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1 g to explore samples from a recent Theiler's disease outbreak.
2 acteristics of this novel infection during a disease outbreak.
3 urveillance and/or emergency management of a disease outbreak.
4 ontain bioterrorism or a naturally occurring disease outbreak.
5 the causal relationship between feed and the disease outbreak.
6 ological assays in the face of an infectious disease outbreak.
7 ems in the context of an emerging infectious disease outbreak.
8 omes more and more routine during infectious disease outbreaks.
9 ing analytical tool for ensemble modeling of disease outbreaks.
10 tance in order to prevent or suppress costly disease outbreaks.
11 to rapidly investigate potential infectious disease outbreaks.
12 so cause a structural delay to the spread of disease outbreaks.
13 ries models for the prediction of infectious disease outbreaks.
14 bacteria in food can cause serious foodborne disease outbreaks.
15 to transmission can reveal new insights into disease outbreaks.
16 eas deemed high risk for vaccine-preventable disease outbreaks.
17 ehavior spread in predicting and controlling disease outbreaks.
18 volves avoiding risks associated with costly disease outbreaks.
19 ributing to vaccine hesitancy, refusals, and disease outbreaks.
20 d high precision investigation of infectious disease outbreaks.
21 re now frequently cited agents of waterborne disease outbreaks.
22 forecast national annual rates of infectious disease outbreaks.
23 ex evolutionary history that predates recent disease outbreaks.
24 tics are crucial in mitigating the effect of disease outbreaks.
25 st important steps for effective response to disease outbreaks.
26 terrorism and as a natural cause of sporadic disease outbreaks.
27 t of carriers are crucial for the control of disease outbreaks.
28 in real time for investigations of bacterial disease outbreaks.
29 but frequently observed cause of food-borne disease outbreaks.
30 from California sea lions during unexplained disease outbreaks.
31 s to enhance our ability to detect foodborne disease outbreaks.
32 e analysis of genetic data in the context of disease outbreaks.
33 ther cross-species transmissions and ensuing disease outbreaks.
34 invasive disease burden and sometimes cause disease outbreaks.
35 hold the key to interpreting the patterns of disease outbreaks.
36 of highly transmissible pathogen strains and disease outbreaks.
37 d by typing 40 isolates from four food-borne disease outbreaks.
38 prevent adenovirus-related acute respiratory disease outbreaks.
39 ified protozoan parasites causing waterborne disease outbreaks.
40 entifying, tracking, and intervening against disease outbreaks.
41 ful new tool for investigation of infectious disease outbreaks.
42 data on large-scale bioterrorist attacks and disease outbreaks.
43 n epidemiologic investigations of infectious-disease outbreaks.
44 or high- resolution epidemiologic studies of disease outbreaks.
45 ective behaviours and their vulnerability to disease outbreaks.
46 unities in the course of several respiratory disease outbreaks.
47 the impact of network dynamics on potential disease outbreaks.
48 , disease forecasting, and adaption to other disease outbreaks.
49 empts to track and control future infectious disease outbreaks.
50 s is a powerful tool for understanding viral disease outbreaks.
51 onent of contingency planning and control of disease outbreaks.
52 for both preventative healthcare and during disease outbreaks.
53 be key drivers of the dynamics of infectious disease outbreaks.
54 of environmental and climate data to predict disease outbreaks.
55 immunologically naive population at risk for disease outbreaks.
56 the formal epidemiological investigation of disease outbreaks.
57 ing to predict variation in the magnitude of disease outbreaks.
58 (NoV) is the predominant cause of foodborne disease outbreaks.
59 se control as well as the emergence of human disease outbreaks.
60 ighly valuable in controlling and preventing diseases outbreaks.
61 iated with impacts on vaccine programmes and disease outbreaks; 1726 (21%) with beliefs, awareness, a
62 ssistance investigations were for infectious disease outbreaks (86%), with a relatively limited numbe
64 zed to be the most common cause of foodborne disease outbreaks, accounting for 41% of all confirmed f
65 network dynamics on the predicted size of a disease outbreak across several groups of Verreaux's sif
66 rban raccoon population, the likelihood of a disease outbreak affecting the majority of the populatio
72 n for the 2001 United Kingdom foot and mouth disease outbreak and compare the efficacy of different c
73 t allows for models to be created prior to a disease outbreak and has the ability to handle large dat
75 pathogen genomes facilitate the tracking of disease outbreaks and allow relationships between strain
76 a consortium in order to assess triggers of disease outbreaks and devise appropriate monitoring tool
78 pidemiologically related isolates during GAS disease outbreaks and facilitate understanding and contr
79 en from military recruits during respiratory disease outbreaks and for follow up surveillance at seve
80 finfish are more frequently associated with disease outbreaks and host switches compared to domestic
81 reater attention in assessing risks of prion disease outbreaks and prospects for their control in bot
82 the main cause of serogroup C meningococcal disease outbreaks and sporadic meningococcal disease in
84 tial for identifying and tracking infectious disease outbreaks and to improve our knowledge of the po
87 traits of the primary case of an infectious disease outbreak, and the circumstances for their aetiol
88 vironmental drivers is necessary to forecast disease outbreaks, and to predict future changes in cora
89 f choice for the analysis of densely sampled disease outbreaks, and will form a rigorous framework fo
90 lamblia, the most common cause of waterborne disease outbreaks; and the large group of spore-forming
94 iruses, and torradoviruses has led to global disease outbreaks as well as multiple paradigm shifts.
