease 2019 (COVID-19) is a cost-effective mitigation strategy against the pandemic. As the COVID-19 vaccine becomes more available, low uptake is now a global threat and understanding the underpinnings in local contexts is a priority for intervention development. We aimed to evaluate behavioural determinants of COVID-19 vaccine acceptance that could inform engagement strategies to improve vaccine uptake in Makoko, an urban slum in Lagos, Nigeria.MethodsA population-based case–control study utilized the barrier analysis (BA) approach to evaluate the beliefs and behaviours of 45 ‘doers’ and 45 ‘non-doers’. The standardized BA tabulation sheet was used to assess differences in the proportions between the two groups to identify significant factors that could be addressed through a behaviour change strategy.ResultsPerceived social norms (family, friend, healthcare workers) that approve the vaccine and expected vaccine protection against diseases among doers were determinants of behaviour. Perceived poor accessibility, safety concerns, lack of trust, low vaccine efficacy and low susceptibility to the infection were the most important determinants of behaviour among non-doers.ConclusionsMeasures to improve COVID-19 vaccine acceptance in Makoko should include improvement in accessibility and exposing myths and misinformation through clear, concise and evidence-based community education delivered by trusted persons such as healthcare workers and religious leaders.
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- 2023
13. Seroprevalence of Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 Among Healthcare Workers in Kenya
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Leonard Ndwiga, Shirine Voller, Kadondi Kasera, Rosemary Okuku, Anthony Etyang, Wangari Ng’ang’a, Ifedayo M. O. Adetifa, Nelson Kilimo, Thuranira Kaugiria, Katherine E. Gallagher, Ruth Lucinde, Mercy Mwangangi, Wycliffe Moracha, Philip Bejon, Ambrose Agweyu, Lucy B. Ochola, George M. Warimwe, Perpetual Wanjiku, Hosea Maroko, Justus Weru, Sophie Uyoga, Shadrack Mutua, James Tuju, J. Anthony G. Scott, David Mukabi, Barrack Angujo, Eddy Nzomo, Benjamin Tsofa, Rashid Aman, Namdala Emukule, Patrick Amoth, John N. Gitonga, Charles N. Agoti, Henry K. Karanja, Amek Nyaguara, Eric Maitha, Sande Charo, Christian Bottomley, Lynette Isabella Ochola-Oyier, Daisy Mugo, Edward Otieno, Monicah Ogutu, E Wangeci Kagucia, Evanson Kamuri, Mark Otiende, Angela Karani, David James Nokes, Edwine Barasa, Catherine Kalu, and James Nyagwange
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0301 basic medicine ,Microbiology (medical) ,2019-20 coronavirus outbreak ,Health Personnel ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Seroprevalence ,Antibodies, Viral ,Antibodies ,03 medical and health sciences ,0302 clinical medicine ,Seroepidemiologic Studies ,Health care ,Major Article ,Humans ,Medicine ,030212 general & internal medicine ,Multivariable model ,biology ,SARS-CoV-2 ,business.industry ,Health Care Workers ,COVID-19 ,virus diseases ,Spike Protein ,Bayes Theorem ,Assay sensitivity ,Kenya ,AcademicSubjects/MED00290 ,030104 developmental biology ,Infectious Diseases ,Spike Glycoprotein, Coronavirus ,biology.protein ,Antibody ,business ,Demography - Abstract
Background Few studies have assessed the seroprevalence of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among healthcare workers (HCWs) in Africa. We report findings from a survey among HCWs in 3 counties in Kenya. Methods We recruited 684 HCWs from Kilifi (rural), Busia (rural), and Nairobi (urban) counties. The serosurvey was conducted between 30 July and 4 December 2020. We tested for immunoglobulin G antibodies to SARS-CoV-2 spike protein, using enzyme-linked immunosorbent assay. Assay sensitivity and specificity were 92.7 (95% CI, 87.9-96.1) and 99.0% (95% CI, 98.1-99.5), respectively. We adjusted prevalence estimates, using bayesian modeling to account for assay performance. Results The crude overall seroprevalence was 19.7% (135 of 684). After adjustment for assay performance, seroprevalence was 20.8% (95% credible interval, 17.5%–24.4%). Seroprevalence varied significantly (P < .001) by site: 43.8% (95% credible interval, 35.8%–52.2%) in Nairobi, 12.6% (8.8%–17.1%) in Busia and 11.5% (7.2%–17.6%) in Kilifi. In a multivariable model controlling for age, sex, and site, professional cadre was not associated with differences in seroprevalence. Conclusion These initial data demonstrate a high seroprevalence of antibodies to SARS-CoV-2 among HCWs in Kenya. There was significant variation in seroprevalence by region, but not by cadre.
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- 2021
14. Population health outcomes in Nigeria compared with other west African countries, 1998-2019: a systematic analysis for the Global Burden of Disease Study
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Blake Angell, Olutobi Sanuade, Ifedayo M O Adetifa, Iruka N Okeke, Aishatu Lawal Adamu, Muktar H Aliyu, Emmanuel A Ameh, Fatima Kyari, Muktar A Gadanya, Diana A Mabayoje, Adesola Yinka-Ogunleye, Tolu Oni, Rabiu Ibrahim Jalo, Fatimah I Tsiga-Ahmed, Sarah L Dalglish, Seye Abimbola, Tim Colbourn, Obinna Onwujekwe, Eme Theodora Owoaje, Gambo Aliyu, Sani H Aliyu, Belinda Archibong, Alex Ezeh, Chikwe Ihekweazu, Zubairu Iliyasu, Stephen Obaro, Ebenezer Babatunde Obadare, Friday Okonofua, Muhammed Pate, Babatunde L Salako, Fatima H Zanna, Scott Glenn, Ally Walker, Maha Ezalarab, Mohsen Naghavi, Ibrahim Abubakar, Oni, Tolu [0000-0003-4499-1910], Apollo - University of Cambridge Repository, Tsiga-Ahmed, Fatimah I [0000-0003-4207-7981], and Abubakar, Ibrahim [0000-0002-0370-1430]
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Male ,Africa, Western ,Life Expectancy ,Population Health ,Infant, Newborn ,Humans ,Nigeria ,Female ,General Medicine ,Global Burden of Disease - Abstract
BACKGROUND: Population-level health and mortality data are crucial for evidence-informed policy but scarce in Nigeria. To fill this gap, we undertook a comprehensive assessment of the burden of disease in Nigeria and compared outcomes to other west African countries. METHODS: In this systematic analysis, using data and results of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, we analysed patterns of mortality, years of life lost (YLLs), years lived with disability (YLDs), life expectancy, healthy life expectancy (HALE), and health system coverage for Nigeria and 15 other west African countries by gender in 1998 and 2019. Estimates of all-age and age-standardised disability-adjusted life-years for 369 diseases and injuries and 87 risk factors are presented for Nigeria. Health expenditure per person and gross domestic product were extracted from the World Bank repository. FINDINGS: Between 1998 and 2019, life expectancy and HALE increased in Nigeria by 18% to 64·3 years (95% uncertainty interval [UI] 62·2-66·6), mortality reduced for all age groups for both male and female individuals, and health expenditure per person increased from the 11th to third highest in west Africa by 2018 (US$18·6 in 2001 to $83·75 in 2018). Nonetheless, relative outcomes remained poor; Nigeria ranked sixth in west Africa for age-standardised mortality, seventh for HALE, tenth for YLLs, 12th for health system coverage, and 14th for YLDs in 2019. Malaria (5176·3 YLLs per 100 000 people, 95% UI 2464·0-9591·1) and neonatal disorders (4818·8 YLLs per 100 000, 3865·9-6064·2) were the leading causes of YLLs in Nigeria in 2019. Nigeria had the fourth-highest under-five mortality rate for male individuals (2491·8 deaths per 100 000, 95% UI 1986·1-3140·1) and female individuals (2117·7 deaths per 100 000, 1756·7-2569·1), but among the lowest mortality for men older than 55 years. There was evidence of a growing non-communicable disease burden facing older Nigerians. INTERPRETATION: Health outcomes remain poor in Nigeria despite higher expenditure since 2001. Better outcomes in countries with equivalent or lower health expenditure suggest health system strengthening and targeted intervention to address unsafe water sources, poor sanitation, malnutrition, and exposure to air pollution could substantially improve population health. FUNDING: The Bill & Melinda Gates Foundation.
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- 2022
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15. The Lancet Nigeria Commission: investing in health and the future of the nation
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Ibrahim Abubakar, Sarah L Dalglish, Blake Angell, Olutobi Sanuade, Seye Abimbola, Aishatu Lawal Adamu, Ifedayo M O Adetifa, Tim Colbourn, Afolabi Olaniyi Ogunlesi, Obinna Onwujekwe, Eme T Owoaje, Iruka N Okeke, Adebowale Adeyemo, Gambo Aliyu, Muktar H Aliyu, Sani Hussaini Aliyu, Emmanuel A Ameh, Belinda Archibong, Alex Ezeh, Muktar A Gadanya, Chikwe Ihekweazu, Vivianne Ihekweazu, Zubairu Iliyasu, Aminatu Kwaku Chiroma, Diana A Mabayoje, Mohammed Nasir Sambo, Stephen Obaro, Adesola Yinka-Ogunleye, Friday Okonofua, Tolu Oni, Olu Onyimadu, Muhammad Ali Pate, Babatunde L Salako, Faisal Shuaib, Fatimah Tsiga-Ahmed, Fatima H Zanna, Abubakar, Ibrahim [0000-0002-0370-1430], Tsiga-Ahmed, Fatimah [0000-0003-4207-7981], Apollo - University of Cambridge Repository, and Oni, Tolu [0000-0003-4499-1910]
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Humans ,Nigeria ,General Medicine - Abstract
Funder: Wellcome Trust, Health is central to the development of any country. Nigeria’s gross domestic product is the largest in Africa, but its per capita income of about ₦770 000 (US$2000) is low with a highly inequitable distribution of income, wealth, and therefore, health. It is a picture of poverty amidst plenty. Nigeria is both a wealthy country and a very poor one. About 40% of Nigerians live in poverty, in social conditions that create ill health, and with the ever-present risk of catastrophic expenditures from high out-of-pocket spending for health. Even compared with countries of similar income levels in Africa, Nigeria’s population health outcomes are poor, with national statistics masking drastic differences between rich and poor, urban and rural populations, and different regions.
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- 2022
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16. COVID-19 transmission dynamics underlying epidemic waves in Kenya
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Kadondi Kasera, James Nyagwange, J. Anthony G. Scott, Samuel Brand, Caroline Mburu, Mark Otiende, John N. Gitonga, Ifedayo M. O. Adetifa, Vincent Were, Matthew James Keeling, Wangari Ng’ang’a, Mercy Mwangangi, Ambrose Agweyu, Nickson Murunga, John Ojal, George Githinji, George M. Warimwe, Sophie Uyoga, Henry K. Karanja, Morris Ogero, Benjamin Tsofa, Lynette Isabella Ochola-Oyier, Edwine Barasa, D. James Nokes, Rabia Aziza, Daisy Mugo, Edward Otieno, Ivy K. Kombe, Emelda A. Okiro, Philip Bejon, Rashid Aman, Patrick Amoth, and Charles N. Agoti
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2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Viral transmission ,Models, Biological ,Article ,law.invention ,Seroepidemiologic Studies ,Policy decision ,law ,Development economics ,Humans ,High population ,Epidemics ,ComputingMilieux_MISCELLANEOUS ,Multidisciplinary ,Incidence ,COVID-19 ,Kenya ,QR ,Transmission (mechanics) ,Geography ,Social Class ,Socioeconomic Factors ,COVID-19 Nucleic Acid Testing ,Communicable Disease Control ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Demographic economics ,Population exposure ,Third wave ,Rural population ,RA - Abstract
Policy decisions on COVID-19 interventions should be informed by a local, regional and national understanding of SARS-CoV-2 transmission. Epidemic waves may result when restrictions are lifted or poorly adhered to, variants with new phenotypic properties successfully invade, or when infection spreads to susceptible sub-populations. Three COVID-19 epidemic waves have been observed in Kenya. Using a mechanistic mathematical model we explain the first two distinct waves by differences in contact rates in high and low social-economic groups, and the third wave by the introduction of a new higher-transmissibility variant. Reopening schools led to a minor increase in transmission between the second and third waves. Our predictions of current population exposure in Kenya (∼75% June 1st) have implications for a fourth wave and future control strategies.One Sentence SummaryCOVID-19 spread in Kenya is explained by mixing heterogeneity and a variant less constrained by high population exposure
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- 2022
17. Knowledge, attitude and practice towards tuberculosis in Gambia: a nation-wide cross-sectional survey
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Lindsay Kendall, Semeeh Akinwale Omoleke, Ifedayo M. O. Adetifa, Ma-Ansu Kinteh, Christopher Linda, Simon Donkor, Baba Danso, Adedapo O Bashorun, Lamin Leigh, Sheriff Kandeh, and Umberto D'Alessandro
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Male ,Health Knowledge, Attitudes, Practice ,medicine.medical_specialty ,Tuberculosis ,Cross-sectional study ,Social Stigma ,030231 tropical medicine ,Psychological intervention ,Survey sampling ,Stigma (botany) ,03 medical and health sciences ,0302 clinical medicine ,Health facility ,Surveys and Questionnaires ,medicine ,Humans ,030212 general & internal medicine ,Aged ,Practice ,business.industry ,Public health ,lcsh:Public aspects of medicine ,Public Health, Environmental and Occupational Health ,lcsh:RA1-1270 ,medicine.disease ,Stigma ,Cross-Sectional Studies ,Knowledge ,Attitude ,Family medicine ,Africa ,Prevalence survey ,Female ,Gambia ,Biostatistics ,business ,Research Article - Abstract
Background Early diagnosis and treatment of tuberculosis (TB) are the mainstay of global and national TB control efforts. However, the gap between expected and reported cases persists for various reasons attributable to the TB services and care-seeking sides of the TB care cascade. Understanding individual and collective perspectives of knowledge, attitudes, beliefs and other social circumstances around TB can inform an evidence-based approach in engaging communities and enhance their participation in TB case detection and treatment. Methods The study was conducted during the Gambian survey of TB prevalence. This was a nationwide cross-sectional multistage cluster survey with 43,100 participants aged ≥15 years in 80 clusters. The study sample, a random selection of 10% of the survey population within each cluster responded to a semi-structured questionnaire administered by trained fieldworkers to assess the knowledge, attitudes and practice of the participants towards TB. Overall knowledge, attitude and practice scores were dichotomised using the computed mean scores and analysed using descriptive, univariable and multivariable logistic regression. Results All targeted participants (4309) were interviewed. Majority were females 2553 (59.2%), married 2614 (60.7%), had some form of education 2457 (57%), and were unemployed 2368 (55%). Although 3617 (83.9%) of the participants had heard about TB, only 2883 (66.9%) were considered to have good knowledge of TB. Overall 3320 (77%) had unfavourable attitudes towards TB, including 1896 (44%) who indicated a preference for staying away from persons with TB rather than helping them. However, 3607(83.7%) appeared to have the appropriate health-seeking behaviours with regard to TB as 4157 (96.5%) of them were willing to go to the health facility if they had symptoms suggestive of TB. Conclusions About 3 in 10 Gambians had poor knowledge on TB, and significant stigma towards TB and persons with TB persists. Interventions to improve TB knowledge and address stigma are required as part of efforts to reduce the burden of undiagnosed TB in the country.
