aedseo-package

_PACKAGE

<img src="figures/logo.png?package=aedseo&version=0.1.2" style="float: right" alt="logo" width="120">
A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates for consecutive time intervals and calculate the sum of cases (SoC) within those intervals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) tools:::Rd_expr_doi("10.1098/rspb.2006.3754") and Obadia et al. (2012) tools:::Rd_expr_doi("10.1186/1472-6947-12-147").

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A powerful tool for automating the early detection of seasonal epidemic
onsets in time series data. It offers the ability to estimate growth rates
for consecutive time intervals and calculate the sum of cases (SoC) within
those intervals. It is particularly useful for epidemiologists, public
health professionals, and researchers seeking to identify and respond to
seasonal epidemics in a timely fashion.
For reference on growth rate estimation, see Walling and Lipstich (2007)
<doi:10.1098/rspb.2006.3754> and Obadia et al. (2012) <doi:10.1186/1472-6947-12-147>.

Lasse Engbo Christiansen

aedseo

Automated and Early Detection of Seasonal Epidemic Onset

Kasper Schou Telkamp

Statens Serum Institut, SSI 

aedseo-package function

Maintainer: Lasse Engbo Christiansen <a href="/link/lsec%40ssi.dk?package=aedseo&version=0.1.2" data-mini-rdoc="aedseo::lsec@ssi.dk">lsec@ssi.dk</a> (<a href="https://orcid.org/0000-0001-5019-1931">ORCID</a>)
Authors:<ul>
<li>Kasper Schou Telkamp <a href="/link/kasper.telkamp%40gmail.com?package=aedseo&version=0.1.2" data-mini-rdoc="aedseo::kasper.telkamp@gmail.com">kasper.telkamp@gmail.com</a> (<a href="https://orcid.org/0009-0001-5126-0190">ORCID</a>)</li>
</ul>Other contributors:<ul>
<li>Statens Serum Institut, SSI [copyright holder, funder]</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates for consecutive time intervals and calculate the sum of cases (SoC) within those intervals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) tools:::Rd_expr_doi("10.1098/rspb.2006.3754") and Obadia et al. (2012) tools:::Rd_expr_doi("10.1186/1472-6947-12-147").

aedseo: Automated and Early Detection of Seasonal Epidemic Onset — aedseo-package

Maintainer: Lasse Engbo Christiansen <a href='mailto:lsec@ssi.dk'>lsec@ssi.dk</a> (<a href='https://orcid.org/0000-0001-5019-1931'>ORCID</a>)
Authors:<ul>
<li>Kasper Schou Telkamp <a href='mailto:kasper.telkamp@gmail.com'>kasper.telkamp@gmail.com</a> (<a href='https://orcid.org/0009-0001-5126-0190'>ORCID</a>)</li>
</ul>

Other contributors:<ul>
<li>Statens Serum Institut, SSI [copyright holder, funder]</li>
</ul>

aedseo-package: aedseo: Automated and Early Detection of Seasonal Epidemic Onset

Description

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Author

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