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1 mics, including the 2014 Ebola and 2015 Zika epidemics.
2 ations of our results in the context of ZIKV epidemics.
3 antial morbidity and mortality during annual epidemics.
4 at similar evolutionary events occur in most epidemics.
5 e parameter estimation and prediction during epidemics.
6 iruses are the primary cause of seasonal flu epidemics.
7 an even stronger effect on annual influenza epidemics.
8 d delayed the trajectory of influenza season epidemics.
9 chastic compartmental transmission models of epidemics.
10 sed incidence of microcephaly in recent ZIKV epidemics.
11 ogen increasingly likely to cause widespread epidemics.
12 n relatively ineffective in combating recent epidemics.
13 ivir) are important for mitigating influenza epidemics.
14 ratory systems and networks in responding to epidemics.
15 e a large impact on reducing the severity of epidemics.
16 , that occurs in local outbreaks or seasonal epidemics.
17 ces designed to minimize the extent of Ebola epidemics.
18 may be accelerating the obesity and diabetes epidemics.
19 ributes to the shaping of infectious disease epidemics.
20 for the cross-continental spread of the HCV epidemics.
21 l can have a good role in containing network epidemics.
22 anation on the nature of recurrent local RSV epidemics.
23 e regularity and spatiotemporal coherence of epidemics.
24 chanisms and also may help to predict future epidemics.
25 and tempo of virus dispersal during emerging epidemics.
26 Epidemiology is the study of epidemics.
27 tempo of pathogen dispersal during emerging epidemics.
28 crucial priority for halting the HIV and HCV epidemics.
29 ear, to control potentially explosive dengue epidemics.
30 help anticipate and guide the mitigation of epidemics.
31 virus, influenza B virus causes seasonal flu epidemics.
32 ited variant persistence between consecutive epidemics.
33 proved to be important for several livestock epidemics.
34 ay lead to better control of their local HIV epidemics.
35 lso a potential need for prophylactic use in epidemics.
36 nsal rats of cities undergoing severe plague epidemics.
37 re cost-effective interventions and emerging epidemics.
38 s is battling obesity and heart failure (HF) epidemics.
39 affects predictability of infectious disease epidemics.
40 ormation in the control of malicious network epidemics.
41 etroviral therapy (ART) to control local HIV epidemics.
42 ical male circumcision (VMMC) in generalized epidemics.
43 n Texas and the potential for future measles epidemics.
44 educe the country's growing HIV risk and STI epidemics.
45 hip between variability of climate and konzo epidemics.
46 ing characteristically as recurrent seasonal epidemics.
47 t can be used to rapidly respond to emerging epidemics.
48 ion and consequently the nature of influenza epidemics.
49 communication and resource allocation during epidemics.
50 f data for measuring key drivers of seasonal epidemics.
51 facilitated transmission during recent ZIKV epidemics.
52 on and prediction using stochastic models of epidemics.
53 the 2016-17 epidemic compared with previous epidemics.
54 ccurred from January to April and in regular epidemics.
55 cy outcomes during Ebola virus disease (EVD) epidemics.
56 o the swine industry worldwide during recent epidemics.
57 ons and ultimately the magnitude of parasite epidemics.
58 ns to reconstruct transmission histories and epidemics.
59 to greatly reduced vaccine uptake and large epidemics.
60 y the global HIV and hepatitis C virus (HCV) epidemics.
61 epidemic was similar to that in the previous epidemics.
62 us identify the source of current and future epidemics.
63 will help to inform interventions in future epidemics.
64 ntial of widespread viral haemorrhagic fever epidemics.
65 ecology and evolution of infectious disease epidemics.
66 , and had more confirmed cases than previous epidemics.
67 gens, particularly viruses that cause lethal epidemics.
68 y reduce transmission and aid the control of epidemics.
69 idity and mortality, with worldwide seasonal epidemics.
70 te for the analysis of future mosquito-borne epidemics.
71 to provide lasting protection from seasonal epidemics.
72 etter strategies for prevention of livestock epidemics.
73 d treatment might improve care in future EVD epidemics.
74 helping to investigate disease outbreaks and epidemics.
75 enza vaccines are needed to control seasonal epidemics.
76 or importance for monitoring and controlling epidemics.
77 asures such as resistant cultivars constrain epidemics.
80 ted by test-negative design during 3 A(H3N2) epidemics (2010-2011, 2012-2013, 2014-2015) in Canada.
