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1.
Am J Trop Med Hyg ; 111(2): 391-395, 2024 Aug 07.
Artigo em Inglês | MEDLINE | ID: mdl-38917817

RESUMO

SARS-CoV-2 serological testing is useful to determine seroprevalence, epidemiological trends, and the extent of transmission. The collection and transport of serum samples can be logistically challenging, especially in remote underserved areas. Dried blood spots (DBSs) would allow easier sample collection and logistical handling compared with standard serum collection, particularly for extensive and repeated SARS-CoV-2 serosurveys. We evaluated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the IgG ELISA (Wantai, Beijing, China) using DBSs against sera for the quantitative detection of SARS-CoV-2 IgG antibody. The IgG ELISA was used to test paired sera and DBSs obtained from individuals with recent virologically confirmed COVID-19 illness and banked paired sera and DBSs collected before the COVID-19 pandemic. We found that 100/100 (100%) seropositive samples were positive using DBSs, and 193/194 (99%) seronegative samples were negative using DBSs. Compared with sera, the DBS method had a 100% sensitivity, 99% specificity, 99% PPV, and 100% NPV. Use of DBSs for SARS-CoV-2 household or population serosurveys may be considered in situations with limitations in sample collection, shipment, and storage.


Assuntos
Anticorpos Antivirais , Teste Sorológico para COVID-19 , COVID-19 , Ensaio de Imunoadsorção Enzimática , Imunoglobulina G , SARS-CoV-2 , Sensibilidade e Especificidade , Humanos , Imunoglobulina G/sangue , SARS-CoV-2/imunologia , Anticorpos Antivirais/sangue , Ensaio de Imunoadsorção Enzimática/métodos , COVID-19/diagnóstico , COVID-19/epidemiologia , COVID-19/sangue , COVID-19/imunologia , Teste Sorológico para COVID-19/métodos , Teste em Amostras de Sangue Seco/métodos , Pessoa de Meia-Idade , Masculino , Feminino , Adulto , Estudos Soroepidemiológicos , Manejo de Espécimes
2.
Lancet Glob Health ; 12(4): e599-e610, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38485427

RESUMO

BACKGROUND: Typhoid Fever remains a major cause of morbidity and mortality in low-income settings. The Severe Typhoid in Africa programme was designed to address regional gaps in typhoid burden data and identify populations eligible for interventions using novel typhoid conjugate vaccines. METHODS: A hybrid design, hospital-based prospective surveillance with population-based health-care utilisation surveys, was implemented in six countries in sub-Saharan Africa. Patients presenting with fever (≥37·5°C axillary or ≥38·0°C tympanic) or reporting fever for three consecutive days within the previous 7 days were invited to participate. Typhoid fever was ascertained by culture of blood collected upon enrolment. Disease incidence at the population level was estimated using a Bayesian mixture model. FINDINGS: 27 866 (33·8%) of 82 491 participants who met inclusion criteria were recruited. Blood cultures were performed for 27 544 (98·8%) of enrolled participants. Clinically significant organisms were detected in 2136 (7·7%) of these cultures, and 346 (16·2%) Salmonella enterica serovar Typhi were isolated. The overall adjusted incidence per 100 000 person-years of observation was highest in Kavuaya and Nkandu 1, Democratic Republic of the Congo (315, 95% credible interval 254-390). Overall, 46 (16·4%) of 280 tested isolates showed ciprofloxacin non-susceptibility. INTERPRETATION: High disease incidence (ie, >100 per 100 000 person-years of observation) recorded in four countries, the prevalence of typhoid hospitalisations and complicated disease, and the threat of resistant typhoid strains strengthen the need for rapid dispatch and implementation of effective typhoid conjugate vaccines along with measures designed to improve clean water, sanitation, and hygiene practices. FUNDING: The Bill & Melinda Gates Foundation.


Assuntos
Febre Tifoide , Vacinas , Humanos , Febre Tifoide/epidemiologia , Febre Tifoide/prevenção & controle , Gana , Madagáscar , Burkina Faso/epidemiologia , Etiópia , Incidência , Nigéria , Estudos Prospectivos , Teorema de Bayes , República Democrática do Congo
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