95 ysis of populations of pathogenic species in disease outbreaks, as well as for large-scale diversity
96 ing to emerging infectious and noninfectious disease outbreaks, assisting in disaster response, and e
97 ial, temporal and species-level variation in disease outbreaks associated with extreme weather events
98 ed during a well-characterized meningococcal disease outbreak at the University of Southampton, Unite
100 S/SIGNIFICANCE: Draft genomes of isolates of disease outbreak bacteria enable high throughput primer
101 ant parameter in the management of filovirus disease outbreaks because viral load correlates with sev
102 ributable to mass coral bleaching events and disease outbreaks, both of which are linked to anthropog
103 ing the role of locally produced inoculum in disease outbreaks, but evidence suggests multiple source
104 investigations were responses to infectious disease outbreaks, but the proportion of investigations
106 d the usefulness of characterizing foodborne disease outbreaks by epidemiologic criteria and also con
107 suggested to augment the risk of infectious disease outbreaks by extending the seasonal window for p
109 tive agent in drinking water associated with disease outbreaks, can be harbored by and released from
110 experimental candidates against a potential disease outbreak caused by other members of the genus Eb
114 virus infection occurred, and only one other disease outbreak (caused by Mycobacterium species) was r
116 five datasets on densely sampled infectious disease outbreaks, covering a wide range of epidemiologi
117 stem to monitor health conditions and detect disease outbreaks; creation and implementation of 6 envi
118 ons surrounding how to control an infectious disease outbreak currently rely on a subjective process
119 individual becomes infected in an infectious disease outbreak depends on many interconnected risk fac
125 oduced the 3 largest arboviral neuroinvasive disease outbreaks ever recorded in the United States.
129 easingly being identified in produce-related disease outbreaks, fresh produce is a rarely recognized
130 but are sufficiently general to forecast any disease outbreak, given incidence or case count data.
131 enome sequence data to investigate bacterial disease outbreaks has been keenly anticipated in many qu
132 sequencing methods to investigate historical disease outbreaks has provided us with an unprecedented
136 yping methods for the detection of foodborne disease outbreaks have limitations that reduce their use
137 l deployed to remote areas during infectious disease outbreaks have limited access to mechanical and
140 epidemiology of Salmonella and investigating disease outbreaks; however, production and quality contr
144 irus was identified as the cause of a severe disease outbreak in commercial laying chicken farms in M
155 The magnitude of the 2013-2016 Ebola virus disease outbreak in West Africa was unprecedented, with
157 s a mosquito-borne zoonotic pathogen causing disease outbreaks in Africa and the Arabian Peninsula.
158 is knowledge should aid in the prevention of disease outbreaks in captive macaques and supports the g
159 health officials when addressing Ebola virus disease outbreaks in countries and seasons where malaria
166 trasting the ecology of two different recent disease outbreaks in North America caused by West Nile v
168 aviridae) associated with high case fatality disease outbreaks in regions of Africa, Europe, and Asia
171 s globally, the principal cause of foodborne disease outbreaks in the United States, a key health car
173 es comparable to those recently reported for disease outbreaks in wild populations are not sustainabl
174 L database that captures metadata useful for disease outbreak investigations, and scripts for downloa
175 h mortality of corals affected suggests this disease outbreak is arguably one of the most lethal ever
176 ncing pathogen samples during a communicable disease outbreak is becoming an increasingly common proc
179 ping, and vaccine matching of FMD virus from disease outbreaks is critical for enabling the implement
180 nt to which media interest during infectious disease outbreaks is indicative of trends of reported in
182 uch relationships during naturally occurring disease outbreaks is rare, and identifying causal links
183 The size of the west African Ebola virus disease outbreak led to the urgent establishment of Ebol
184 eef degradation predates coral bleaching and disease outbreaks linked to anthropogenic climate change
185 uman survivor of the 1995 Kikwit Ebola virus disease outbreak maintained circulating antibodies again
186 tegies for containing an emerging infectious disease outbreak must be nonpharmaceutical when drugs or
188 we analyzed the entire WHO public record of Disease Outbreak News reports from 1996 to 2009 to chara
192 ble faster, more precise responses to future disease outbreaks of bacterial origin, and help to mitig
195 o test this approach, we introduce simulated disease outbreaks of varying shapes, magnitudes, and dur
197 ssential for several reasons: (i) infectious disease outbreaks often originate from wild fauna; (ii)
198 etwork by its own spreading dynamics or by a disease outbreak on a contact network, but that the dise
199 s encountered the largest Ebola virus (EBOV) disease outbreak on record, and Sierra Leone is the wors
201 d of warming and an increasing occurrence of disease outbreaks, posing a significant threat to marine
202 lue of information methods can be applied to disease outbreak problems such as FMD in order to invest
203 ntroduction of pathogens and discovering new disease outbreaks quickly, and discussing why a plant pa
204 y vaccination may be effective in preventing disease outbreaks, reaching and sustaining high immunisa
206 rically associated with community-associated disease outbreaks recovered from cultures in both hospit
208 e method using data from multiple infectious disease outbreaks reported in the United States of Ameri
210 ning for the Horn of Africa that facilitated disease outbreak response and mitigation activities.
211 computational resources to simulate a set of disease outbreak scenarios, tracing billions of stochast
212 associations, suggesting that community-wide disease outbreaks should be more likely to occur when ma
213 lent NDV isolates and those recovered during disease outbreaks since the 1970s are phylogenetically d
218 limited the 2014 Nigerian Ebola virus (EBOV) disease outbreak to 20 reported cases and 8 fatalities.
224 he 2013-2016 West African Ebola virus (EBOV) disease outbreak was the largest filovirus outbreak to d
225 ch genomic data can help us understand viral disease outbreaks, we aim to provide a resource that wil
226 urately detect and identify pathogens during disease outbreaks, whether they are natural or engineere
230 hich have demonstrated potential for natural disease outbreaks, yet no licensed vaccines are availabl
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