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- 2020
18. Upper airways colonisation of Streptococcus pneumoniae in adults aged 60 years and older: A systematic review of prevalence and individual participant data meta-analysis of risk factors
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Raquel Sá-Leão, Lindsay R. Grant, Dana J. T. Bruden, Shabir A. Madhi, Jamie Rylance, Hugh Adler, Osman Abdullahi, Elisabeth A. M. Sanders, Dodi Safari, Ifedayo M. O. Adetifa, Katherine L O'Brien, Helmia Farida, Omar Ortega, Rama Kandasamy, Sylvia Becker-Dreps, Susanna Esposito, J. Pekka Nuorti, Anna Roca, Prabhu Gounder, Frieder Schaumburg, Grant A. Mackenzie, Susan A. Nzenze, Michelle C. Stanton, India Wheeler, Laura L. Hammitt, Daniela M. Ferreira, Effua Usuf, and Emma L. Smith
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0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,Multivariate analysis ,wt_20 ,030106 microbiology ,Population ,Pneumococcal ,Colonisation ,Adults ,Risk factors ,Disease ,medicine.disease_cause ,Article ,Pneumococcal Infections ,Pneumococcal Vaccines ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Nasopharynx ,Internal medicine ,Streptococcus pneumoniae ,Prevalence ,Humans ,Medicine ,030212 general & internal medicine ,Child ,education ,Aged ,education.field_of_study ,business.industry ,wc_217 ,Odds ratio ,Middle Aged ,wt_100 ,Infectious Diseases ,Carriage ,Meta-analysis ,Carrier State ,qw_142 ,business - Abstract
Highlights • Systematic review and meta-analysis of 18 studies and more than 6000 participants. • Adults over the age of 60 had a pooled prevalence of pneumococcal carriage of 9%. • Risk factors: contact with children, smoking and residing in a nursing home., Summary Background Colonisation with Streptococcus pneumoniae can lead to invasive pneumococcal disease and pneumonia. Pneumococcal acquisition and prevalence of colonisation are high in children. In older adults, a population susceptible to pneumococcal disease, colonisation prevalence is reported to be lower, but studies are heterogeneous. Methods This is a systematic review and meta-analysis of prevalence of, and risk factors for, pneumococcal colonisation in adults ≥ 60 years of age (PROSPERO #42016036891). We identified peer-reviewed studies reporting the prevalence of S. pneumoniae colonisation using MEDLINE and EMBASE (until April 2016), excluding studies of acute disease. Participant-level data on risk factors were sought from each study. Findings Of 2202 studies screened, 29 were analysable: 18 provided participant-level data (representing 6290 participants). Prevalence of detected pneumococcal colonisation was 0–39% by conventional culture methods and 3–23% by molecular methods. In a multivariate analysis, colonisation was higher in persons from nursing facilities compared with the community (odds ratio (OR) 2•30, 95% CI 1•26–4•21 and OR 7•72, 95% CI 1•15–51•85, respectively), in those who were currently smoking (OR 1•69, 95% CI 1•12–2•53) or those who had regular contact with children (OR 1•93, 95%CI 1•27–2•93). Persons living in urban areas had significantly lower carriage prevalence (OR 0•43, 95%CI 0•27–0•70). Interpretation Overall prevalence of pneumococcal colonisation in older adults was higher than expected but varied by risk factors. Future studies should further explore risk factors for colonisation, to highlight targets for focussed intervention such as pneumococcal vaccination of high-risk groups. Funding No funding was required.
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- 2020
19. Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels
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Anthony Etyang, James Nyagwange, Ambrose Agweyu, Ifedayo M. O. Adetifa, John N. Gitonga, Christian Bottomley, George M. Warimwe, Eunice W. Kagucia, David James Nokes, Sophie Uyoga, Daisy Mugo, Henry K. Karanja, Jacob G. Scott, Katherine E. Gallagher, and M. Otiende
- Subjects
Statistical methods ,Coronavirus disease 2019 (COVID-19) ,Epidemiology ,Science ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Population ,General Physics and Astronomy ,Antibody level ,Antibodies, Viral ,Sensitivity and Specificity ,Article ,General Biochemistry, Genetics and Molecular Biology ,COVID-19 Serological Testing ,03 medical and health sciences ,External data ,0302 clinical medicine ,Bias ,Seroepidemiologic Studies ,Statistics ,Humans ,Mixture modelling ,030212 general & internal medicine ,Sensitivity (control systems) ,education ,030304 developmental biology ,Mathematics ,0303 health sciences ,education.field_of_study ,Models, Statistical ,Multidisciplinary ,SARS-CoV-2 ,Infectious-disease diagnostics ,COVID-19 ,General Chemistry ,Mixture model ,Kenya ,QR ,3. Good health ,RA - Abstract
As countries decide on vaccination strategies and how to ease movement restrictions, estimating the proportion of the population previously infected with SARS-CoV-2 is important for predicting the future burden of COVID-19. This proportion is usually estimated from serosurvey data in two steps: first the proportion above a threshold antibody level is calculated, then the crude estimate is adjusted using external estimates of sensitivity and specificity. A drawback of this approach is that the PCR-confirmed cases used to estimate the sensitivity of the threshold may not be representative of cases in the wider population—e.g., they may be more recently infected and more severely symptomatic. Mixture modelling offers an alternative approach that does not require external data from PCR-confirmed cases. Here we illustrate the bias in the standard threshold-based approach by comparing both approaches using data from several Kenyan serosurveys. We show that the mixture model analysis produces estimates of previous infection that are often substantially higher than the standard threshold analysis., The proportion of a population that has previously been infected by a pathogen is typically estimated using antibody thresholds adjusted for sensitivity and specificity. Here, the authors present a model-based alternative to threshold methods which accounts for antibody waning and other sources of spectrum bias.
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- 2021
20. Error in Additional Contributions
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Mark Otiende, Sophie Uyoga, and Ifedayo M. O. Adetifa
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body regions ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,fungi ,Research Letter ,Medicine ,Correction ,General Medicine ,business ,skin and connective tissue diseases ,Virology - Abstract
This study examines the prevalence of SARS-CoV-2 antibodies among blood donors aged 16 to 64 years in Kenya from January to March 2021.
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- 2021
21. Prevalence of SARS-CoV-2 Antibodies From a National Serosurveillance of Kenyan Blood Donors, January-March 2021
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Ambrose Agweyu, J. Anthony G. Scott, Ifedayo M. O. Adetifa, Mark Otiende, George M. Warimwe, Sophie Uyoga, and Christine Yegon
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Adult ,Male ,2019-20 coronavirus outbreak ,Kenya ,Coronavirus disease 2019 (COVID-19) ,Adolescent ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Blood Donors ,Antibodies, Viral ,COVID-19 Serological Testing ,Young Adult ,Seroepidemiologic Studies ,Prevalence ,Medicine ,Humans ,biology ,business.industry ,SARS-CoV-2 ,COVID-19 ,Correction ,General Medicine ,Middle Aged ,Virology ,biology.protein ,Female ,Antibody ,business - Published
- 2021
22. The cost of illness for childhood clinical pneumonia and invasive pneumococcal disease in Nigeria
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John Ojal, Safiya Gambo, Aishatu A Adamu, Ifedayo M. O. Adetifa, Julie Jemutai, Mahmud G Jahun, J. Anthony G. Scott, Boniface Karia, and Musa M. Bello
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business.industry ,Medical record ,medicine.disease ,Pneumococcal conjugate vaccine ,Odds ,Pneumonia ,Economic cost ,Environmental health ,Medicine ,Household income ,business ,Meningitis ,Disease burden ,medicine.drug - Abstract
Background Pneumococcal disease contributes significantly to childhood morbidity and mortality and treatment is costly. Nigeria recently introduced the Pneumococcal Conjugate Vaccine (PCV) to prevent pneumococcal disease. The aim of this study is to estimate health provider and household costs for the treatment of pneumococcal disease in children aged Methods We recruited U5s with clinical pneumonia, pneumococcal meningitis or pneumococcal septicaemia from a tertiary and a secondary level hospital in Kano, Nigeria. We obtained resource utilisation data from medical records to estimate costs of treatment to provider, and household expenses and income loss data from caregiver interviews to estimate costs of treatment to households. We defined catastrophic health expenditure (CHE) as household costs exceeding 25% of monthly household income and estimated the proportion of households that experienced it. We compared CHE across tertiles of household income (from the poorest to least poor). Results Of 480 participants recruited, 244 had outpatient pneumonia, and 236 were hospitalised with pneumonia (117), septicaemia (66) and meningitis (53). Median (IQR) provider costs were US$17 (US$14-22) for outpatients and US$272 (US$271-360) for inpatients. Median household cost was US$51 (US$40-69). Overall, 33% of households experienced CHE, while 53% and 4% of the poorest and least poor households, experienced CHE respectively. The odds of CHE increased with admission at the secondary hospital, a diagnosis of meningitis or septicaemia, higher provider costs, and caregiver having a non-salaried job. Conclusion Provider costs are substantial, and households incur treatment expenses that considerably impact on their income and this is particularly so for the poorest households. Sustaining the PCV programme and ensuring high and equitable coverage to lower disease burden will reduce the economic burden of pneumococcal disease to the healthcare provider and households. What is already known? Children Pneumococcal conjugate vaccine (PCV) was introduced in Nigeria in 2016 to reduce the burden of pneumococcal disease PCV is currently subsidised through Gavi financial support and Nigeria will transition to full self-financing in a few of years There is no contextual evidence in Nigeria on economic burden of IPD to the health system and society that can support longer term investments in PCV when Gavi co-financing terminates What are the new findings? Treatment of one hospitalised episode of pneumococcal disease cost on average, US$300 to the provider, and US$83 to the household with significant variation by clinical syndrome and level of care Overall, a third of the households encountered costs that were catastrophic (i.e., >25% of household income) Burden of CHE varied by household income tertile ranging from 4% in the least poor households (highest income tertile) to 53% in the poorest households (lowest income tertile) Despite the short illness duration, pneumococcal disease syndromes result in huge economic costs to providers and households What do the new findings imply? Sustaining the PCV programme and achieving high PCV coverage has the potential of saving resources at both provider and household level Households are at risk of further impoverishment from catastrophic expenses associated with treatment of pneumococcal disease. This risk can also be significantly reduced by PCV.
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- 2021
23. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data
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John Ojal, Samuel P. C. Brand, Vincent Were, Emelda A. Okiro, Ivy K. Kombe, Caroline Mburu, Rabia Aziza, Morris Ogero, Ambrose Agweyu, George M. Warimwe, Sophie Uyoga, Ifedayo M. O. Adetifa, J. Anthony G. Scott, Edward Otieno, Lynette I. Ochola-Oyier, Charles N. Agoti, Kadondi Kasera, Patrick Amoth, Mercy Mwangangi, Rashid Aman, Wangari Ng’ang’a, Benjamin Tsofa, Philip Bejon, Edwine Barasa, Matt J. Keeling, and D. James Nokes
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Medicine (miscellaneous) ,General Biochemistry, Genetics and Molecular Biology - Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
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- 2021
24. Prevalence of SARS-CoV-2 Antibodies from a one-year National Serosurveillance of Kenyan Blood Transfusion Donors
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Sammy Kihara, Thomas Rotich, Elizabeth Odhiambo, E Wangeci Kagucia, Christian Bottomley, James Nyagwange, Mark Otiende, Kadondi Kasera, Katherine E. Gallagher, J. Anthony G. Scott, Anthony Etyang, Wangari Ng’ang’a, James Tuju, Joseph M. Mwangangi, John N. Gitonga, Daisy Mugo, Johnstone Makale, Philip Bejon, Henry K. Karanja, Nduku Kilonzo, Shirine Voller, Irene Orgut, Lynette Isabella Ochola-Oyier, Edwine Barasa, George M. Warimwe, Benjamin Tsofa, Teresa Lambe, Sophie Uyoga, Evelynn Chege, Patrick Amoth, Christine Yegon, Ifedayo M. O. Adetifa, Rashid Aman, Mercy Mwangangi, Ambrose Agweyu, and Daniel B. Wright
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education.field_of_study ,Kenya ,medicine.medical_specialty ,Blood transfusion ,biology ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,medicine.medical_treatment ,Population ,Distribution (economics) ,Epidemiology ,biology.protein ,medicine ,Seroprevalence ,Antibody ,business ,education ,Demography - Abstract
In tropical Africa, SARS-CoV-2 epidemiology is poorly described because of lack of access to testing and weak surveillance systems. Since April 2020, we followed SARS-CoV-2 seroprevalence in plasma samples across the Kenya National Blood Transfusion Service. We developed an IgG ELISA against full length spike protein. Validated in locally-observed, PCR-positive COVID-19 cases and in pre-pandemic sera, sensitivity was 92.7% and specificity was 99.0%. Using sera from 9,922 donors, we estimated national seroprevalence of SARS-CoV-2 antibodies at 4.3% in April-June 2020 and 9.1% in August-September 2020. Kenya’s second COVID-19 wave peaked in November 2020. Here we estimate national seroprevalence in early 2021.Between January 3 and March 15, 2021, we collected 3,062 samples from donors aged 16-64 years. Among 3,018 samples that met our study criteria, 1,333 were seropositive (crude seroprevalence 44.2%, 95% CI 42.4-46.0%). After Bayesian test-performance adjustment and population weighting to represent the national population distribution, the national estimate of seroprevalence was 48.5% (95% CI 45.2-52.1%). Seroprevalence varied little by age or sex but was higher in Nairobi (61.8%), the capital city, and lower in two rural regions.Almost half of Kenya’s adult donors had evidence of past SARS-CoV-2 infection by March 2021. Although high, the estimate is corroborated by other population-specific estimates in country. Between March and June, 2% of the population were vaccinated against COVID-19 and the country experienced a third epidemic wave. Natural infection is outpacing vaccine delivery substantially in Africa, and this reality needs to be considered as objectives of the vaccine programme are set.
- Published
- 2021
25. Anti-Severe Acute Respiratory Syndrome Coronavirus 2 Immunoglobulin G Antibody Seroprevalence Among Truck Drivers and Assistants in Kenya
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Ifedayo M. O. Adetifa, Kadondi Kasera, David Bulimu, Agnes Mutiso, George M. Warimwe, Edwine Barasa, James Tuju, Shirine Voller, Wangari Ng’ang’a, Wycliffe Moracha, Nelson Andanje, Rashid Aman, Lucy Okubi, Sophie Uyoga, Mark Otiende, Mercy Mwangangi, Katherine E. Gallagher, Benard Ochieng, Anthony Etyang, Eric Ochomo, Eric Maitha, Hossan Ajuck, Catherine Kalu, Ambrose Agweyu, Philip Bejon, John N. Gitonga, Hosea Maroko, Angela Karani, Patrick Amoth, Charles N. Agoti, David Mukabi, Benjamin Tsofa, Henry K. Karanja, Lynette Isabella Ochola-Oyier, J. Anthony G. Scott, Nickline Kuya, Amek Nyaguara, Daisy Mugo, James Nyagwange, E Wangeci Kagucia, Boniface Karia, Christian Bottomley, and Magarini Sub-County TDA SARS-CoV-2 Serosurveillance Team, The Busia County TDA SARS-CoV-2 Serosurveillance Team
- Subjects
0301 basic medicine ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,viruses ,medicine.disease_cause ,Immunoglobulin G ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Pandemic ,medicine ,Seroprevalence ,030212 general & internal medicine ,Coronavirus ,biology ,business.industry ,SARS-CoV-2 ,virus diseases ,Kenya ,antibody seroprevalence ,030104 developmental biology ,Infectious Diseases ,Increased risk ,AcademicSubjects/MED00290 ,Oncology ,frontline workers ,biology.protein ,Brief Reports ,truck drivers ,Antibody ,business ,human activities - Abstract
In October 2020, anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G seroprevalence among truck drivers and their assistants (TDA) in Kenya was 42.3%, higher than among healthcare workers and blood donors. Truck drivers and their assistants transport essential supplies during the coronavirus disease 2019 pandemic, placing them at increased risk of being infected and of transmitting SARS-CoV-2 over a wide geographical area.
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- 2021
26. Improving SARS-CoV-2 cumulative incidence estimation through mixture modelling of antibody levels
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James Nyagwange, John N. Gitonga, Sophie Uyoga, E Wangeci Kagucia, Henry K. Karanja, George M. Warimwe, Daisy Mugo, Anthony Etyang, Katherine E. Gallagher, Christian Bottomley, Mark Otiende, D. James Nokes, Ambrose Agweyu, Ifedayo M. O. Adetifa, and J. Anthony G. Scott
- Subjects
Estimation ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Statistics ,Seroprevalence ,Medicine ,Mixture modelling ,Antibody level ,Cumulative incidence ,business ,Mixture model - Abstract
As countries decide on vaccination strategies and how to ease movement restrictions, estimates of cumulative incidence of SARS-CoV-2 infection are essential in quantifying the extent to which populations remain susceptible to COVID-19. Cumulative incidence is usually estimated from seroprevalence data, where seropositives are defined by an arbitrary threshold antibody level, and adjusted for sensitivity and specificity at that threshold. This does not account for antibody waning nor for lower antibody levels in asymptomatic or mildly symptomatic cases. Mixture modelling can estimate cumulative incidence from antibody-level distributions without requiring adjustment for sensitivity and specificity. To illustrate the bias in standard threshold-based seroprevalence estimates, we compared both approaches using data from several Kenyan serosurveys. Compared to the mixture model estimate, threshold analysis underestimated cumulative incidence by 31% (IQR: 11 to 41) on average. Until more discriminating assays are available, mixture modelling offers an approach to reduce bias in estimates of cumulative incidence.One-Sentence SummaryMixture models reduce biases inherent in the standard threshold-based analysis of SARS-CoV-2 serological data.
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- 2021
27. Seroprevalence of Antibodies to SARS-CoV-2 among Health Care Workers in Kenya
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Anthony Etyang, Leonard Ndwiga, Catherine Kalu, J. Anthony G. Scott, Wycliffe Moracha, Kadondi Kasera, Namdala Emukule, Daisy Mugo, Edward Otieno, Monicah Ogutu, Eddy Nzomo, Lucy B. Ochola, Wangari Ng’ang’a, Rashid Aman, Katherine E. Gallagher, Sophie Uyoga, James Nyagwange, Eric Maitha, Sande Charo, Thuranira Kaugiria, Justus Weru, Angela Karani, Evanson Kamuri, Barrack Angujo, Philip Bejon, David Mukabi, Ifedayo M. O. Adetifa, John N. Gitonga, Mark Otiende, Shirine Voller, Benjamin Tsofa, Rosemary Okuku, E Wangeci Kagucia, George M. Warimwe, Patrick Amoth, Christian Bottomley, Charles N. Agoti, Amek Nyaguara, Edwine Barasa, Shadrack Mutua, David James Nokes, Ruth Lucinde, Henry K. Karanja, Mercy Mwangangi, Lynette Isabella Ochola-Oyier, James Tuju, Ambrose Agweyu, Perpetual Wanjiku, Hosea Maroko, and Nelson Kilimo
- Subjects
2019-20 coronavirus outbreak ,biology ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Spike Protein ,Assay sensitivity ,Health care ,biology.protein ,Seroprevalence ,Medicine ,Multivariable model ,Antibody ,business ,Demography - Abstract
BackgroundFew studies have assessed the seroprevalence of antibodies against SARS-CoV-2 among Health Care Workers (HCWs) in Africa. We report findings from a survey among HCWs in three counties in Kenya.MethodsWe recruited 684 HCWs from Kilifi (rural), Busia (rural) and Nairobi (urban) counties. The serosurvey was conducted between 30th July 2020 and 4th December 2020. We tested for IgG antibodies to SARS-CoV-2 spike protein using ELISA. Assay sensitivity and specificity were 93% (95% CI 88-96%) and 99% (95% CI 98-99.5%), respectively. We adjusted prevalence estimates using Bayesian modeling to account for assay performance.ResultsCrude overall seroprevalence was 19.7% (135/684). After adjustment for assay performance seroprevalence was 20.8% (95% CI 17.5-24.4%). Seroprevalence varied significantly (pConclusionThese initial data demonstrate a high seroprevalence of antibodies to SARS-CoV-2 among HCWs in Kenya. There was significant variation in seroprevalence by region, but not by cadre.
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- 2021
28. Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya
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Henry K. Karanja, Lynette Isabella Ochola-Oyier, Sammy Kihara, Patrick Amoth, Anthony Etyang, Edwine Barasa, Christine Yegon, James Nyagwange, James Tuju, Shirine Voller, Kadondi Kasera, Wangari Ng’ang’a, Thomas Rotich, Charles Rombo, Teresa Lambe, Mark Otiende, Christian Bottomley, George M. Warimwe, Sophie Uyoga, J. Anthony G. Scott, Katherine E. Gallagher, Elizabeth Odhiambo, Khamisi Kithi, Rashid Aman, Philip Bejon, John N. Gitonga, Mercy Mwangangi, Irene Orgut, Ifedayo M. O. Adetifa, Ambrose Agweyu, Perpetual Wanjiku, Daniel B. Wright, Eunice W. Kagucia, Daisy Mugo, and Benjamin Tsofa
- Subjects
Male ,Epidemiology ,viruses ,General Physics and Astronomy ,Antibodies, Viral ,law.invention ,0302 clinical medicine ,law ,Seroepidemiologic Studies ,Prevalence ,030212 general & internal medicine ,skin and connective tissue diseases ,Multidisciplinary ,virus diseases ,Middle Aged ,3. Good health ,Transmission (mechanics) ,Geography ,Spike Glycoprotein, Coronavirus ,Test performance ,Female ,Adult ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Adolescent ,Science ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,030231 tropical medicine ,Enzyme-Linked Immunosorbent Assay ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Young Adult ,Population screening ,Seroprevalence ,Humans ,Epidemics ,Viral immunology ,SARS-CoV-2 ,fungi ,COVID-19 ,Bayes Theorem ,General Chemistry ,biochemical phenomena, metabolism, and nutrition ,Kenya ,body regions ,Viral infection ,Immunoglobulin G ,Demography - Abstract
Observed SARS-CoV-2 infections and deaths are low in tropical Africa raising questions about the extent of transmission. We measured SARS-CoV-2 IgG by ELISA in 9,922 blood donors across Kenya and adjusted for sampling bias and test performance. By 1st September 2020, 577 COVID-19 deaths were observed nationwide and seroprevalence was 9.1% (95%CI 7.6-10.8%). Seroprevalence in Nairobi was 22.7% (18.0-27.7%). Although most people remained susceptible, SARS-CoV-2 had spread widely in Kenya with apparently low associated mortality., The reported burden of SARS-CoV-2 has been relatively low in tropical Africa compared to Europe and the Americas, but estimating true infection rates is challenging. Here, the authors screen blood donors in Kenya for SARS-CoV-2 antibodies and describe spatiotemporal seroprevalence dynamics.
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- 2021
29. Seroprevalence of anti-SARS-CoV-2 IgG antibodies among truck drivers and assistants in Kenya
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Mercy Mwangangi, Rashid Aman, Christian Bottomley, Simon Oteba, Lucy Okubi, Samson Mwambire, Patrick Msili, Eric Maitha, Evans Shiraku, Rosemary Okuku, Kadondi Kasera, Benjamin Tsofa, Janet Mwikali, Benson K Kiplagat, Catherine Kalu, Tobias Munabi, Eric Ochomo, Hossan Ajuck, Julius Omengo, John N. Gitonga, Ifedayo M. O. Adetifa, Shirine Voller, J. Anthony G. Scott, Nickline Kuya, Edwine Barasa, James Tuju, Anthony M Boniface, Susan M Ramadhan, Benard Ochieng, Agnes Mutiso, George Karisa, Ambrose Agweyu, George M. Warimwe, Katherine E. Gallagher, Wycliffe Moracha, Nelson Andanje, Hosea Maroko, David Bulimu, Philip Bejon, Sophie Uyoga, Wangari Ng’ang’a, Anthony Etyang, Rodgers Mariga, Roselyne Nechesa, Mary Bogita, Arthur Mwangi, Patrick Amoth, Amek Nyaguara, James Nyagwange, Charles N. Agoti, Mark Otiende, Angela Karani, David Mukabi, Rose Nasike, Dorcas Mkanyi, Richmond Mudindi, Cornelius Andera, E Wangeci Kagucia, Boniface Karia, Daisy Mugo, Monicah Ogutu, Judith K Migosi, Henry K. Karanja, and Lynette Isabella Ochola-Oyier
- Subjects
2019-20 coronavirus outbreak ,Increased risk ,biology ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pandemic ,biology.protein ,Medicine ,Seroprevalence ,Antibody ,business ,Virology - Abstract
In October 2020, anti-SARS-CoV-2 IgG seroprevalence among truck drivers and their assistants (TDA) in Kenya was 42.3%, higher than among other key populations. TDA transport essential supplies during the COVID-19 pandemic, placing them at increased risk of being infected and of transmitting SARS-CoV-2 infection over a wide geographical area.
