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Dive into the research topics where Katherine MacMillan is active.

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Featured researches published by Katherine MacMillan.


PLOS ONE | 2012

Flea Diversity as an Element for Persistence of Plague Bacteria in an East African Plague Focus

Rebecca J. Eisen; Jeff N. Borchert; Joseph T. Mpanga; Linda A. Atiku; Katherine MacMillan; Karen A. Boegler; John A. Montenieri; Andrew J. Monaghan; Kenneth L. Gage

Plague is a flea-borne rodent-associated zoonotic disease that is caused by Yersinia pestis and characterized by long quiescent periods punctuated by rapidly spreading epidemics and epizootics. How plague bacteria persist during inter-epizootic periods is poorly understood, yet is important for predicting when and where epizootics are likely to occur and for designing interventions aimed at local elimination of the pathogen. Existing hypotheses of how Y. pestis is maintained within plague foci typically center on host abundance or diversity, but little attention has been paid to the importance of flea diversity in enzootic maintenance. Our study compares host and flea abundance and diversity along an elevation gradient that spans from low elevation sites outside of a plague focus in the West Nile region of Uganda (∼725–1160 m) to higher elevation sites within the focus (∼1380–1630 m). Based on a year of sampling, we showed that host abundance and diversity, as well as total flea abundance on hosts was similar between sites inside compared with outside the plague focus. By contrast, flea diversity was significantly higher inside the focus than outside. Our study highlights the importance of considering flea diversity in models of Y. pestis persistence.


American Journal of Tropical Medicine and Hygiene | 2011

An Acarologic Survey and Amblyomma americanum Distribution Map with Implications for Tularemia Risk in Missouri

Heidi E. Brown; Karen F. Yates; Gabrielle Dietrich; Katherine MacMillan; Christine B. Graham; Sara M. Reese; Wm. Steve Helterbrand; William L. Nicholson; Keith Blount; Paul S. Mead; Sarah L. Patrick; Rebecca J. Eisen

In the United States, tickborne diseases occur focally. Missouri represents a major focus of several tickborne diseases that includes spotted fever rickettsiosis, tularemia, and ehrlichiosis. Our study sought to determine the potential risk of human exposure to human-biting vector ticks in this area. We collected ticks in 79 sites in southern Missouri during June 7-10, 2009, which yielded 1,047 adult and 3,585 nymphal Amblyomma americanum, 5 adult Amblyomma maculatum, 19 adult Dermacentor variabilis, and 5 nymphal Ixodes brunneus. Logistic regression analysis showed that areas posing an elevated risk of exposure to A. americanum nymphs or adults were more likely to be classified as forested than grassland, and the probability of being classified as elevated risk increased with increasing relative humidity during the month of June (30-year average). Overall accuracy of each of the two models was greater than 70% and showed that 20% and 30% of the state were classified as elevated risk for human exposure to nymphs and adults, respectively. We also found a significant positive association between heightened acarologic risk and counties reporting tularemia cases. Our study provides an updated distribution map for A. americanum in Missouri and suggests a wide-spread risk of human exposure to A. americanum and their associated pathogens in this region.


American Journal of Tropical Medicine and Hygiene | 2011

Landscape and Residential Variables Associated with Plague-Endemic Villages in the West Nile Region of Uganda

Katherine MacMillan; Russell E. Enscore; Asaph Ogen-Odoi; Jeff N. Borchert; Nackson Babi; Gerald Amatre; Linda A. Atiku; Paul S. Mead; Kenneth L. Gage; Rebecca J. Eisen

Plague, caused by the bacteria Yersinia pestis, is a severe, often fatal disease. This study focuses on the plague-endemic West Nile region of Uganda, where limited information is available regarding environmental and behavioral risk factors associated with plague infection. We conducted observational surveys of 10 randomly selected huts within historically classified case and control villages (four each) two times during the dry season of 2006 (N = 78 case huts and N = 80 control huts), which immediately preceded a large plague outbreak. By coupling a previously published landscape-level statistical model of plague risk with this observational survey, we were able to identify potential residence-based risk factors for plague associated with huts within historic case or control villages (e.g., distance to neighboring homestead and presence of pigs near the home) and huts within areas previously predicted as elevated risk or low risk (e.g., corn and other annual crops grown near the home, water storage in the home, and processed commercial foods stored in the home). The identified variables are consistent with current ecologic theories on plague transmission dynamics. This preliminary study serves as a foundation for future case control studies in the area.


