Name
Abstract | ||
|---|---|---|
The emergence of under-immunized clusters is a growing concern for public health agencies because they can act as reservoirs of infection and increase the risk of infection into the wider population. Higher resolution clusters computed using our network based approach and population models provide new insights on the structure and characteristics of such clusters and enable targeted interventions. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12911-018-0706-7 | BMC medical informatics and decision making |
Keywords | Field | DocType |
Scan statistics,Spatial clustering,Undervaccination | Public health,Population,Cluster (physics),Private healthcare,Statistics,Risk of infection,Medicine,Population model,Census,Scan statistic | Journal |
Volume | Issue | ISSN |
19 | 1 | 1472-6947 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Cadena | 1 | 98 | 7.53 |
| David Falcone | 2 | 0 | 0.34 |
| Achla Marathe | 3 | 203 | 23.77 |
| Anil Kumar S. Vullikanti | 4 | 1135 | 98.30 |