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- 2021
30. Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya
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Kadondi Kasera, Mercy Mwangangi, Anthony Etyang, Sammy Kihara, Shirine Voller, Ambrose Agweyu, Christian Bottomley, Perpetual Wanjiku, Irene Orgut, John N. Gitonga, J. Anthony G. Scott, Henry K. Karanja, Sophie Uyoga, Lynette Isabella Ochola-Oyier, Daniel B. Wright, Edwine Barasa, Elizabeth Odhiambo, James Nyagwange, Ifedayo M. O. Adetifa, Rashid Aman, George M. Warimwe, James Tuju, Benjamin Tsofa, Katherine E. Gallagher, Khamisi Kithi, Thomas Rotich, Eunice W. Kagucia, Wangari Ng’ang’a, Patrick Amoth, Philip Bejon, Daisy Mugo, Mark Otiende, Christine Yegon, Charles Rombo, and Teresa Lambe
- Subjects
Transmission (mechanics) ,Coronavirus disease 2019 (COVID-19) ,business.industry ,law ,Environmental health ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,virus diseases ,Medicine ,Seroprevalence ,Test performance ,business ,law.invention ,Sampling bias - Abstract
Observed SARS-CoV-2 infections and deaths are low in tropical Africa raising questions about the extent of transmission. We measured SARS-CoV-2 IgG by ELISA in 9,922 blood donors across Kenya and adjusted for sampling bias and test performance. By 1st September 2020, 577 COVID-19 deaths were observed nationwide and seroprevalence was 9.1% (95%CI 7.6-10.8%). Seroprevalence in Nairobi was 22.7% (18.0-27.7%). Although most people remained susceptible, SARS-CoV-2 had spread widely in Kenya with apparently low associated mortality.
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- 2021
31. Seroprevalence of anti–SARS-CoV-2 IgG antibodies in Kenyan blood donors
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Elizabeth Odhiambo, Irene Orgut, Kadondi Kasera, George M. Warimwe, Ifedayo M. O. Adetifa, Shirine Voller, Christine Yegon, Wangari Ng’ang’a, Leonard Ndwiga, Christian Bottomley, Eunice W. Kagucia, Mark Otiende, Edwine Barasa, James Nyagwange, Charles Rombo, Teresa Lambe, Anthony Etyang, Ambrose Agweyu, Perpetual Wanjiku, J. Anthony G. Scott, Sophie Uyoga, Khamisi Kithi, James Tuju, Thomas Rotich, Daisy Mugo, Edward Otieno, Sammy Kihara, Daniel B. Wright, Zonia N. Mupe, Katherine E. Gallagher, Patrick Amoth, Charles N. Agoti, John N. Gitonga, Philip Bejon, Rashid Aman, Mercy Mwangangi, Henry K. Karanja, Lynette Isabella Ochola-Oyier, and Benjamin Tsofa
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Adult ,0301 basic medicine ,Complete data ,Kenya ,medicine.medical_specialty ,Adolescent ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Population ,Blood Donors ,Antibodies, Viral ,Immunoglobulin G ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Medical microbiology ,Seroepidemiologic Studies ,Environmental health ,Pandemic ,Epidemiology ,Global health ,medicine ,Humans ,Seroprevalence ,030212 general & internal medicine ,education ,Aged ,education.field_of_study ,Multidisciplinary ,biology ,SARS-CoV-2 ,business.industry ,Outbreak ,virus diseases ,COVID-19 ,Middle Aged ,Multilevel regression ,Confidence interval ,030104 developmental biology ,Communicable Disease Control ,biology.protein ,Antibody ,business ,Demography - Abstract
BackgroundThere are no data on SARS-CoV-2 seroprevalence in Africa though the COVID-19 epidemic curve and reported mortality differ from patterns seen elsewhere. We estimated the anti-SARS-CoV-2 antibody prevalence among blood donors in Kenya.MethodsWe measured anti-SARS-CoV-2 spike IgG prevalence by ELISA on residual blood donor samples obtained between April 30 and June 16, 2020. Assay sensitivity and specificity were 83% (95% CI 59-96%) and 99.0% (95% CI 98.1-99.5%), respectively. National seroprevalence was estimated using Bayesian multilevel regression and post-stratification to account for non-random sampling with respect to age, sex and region, adjusted for assay performance.ResultsComplete data were available for 3098 of 3174 donors, aged 15-64 years. By comparison with the Kenyan population, the sample over- represented males (82% versus 49%), adults aged 25-34 years (40% versus 27%) and residents of coastal Counties (49% versus 9%). Crude overall seroprevalence was 5.6% (174/3098). Population-weighted, test- adjusted national seroprevalence was 5.2% (95% CI 3.7– 7.1%). Seroprevalence was highest in the 3 largest urban Counties - Mombasa (9.3% [95% CI 6.4-13.2%)], Nairobi (8.5% [95% CI 4.9-13.5%]) and Kisumu (6.5% [95% CI 3.3-11.2%]).ConclusionsWe estimate that 1 in 20 adults in Kenya had SARS-CoV-2 antibodies during the study period. By the median date of our survey, only 2093 COVID-19 cases and 71 deaths had been reported through the national screening system. This contrasts, by several orders of magnitude, with the numbers of cases and deaths reported in parts of Europe and America when seroprevalence was similar.
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- 2020
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32. Revealing the extent of the COVID-19 pandemic in Kenya based on serological and PCR-test data
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Patrick Amoth, Charles N. Agoti, Wangari Ng’ang’a, John Ojal, Kadondi Kasera, Ifedayo M. O. Adetifa, Vincent Were, Mercy Mwangangi, Samuel Brand, Rashid Aman, Philip Bejon, Caroline Mburu, Matthew James Keeling, Ivy K. Kombe, Emelda A. Okiro, Benjamin Tsofa, Morris Ogero, J. Anthony G. Scott, Edward Otieno, George M. Warimwe, Rabia Aziza, Lynette Isabella Ochola-Oyier, Ambrose Agweyu, Sophe Uyoga, Edwine Barasa, and D. James Nokes
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Geography ,Coronavirus disease 2019 (COVID-19) ,Pcr test ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Environmental health ,Pandemic ,Disease burden ,Serology - Abstract
Policy makers in Africa need robust estimates of the current and future spread of SARS-CoV-2. Data suitable for this purpose are scant. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya. We estimate that the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 34 - 41% of residents infected, and will peak elsewhere in the country within 2-3 months. Despite this penetration, reported severe cases and deaths are low. Our analysis suggests the COVID-19 disease burden in Kenya may be far less than initially feared. A similar scenario across sub-Saharan Africa would have implications for balancing the consequences of restrictions with those of COVID-19.
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- 2020
33. Impact of the introduction of rotavirus vaccine on hospital admissions for diarrhoea among children in Kenya : a controlled interrupted time series analysis
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Betty E Owor, Yaw Addo, Collins Tabu, Sammy Khagayi, D. James Nokes, Richard Omore, Umesh D. Parashar, Clayton Onyango, Jacqueline E. Tate, Jason M. Mwenda, Billy Ogwel, Godfrey Bigogo, Tuck Britton, Robert F. Breiman, Grieven P. Otieno, Christian Bottomley, Ifedayo M. O. Adetifa, Jane Juma, John B. Ochieng, Mwanajuma Ngama, and Jennifer R. Verani
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Microbiology (medical) ,education.field_of_study ,Pediatrics ,medicine.medical_specialty ,business.industry ,RJ ,Incidence (epidemiology) ,Population ,medicine.disease_cause ,Rotavirus vaccine ,Confidence interval ,Interrupted Time Series Analysis ,QR ,Diarrhea ,Infectious Diseases ,Rotavirus ,medicine ,medicine.symptom ,education ,business ,Health worker ,RA - Abstract
Background Monovalent rotavirus vaccine, Rotarix (GlaxoSmithKline), was introduced in Kenya in July 2014 and is recommended to infants as oral doses at ages 6 and 10 weeks. A multisite study was established in 2 population-based surveillance sites to evaluate vaccine impact on the incidence of rotavirus-associated hospitalizations (RVHs). Methods Hospital-based surveillance was conducted from January 2010 to June 2017 for acute diarrhea hospitalizations among children aged Results Between January 2010 and June 2017 there were 1513 and 1652 diarrhea hospitalizations in Kilifi and Siaya; among those tested for rotavirus, 28% (315/1142) and 23% (197/877) were positive, respectively. There was a 57% (95% confidence interval [CI], 8–80%) reduction in RVHs observed in the first year post–vaccine introduction in Kilifi and a 59% (95% CI, 20–79%) reduction in Siaya. In the second year, RVHs decreased further at both sites, 80% (95% CI, 46–93%) reduction in Kilifi and 82% reduction in Siaya (95% CI. 61–92%); this reduction was sustained at both sites into the third year. Conclusions A substantial reduction in RVHs and all-cause diarrhea was observed in 2 demographic surveillance sites in Kenya within 3 years of vaccine introduction.
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- 2020
34. Non-tuberculous Mycobacteria isolated from Pulmonary samples in sub-Saharan Africa - A Systematic Review and Meta Analyses
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Martin Antonio, Catherine Okoi, Ifedayo M. O. Adetifa, Suzanne T. Anderson, Florian Gehre, and Sarah Mulwa
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Lung Diseases ,medicine.medical_specialty ,Pathology ,Tuberculosis ,030231 tropical medicine ,MEDLINE ,Mycobacterium Infections, Nontuberculous ,lcsh:Medicine ,Disease ,Article ,Diagnosis, Differential ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Epidemiology ,parasitic diseases ,medicine ,Prevalence ,Humans ,Clinical significance ,030212 general & internal medicine ,lcsh:Science ,Tuberculosis, Pulmonary ,Africa South of the Sahara ,Multidisciplinary ,business.industry ,Diagnostic Tests, Routine ,Public health ,lcsh:R ,Nontuberculous Mycobacteria ,medicine.disease ,bacterial infections and mycoses ,Publisher Correction ,3. Good health ,Infectious disease (medical specialty) ,Meta-analysis ,lcsh:Q ,business - Abstract
Pulmonary non-tuberculous mycobacterial (NTM) disease epidemiology in sub-Saharan Africa is not as well described as for pulmonary tuberculosis. Earlier reviews of global NTM epidemiology only included subject-level data from one sub-Saharan Africa country. We systematically reviewed the literature and searched PubMed, Embase, Popline, OVID and Africa Wide Information for articles on prevalence and clinical relevance of NTM detection in pulmonary samples in sub-Saharan Africa. We applied the American Thoracic Society/Infectious Disease Society of America criteria to differentiate between colonisation and disease. Only 37 articles from 373 citations met our inclusion criteria. The prevalence of pulmonary NTM colonization was 7.5% (95% CI: 7.2%–7.8%), and 75.0% (2325 of 3096) occurred in males, 16.5% (512 of 3096) in those previously treated for tuberculosis and Mycobacterium avium complex predominated (27.7% [95% CI: 27.2–28.9%]). In seven eligible studies, 27.9% (266 of 952) of participants had pulmonary NTM disease and M. kansasii with a prevalence of 69.2% [95% CI: 63.2–74.7%] was the most common cause of pulmonary NTM disease. NTM species were unidentifiable in 29.2% [2,623 of 8,980] of isolates. In conclusion, pulmonary NTM disease is a neglected and emerging public health disease and enhanced surveillance is required.
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- 2017
35. Mycobacterium tuberculosis Infection in Close Childhood Contacts of Adults with Pulmonary Tuberculosis is Increased by Secondhand Exposure to Tobacco
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Simon Donkor, Ifedayo M. O. Adetifa, Patrick K. Owiafe, Abdulrahman S. Hammond, Martin O. C. Ota, Philip C. Hill, Moses D. Lugos, Roger H. Brookes, and Lindsay Kendall
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medicine.medical_specialty ,Tuberculosis ,medicine.medical_treatment ,030231 tropical medicine ,Interferon gamma release assay ,Disease ,Mycobacterium tuberculosis ,03 medical and health sciences ,0302 clinical medicine ,Virology ,Internal medicine ,medicine ,030212 general & internal medicine ,Risk factor ,biology ,Transmission (medicine) ,business.industry ,Articles ,Odds ratio ,medicine.disease ,biology.organism_classification ,Infectious Diseases ,Immunology ,Smoking cessation ,Parasitology ,business - Abstract
Tobacco use is a major risk factor for tuberculosis (TB). Secondhand smoke (SHS) is also a risk factor for TB and to a lesser extent, Mycobacterium tuberculosis infection without disease. We investigated the added risk of M. tuberculosis infection due to SHS exposure in childhood contacts of TB cases in The Gambia. Participants were childhood household contacts aged ≤ 14 years of newly diagnosed pulmonary TB (PTB) cases. The intensity of exposure to the case was categorized according to whether contacts slept in the same room, same house, or a different house as the case. Contacts were tested with an enzyme-linked immunospot interferon gamma release assay. In multivariate regression models, M. tuberculosis infection was associated with increasing exposure to a case (odds ratios [OR]: 3.9, 95% confidence interval [CI]: 2.11–71.4, P < 0.001]) and with male gender (OR: 1.5 [95% CI: 1.12–2.11], P = 0.008). Tobacco use caused a 3-fold increase in the odds of M. tuberculosis infection in children who slept closest to a case who smoked within the same home compared with a nonsmoking case (OR: 8.0 [95% CI: 2.74–23.29] versus 2.4 [95% CI: 1.17–4.92], P < 0.001). SHS exposure as an effect modifier appears to greatly increase the risk of M. tuberculosis infection in children exposed to PTB cases. Smoking cessation campaigns may be important for reducing transmission of M. tuberculosis to children within households.