American Journal of Tropical Medicine and Hygiene | 2010

Assessing Human Risk of Exposure to Plague Bacteria in Northwestern Uganda Based on Remotely Sensed Predictors

Rebecca J. Eisen; Kevin S. Griffith; Jeff N. Borchert; Katherine MacMillan; Titus Apangu; Nicholas Owor; Sara Acayo; Rogers Acidri; Emily Zielinski-Gutierrez; Anna M. Winters; Russell E. Enscore; Martin E. Schriefer; Charles B. Beard; Kenneth L. Gage; Paul S. Mead

Plague, a life-threatening flea-borne zoonosis caused by Yersinia pestis, has most commonly been reported from eastern Africa and Madagascar in recent decades. In these regions and elsewhere, prevention and control efforts are typically targeted at fine spatial scales, yet risk maps for the disease are often presented at coarse spatial resolutions that are of limited value in allocating scarce prevention and control resources. In our study, we sought to identify sub-village level remotely sensed correlates of elevated risk of human exposure to plague bacteria and to project the model across the plague-endemic West Nile region of Uganda and into neighboring regions of the Democratic Republic of Congo. Our model yielded an overall accuracy of 81%, with sensitivities and specificities of 89% and 71%, respectively. Risk was higher above 1,300 meters than below, and the remotely sensed covariates that were included in the model implied that localities that are wetter, with less vegetative growth and more bare soil during the dry month of January (when agricultural plots are typically fallow) pose an increased risk of plague case occurrence. Our results suggest that environmental and landscape features play a large part in classifying an area as ecologically conducive to plague activity. However, it is clear that future studies aimed at identifying behavioral and fine-scale ecological risk factors in the West Nile region are required to fully assess the risk of human exposure to Y. pestis.


American Journal of Tropical Medicine and Hygiene | 2012

Climate Predictors of the Spatial Distribution of Human Plague Cases in the West Nile Region of Uganda

Katherine MacMillan; Andrew J. Monaghan; Titus Apangu; Kevin S. Griffith; Paul S. Mead; Sarah Acayo; Rogers Acidri; Sean M. Moore; Joseph T. Mpanga; Russel E. Enscore; Kenneth L. Gage; Rebecca J. Eisen

East Africa has been identified as a region where vector-borne and zoonotic diseases are most likely to emerge or re-emerge and where morbidity and mortality from these diseases is significant. Understanding when and where humans are most likely to be exposed to vector-borne and zoonotic disease agents in this region can aid in targeting limited prevention and control resources. Often, spatial and temporal distributions of vectors and vector-borne disease agents are predictable based on climatic variables. However, because of coarse meteorological observation networks, appropriately scaled and accurate climate data are often lacking for Africa. Here, we use a recently developed 10-year gridded meteorological dataset from the Advanced Weather Research and Forecasting Model to identify climatic variables predictive of the spatial distribution of human plague cases in the West Nile region of Uganda. Our logistic regression model revealed that within high elevation sites (above 1,300 m), plague risk was positively associated with rainfall during the months of February, October, and November and negatively associated with rainfall during the month of June. These findings suggest that areas that receive increased but not continuous rainfall provide ecologically conducive conditions for Yersinia pestis transmission in this region. This study serves as a foundation for similar modeling efforts of other vector-borne and zoonotic disease in regions with sparse observational meteorologic networks.


American Journal of Tropical Medicine and Hygiene | 2012

Modifiable Risk Factors for West Nile Virus Infection during an Outbreak—Arizona, 2010

Katherine B. Gibney; James Colborn; Steven Baty; Andrean M. Bunko Patterson; Tammy Sylvester; Graham Briggs; Tasha Stewart; Craig Levy; Ken Komatsu; Katherine MacMillan; Mark J. Delorey; John-Paul Mutebi; Marc Fischer; J. Erin Staples

West Nile virus (WNV) is the leading cause of mosquito-borne disease in the United States; however, risk factors for infection are poorly defined. We performed a case-control study to identify modifiable risk factors for WNV infection. Case-patients (N = 49) had laboratory evidence of recent WNV infection, whereas control-subjects (N = 74) had negative WNV serology. We interviewed participants, surveyed households, and assessed environmental data. WNV infection was associated with living in or near Water District X within Gilbert Township (adjusted odds ratio [aOR] 5.2; 95% confidence interval [95% CI] = 1.5-18.1), having water-holding containers in their yard (aOR 5.0; 95% CI = 1.5-17.3), and not working or attending school outside the home (aOR 2.4; 95% CI = 1.1-5.5). During this outbreak, WNV infection was likely primarily acquired peri-domestically with increased risk associated with potential mosquito larval habitats around the home and neighborhood.


Journal of Applied Meteorology and Climatology | 2012

A Regional Climatography of West Nile, Uganda, to Support Human Plague Modeling

Andrew J. Monaghan; Katherine MacMillan; Sean M. Moore; Paul S. Mead; Mary H. Hayden; Rebecca J. Eisen

AbstractThe West Nile region in northwestern Uganda is a focal point for human plague, which peaks in boreal autumn and is spread by fleas that travel on rodent hosts. The U.S. Centers for Disease Control and Prevention is collaborating with the National Center for Atmospheric Research to quantitatively address the linkages between climate and human plague in this region. The aim of this paper is to advance knowledge of the climatic conditions required to maintain enzootic cycles and to trigger epizootic cycles and ultimately to target limited surveillance, prevention, and control resources. A hybrid dynamical–statistical downscaling technique was applied to simulations from the Weather Research and Forecasting Model (WRF) to generate a multiyear 2-km climate dataset for modeling plague in the West Nile region. The resulting dataset resolves the spatial variability and annual cycle of temperature, humidity, and rainfall in West Nile relative to satellite-based and in situ records. Topography exerts a firs...


