Impetus

The Improving Methods for Prediction of Epidemic Transmission Using Spatial Surveillance (impetus) study

Surveillance data from large and small spatial scales play an essential role in public health and scientific research, but these data are subject to missing observations, delays in reporting, and observation biases. The Improving Methods for Prediction of Epidemic Transmission Using Spatial Surveillance (impetus) study aims to develop and extend statistical and modeling methodologies to correct for biases in surveillance data, impute missing data, predict the course of epidemics, and appropriately characterize the uncertainty in estimates and predictions at relevant spatial scales.

Principal Investigator

Justin Lessler Associate Professor

Updates #impetus

1 year 9 months ago

The culmination of years of hard work from the #impetus project and a myriad of others! https://t.co/7Wlp8TnZQx
1 year 9 months ago

We are hiring a postdoc in ID Dynamics and Spatial Statistics. Come join a fun and collaborative group! https://t.co/STGGR8bUYb #impetus
2 years 2 months ago

Congrats to @hsalje on his new paper in Epidemics (w/@datcummings and @JustinLessler). https://t.co/fqNmbrtfvc #impetus
2 years 6 months ago

Nice job @reichlab and colleagues. #impetus https://t.co/sdaS3W2ebc

Resources

CRAN Package: IDSpatial Stats

The IDSpatialStats package implements various novel and standard clustering statistics and other analyses useful for understanding the spread of infectious disease.

GitHub Repository: IDSpatialStats

Source code collaboration site for IDSpatialStats package.

Funders

National Institute of Allergy and Infectious Disease

Collaborators

University of Florida Emerging Pathogens Institute

University of Massachusetts Amherst

Thailand Ministry of Public Health

Publications

Region-wide synchrony and traveling waves of dengue across eight countries in Southeast Asia.

van Panhuis WG, Choisy M, Xiong X, Chok NS, Akarasewi P, Iamsirithaworn S, Lam SK, Chong CK, Lam FC, Phommasak B, Vongphrachanh P, Bouaphanh K, Rekol H, Hien NT, Thai PQ, Duong TN, Chuang JH, Liu YL, Ng LC, Shi Y, Tayag EA, Roque VG Jr, Suy LLL, Jarman RG, Gibbons RV, Velasco JMS, Yoon IK, Burke DS, Cummings DAT.

Proc Natl Acad Sci U S A, 2015: 112: 13069-74, 10.1073/pnas.1501375112

Reduced vaccination and the risk of measles and other childhood infections post-Ebola.

Takahashi S, Metcalf CJ, Ferrari MJ, Moss WJ, Truelove SA, Tatem AJ, Grenfell BT, Lessler J.

Science, 2015: 347: 1240-2, 10.1126/science.aaa3438

A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges.

Kaufman J, Lessler J, Harry A, Edlund S, Hu K, Douglas J, Thoens C, Appel B, Käsbohrer A, Filter M.

PLoS Comput Biol, 2014: 10(7): e1003692, 10.1371/journal.pcbi.1003692

The spatial dynamics of dengue virus in Kamphaeng Phet, Thailand.

Bhoomiboonchoo P, Gibbons RV, Huang A, Yoon IK, Buddhari D, Nisalak A, Chansatiporn N, Thipayamongkolgul M, Kalanarooj S, Endy T, Rothman AL, Srikiatkhachorn A, Green S, Mammen MP, Cummings DA, Salje H.

PLoS Negl Trop Dis, 2014: 8: e3138, 10.1371/journal.pntd.0003138

Commentary: Back to the future with Sir Bradford Hill: statistical analysis with hospital-acquired infections.

Shardell M, Reich NG, Perencevich EN.

Int J Epidemiol, 2013: 42(5): 1509-1510, 10.1093/ije/dyt166

Infectious Disease Dynamics

Impetus

Impetus

Principal Investigator

Updates #impetus

Resources

Funders

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Impetus

Impetus

Principal Investigator

Updates #impetus

Resources

Funders

Collaborators

Publications

Pages