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- 2017
36. Sustained reduction in vaccine-type invasive pneumococcal disease despite waning effects of a catch-up campaign in Kilifi, Kenya: A mathematical model based on pre-vaccination data
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John Ojal, Laura L. Hammitt, Stefan Flasche, Kari Auranen, Donald Akech, Moses C. Kiti, Tatu Kamau, Markku Nurhonen, Ifedayo M. O. Adetifa, and J. Anthony G. Scott
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Serotype ,Male ,Pediatrics ,medicine.medical_specialty ,Pneumococcal disease ,030231 tropical medicine ,Population ,Serogroup ,ta3111 ,Pneumococcal conjugate vaccine ,Article ,Pneumococcal Infections ,Pneumococcal Vaccines ,03 medical and health sciences ,0302 clinical medicine ,Mathematical model ,Nasopharynx ,Nasopharyngeal carriage ,Medicine ,Humans ,030212 general & internal medicine ,education ,education.field_of_study ,ta112 ,General Veterinary ,General Immunology and Microbiology ,business.industry ,Incidence (epidemiology) ,Vaccination ,Public Health, Environmental and Occupational Health ,Infant ,Models, Theoretical ,ta3121 ,Kenya ,3. Good health ,Regimen ,Infectious Diseases ,Carriage ,Streptococcus pneumoniae ,Child, Preschool ,Carrier State ,Epidemiological Monitoring ,Molecular Medicine ,Female ,business ,medicine.drug - Abstract
Highlights • We predict a substantial decline in the carriage prevalence of vaccine serotypes. • About a 56% reduction in invasive pneumococcal disease is also predicted. • The decline is predicted to be sustainable ten years post-vaccination. • The current vaccination schedule is unlikely to achieve elimination of vaccine serotypes., Background In 2011, Kenya introduced the 10-valent pneumococcal conjugate vaccine together with a catch-up campaign for children aged
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- 2017
37. Observational study: 27 years of severe malaria surveillance in Kilifi, Kenya
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John Fondo, J. Anthony G. Scott, Philip Bejon, Patricia Njuguna, Daniel Mwanga, Ifedayo M. O. Adetifa, Shebe Mohammed, Gabriel Mwambingu, Caroline Ngetsa, Faith H. A. Osier, Neema Mturi, Charles R. Newton, James A. Berkley, Brett Lowe, Sarah H. Atkinson, Polycarp Mogeni, Benjamin Tsofa, Mainga Hamaluba, Amek Nyaguara, Norbert Peshu, Anisa Omar, Thomas N. Williams, Kathryn Maitland, Robert W. Snow, Kenedy Awuondo, Kevin Marsh, and Wellcome Trust
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Male ,Pediatrics ,medicine.medical_specialty ,Malaria, Cerebral ,lcsh:Medicine ,law.invention ,03 medical and health sciences ,Severe malaria ,0302 clinical medicine ,law ,Risk Factors ,General & Internal Medicine ,parasitic diseases ,Risk of mortality ,medicine ,Humans ,030212 general & internal medicine ,Prospective Studies ,Risk factor ,Mortality ,Malaria, Falciparum ,11 Medical and Health Sciences ,biology ,business.industry ,lcsh:R ,Infant ,Plasmodium falciparum ,General Medicine ,Longitudinal surveillance ,biology.organism_classification ,medicine.disease ,Kenya ,Confidence interval ,3. Good health ,Secular trend ,Observational Studies as Topic ,Transmission (mechanics) ,Cerebral Malaria ,Child, Preschool ,Africa ,Observational study ,Female ,business ,030217 neurology & neurosurgery ,Malaria ,Research Article - Abstract
Background Many parts of Africa have witnessed reductions in Plasmodium falciparum transmission over the last 15 years. Since immunity to malaria is acquired more rapidly at higher transmission, the slower acquisition of immunity at lower transmission may partially offset the benefits of reductions in transmission. We examined the clinical spectrum of disease and predictors of mortality after sustained changes in transmission intensity, using data collected from 1989 to 2016. Methods We conducted a temporal observational analysis of 18,000 children, aged 14 days to 14 years old, who were admitted to Kilifi County Hospital, Kenya, from 1989 to 2016 with malaria. We describe the trends over time of the clinical and laboratory criteria for severe malaria and associated risk of mortality. Results During the time periods 1989–2003, 2004–2008, and 2009–2016, Kilifi County Hospital admitted averages of 657, 310, and 174 cases of severe malaria per year including averages of 48, 14, and 12 malaria-associated deaths per year, respectively. The median ages in years of children admitted with cerebral malaria, severe anaemia, and malaria-associated mortality were 3.0 (95% confidence interval (CI) 2.2–3.9), 1.1 (95% CI 0.9–1.4), and 1.1 (95% CI 0.3–2.2) in the year 1989, rising to 4.9 (95% CI 3.9–5.9), 3.8 (95% CI 2.5–7.1), and 5 (95% CI 3.3–6.3) in the year 2016. The ratio of children with cerebral malaria to severe anaemia rose from 1:2 before 2004 to 3:2 after 2009. Hyperparasitaemia was a risk factor for death after 2009 but not in earlier time periods. Conclusion Despite the evidence of slower acquisition of immunity, continued reductions in the numbers of cases of severe malaria resulted in lower overall mortality. Our temporal data are limited to a single site, albeit potentially applicable to a secular trend present in many parts of Africa. Electronic supplementary material The online version of this article (10.1186/s12916-019-1359-9) contains supplementary material, which is available to authorized users.
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- 2019
38. Sustaining pneumococcal vaccination after transitioning from Gavi support: a modelling and cost-effectiveness study in Kenya
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Stefan Flasche, John Ojal, J. Anthony G. Scott, Laura L. Hammitt, Donald Akech, Ifedayo M. O. Adetifa, Ulla Griffiths, and Collins Tabu
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Kenya ,Cost effectiveness ,Cost-Benefit Analysis ,International Cooperation ,030231 tropical medicine ,Pneumococcal conjugate vaccine ,Pneumococcal Infections ,Pneumococcal Vaccines ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Per capita ,Medicine ,Healthcare Financing ,Humans ,030212 general & internal medicine ,health care economics and organizations ,Cost–benefit analysis ,business.industry ,Immunization Programs ,Incidence (epidemiology) ,lcsh:Public aspects of medicine ,1. No poverty ,lcsh:RA1-1270 ,General Medicine ,Health Care Costs ,3. Good health ,Quality-adjusted life year ,Vaccination ,Models, Economic ,Child, Preschool ,Quality-Adjusted Life Years ,business ,medicine.drug - Abstract
Summary Background In 2009, Gavi, the World Bank, and donors launched the pneumococcal Advance Market Commitment, which helped countries access more affordable pneumococcal vaccines. As many low-income countries begin to reach the threshold at which countries transition from Gavi support to self-financing (3-year average gross national income per capita of US$1580), they will need to consider whether to continue pneumococcal conjugate vaccine (PCV) use at full cost or to discontinue PCV in their childhood immunisation programmes. Using Kenya as a case study, we assessed the incremental cost-effectiveness of continuing PCV use. Methods In this modelling and cost-effectiveness study, we fitted a dynamic compartmental model of pneumococcal carriage to annual carriage prevalence surveys and invasive pneumococcal disease (IPD) incidence in Kilifi, Kenya. We predicted disease incidence and related mortality for either continuing PCV use beyond 2022, the start of Kenya's transition from Gavi support, or its discontinuation. We calculated the costs per disability-adjusted life-year (DALY) averted and associated 95% prediction intervals (PI). Findings We predicted that if PCV use is discontinued in Kenya in 2022, overall IPD incidence will increase from 8·5 per 100 000 in 2022, to 16·2 per 100 000 per year in 2032. Continuing vaccination would prevent 14 329 (95% PI 6130–25 256) deaths and 101 513 (4386–196 674) disease cases during that time. Continuing PCV after 2022 will require an estimated additional US$15·8 million annually compared with discontinuing vaccination. We predicted that the incremental cost per DALY averted of continuing PCV would be $153 (95% PI 70–411) in 2032. Interpretation Continuing PCV use is essential to sustain its health gains. Based on the Kenyan GDP per capita of $1445, and in comparison to other vaccines, continued PCV use at full costs is cost-effective (on the basis of the assumption that any reduction in disease will translate to a reduction in mortality). Although affordability is likely to be a concern, our findings support an expansion of the vaccine budget in Kenya. Funding Wellcome Trust and Gavi, the Vaccine Alliance.
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- 2019
39. Effect of 10-valent pneumococcal conjugate vaccine on the incidence of radiologically-confirmed pneumonia and clinically-defined pneumonia in Kenyan children: an interrupted time-series analysis
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Thomas N. Williams, Anne Makumi, J. Anthony G. Scott, Rachel Benamore, Shahnaaz K Sharif, Orin S. Levine, Maria Deloria Knoll, Stanley Kagwanja, Sylvester Safari, Victor Ochola, Kathryn Maitland, Kate Park, Laura L. Hammitt, Tahreni Bwanaali, Kevin Marsh, Christian Bottomley, Ifedayo M. O. Adetifa, James Ignas, Micah Silaba, Neema Mturi, Michael Ooko, Tatu Kamau, Evasius Bauni, Fergus V. Gleeson, Joyce Sande, Mark Otiende, and Wellcome Trust
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Male ,Serotype ,Kenya ,Pediatrics ,medicine.medical_specialty ,030231 tropical medicine ,Population ,medicine.disease_cause ,Pneumococcal Infections ,Article ,1117 Public Health and Health Services ,Interrupted Time Series Analysis ,Haemophilus influenzae ,Pneumococcal Vaccines ,03 medical and health sciences ,0302 clinical medicine ,Conjugate vaccine ,medicine ,Humans ,030212 general & internal medicine ,Child ,education ,education.field_of_study ,business.industry ,lcsh:Public aspects of medicine ,Incidence ,Incidence (epidemiology) ,Infant ,lcsh:RA1-1270 ,Pneumonia ,General Medicine ,medicine.disease ,3. Good health ,Child, Preschool ,Female ,business ,0605 Microbiology - Abstract
Background Pneumococcal conjugate vaccines (PCV) are highly protective against invasive pneumococcal disease caused by vaccine serotypes, but the burden of pneumococcal disease in low-income and middle-income countries is dominated by pneumonia, most of which is non-bacteraemic. We examined the effect of 10-valent PCV on the incidence of pneumonia in Kenya. Methods We linked prospective hospital surveillance for clinically-defined WHO severe or very severe pneumonia at Kilifi County Hospital, Kenya, from 2002 to 2015, to population surveillance at Kilifi Health and Demographic Surveillance System, comprising 45 000 children younger than 5 years. Chest radiographs were read according to a WHO standard. A 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine (PCV10) was introduced in Kenya in January, 2011. In Kilifi, there was a three-dose catch-up campaign for infants (aged Findings Between May 1, 2002 and March 31, 2015, 44 771 children aged 2–143 months were admitted to Kilifi County Hospital. We excluded 810 admissions between January and March, 2011, and 182 admissions during nurses' strikes. In 2002–03, the incidence of admission with clinically-defined pneumonia was 2170 per 100 000 in children aged 2–59 months. By the end of the catch-up campaign in 2011, 4997 (61·1%) of 8181 children aged 2–11 months had received at least two doses of PCV10 and 23 298 (62·3%) of 37 416 children aged 12–59 months had received at least one dose. Across the 13 years of surveillance, the incidence of clinically-defined pneumonia declined by 0·5% per month, independent of vaccine introduction. There was no secular trend in the incidence of radiologically-confirmed pneumonia over 8 years of study. After adjustment for secular trend and season, incidence rate ratios for admission with radiologically-confirmed pneumonia, clinically-defined pneumonia, and diarrhoea (control condition), associated temporally with PCV10 introduction and the catch-up campaign, were 0·52 (95% CI 0·32–0·86), 0·73 (0·54–0·97), and 0·63 (0·31–1·26), respectively. Immediately before PCV10 was introduced, the annual incidence of clinically-defined pneumonia was 1220 per 100 000; this value was reduced by 329 per 100 000 at the point of PCV10 introduction. Interpretation Over 13 years, admissions to Kilifi County Hospital for clinically-defined pneumonia decreased sharply (by 27%) in association with the introduction of PCV10, as did the incidence of radiologically-confirmed pneumonia (by 48%). The burden of hospital admissions for childhood pneumonia in Kilifi, Kenya, has been reduced substantially by the introduction of PCV10.
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- 2019
40. Effect of ten-valent pneumococcal conjugate vaccine on invasive pneumococcal disease and nasopharyngeal carriage in Kenya: a longitudinal surveillance study
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Laura L. Hammitt, Maria Deloria Knoll, Tatu Kamau, J. Anthony G. Scott, Edward Mumbo, Evasius Bauni, Collins Tabu, Tahreni Bwanaali, Shahnaaz K Sharif, Kevin Marsh, John Ojal, Jackline Wafula, Susan C. Morpeth, Christine Mataza, Anthony Etyang, Mark Otiende, Angela Karani, Ifedayo M. O. Adetifa, Neema Mturi, Donald Akech, Orin S. Levine, Alex Mutuku, Jennifer C. Moïsi, Thomas N. Williams, and Wellcome Trust
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Serotype ,Adult ,Male ,Kenya ,Adolescent ,Cross-sectional study ,Disease ,030204 cardiovascular system & hematology ,Rate ratio ,Pneumococcal conjugate vaccine ,Pneumococcal Infections ,Pneumococcal Vaccines ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Nasopharynx ,General & Internal Medicine ,parasitic diseases ,medicine ,Humans ,030212 general & internal medicine ,Longitudinal Studies ,Young adult ,Child ,11 Medical and Health Sciences ,Aged ,business.industry ,Incidence (epidemiology) ,Incidence ,Infant, Newborn ,Infant ,General Medicine ,Middle Aged ,3. Good health ,Cross-Sectional Studies ,Streptococcus pneumoniae ,Child, Preschool ,Female ,business ,Demography ,medicine.drug - Abstract
Background Ten-valentpneumococcal conjugate vaccine(PCV10), delivered at 6, 10, and 14 weeks ofagewas introduced in Kenya in January, 2011, accompanied by a catch-up campaign in Kilifi County for children aged younger than 5 years. Coverage with at least two PCV10 doses in children aged 2–11 months was 80% in 2011 and 84% in 2016; coverage with at least one dose in children aged 12–59 months was 66% in 2011 and 87% in 2016. We aimed to assess PCV10 effect against nasopharyngeal carriage andinvasive pneumococcal disease(IPD) in children and adults in Kilifi County. Methods This study was done at the KEMRI-Wellcome Trust Research Programme among residents of the Kilifi Health and DemographicSurveillance System, arural communityon the Kenyan coast covering an area of 891 km2. We linked clinical and microbiologicalsurveillancefor IPD among admissions of all ages at Kilifi County Hospital, Kenya, which serves the community, to the Kilifi Health and Demographic Surveillance System from 1999 to 2016. We calculated the incidence rate ratio (IRR) comparing the prevaccine (Jan 1, 1999–Dec 31, 2010) and postvaccine (Jan 1, 2012–Dec 31, 2016) eras, adjusted for confounding, and reported percentage reduction in IPD as 1minusIRR. Annual cross-sectional surveys of nasopharyngeal carriage were done from 2009 to 2016. Findings Surveillance identified 667 cases of IPD in 3 211 403 person-years of observation. Yearly IPD incidence in children younger than 5 years reduced sharply in 2011 followingvaccineintroduction and remained low (PCV10-type IPD: 60·8 cases per 100 000 in the prevaccine eravs3·2 per 100 000 in the postvaccine era [adjusted IRR 0·08, 95% CI 0·03–0·22]; IPD caused by anyserotype: 81·6 per 100 000vs15·3 per 100 000 [0·32, 0·17–0·60]). PCV10-type IPD also declined in the post-vaccination era in unvaccinatedage groups( Interpretation Introduction of PCV10 in Kenya, accompanied by a catch-up campaign, resulted in a substantial reduction in PCV10-type IPD in children and adults without significant replacement disease. Although the catch-up campaign is likely to have brought forward the benefits by several years, the study suggests that routine infant PCV10immunisationprogrammes will provide substantial direct and indirect protection in low-income settings in tropical Africa.