Vector-borne and Zoonotic Diseases | 2011

Using Wild White-Tailed Deer to Detect Eastern Equine Encephalitis Virus Activity in Maine

John-Paul Mutebi; Charles Lubelczyk; Rebecca J. Eisen; Nicholas A. Panella; Katherine MacMillan; Marvin S. Godsey; Bethany N. Swope; Ginger Young; Robert P. Smith; Lee Kantar; Sara Robinson; Stephen Sears

Serum from 226 free-ranging white-tailed deer (Odocoileus virginianus) was screened for Eastern Equine Encephalitis Virus (EEEV) antibodies using plaque reduction neutralization tests. EEEV antibodies were detected in 7.1% of samples. This is the first time EEEV antibodies have been detected in O. virginianus populations in the state of Maine (ME). The highest percentage of EEEV positive sera was in Somerset County (19%) in central ME, and this is the first time that EEEV activity has been detected in that County. EEEV RNA was not detected in any of the 150 harvested deer brain samples submitted to the ME Department of Inland Fisheries and Wildlife as a part of screening for Chronic Wasting Disease. This suggests that screening deer brains is not an efficient method to detect EEEV activity. For each serum sample tested, the geographic location in which the deer was harvested was recorded. Significant spatial clustering of antibody-positive sera samples was not detected. Relative to seronegative deer, seropositive deer were slightly more likely to be harvested in nonforested areas compared with forested areas. Results indicate that screening of free-ranging deer sera can be a useful tool for detecting EEEV activity in ME and other parts of North America.


American Journal of Tropical Medicine and Hygiene | 2013

Serological Evidence for Eastern Equine Encephalitis Virus Activity in White-Tailed Deer, Odocoileus virginianus, in Vermont, 2010

Erica Berl; Rebecca J. Eisen; Katherine MacMillan; Bethany N. Swope; Kali D. Saxton-Shaw; Alan C. Graham; Jon P. Turmel; John-Paul Mutebi

Serum samples from 489 free-ranging white-tailed deer (Odocoileus virginianus) were screened for antibodies against the Eastern equine encephalitis virus (EEEV) using plaque reduction neutralization tests (PRNTs). EEEV antibodies were detected in 10.2% of serum samples. This is the first evidence that EEEV is present in Vermont. Serum was collected from deer in all 14 counties in the state, and positive EEEV sera were found in 12 (85%) of 14 counties, suggesting statewide EEEV activity in Vermont. Analysis of the spatial distribution of PRNT-positive samples revealed a random distribution of EEEV throughout the state. The results indicate widespread EEEV activity in Vermont and suggest that EEEV is not a recent introduction to the state but that EEEV activity has not been detected until now.


American Journal of Tropical Medicine and Hygiene | 2014

Identification of Risk Factors for Plague in the West Nile Region of Uganda

Rebecca J. Eisen; Katherine MacMillan; Linda A. Atiku; Joseph T. Mpanga; Emily Zielinski-Gutierrez; Christine B. Graham; Karen A. Boegler; Russell E. Enscore; Kenneth L. Gage

Plague is an often fatal, primarily flea-borne rodent-associated zoonosis caused by Yersinia pestis. We sought to identify risk factors for plague by comparing villages with and without a history of human plague cases within a model-defined plague focus in the West Nile Region of Uganda. Although rat (Rattus rattus) abundance was similar inside huts within case and control villages, contact rates between rats and humans (as measured by reported rat bites) and host-seeking flea loads were higher in case villages. In addition, compared with persons in control villages, persons in case villages more often reported sleeping on reed or straw mats, storing food in huts where persons sleep, owning dogs and allowing them into huts where persons sleep, storing garbage inside or near huts, and cooking in huts where persons sleep. Compared with persons in case villages, persons in control villages more commonly reported replacing thatch roofing, and growing coffee, tomatoes, onions, and melons in agricultural plots adjacent to their homesteads. Rodent and flea control practices, knowledge of plague, distance to clinics, and most care-seeking practices were similar between persons in case villages and persons in control villages. Our findings reinforce existing plague prevention recommendations and point to potentially advantageous local interventions.

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Rebecca J. Eisen

Centers for Disease Control and Prevention

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Kenneth L. Gage

Centers for Disease Control and Prevention

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Jeff N. Borchert

Centers for Disease Control and Prevention

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Karen A. Boegler

Centers for Disease Control and Prevention

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Paul S. Mead

Centers for Disease Control and Prevention

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Christine B. Graham

Centers for Disease Control and Prevention

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Russell E. Enscore

Centers for Disease Control and Prevention

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Joseph T. Mpanga

Uganda Virus Research Institute

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Linda A. Atiku

Uganda Virus Research Institute

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Andrew J. Monaghan

National Center for Atmospheric Research

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