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1 ich altered parasite assembly during natural epidemics.
2 en of malaria and large HIV and tuberculosis epidemics.
3 ungunya, and Zika can cause widespread viral epidemics.
4 he assembly of later-arriving strains during epidemics.
5 or upcoming COVID-19 surges and other future epidemics.
6 the collision of the COVID-19 and addiction epidemics.
7 bility, as seen with other human coronavirus epidemics.
8 to reduce infection or disease during major epidemics.
9 how virus evolution might be associated with epidemics.
10 ry-wide public policies to control local HIV epidemics.
11 mortality associated with these overlapping epidemics.
12 also a crucial mechanism underlying cholera epidemics.
13 nmental and virological drivers of influenza epidemics.
14 d in the early 20th century during influenza epidemics.
15 and eradicate both of these important global epidemics.
16 an unpredictable and unavoidable feature of epidemics.
17 plications for understanding and controlling epidemics.
18 virus (MARV), have also caused high fatality epidemics.
19 serogroup A historically caused large-scale epidemics.
20 HIV prevention with the potential to end HIV epidemics.
21 or over 50 years, continuing to cause annual epidemics.
22 l, and societal preparation to handle future epidemics.
23 cy of a 1930s era breeding to combat disease epidemics.
24 ver, some species have survived these fungal epidemics.
25 imination), measles continues to cause large epidemics.
26 ould also boost immunity against future DENV epidemics.
27 serogroup A historically caused large-scale epidemics.
28 frica for fast-tracking the end of their HIV epidemics.
29 Influenza A and B viruses cause seasonal flu epidemics.
30 s are being developed to prevent these non-A epidemics.
31 ently reduce infection incidence and risk of epidemics.
32 ith the dominant strains alternating between epidemics.
33 n predicted to result in more severe disease epidemics.
34 ced into the Americas, leading to widespread epidemics.
35 d reduced access, sometimes fueling national epidemics.
36 an important role in initiating fire blight epidemics.
37 ferences in the dynamics and timing of local epidemics.
38 at this deadly disease and prevent future TB epidemics.
39 btain and may not be available during future epidemics.
40 al form of pneumonia that occurs as sporadic epidemics.
41 luenza virus and respiratory syncytial virus epidemics.
42 African countries have the most diverse HIV epidemics.
43 pathogen responsible for recent large-scale epidemics.
44 th HIV, even in the most broadly generalised epidemics.
45 gible, thereby successfully controlling ZIKV epidemics.
46 munotherapeutics for use in future filovirus epidemics.
47 o help reducing the occurrence and impact of epidemics.
48 ve medicine, as well as much of its focus on epidemics.
49 to help manage mosquito-transmitted disease epidemics.
50 aches may lead to new methods for predicting epidemics.
51 er temperatures drive increasing severity of epidemics.
52 ype for other areas at-risk for Lyme disease epidemics.
53 tatistics were applied to identify candidate epidemics.
54 ons of severe cases of disease during annual epidemics.
55 the effect on human as well as plant disease epidemics.
56 n immunodeficiency virus and opioid overdose epidemics.
57 ble of mitigating the effects of future Zika epidemics.
58 ce to controlling current and future cholera epidemics.
59 spatially and temporally distributed during epidemics.
60 efforts needed to achieve elimination of YF epidemics.
61 ublic of the Congo have the most diverse HIV epidemics.
62 es worldwide could experience more prolonged epidemics.
63 ardiovascular events during annual influenza epidemics.
64 al treatments to prevent substantial malaria epidemics.
65 in the context of recent respiratory disease epidemics.
66 uthern states were identified with rural HIV epidemics.
67 nt infection during experimental and natural epidemics.
68 nd other countries struggling with expanding epidemics.
69 spersal history and transmission dynamics of epidemics.
70 uation that has led to sudden and widespread epidemics.
71 prevalence shows patterns of clustered micro-epidemics.
72 ika (2016 to 2017), and DENV2 (2018 to 2020) epidemics.
73 dequacies of our ability to respond to viral epidemics.
74 s (n = 56) co-circulating within and between epidemics.
75 mics, with higher levels indicative of large epidemics.
76 ng systems be developed to predict influenza epidemics?
77 l epidemics differ from those of detrimental epidemics?
81 he United States, we are experiencing linked epidemics (a syndemic) of substance use disorders (SUDs)
82 lined Highlighting of Infections to Navigate Epidemics), a sensitive and specific diagnostic tool tha
83 smission model to simulate country-level HCV epidemics among people who inject drugs and the general
84 obally HIV incidence is slowing, however HIV epidemics among sex workers are stable or increasing in
85 he threshold, probability, and final size of epidemics and 2) exploring the interplay between the str
88 s the complexity of transmission pathways in epidemics and endemic settings and the need for long-ter
89 eprint list of viruses likely to cause major epidemics and for which no, or insufficient countermeasu
91 P epidemics: prevalent serotype shifts among epidemics and incidence cycling of MP, are interconnecte
93 aluable in the monitoring and forecasting of epidemics and outbreaks, it is evident that such infodem
95 uenza A viruses (IAVs) have caused worldwide epidemics and pandemics by reassortment and generation o
100 must take action to address these worsening epidemics and prevent their expansion beyond Venezuelan
102 a variety of animal species, causing regular epidemics and sporadic pandemics, with major public heal
104 for direct environmental modulation of these epidemics and suggest management options to protect spec
105 model explains the temporal pattern of phage epidemics and the complex evolutionary outcome of phage-
106 health contingency planning for future Ebola epidemics, and help better allocate resources and evalua
107 uenza A viruses are responsible for seasonal epidemics, and pandemics can arise from the transmission
108 to 650,000 deaths per year through seasonal epidemics, and pandemics have caused tens of millions of
109 ried as range expansions, species invasions, epidemics, and the spread of beneficial mutations in est
111 dynamics of beneficial biological and social epidemics are characterized by the rapid spread of benef
112 and ongoing drug-resistant tuberculosis (TB) epidemics are characterized by transmission of a limited
113 Observed differences in the peakedness of epidemics are consistent with a meta-population model of
116 d from the recent Ebola virus and Zika virus epidemics are that delay in developing the right diagnos
121 spiratory pathogen that causes yearly global epidemics, as well as sporadic pandemics due to human ad
123 urate, high-resolution tracking of influenza epidemics at the regional level helps public health agen
124 gainst precise forecasts of the evolution of epidemics based on mean-field, effective, or phenomenolo
125 epidemic cholera, we need to understand how epidemics begin, how they spread, and how they decline a
126 he decades-long HIV/AIDS and opioid-overdose epidemics but considerably smaller than that of the Span
127 uired infection has been reported in similar epidemics, but there are limited data on the prevalence
128 e as amplifiers of general tuberculosis (TB) epidemics, but there is a paucity of data on this phenom
130 but preferences for local assortativity halt epidemics by disconnecting the infected from the suscept
131 a also suggest that the magnitudes of dengue epidemics cannot be fairly compared across calendar year
132 yndrome and Middle East respiratory syndrome epidemics, cases of CNS and peripheral nervous system di
135 region of the samples collected during FMDV epidemics caused by serotype O in Sri Lanka during 1962
139 eting recommendations to only those at risk, epidemics could be contained without resorting to mass q
140 objective was to determine if conjunctivitis epidemics could be identified using Google Trends search
142 ntribution of household transmission in ZIKV epidemics, demonstrating the benefits of integrating mul
144 dynamics of beneficial biological and social epidemics differ from those of detrimental epidemics?
147 it has appeared in several previous fearsome epidemics-during the poliomyelitis epidemic in the 1930s
148 e E2 lineage, which is more prevalent during epidemics, exhibits a combination of allelic variants th
149 g identification of candidate conjunctivitis epidemics from Internet search data potentially to compl
150 bution of injection drug use to risk for HCV epidemics globally, regionally, and at country level.
151 y, we used five well described models of HIV epidemics (Goals, Optima HIV, HIV Synthesis, an Imperial
153 We also found that 83% of our candidate epidemics had start dates before (of those, 20% were mor
156 cent Zika virus (ZIKV) and chikungunya virus epidemics highlight the explosive nature of arthropod-bo
157 reported outbreaks, candidate conjunctivitis epidemics identified 18 of 26 (69% sensitivity) of the r
158 ized drug-resistant tuberculosis (DR-TB) HIV epidemics, identifying subpopulations at high risk for t
159 ily spread efficiently via mosquitoes during epidemics.IMPORTANCE Although Zika virus infection of pr
160 that might assist in understanding arbovirus epidemics.IMPORTANCE Arbovirus infections in Brazil, inc
161 diseases, as was seen during the Zika virus epidemics in 2013 in French Polynesia and 2015 in Latin
162 vaccination coverage needed to eliminate YF epidemics in an endemic country varies substantially bet
163 cription of natural phenomena, such as viral epidemics in cellular tissues, animal populations and so
164 tudy investigated whether seasonal influenza epidemics in China, the US and the UK can be predicted u
166 ion aggregation and heterogeneity, such that epidemics in crowded cities are more spread over time, a
167 reservoir of viruses, which could spark new epidemics in disease free countries or vaccination zones
168 or the period from the start of the COVID-19 epidemics in February 2020 until 4 May 2020, when lockdo
170 he temporal patterns of a sequence of plague epidemics in London, United Kingdom, from the 14th to 17
175 l model to project the progression of MDR-TB epidemics in South Africa and Vietnam under alternative
176 e been responsible for several large cholera epidemics in South Asia, and continue to be of clinical
178 mission dynamics to occur in generalised HIV epidemics in sub-Saharan Africa, present an example of w
182 tle attention was given to this virus before epidemics in the South Pacific and the Americas that beg
183 ase of the mortality rates due to the opioid epidemics in the United States are still not fully uncov
187 tand the effects of temperature on ranavirus epidemics in UK common frogs, combining in vitro, in viv
192 (<1% each), they were prominent in regional epidemics, including in east and southeast Asia, west an
194 oncerning: (1) different diffusion process - Epidemics, Information, and Rumor models; (2) which LP m
195 pots are drivers of transmission in regional epidemics, instead suggesting that migrants with high HI
196 ous evidence that temperature is a driver of epidemics is largely lacking, because it is demanding to
197 among previously proposed models for network epidemics is the assumption that the propagating object
205 and transmissions risks and integrated with epidemics models to further assess the public health out
207 traditional models for the periodicity of MP epidemics neglected two phenomena: structured contact pa
208 especially when deployment is extensive and epidemics occur regularly, but it generally declines mor
209 ce that on average, conjunctivitis candidate epidemics occurred geotemporally closer to outbreak repo
211 In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial viru
212 transmitted alphavirus that causes explosive epidemics of a febrile illness characterized by debilita
213 le lineage (BI/NAP1/027) associated with the epidemics of CDI, increased severity of CDI, and increas
215 us times during the last 70 years, including epidemics of dengue virus and West Nile virus, and the m
216 tion of influenza viruses to dogs.IMPORTANCE Epidemics of equine-origin H3N8 and avian-origin H3N2 in
225 n addition to large-scale natural disasters, epidemics of multiple communicable diseases, and the shi
228 the USA, Canada, and Australia, experiencing epidemics of opioid misuse and abuse over this period.
229 We found that, among young adults, micro-epidemics of relatively high HIV prevalence alternate wi
232 oth AF and HFpEF-two closely related disease epidemics of the 21st century-are held responsible, curr
233 recognized for thousands of years, as annual epidemics of the common cold and influenza disease hit t
236 prospective observational study done during epidemics of Zika and chikungunya viruses in Recife, Per
238 egularly jumped to new host species to cause epidemics or pandemics, an evolutionary process that inv
240 hee Salmonella attacks, the threat of future epidemics/pandemics and/or terrorist/criminal use of pat
242 lieve that the two distinctive aspects of MP epidemics: prevalent serotype shifts among epidemics and
244 upt transmission will still lead to COVID-19 epidemics rapidly overwhelming health systems, with subs
247 regain replication fitness and establish new epidemics represents a significant risk of polio re-emer
248 a cytopathic RNA virus associated also with epidemics, required RelA, and Japanese encephalitis viru
252 Analysis of these records shows that later epidemics spread significantly faster ("accelerated").
253 rganization (WHO) developed the Eliminate YF Epidemics strategy aiming at eliminating YF epidemics by
254 ociated with critical illness and infectious epidemics such as Dengue is often fatal, our model demon
257 and these events can give rise to explosive epidemics such as those caused by the HIV and Ebola viru
259 explain how A. aegypti can sustain explosive epidemics such as ZIKV despite relatively poor vector co
260 international response to infectious disease epidemics, such as the severe acute respiratory syndrome
261 urate forecasts of key features of influenza epidemics, such as the timing and severity of the peak i
263 erful tool for monitoring seasonal influenza epidemics thanks to aid of self-selected volunteers from
264 mework for simulating realistic datasets for epidemics that are caused by fast-evolving pathogens lik
265 etween the Black Death of 1348 and the later epidemics that culminated with the Great Plague of 1665,
266 ence and socio-spatial human behavior during epidemics that exhibit nonstandard incidence patterns.
269 ocial questions characterizing each of these epidemics-the increased risks of withholding potentially
271 great interest in describing the dynamics of epidemics, they struggle to fully capture the geospatial
272 uch progress has been made in treating these epidemics, this has led to a rise in liver complications
277 erage model was developed to track influenza epidemics using Australian influenza and local search da
278 cales, the timing, duration and magnitude of epidemics vary substantially, but the underlying causes
280 months in most temperate sites but timing of epidemics was more variable and less seasonal with decre
283 the overall prediction error in the onset of epidemics was within 1 month (influenza virus -0.2 month
285 identify wild populations at risk of disease epidemics, we must elucidate the factors that shape, and
287 suggested that five major Nigerian HIV-1 sub-epidemics were introduced in the 1960s and 1970s, close
288 ial simulation experiments in which seasonal epidemics were simulated under all combinations of year-
290 responsible for globally-spread tuberculosis epidemics, whereas TbD1-intact "ancestral" lineages tend
291 CE Influenza A viruses (IAVs) cause seasonal epidemics which result in an important health and econom
292 asingly prominent in global and regional HIV epidemics, which has important implications for the deve
293 ed travel and fragile public health systems, epidemics will become more frequent, more complex and ha
296 fected humans and livestock animals to cause epidemics with significant morbidity and mortality.
297 tes potential for intermediate-intensity HIV epidemics, with higher levels indicative of large epidem