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- 2019
41. A tuberculosis nationwide prevalence survey in Gambia, 2012
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Rahmatulai Maane, Ma Ansu Kinteh, David Jeffries, Kodjovi D. Mlaga, Ifedayo M. O. Adetifa, Simon Donkor, Martin Antonio, Beatrice Dei Alorse, Adedapo O Bashorun, Catherine Okoi, Umberto D'Alessandro, Semeeh Akinwale Omoleke, Christopher Linda, Lindsay Kendall, Bouke C. de Jong, and William Dei Alorse
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Adult ,Male ,medicine.medical_specialty ,Tuberculosis ,Adolescent ,Cross-sectional study ,030231 tropical medicine ,Population ,Disease cluster ,Mycobacterium tuberculosis ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Internal medicine ,medicine ,Prevalence ,Humans ,030212 general & internal medicine ,Young adult ,education ,Tuberculosis, Pulmonary ,Aged ,Aged, 80 and over ,education.field_of_study ,biology ,business.industry ,Research ,Public Health, Environmental and Occupational Health ,Sputum ,Middle Aged ,biology.organism_classification ,medicine.disease ,Health Surveys ,Confidence interval ,Surgery ,Cross-Sectional Studies ,Female ,Gambia ,medicine.symptom ,business - Abstract
To estimate the population prevalence of active pulmonary tuberculosis in Gambia.Between December 2011 and January 2013, people aged ≥ 15 years participating in a nationwide, multistage cluster survey were screened for active pulmonary tuberculosis with chest radiography and for tuberculosis symptoms. For diagnostic confirmation, sputum samples were collected from those whose screening were positive and subjected to fluorescence microscopy and liquid tuberculosis cultures. Multiple imputation and inverse probability weighting were used to estimate tuberculosis prevalence.Of 100 678 people enumerated, 55 832 were eligible to participate and 43 100 (77.2%) of those participated. A majority of participants (42 942; 99.6%) were successfully screened for symptoms and by chest X-ray. Only 5948 (13.8%) were eligible for sputum examination, yielding 43 bacteriologically confirmed, 28 definite smear-positive and six probable smear-positive tuberculosis cases. Chest X-ray identified more tuberculosis cases (58/69) than did symptoms alone (43/71). The estimated prevalence of smear-positive and bacteriologically confirmed pulmonary tuberculosis were 90 (95% confidence interval, CI: 53-127) and 212 (95% CI: 152-272) per 100 000 population, respectively. Tuberculosis prevalence was higher in males (333; 95% CI: 233-433) and in the 35-54 year age group (355; 95% CI: 219-490).The burden of tuberculosis remains high in Gambia but lower than earlier estimates of 490 per 100 000 population in 2010. Less than half of all cases would have been identified based on smear microscopy results alone. Successful control efforts will require interventions targeting men, increased access to radiography and more accurate, rapid diagnostic tests.Estimer la prévalence de la tuberculose pulmonaire active dans la population de Gambie.Entre décembre 2011 et janvier 2013, dans le cadre d'une enquête nationale en grappes à plusieurs degrés, un dépistage de la tuberculose pulmonaire active a été réalisé au moyen d'un questionnaire sur les symptômes tuberculeux et d'une radiographie pulmonaire, chez des personnes âgées de 15 ans ou plus ayant consenti à participer. Pour confirmer le diagnostic, des échantillons d'expectoration ont été collectés pour tous les participants dont les résultats de dépistage s’étaient révélés positifs, en vue de réaliser des examens par microscopie de fluorescence et des cultures en milieu liquide. Les techniques d'imputation multiple et de pondération par l'inverse de la probabilité ont été utilisées pour estimer la prévalence de la tuberculose.Sur les 100 678 personnes recensées, 55 832 étaient éligibles pour participer à l'étude et, parmi elles, 43 100 personnes (77,2%) ont participé. La majorité des participants (42 942; 99,6%) ont effectivement répondu au questionnaire sur les symptômes et passé une radiographie pulmonaire. Seules 5 948 personnes (13,8%) ont été éligibles pour un examen des expectorations, ce qui a entraîné le dépistage de 43 cas de tuberculose confirmée bactériologiquement, de 28 cas formels de tuberculose à frottis positif et de 6 cas probables de tuberculose à frottis positif. Les radiographies pulmonaires ont permis d'identifier plus de cas de tuberculose (58/69) que le seul questionnaire sur les symptômes (43/71). Les prévalences de la tuberculose pulmonaire à frottis positif et de la tuberculose bactériologiquement confirmée ont respectivement été estimées à 90 cas (intervalle de confiance de 95%: 53–127) pour 100 000 habitants et 212 cas (IC 95%: 152–272) pour 100 000 habitants. La prévalence de la tuberculose s'est avérée plus élevée dans la population masculine (333 cas; IC 95%: 233–433) et dans la tranche des 35–54 ans (355; IC 95%: 219-490).La charge de la tuberculose reste élevée en Gambie, même si elle a baissé par rapport à la précédente estimation, réalisée en 2010, qui faisait état de 490 cas pour 100 000 habitants. En utilisant uniquement la microscopie des frottis, moins de la moitié des cas auraient été identifiés. Pour être efficaces, les efforts de lutte contre la tuberculose doivent inclure des campagnes ciblant les hommes, améliorer l'accessibilité des examens radiographiques et utiliser des tests diagnostiques rapides plus précis.Estimar la prevalencia de la tuberculosis pulmonar activa entre la población en Gambia.Entre diciembre de 2011 y enero de 2013, personas de 15 años o más que participaron en una encuesta nacional en varias etapas y a nivel de grupos fueron examinadas en busca de tuberculosis pulmonar activa mediante una radiografía de tórax y para encontrar síntomas de tuberculosis. Para confirmar el diagnóstico, se recolectaron muestras de esputo de las personas cuyo examen resultó positivo y se sometieron a microscopia de fluorescencia y cultivos líquidos de tuberculosis. Para calcular la prevalencia de la tuberculosis, se utilizaron varias asignaciones y análisis de probabilidad inversa.De las 100 678 personas enumeradas, 55 832 se consideraron aptas para participar, de las cuales 43 100 (77,2%) participaron. La mayoría de los participantes (42 942; 99,6%) fueron examinados con éxito para detectar síntomas, así como por radiografía del tórax. Solo 5 948 (13,8%) fueron aptos para pruebas de esputo, lo que dio lugar a 43 confirmados a nivel bacteriológico, 28 casos bacilíferos de tuberculosis definitivos y 6 casos bacilíferos de tuberculosis probable. Las radiografías del tórax identificaron más casos de tuberculosis (58/69) que los síntomas por sí solos (43/71). La prevalencia estimada de tuberculosis pulmonar bacilífera y confirmada a nivel bacteriológico fue de 90 (intervalo de confianza, IC, del 95%: 53–127) y 212 (IC del 95%: 152–272) por cada 100 000 habitantes, respectivamente. La prevalencia de la tuberculosis fue mayor en hombres (333; IC del 95%: 233–433) y en los grupos de edad entre 35 y 54 años (355; IC del 95%: 219–490).Los índices de tuberculosis siguen siendo altos en Gambia, pero inferiores a las estimaciones anteriores de 490 por cada 100 000 habitantes en 2010. Se identificaron menos de la mitad de todos los casos según los resultados de la microscopia de frotis por sí solos. Para que los esfuerzos de control tengan éxito, serán necesarias intervenciones enfocadas a los hombres, un mayor acceso a radiografías y pruebas de diagnóstico más rápidas y exactas.تقدير مدى تفشي مرض السل الرئوي النشط بين السكان في غامبيا.خضع الأشخاص الذين تبلغ أعمارهم 15 عامًا أو أكثر ممن شاركوا في مسح عنقودي متعدد المراحل على مستوى الدولة بأكملها في الفترة بين ديسمبر/كانون الأول 2011 ويناير 2013 لفحص للكشف عن الإصابة بالسل الرئوي النشط باستخدام تصوير الصدر بالأشعة وفحص للكشف عن أعراض السل. وللتأكد من التشخيص، تم جمع عينات من البصاق من الأشخاص الذين أظهر الفحص نتائج إيجابية لهم، وخضعت تلك العينات للفحص تحت المجهر الفلوري ولعمليات زراعة في وسط سائل للكشف عن بكتريا السل. وتمت الاستعانة بطريقة حساب القيم التعويضية المتعددة وأسلوب ترجيح الاحتمال العكسي في تقدير مدى تفشي مرض السل. ايظل عبء مرض السل بمعدل مرتفع في غامبيا، إلا أنه يقل عن التقديرات السابقة التي أشارت إلى وجود 490 حالة في كل مجموعة سكانية يبلغ عدد أفرادها 100,000 نسمة في عام 2010. وقد تم تحديد ما يقل عن النصف من الحالات بأكملها اعتمادًا على نتائج الفحص المجهري لمسحة البصاق وحده. وستتطلب الجهود الرامية للنجاح في السيطرة على المرض بعض التدخلات التي تستهدف الرجال، وزيادة فرص الخضوع للتصوير بالأشعة وتوفير المزيد من الاختبارات التشخيصية الدقيقة والسريعة.旨在预测冈比亚境内活动性肺结核患病率。.在 2011 年 12 月到 2013 年 1 月期间,研究人员采用 X 线胸片对年龄为 15 岁以及上参与全国范围内、多阶段整群调查的人员进行活动性肺结核筛查以及肺结核症状筛查。为进行确诊,研究人员采集了筛查结果阳性人员的痰液样本并对其进行荧光显微镜观察以及肺结核液体培养基培养。还采用多重填补法和逆概率加权法以估算肺结核患病率。.在选出的 100,678 人中,55 ,832 人有资格参与调查,其中 43,100 (77.2%) 人参与了调查。我们通过 X 线胸片成功地对大部分参与者(42,942 人;99.6%)进行了症状筛查。仅 5,948 (13.8%) 人有资格参加痰液检验,结果显示 43 人为细菌学检查阳性,28 人痰涂片检查为阳性,并且发现了六例痰涂片检查疑似阳性的肺结核病例。相对于单纯症状查痰法 (43/71), X 线胸片可确诊更多肺结核病例 (58/69)。每 10 万人中,预计痰涂片阳性和细菌学检查阳性的肺结核患病人数分别为 90(95% 置信区间,CI: 53-127) 和 212 (95% 置信区间,CI: 152–272)。男性 (333; 95% CI: 233–433) 以及年龄介于 35–54 岁的人群 (355; 95% CI: 219–490) 肺结核患病率更高 。.冈比亚境内肺结核患病率居高不下,但低于 2010 年估计的每 10 万人中 490 例的患病率。在所有病例中,半数以下病例本可以仅仅通过显微镜观察痰涂片确诊。为有效控制疾病发展,需要对男性采取干预措施、进一步促进 X线胸片以及更多精确、快速诊断检测方法的普及。.Оценить популяционную распространенность активной формы туберкулеза легких в Гамбии.В период с декабря 2011 года по январь 2013 года лица в возрасте ≥□15 лет принимали участие в национальном многоэтапном исследовании с применением гнездовой выборки; их обследовали на наличие активной формы туберкулеза легких при помощи рентгенографии грудной клетки, а также проверяли наличие у них клинических симптомов туберкулеза. С целью подтверждения диагноза у лиц, для которых результаты скринингового обследования были положительными, брали пробу мокроты и подвергали ее флуоресцентной микроскопии, а также применяли ее посев на жидкую питательную среду. Для оценки распространенности туберкулеза применялся метод множественного восстановления пропущенных данных и метод весовых коэффициентов для величин, обратных вероятности.Из 100 678 человек, зарегистрированных для проведения обследования, 55 832 отвечали критериям исследования. Из них 43 100 человек (77,2%) приняли участие в исследовании. В большинстве своем участники (42 942 (99,6%)) успешно прошли скрининг симптомов и рентгенографию грудной клетки. Только 5 948 участников (13,8%) отвечали критериям для сдачи мокроты на анализ, из них в 43 случаях было получено бактериологическое подтверждение, 28 мазков были квалифицированы как достоверно положительные, шесть — как вероятные случаи туберкулеза. Рентгенография грудной клетки выявила больше случаев туберкулеза (58 из 69), чем диагностика только по симптомам (43 из 71). Оценка распространенности положительного мазка на туберкулез и бактериологически подтвержденного туберкулеза легких составила 90 (95%-й доверительный интервал, ДИ: 53–127) и 212 (95%-й ДИ: 152–272) на 100 000 населения соответственно. Туберкулез чаще встречался среди мужчин (333, 95%-й ДИ: 233–433) и лиц в возрасте 35–54 лет (355, 95%-й ДИ: 219–490).В Гамбии сохраняется высокое бремя туберкулеза, но полученные оценочные значения ниже величины, рассчитанной в 2010 году, в 490 случаях на 100 000 населения. Менее половины всех случаев могли быть выявлены только на основании микроскопического исследования мазка. Для успеха контролирующих мероприятий потребуются вмешательства, ориентированные на мужчин, более широкий доступ к рентгенографии и более точные и быстродействующие диагностические тесты.
