Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases (2017)
- Authors:
- USP affiliated authors: AMAKU, MARCOS - FM ; BURATTINI, MARCELO NASCIMENTO - FM ; CHAIB, ELEAZAR - FM ; LOPEZ, LUIS FERNANDEZ - FM ; MASSAD, EDUARDO - FM
- Unidade: FM
- DOI: 10.1186/s12976-017-0069-2
- Subjects: DOENÇAS INFECCIOSAS; SAÚDE PÚBLICA; HEPATITE C; BRASIL
- Agências de fomento:
- Science Without Borders Program for a Special Visiting Fellowship (CNPq) [30098/2014-7]
- British Council, Malaysia from the Dengue Tech Challenge [DTC 16022]
- Leverhulme Trust from a Leverhulme Research Fellowship [RF-2015-88]
- Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
- Brazilian Ministry of Health [TED 27/2015]
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
- LIM01-HCFMUSP
- Language: Inglês
- Imprenta:
- Source:
- Título: Theoretical biology and medical modelling
- ISSN: 1742-4682
- Volume/Número/Paginação/Ano: v. 14, article ID 23, 18p, 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
AMAKU, Marcos et al. Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases. Theoretical biology and medical modelling, v. 14, 2017Tradução . . Disponível em: https://doi.org/10.1186/s12976-017-0069-2. Acesso em: 13 fev. 2026. -
APA
Amaku, M., Burattini, M. N., Chaib, E., Coutinho, F. A. B., Greenhalgh, D., Lopez, L. F., & Massad, E. (2017). Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases. Theoretical biology and medical modelling, 14. doi:10.1186/s12976-017-0069-2 -
NLM
Amaku M, Burattini MN, Chaib E, Coutinho FAB, Greenhalgh D, Lopez LF, Massad E. Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases [Internet]. Theoretical biology and medical modelling. 2017 ; 14[citado 2026 fev. 13 ] Available from: https://doi.org/10.1186/s12976-017-0069-2 -
Vancouver
Amaku M, Burattini MN, Chaib E, Coutinho FAB, Greenhalgh D, Lopez LF, Massad E. Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases [Internet]. Theoretical biology and medical modelling. 2017 ; 14[citado 2026 fev. 13 ] Available from: https://doi.org/10.1186/s12976-017-0069-2 - The risk of urban yellow fever resurgence in Aedes-infested American cities
- Interpretations and pitfalls in modelling vector-transmitted infections
- A public health risk assessment for yellow fever vaccination: a model exemplified by an outbreak in the state of São Paulo, Brazil
- Estimating the Size of the HCV Infection Prevalence: A Modeling Approach Using the Incidence of Cases Reported to an Official Notification System
- Modeling Importations and Exportations of Infectious Diseases via Travelers
- Risk of symptomatic dengue for foreign visitors to the 2014 FIFA World Cup in Brazil
- Analysis of the optimal vaccination age for dengue in Brazil with a tetravalent dengue vaccine
- Dengue outlook for the World Cup in Brazil. [Letter]
- The Optimal Age of Vaccination Against Dengue with an Age-Dependent Biting Rate with Application to Brazil
- In Vivo HIV-1 Hypermutation and Viral Loads Among Antiretroviral-Naive Brazilian Patients
Informações sobre o DOI: 10.1186/s12976-017-0069-2 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