81 y) were higher than those in the first three epidemics (39% [52 of 134], 55% [169 of 306], and 56% [1
82 d rural residents in the 2015-16 and 2016-17 epidemics (63% [72 of 114] and 61% [274 of 447], respect
83 care strategies in the more generalised HIV epidemics across sub-Saharan Africa, including Malawi.
84 ymptomatic, but in countries at risk of ZIKV epidemics, adequate intensive care bed capacity is requi
85 in areas with Zika virus (ZIKV) outbreaks or epidemics adopt prophylactic measures to reduce or elimi
86 quito-transmitted flavivirus that now causes epidemics affecting millions of people on multiple conti
88 enza, and growth rates of seasonal influenza epidemics among different age groups in Queensland, Aust
90 nants have in mitigating or potentiating HIV epidemics and access to care for FSWs is poorly understo
91 ort-term surveillance that focuses on single epidemics and acutely ill individuals, the subtle dynami
92 does poorly in studying anything other than epidemics and collections of numerators and denominators
95 ons provide an explanation for recurrent RSV epidemics and have potential implications on the long-te
96 ary history to accurately reconstruct recent epidemics and identify the molecular and environmental f
97 1950s, has since reemerged to cause several epidemics and millions of infections throughout the worl
100 Influenza A viruses (IAVs) cause seasonal epidemics and occasional pandemics, representing a serio
109 diffusely as response strategy to influenza epidemics and pandemics, and the fact that some countrie
112 mary role of epidemiology is to identify the epidemics and parameters of interest of host, agent, and
113 nfluenza virus in vivo IMPORTANCE: Influenza epidemics and recurring pandemics are responsible for si
116 H3N2 viruses did not persist locally between epidemics and were reseeded from East and Southeast Asia
118 uld improve care and facilitate detection of epidemics and, thereby, public health interventions.
119 traditional approaches used to investigate "epidemics" and their close relationship with preventive
120 read of social norms, innovations, and viral epidemics, and "anticoordination," where too many neighb
122 d the epidemiological characteristics across epidemics, and estimated the risk of death, mechanical v
123 s in environmental temperature caused larger epidemics, and population mixing reduced overall epidemi
124 used to forecast invasive bacterial disease epidemics, and simple control measures to reduce particu
125 tcomes, the potential speed and size of ZIKV epidemics, and the geographic distribution of ZIKV risk.
127 ed, our projections of cases averted in past epidemics are based on severely limited single-dose effi
128 onzo is performed to determine whether konzo epidemics are cyclical and whether there is spectral coh
130 the evolutionary trajectories driving these epidemics are replicated using a simple cell-based exper
136 and transmission during and following these epidemics, as well as the recent evolution and spread of
137 casts of the spatial-temporal progression of epidemics at different spatial scales and for assessing
138 e fluctuations that preceded regional plague epidemics, based on a dataset of 7,711 georeferenced his
139 he degree distribution is not independent of epidemics but is shaped through disease-induced dynamics
141 at parasite phenology can influence parasite epidemics by altering the sequence of infection and inte
142 rculated in Asia and the Pacific: these past epidemics can be highly informative on the key parameter
143 iology framework for understanding how HIV-1 epidemics can change in large cities with diverse risk g
145 1), A(H3N2), and B), as well as 19 aggregate epidemics caused by one or more of these influenza strai
147 n Kilifi was dynamic both within and between epidemics, characterized by frequent new variant introdu
149 environmental patterns associated with these epidemics, comparing human and ruminant serological data
150 ive disorders and type 2 diabetes are global epidemics compromising the quality of life of millions w
153 wed us to detect specific events, like wars, epidemics, coronations, or conclaves, with high accuracy
