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These clusters were analysed individually to parameterise key epidemic measures: cumulative incidence, incidence rate, effective reproduction rate, nearest neighbour spread distances, epidemic length and the number of infected premises.
We explored the relationship between exponential growth of RSV epidemics and the seasonal epidemic characteristics of total epidemic size, days to peak, and epidemic length to assess predictions made early in the epidemic season.
Simple linear regression was used explore the relationship between three epidemic characteristics (final epidemic size, days to peak, and epidemic length) and exponential growth calculated from four weeks of daily case data.
The regression models provided estimates of epidemic season characteristics that were on average within 16% of observed epidemic season size, 11% of observed days to peak, and 8% of observed epidemic length.
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However, covariate shocks such as weather damage, or crop and livestock epidemics, shorten the length of their stays in the cities.
In contrast, covariate shocks, such as weather damages, or crop and livestock epidemics shorten the length of stay of migrants in the cities.
The length of the epidemic season was calculated as the epidemic season end day minus the epidemic season start day.
Background: Cholera is an endemic disease in Guinea Bissau and cholera outbreaks occur with inter-epidemic periods of different length.
Models that make more accurate predictions about the length of epidemics will allow health care professionals and medical facilities to prepare accordingly.
Though the Saudi-led coalition may have wanted to keep its war in Yemen at arm's length, the cholera epidemic — a "direct consequence" of two years of conflict — is not bound by borders.
We mathematically modeled AI dynamics for a closed biological system with no changes in bird demographics (no immigration, emigration, or natural mortality), where all of the initial population is susceptible, and birds that recover have long-term (> length of the epidemic curve) immunity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com