Parameters to model the infectiousness profile of different diseases.

NIAID Data Ecosystem2026-05-01 收录

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https://figshare.com/articles/dataset/Parameters_to_model_the_infectiousness_profile_of_different_diseases_/25463742 数据链接链接失效反馈

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Parameters to model the infectiousness profile of different diseases.

创建时间：

2024-03-22

Source data for "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020"

传染病传播建模

卫星超额死亡率估计

Source data for the model fitting code at https://doi.org/10.5281/zenodo.5525349, accompanying the article "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimat

NIAID Data Ecosystem80

Optimal combinations of control strategies and cost-effective analysis for visceral leishmaniasis disease transmission

传染病传播建模

干预策略优化

Visceral leishmaniasis (VL) is a deadly neglected tropical disease that poses a serious problem in various countries all over the world. Implementation of various intervention strategies fail in contr

Figshare2017-02-21 更新40

A dynamic power-law sexual network model of gonorrhoea outbreaks

传染病传播建模

性传播疾病干预评估

Human networks of sexual contacts are dynamic by nature, with partnerships forming and breaking continuously over time. Sexual behaviours are also highly heterogeneous, so that the number of partners

Figshare2019-03-20 更新20

Determinants of dengue virus dispersal in the Americas

传染病传播建模

系统发育地理学

Dengue viruses (DENV) are classified into four serotypes, each of which contains multiple genotypes. DENV genotypes introduced into the Americas over the past five decades have exhibited different rat

NIAID Data Ecosystem50

Model parameter details.

传染病传播建模

干预效果评估

Background In March 2022, the Omicron variant of SARS-CoV-2 spread rapidly in Shanghai, China. The city adopted strict non-pharmacological intervention (NPI) measures, including lockdown (implemented

NIAID Data Ecosystem40

Parameters to model the infectiousness profile of different diseases.

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