Dawn Zimmerman

Dr. Dawn Zimmerman

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 August 2022 in Communications Biology
Verified
Journal Article
Open access
PDF file
PPPranav S. Pandit
Pranav S. Pandit
SASimon J. Anthony
Simon J. Anthony
TGTracey Goldstein
Tracey Goldstein
KOKevin Olival
Kevin Olival
MDMegan M. Doyle
Megan M. Doyle
CJChristine K. Johnson
Christine K. Johnson
Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses.

7 April 2022 in American Journal of Primatology
Verified
Journal Article
Closed access
DZDawn Zimmerman
Dawn Zimmerman
SMStephanie Mitchell
Stephanie Mitchell
TWTiffany Marie Wolf
Tiffany Marie Wolf
JDJessica R. Deere
Jessica R. Deere
JNJean Bosco Noheri
Jean Bosco Noheri
JHJames M. Hassell
James M. Hassell

1 August 2021 in Preventive Veterinary Medicine
Verified
Journal Article
Closed access
EHEmily Hardgrove
Emily Hardgrove
DZDawn Zimmerman
Dawn Zimmerman
MFMichael von Fricken
Michael von Fricken
SDSharon Lynn Deem
Sharon Lynn Deem

1 December 2013 in American Journal of Veterinary Research
Verified
Journal Article
Closed access
DZDawn Zimmerman
Dawn Zimmerman
MMMark A. Mitchell
Mark A. Mitchell
BPBrittany Heggem Perry
Brittany Heggem Perry
Objective—To determine an efficient method for the collection of semen samples by means of electroejaculation, characterize spermatozoa quality and quantity, and determine the effect of refrigerated storage on motility of spermatozoa obtained from green iguanas (Iguana iguana). Animals—18 adult green iguanas. Procedures—Green iguanas were anesthetized, and semen samples were obtained by means of electroejaculation. Up to 3 series of electrostimulations were performed; the procedure was stopped after a semen sample was obtained. Various semen sample variables were evaluated. Results—Semen samples were obtained from 16 iguanas; most (n = 10) iguanas produced a semen sample after the second series of electrostimulations. Median semen sample volume was 0.05 mL. Mean spermatozoa concentration was 2 69.0 × 106 spermatozoa/mL. Median percentage of motile spermatozoa was 78%. The only morphological abnormality of spermatozoa was bent tails (mean percentage in a semen sample, 5.7%). Spermatozoa motility decreased significantly during refrigeration (4°C); median percentage motility after 24, 48, and 72 hours of refrigeration was 60%, 33%, and 0%, respectively. Conclusions and Clinical Relevance—Results of this study suggested electroejaculation can be performed to collect semen samples from green iguanas, characteristics of iguana semen samples are similar to those for semen samples obtained from other reptiles, and motility of iguana spermatozoa decreases during refrigeration within 48 to 72 hours.

4 November 2020 in The American Journal of Tropical Medicine and Hygiene
Verified
Journal Article
Open access
JHJames M. Hassell
James M. Hassell
DZDawn Zimmerman
Dawn Zimmerman
EFEric Fevre
Eric Fevre
JZJakob Zinsstag
Jakob Zinsstag
SBSalome A. Bukachi
Salome A. Bukachi
HWHannah Wild
Hannah Wild
The effects of COVID-19 have gone undocumented in nomadic pastoralist communities across Africa, which are largely invisible to health surveillance systems despite the fact that they are of key significance in the setting of emerging infectious disease. We expose these landscapes as a “blind spot” in global health surveillance, elaborate on the ways in which current health surveillance infrastructure is ill-equipped to capture pastoralist populations and the animals with which they coexist, and highlight the consequential risks of inadequate surveillance among pastoralists and their livestock to global health. As a platform for further dialogue, we present concrete solutions to address this gap.

27 July 2017 in American Journal of Primatology
Verified
Journal Article
Closed access
PDF file
JHJames M. Hassell
James M. Hassell
DZDawn Zimmerman
Dawn Zimmerman
MCMichael R. Cranfield
Michael R. Cranfield
KGKirsten Gilardi
Kirsten Gilardi
AMAntoine Mudakikwa
Antoine Mudakikwa
LLLinda J. Lowenstine
Linda J. Lowenstine