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https://hdl.handle.net/11681/35217| Title: | Temporal disaggregation of annual dengue cases to monthly dengue cases |
| Authors: | Wayant, Nicole M. |
| Keywords: | Dengue Epidemiology |
| Publisher: | Geospatial Research Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Technical Note (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TN-19-4 |
| Abstract: | Lack of disease incidence data is a common problem within the field of epidemiology. In order to study the distribution, frequency, patterns, and predictors of disease, epidemiologists need to have a sufficient record of past disease cases. Unfortunately, for many areas of the world, disease incidence data is extremely lacking. At best, data may be available at country level or on an annual basis. From a temporal point of view, this is unacceptable for identifying periods of extreme disease activity, the seasonal patterns of disease, or prediction. Since the global collection of higher fidelity disease data is unlikely, a way to temporally disaggregate annual disease incident data must be identified. |
| Description: | Technical Note |
| Gov't Doc #: | ERDC/GRL TN-19-4 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | https://hdl.handle.net/11681/35217 http://dx.doi.org/10.21079/11681/35217 |
| Size: | 9 pages / 485.9 Kb |
| Types of Materials: | PDF/A |
| Appears in Collections: | Technical Note |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-GRL TN-19-4.pdf | 485.94 kB | Adobe PDF |  View/Open |