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- 2016
42. Coverage and timeliness of vaccination and the validity of routine estimates: Insights from a vaccine registry in Kenya
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John Anthony Scott, Alex Mutuku, Tatu Kamau, Collins Tabu, Ifedayo M. O. Adetifa, Jackline Wafula, Martina Chome, Thomas N. Williams, Evasius Bauni, Tahreni Bwanaali, Christine Mataza, Anne Makumi, Pauline Mwatsuma, Boniface Karia, Laura L. Hammitt, and Wellcome Trust
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Male ,Time Factors ,Vaccination Coverage ,Surveys ,Cohort Studies ,Pneumococcal Vaccines ,0302 clinical medicine ,Health facility ,Risk Factors ,Epidemiology ,Medicine ,030212 general & internal medicine ,Registries ,Vaccine registry ,11 Medical And Health Sciences ,3. Good health ,Poliomyelitis ,Vaccination ,Infectious Diseases ,Administrative coverage ,Vaccination coverage ,Child, Preschool ,Molecular Medicine ,Regression Analysis ,Vaccine-preventable diseases ,Female ,medicine.medical_specialty ,Measles Vaccine ,Measles ,Article ,Herd immunity ,03 medical and health sciences ,030225 pediatrics ,Virology ,Humans ,Vaccines, Conjugate ,General Veterinary ,General Immunology and Microbiology ,business.industry ,Proportional hazards model ,Immunization Programs ,Public Health, Environmental and Occupational Health ,Methodology ,Infant ,06 Biological Sciences ,medicine.disease ,Kenya ,Cross-Sectional Studies ,Measles vaccine ,07 Agricultural And Veterinary Sciences ,business ,Vaccine ,Demography - Abstract
Highlights • A high coverage is essential if the full benefits of vaccines are to be enjoyed. • A vaccine registry can help quantify the errors in coverage estimates from surveys. • Vaccination coverage obtained using a survey approach overestimates coverage by 2%. • Survey and administrative methods underestimate fully immunised children by ≥10%. • Non-hospital delivery and stock-outs were associated with failure to vaccinate., Background The benefits of childhood vaccines are critically dependent on vaccination coverage. We used a vaccine registry (as gold standard) in Kenya to quantify errors in routine coverage methods (surveys and administrative reports), to estimate the magnitude of survivor bias, contrast coverage with timeliness and use both measures to estimate population immunity. Methods Vaccination records of children in the Kilifi Health and Demographic Surveillance System (KHDSS), Kenya were combined with births, deaths, migration and residence data from 2010 to 17. Using inverse survival curves, we estimated up-to-date and age-appropriate vaccination coverage, calculated mean vaccination coverage in infancy as the area under the inverse survival curves, and estimated the proportion of fully immunised children (FIC). Results were compared with published coverage estimates. Risk factors for vaccination were assessed using Cox regression models. Results We analysed data for 49,090 infants and 48,025 children aged 12–23 months in 6 birth cohorts and 6 cross-sectional surveys respectively, and found 2nd year of life surveys overestimated coverage by 2% compared to birth cohorts. Compared to mean coverage in infants, static coverage at 12 months was exaggerated by 7–8% for third doses of oral polio, pentavalent (Penta3) and pneumococcal conjugate vaccines, and by 24% for the measles vaccine. Surveys and administrative coverage also underestimated the proportion of the fully immunised child by 10–14%. For BCG, Penta3 and measles, timeliness was 23–44% higher in children born in a health facility but 20–37% lower in those who first attended during vaccine stock outs. Conclusions Standard coverage surveys in 12–23 month old children overestimate protection by ignoring timeliness, and survivor and recall biases. Where delayed vaccination is common, up-to-date coverage will give biased estimates of population immunity. Surveys and administrative methods also underestimate FIC prevalence. Better measurement of coverage and more sophisticated analyses are required to control vaccine preventable diseases.
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- 2018
43. Impact of 10-valent pneumococcal conjugate vaccine on invasive pneumococcal disease and nasopharyngeal carriage in Kenya
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Shahnaaz K Sharif, Tatu Kamau, Neema Mturi, J. Anthony G. Scott, Thomas N. Williams, Orin S. Levine, Alex Mutuku, Anthony Etyang, Angela Karani, Laura L. Hammitt, Edward Mumbo, Evasius Bauni, Donald Akech, Jennifer C. Moïsi, Ifedayo M. O. Adetifa, Collins Tabu, Maria Deloria Knoll, Susan C. Morpeth, John Ojal, Jackline Wafula, Mark Otiende, Tahreni Bwanaali, Kevin Marsh, and Christine Mataza
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Pediatrics ,medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,030231 tropical medicine ,Confounding ,Nasopharyngeal carriage ,Rate ratio ,medicine.disease_cause ,Pneumococcal conjugate vaccine ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,Carriage ,Streptococcus pneumoniae ,Epidemiology ,Medicine ,030212 general & internal medicine ,business ,medicine.drug - Abstract
Background10-valent pneumococcal conjugate vaccine (PCV10), delivered at 6, 10 and 14 weeks of age, was introduced in Kenya in January 2011, accompanied by a catch-up campaign in Kilifi County for children MethodsClinical and microbiological surveillance for invasive pneumococcal disease (IPD) among admissions of all ages at Kilifi County Hospital was linked to the Kilifi Health and Demographic Surveillance System from 1999-2016. We calculated the incidence rate ratio (IRR) comparing the pre-vaccine and post-vaccine eras, adjusted for confounding, and reported percent reduction in IPD as 1-IRR. Annual cross-sectional surveys of nasopharyngeal carriage were conducted from 2009-2016.FindingsSurveillance identified 667 IPD cases in 3,211,403 person-years of observation. IPD incidence in children InterpretationIntroduction of PCV10 in Kenya resulted in a substantial reduction in PCV10-type IPD in children and adults without significant replacement disease. These findings suggest that routine infant PCV10 immunization programmes with catch-up campaigns will provide substantial direct and indirect protection in low-income settings in tropical Africa.
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- 2018
44. The merits of sustaining pneumococcal vaccination after transitioning from Gavi support – a modelling and cost-effectiveness study for Kenya
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Laura L. Hammitt, Stefan Flasche, John Ojal, Donald Akech, Collins Tabu, J. Anthony G. Scott, Ulla Griffiths, and Ifedayo M. O. Adetifa
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Kenya ,business.industry ,Cost effectiveness ,Incidence (epidemiology) ,Developing country ,complex mixtures ,Pneumococcal conjugate vaccine ,Vaccination ,Carriage ,Per capita ,Medicine ,business ,health care economics and organizations ,Demography ,medicine.drug - Abstract
IntroductionMany low income countries soon will need to consider whether to continue pneumococcal conjugate vaccine (PCV) use at full costs as they transition from Gavi support. Using Kenya as a case study we assessed the incremental cost-effectiveness of continuing PCV use.MethodsWe fitted a dynamic compartmental model of pneumococcal carriage to annual carriage prevalence surveys and invasive pneumococcal disease (IPD) incidence in Kilifi, Kenya, and predicted disease incidence and related mortality for either continuing PCV use beyond 2022, the start of Kenya’s transition from Gavi support, or its discontinuation. We calculated the costs per disability-adjusted-life-year (DALY) averted and associated prediction intervals (PI).ResultsWe predicted that overall IPD incidence will increase by 93% (PI: 72% - 114%) from 8.5 in 2022 to 16.2 per 100,000 per year in 2032, if PCV use is discontinued. Continuing vaccination would prevent 15,355 (PI: 10,196–21,125) deaths and 112,050 (PI: 79,620– 130,981) disease cases during that time. Continuing PCV after 2022 will require an estimated additional US$15.6 million annually compared to discontinuing vaccination. The incremental cost per DALY averted of continuing PCV was predicted at $142 (PI: 85 - 252) in 2032.ConclusionContinuing PCV use is essential to sustain its health gains. Based on the Kenyan GDP per capita of $1445, and in comparison to other vaccines, continued PCV use at full costs is cost-effective. These arguments support an expansion of the vaccine budget, however, affordability may be a concern.FundingFunded by the Wellcome Trust.
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- 2018
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45. Nasopharyngeal Pneumococcal Carriage in Nigeria: a two-site, population-based survey
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Michael Waithaka, Christy A. N. Okoromah, Isa S. Abubakar, Mohammed M Bello, Ifedayo M. O. Adetifa, J. Anthony G. Scott, Aishatu L. Adamu, Angela Karani, Kofo Odeyemi, and Victor Inem
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Male ,Rural Population ,Serotype ,Pneumococcal carriage ,Urban Population ,Science ,030231 tropical medicine ,Nigeria ,medicine.disease_cause ,Article ,Pneumococcal Infections ,Pneumococcal conjugate vaccine ,Pneumococcal Vaccines ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Streptococcus pneumoniae ,medicine ,Humans ,030212 general & internal medicine ,Vaccines, Conjugate ,Multidisciplinary ,Transmission (medicine) ,business.industry ,Incidence (epidemiology) ,Infant ,3. Good health ,Nasopharyngeal Diseases ,Carriage ,Child, Preschool ,Medicine ,Female ,Rural area ,business ,medicine.drug - Abstract
Changes in nasopharyngeal (NP) carriage of vaccine-type (VT) Streptococcus pneumoniae can be used to assess the effectiveness of a pneumococcal conjugate vaccine (PCV10). We conducted a baseline carriage survey in rural (Kumbotso, Kano) and urban (Pakoto, Ogun) Nigeria. In this cross-sectional study, we obtained data on demography, clinical history, risk factors, and took NP swabs for pneumococcal culture. We calculated crude and age-standardised carriage prevalence and used log-binomial regression to assess risk factors for carriage. Among children aged 40% across all ages. The age-standardized prevalence of pneumococcal carriage was 66% in Kumbotso and 40% in Pakoto. The most commonly identified serotypes were 19 F, 6 A and 23 F. Risk factors for carriage were young age, recent rhinorrhoea, cohabitation with ≥2 children aged
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- 2018
46. Examining human paragonimiasis as a differential diagnosis to tuberculosis in The Gambia
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Florian Gehre, Bouke C. de Jong, Ifedayo M. O. Adetifa, Richard Morter, Fatima Touray, Charlotte M. Gower, Martin Antonio, and The Royal Society
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Male ,Paragonimiasis ,Paragonimus ,lcsh:Medicine ,Polymerase Chain Reaction ,West africa ,0302 clinical medicine ,Epidemiology ,030212 general & internal medicine ,Child ,lcsh:QH301-705.5 ,Neglected tropical diseases ,biology ,General Medicine ,Middle Aged ,3. Good health ,Research Note ,Female ,Gambia ,medicine.symptom ,Adult ,medicine.medical_specialty ,Tuberculosis ,Adolescent ,Bioinformatics ,030231 tropical medicine ,General Biochemistry, Genetics and Molecular Biology ,Diagnosis, Differential ,Young Adult ,03 medical and health sciences ,Internal medicine ,West Africa ,parasitic diseases ,medicine ,Humans ,lcsh:Science (General) ,Aged ,Foodborne trematodiases ,business.industry ,lcsh:R ,1199 Other Medical And Health Sciences ,medicine.disease ,biology.organism_classification ,lcsh:Biology (General) ,Sputum ,Differential diagnosis ,business ,lcsh:Q1-390 - Abstract
Objective Paragonimiasis is a foodborne trematode infection of the lungs caused by Paragonimus spp., presenting clinically with similar symptoms to active tuberculosis (TB). Worldwide, an estimated 20.7 million people are infected with paragonimiasis, but relatively little epidemiological data exists for Africa. Given a recently reported case, we sought to establish whether paragonimiasis should be considered as an important differential diagnosis for human TB in The Gambia, West Africa. Results We developed a novel PCR-based diagnostic test for Paragonimus species known to be found in West Africa, which we used to examine archived TB negative sputum samples from a cross-sectional study of volunteers with tuberculosis-like symptoms from communities in the Western coastal region of The Gambia. Based on a “zero patient” design for detection of rare diseases, 300 anonymised AFB smear negative sputum samples, randomly selected from 25 villages, were screened for active paragonimiasis by molecular detection of Paragonimus spp. DNA. No parasite DNA was found in any of the sputa of our patient group. Despite the recent case report, we found no evidence of active paragonimiasis infection masking as TB in the Western region of The Gambia. Electronic supplementary material The online version of this article (10.1186/s13104-018-3134-y) contains supplementary material, which is available to authorized users.
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- 2018
47. Four-gene pan-African blood signature predicts progression to tuberculosis
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Sara Suliman, Ethan G. Thompson, Jayne Sutherland, January Weiner, Martin O. C. Ota, Smitha Shankar, Adam Penn-Nicholson, Bonnie Thiel, Mzwandile Erasmus, Jeroen Maertzdorf, Fergal J. Duffy, Philip C. Hill, E. Jane Hughes, Kim Stanley, Katrina Downing, Michelle L. Fisher, Joe Valvo, Shreemanta K. Parida, Gian van der Spuy, Gerard Tromp, Ifedayo M. O. Adetifa, Simon Donkor, Rawleigh Howe, Harriet Mayanja-Kizza, W. Henry Boom, Hazel M. Dockrell, Tom H. M. Ottenhoff, Mark Hatherill, Alan Aderem, Willem A. Hanekom, Thomas J. Scriba, Stefan H. E. Kaufmann, Daniel E. Zak, Gerhard Walzl, Gillian F. Black, Magdalena Kriel, Nelita Du Plessis, Nonhlanhla Nene, Teri Roberts, Leanie Kleynhans, Andrea Gutschmidt, Bronwyn Smith, Andre G. Loxton, Novel N. Chegou, Gerhardus Tromp, David Tabb, Michel R. Klein, Marielle C. Haks, Kees L. M. C. Franken, Annemieke Geluk, Krista E. van Meijgaarden, Simone A. Joosten, Moses Joloba, Sarah Zalwango, Mary Nsereko, Brenda Okwera, Hussein Kisingo, Robert Golinski, Marc Jacobson, Hazel Dockrell, Steven Smith, Patricia Gorak-Stolinska, Yun-Gyoung Hur, Maeve Lalor, Ji-Sook Lee, Amelia C. Crampin, Neil French, Bagrey Ngwira, Anne Ben-Smith, Kate Watkins, Lyn Ambrose, Felanji Simukonda, Hazzie Mvula, Femia Chilongo, Jacky Saul, Keith Branson, Hassan Mahomed, Nicole Bilek, Onke Xasa, Ashley Veldsman, Michelle Fisher, Humphrey Mulenga, Brian Abel, Mark Bowmaker, Benjamin Kagina, William Kwong Chung, Jerry Sadoff, Donata Sizemore, S. Ramachandran, Lew Barker, Michael Brennan, Frank Weichold, Stefanie Muller, Larry Geiter, Desta Kassa, Almaz Abebe, Tsehayenesh Mesele, Belete Tegbaru, Debbie van Baarle, Frank Miedema, Adane Mihret, Abraham Aseffa, Yonas Bekele, Rachel Iwnetu, Mesfin Tafesse, Lawrence Yamuah, Martin Ota, Philip Hill, Richard Adegbola, Tumani Corrah, Martin Antonio, Toyin Togun, Ifedayo Adetifa, Peter Andersen, Ida Rosenkrands, Mark Doherty, Karin Weldingh, Gary Schoolnik, Gregory Dolganov, Tran Van, Fazlin Kafaar, Leslie Workman, Yolundi Cloete, Deborah Abrahams, Sizulu Moyo, Sebastian Gelderbloem, Michele Tameris, Hennie Geldenhuys, Willem Hanekom, Gregory Hussey, Rodney Ehrlich, Suzanne Verver, Graduate School, APH - Methodology, and APH - Global Health
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0301 basic medicine ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Tuberculosis ,Respiratory System ,Disease ,Critical Care and Intensive Care Medicine ,Medical and Health Sciences ,Mycobacterium tuberculosis ,03 medical and health sciences ,The ACS cohort study team ,0302 clinical medicine ,Rare Diseases ,Clinical Research ,Internal medicine ,medicine ,Genetics ,2.1 Biological and endogenous factors ,030212 general & internal medicine ,Aetiology ,Index case ,Gene ,screening and diagnosis ,biology ,GC6-74 cohort study team ,Pan african ,business.industry ,Risk of infection ,Prevention ,biomarkers ,medicine.disease ,biology.organism_classification ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,030104 developmental biology ,Infectious Diseases ,Emerging Infectious Diseases ,Good Health and Well Being ,tuberculosis ,Cohort ,gene expression ,HIV/AIDS ,Gene expression ,business ,Infection ,Biomarkers ,4.2 Evaluation of markers and technologies - Abstract
Rationale: Contacts of patients with tuberculosis (TB) constitute an important target population for preventive measures because they are at high risk of infection with Mycobacterium tuberculosis and progression to disease. Objectives: We investigated bio-signatures with predictive ability for incident TB. Methods: In a case-control study nested within the Grand Challenges 6-74 longitudinal HIV-negative African cohort of exposed household contacts, we employed RNA sequencing, PCR, and the pair ratio algorithm in a training/test set approach. Overall, 79 progressors who developed TB between 3 and 24 months after diagnosis of index case and 328 matched nonprogressors who remained healthy during 24 months of follow-up were investigated. Measurements and Main Results: A four-transcript signature derived from samples in a South African and Gambian training set predicted progression up to two years before onset of disease in blinded test set samples from South Africa, the Gambia, and Ethiopia with little population-associated variability, and it was also validated in an external cohort of South African adolescents with latent M. tuberculosis infection. By contrast, published diagnostic or prognostic TB signatures were predicted in samples from some but not all three countries, indicating site-specific variability. Post hoc meta-analysis identified a single gene pair, C1QC/TRAV27 (complement C1q C-chain / T-cell receptor-a variable gene 27) that would consistently predict TB progression in household contacts from multiple African sites but not in infected adolescents without known recent exposure events. Conclusions: Collectively, we developed a simple whole blood-based PCR test to predict TB in recently exposed household contacts from diverse African populations. This test has potential for implementation in national TB contact investigation programs.
- Published
- 2018
48. Crude childhood vaccination coverage in West Africa: Trends and predictors of completeness
- Author
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Jacob Kazungu and Ifedayo M. O. Adetifa
- Subjects
dropout rates ,030231 tropical medicine ,Medicine (miscellaneous) ,Library science ,Measles ,General Biochemistry, Genetics and Molecular Biology ,Sierra leone ,03 medical and health sciences ,0302 clinical medicine ,Health facility ,Environmental health ,Health care ,parasitic diseases ,West Africa ,medicine ,030212 general & internal medicine ,Vaccination coverage ,fully immunised vhild ,Tetanus ,business.industry ,trends and predictors ,Diphtheria ,Health Systems & Services Research ,1. No poverty ,Articles ,medicine.disease ,3. Good health ,Poliomyelitis ,Vaccination ,Preventive Medicine ,business ,Research Article - Abstract
Background: Africa has the lowest childhood vaccination coverage worldwide. If the full benefits of childhood vaccination programmes are to be enjoyed in sub-Saharan Africa, all countries need to improve on vaccine delivery to achieve and sustain high coverage. In this paper, we review trends in vaccination coverage, dropouts between vaccine doses and explored the country-specific predictors of complete vaccination in West Africa. Methods: We utilized datasets from the Demographic and Health Surveys Program, available for Benin, Burkina Faso, The Gambia, Ghana, Guinea, Cote d’Ivoire, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone and Togo, to obtain coverage for Bacillus Calmette-Guerin, polio, measles, and diphtheria, pertussis and tetanus (DPT) vaccines in children aged 12 – 23 months. We also calculated the DPT1-to-DPT3 and DPT1-to-measles dropouts, and proportions of the fully immunised child (FIC). Factors predictive of FIC were explored using Chi-squared tests and multivariable logistic regression. Results: Overall, there was a trend of increasing vaccination coverage. The proportion of FIC varied significantly by country (range 24.1-81.4%, mean 49%). DPT1-to-DPT3 dropout was high (range 5.1% -33.9%, mean 16.3%). Similarly, DPT1-measles dropout exceeded 10% in all but four countries. Although no single risk factor was consistently associated with FIC across these countries, maternal education, delivery in a health facility, possessing a vaccine card and a recent post delivery visit to a health facility were the key predictors of complete vaccination. Conclusions: The low numbers of fully immunised children and high dropout between vaccine doses highlights weaknesses and the need to strengthen the healthcare and routine immunization delivery systems in this region. Country-specific correlates of complete vaccination should be explored further to identify interventions required to increase vaccination coverage. Despite the promise of an increasing trend in vaccination coverage in West African countries, more effort is required to attain and maintain global vaccination coverage targets.
- Published
- 2017
49. Incidence of macrolide–lincosamide–streptogramin B resistance amongst beta-haemolytic streptococci in The Gambia
- Author
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Kaddijatou Jawneh, Ifedayo M. O. Adetifa, Buntung Ceesay, Martin Antonio, Fatima Ceesay, Ousman Secka, Brenda Kwambana, Saffiatou Darboe, Sarah Mulwa, and Ebenezer Foster-Nyarko
- Subjects
Adult ,Male ,0301 basic medicine ,Penicillin susceptibility ,Adolescent ,Streptococcus pyogenes ,030106 microbiology ,Erythromycin ,Macrolide lincosamide streptogramin ,Microbial Sensitivity Tests ,Biology ,Hemolysis ,Group A ,General Biochemistry, Genetics and Molecular Biology ,Microbiology ,03 medical and health sciences ,0302 clinical medicine ,Antibiotic resistance ,Beta-haemolytic streptococci ,Drug Resistance, Multiple, Bacterial ,Streptococcal Infections ,medicine ,Humans ,030212 general & internal medicine ,Child ,Lincosamides ,Medicine(all) ,Biochemistry, Genetics and Molecular Biology(all) ,Incidence ,Incidence (epidemiology) ,Infant, Newborn ,Infant ,General Medicine ,Middle Aged ,Gambia, macrolide–lincosamide resistance ,Virology ,Anti-Bacterial Agents ,Penicillin ,Beta haemolytic ,Child, Preschool ,Streptogramin B ,Female ,Gambia ,Macrolides ,Research Article ,medicine.drug - Abstract
Background In West Africa, penicillin, macrolide and lincosamide resistance among beta-haemolytic streptococci (BHS) isolates has rarely been described. However, such data are critical to detect and track the emergence of antibiotic resistance. Methods Beta-haemolytic streptococci were cultured from clinical specimens from patients attending the clinic at the Medical Research Council Unit The Gambia (n = 217) and kept at −70 °C. Of these, 186 were revived and tested for penicillin susceptibility by disc diffusion and E-test methods, and the D-test for determination of constitutive and inducible macrolide–lincosamide (MLSB) resistance phenotypes. Results The majority of BHS isolates from infections were group A streptococci (GAS) (126/186, 67.7%). Of these, 16% were from invasive disease (30/186). Other BHS isolated included lancefield groups B (19, 10.2%); C (9/186, 4.8%), D (3/186, 1.6%), F (5/186, 2.7%), G (16/186, 8.6%) and non-typeable (8/186, 4.3%). Prevalence of BHS isolated from blood cultures ranges from 0% (2005) to 0.5% (2010). Most (85, 45.7%) of the isolates were from wound infections. Of the 186 BHS isolates, none was resistant to penicillin and 14 (6.1%) were resistant to erythromycin. Of these, 8 (4.3%) demonstrated constitutive MLSB resistance, and 5 (2.7%) were inducible MLSB resistant. All the inducible MLSB isolates were GAS, and majority of the constitutive MLSB isolates (6/8, 75.0%) were non-GAS. Conclusions Beta-haemolytic streptococci, predominantly GAS are associated with a wide range of infections in The Gambia. It is reassuring that macrolide and lincosamide resistance is relatively low. However, monitoring of MLSB resistance is necessary with the global spread of resistant BHS strains.
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- 2017
50. Differences in T-cell responses betweenMycobacterium tuberculosisandMycobacterium africanum-infected patients
- Author
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Hazel M. Dockrell, Beate Kampmann, Bouke C. de Jong, Leopold D. Tientcheu, Martin Antonio, Jayne S. Sutherland, Martin O. C. Ota, Ifedayo M. O. Adetifa, and James Jafali
- Subjects
Adult ,CD4-Positive T-Lymphocytes ,Male ,Tuberculosis ,Adolescent ,T cell ,Immunology ,Virulence ,Microbiology ,Mycobacterium tuberculosis ,Immune system ,Bacterial Proteins ,Species Specificity ,Antigen ,medicine ,Humans ,Immunology and Allergy ,Aged ,Antigens, Bacterial ,biology ,Middle Aged ,biology.organism_classification ,medicine.disease ,medicine.anatomical_structure ,Cytokines ,Female ,Mycobacterium africanum ,CD8 - Abstract
In The Gambia, Mycobacterium tuberculosis (Mtb) and Mycobacterium africanum (Maf) are major causes of tuberculosis (TB). Maf is more likely to cause TB in immune suppressed individuals, implying differences in virulence. Despite this, few studies have assessed the underlying immunity to the two pathogens in human. In this study, we analyzed T-cell responses from 19 Maf- and 29 Mtb-infected HIV-negative patients before and after TB chemotherapy following overnight stimulation of whole blood with TB-specific antigens. Before treatment, percentages of early secreted antigenic target-6(ESAT-6)/culture filtrate protein-10(CFP-10) and purified protein derivative-specific single-TNF-α-producing CD4(+) and CD8(+) T cells were significantly higher while single-IL-2-producing T cells were significantly lower in Maf- compared with Mtb-infected patients. Purified protein derivative-specific polyfunctional CD4(+) T cells frequencies were significantly higher before than after treatment, but there was no difference between the groups at both time points. Furthermore, the proportion of CD3(+) CD11b(+) T cells was similar in both groups pretreatment, but was significantly lower with higher TNF-α, IL-2, and IFN-γ production in Mtb- compared with that of Maf-infected patients posttreatment. Our data provide evidence of differences in T-cell responses to two mycobacterial strains with differing virulence, providing some insight into TB pathogenesis with different Mtb strains that could be prospectively explored as biomarkers for TB protection or susceptibility.
- Published
- 2014
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