157 Additionally, states that exhibited annual epidemics during 1938-1955 have had the highest recent (
158 Projections for overall declines in HIV epidemics during the ART era might have been optimistic.
161 had been used to control African meningitis epidemics for >30 years but with little or modest succes
164 , 10 days-87 years), the 5 largest statewide epidemics had substantial proportions (range, 24%-45%) o
167 during the last 40 years most outbreaks and epidemics have been caused by GII.4 genotype strains, ra
172 th the peak timing and peak magnitude for 44 epidemics in 16 years caused by individual influenza str
173 r the major group A meningococcal meningitis epidemics in 1996-1997 (250,000 cases and 25,000 deaths)
174 d donor-recipient study was conducted during epidemics in 2 cities in Brazil to investigate transfusi
175 d large, devastating periodic epizootics and epidemics in Africa over the past approximately 60 years
182 ng approaches: parallel-region models, where epidemics in different regions are assumed to occur in i
183 ynamic transmission model of multi-strain TB epidemics in hypothetical populations reflective of the
184 Indian Ocean lineage (IOL) caused sustained epidemics in India and has radiated to many other countr
189 may be responsible for the initiation of CLS epidemics in mixed-cropping farms, whereas external sour
190 a has experienced two of the largest cholera epidemics in modern history; one in 1991 and the other i
201 riggered campaigns could help prevent severe epidemics in the face of epidemiological and vaccination
203 To combat Neisseria meningitidis serogroup A epidemics in the meningitis belt of sub-Saharan Africa,
205 the southern port city of Karachi, but large epidemics in the northeast have emerged only since 2011.
208 coupled regions or cities that the recurrent epidemics in two coupled networks are closely related to
209 d by Hippocrates in his 5th century BCE work Epidemics, in which the pallor of a patient's skin and t
210 Major challenges for managing future Ebola epidemics include establishment of early and aggressive
211 ry year, which is comparable to recent acute epidemics, including the 2014 Ebola and 2015 Zika epidem
212 Furthermore, mutations accumulating during epidemics increase the replication fitness of the virus
214 brio cholerae the causative agent of cholera epidemics interacts with numerous phages in the aquatic
215 or, this disparity, to integrate concomitant epidemics into models, and to understand reasons for rac
221 the most important viral pathogens, causing epidemics of acute respiratory infection (ARI), especial
226 comial diarrhea and has been associated with epidemics of diarrhea in hospitals and long-term care fa
228 Together with plague, smallpox and typhus, epidemics of dysentery have been a major scourge of huma
229 ) is a mosquito-borne flavivirus that causes epidemics of encephalitis and viscerotropic disease worl
230 low and cannot account for the catastrophic epidemics of Gambian HAT (gHAT) seen over the past centu
231 man genome sequence, which reveals many past epidemics of gammaretrovirus infection, and from recent
238 d transport policies contribute to worldwide epidemics of injuries and non-communicable diseases thro
241 owed a pattern that is familiar from earlier epidemics of other viruses, where a new disease is intro
243 Seasonal influenza A viruses cause annual epidemics of respiratory disease; highly pathogenic avia
247 chikungunya virus (CHIKV) cause large-scale epidemics of severe musculoskeletal disease and have bee
253 and thousands of deaths during annual winter epidemics of variable severity in the United States.
259 ion on gaining maximal information from past epidemics, on understanding model transferability betwee
260 s, such as those that forecast the spread of epidemics or predict the weather, must overcome the chal
261 for the targeted control of dynamics such as epidemics, or for modifying biochemical pathways relatin
267 consistent with the massive cyclic dysentery epidemics reported in Europe during the eighteenth and n
272 d case sources have changed gradually across epidemics since 2013, while clinical severity has not ch
275 collected from concentrated and generalized epidemics suggest that acute and early HIV infection may
276 are the causative agents of annual influenza epidemics that can be severe, and influenza A viruses in
278 vaccines are crucial for controlling the HIV epidemics that continue to afflict millions of people wo
280 ations with cognate knowledge of disease and epidemics that seems to draw more heavily on peers.
283 e scales (one epidemic to the next or within epidemics) there is a high turnover of variants within g
284 a, environmental drivers did not trigger the epidemics: They only modulated local Rift Valley fever v
285 ying trends in the severity and frequency of epidemics through time and may provide insight into the
286 hagic fever in humans and is responsible for epidemics throughout sub-Saharan, central, and West Afri
287 o-layered network model of coupled recurrent epidemics to reproduce the synchronized and mixed outbre
288 eling approaches and in both continents, the epidemics underwent exponential growth between 1955 and
291 ate a new path to locally persistent chaotic epidemics via subtle shifts in seasonal patterns of tran
292 es of parasite interactions and phenology in epidemics, we embedded multiple cohorts of sentinel plan
293 and over a 49-year period, to show that past epidemics were attributable to a single expanded lineage
294 atural pathogen populations-more devastating epidemics were measured in populations with higher level
298 Chikungunya alphavirus has caused large epidemics worldwide and leads to acute incapacitating po
299 havirus that is responsible for considerable epidemics worldwide and recently emerged in the Americas
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