A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts
Count data are often subject to underreporting, especially in infectious disease surveillance. We propose an approximate maximum likelihood method to fit count time series models from the endemic-epidemic class to underreported data. The approach is based on marginal moment matching where underrepor...
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| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Inc
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |