Collin M Timm
Biographic Data
| ID | 6072543 |
|---|---|
| NAME | Collin M Timm |
| GIVEN NAMES | Collin M |
| FAMILY NAME | Timm |
| SIGNATURE | TIMM C M |
| AFFILIATIONS | Catherine C. Pollack is with the Decision Systems Group, Johns Hopkins University Applied Physics Laboratory, Laurel, MD. Georgia H. Redd and Collin M. Timm are with the Applied Biological Sciences Group, Johns Hopkins University Applied Physics Laboratory. Yukari C. Manabe is with the Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD. |
| ORCID | 0000-0002-7804-5044 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Covid-19 Policies and Sexually Transmitted Infections in 22 US States, January 2020–December 2021
Objectives. To quantify the effects of 5 jurisdiction-level COVID-19 policies on chlamydia, gonorrhea, and syphilis rates in 22 US jurisdictions between January 2020 and December 2021. Methods. We applied a mixed-effects, negative binomial, interrupted time series model to estimate the impact that each policy of interest had on reported cases. Results. Mandatory stay-at-home periods were associated with a decrease in reported chlamydia (incident …
No prominent works on this page.
Covid-19 Policies and Sexually Transmitted Infections in 22 US States, January 2020–December 2021
Objectives. To quantify the effects of 5 jurisdiction-level COVID-19 policies on chlamydia, gonorrhea, and syphilis rates in 22 US jurisdictions between January 2020 and December 2021. Methods. We applied a mixed-effects, negative binomial, interrupted time series model to estimate the impact that each policy of interest had on reported cases. Results. Mandatory stay-at-home periods were associated with a decrease in reported chlamydia (incident …
Chlamydia (1 work) · Confidence interval (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · COVID-19 and healthcare impacts (1 work) · COVID-19 Digital Contact Tracing (1 work) · Demography (1 work) · Family medicine (1 work) · Gonorrhea (1 work) · Human immunodeficiency virus (HIV) (1 work) · Immunology (1 work)