| Title |
Modelling the Force of Infection for Hepatitis A in an Urban Population-Based Survey: A Comparison of Transmission Patterns in Brazilian Macro-Regions
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0094622 |
| Pubmed ID | |
| Authors |
Ricardo Arraes de Alencar Ximenes, Celina Maria Turchi Martelli, Marcos Amaku, Ana Marli C. Sartori, Patricia Coelho de Soárez, Hillegonda Maria Dutilh Novaes, Leila Maria Moreira Beltrão Pereira, Regina Célia Moreira, Gerusa Maria Figueiredo, Raymundo Soares de Azevedo |
| Abstract |
This study aimed to identify the transmission pattern of hepatitis A (HA) infection based on a primary dataset from the Brazilian National Hepatitis Survey in a pre-vaccination context. The national survey conducted in urban areas disclosed two epidemiological scenarios with low and intermediate HA endemicity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Student > Ph. D. Student | 7 | 15% |
| Researcher | 5 | 11% |
| Professor | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Other | 12 | 26% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 43% |
| Mathematics | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Social Sciences | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |