Results 171 to 180 of about 484,410 (284)

Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review. [PDF]

PeerJ Comput Sci
Kamarul Aryffin HA, Bin Sahbudin MA, Ali Pitchay S, Abhalim AH, Sahbudin I, Sahbudin I.   +5 more
europepmc   +1 more source

Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives. [PDF]

Front Public Health, 2022
Sun H, Zhang Y, Gao G, Wu D.
europepmc   +1 more source

Infectious disease surveillance update [PDF]

The Lancet Infectious Diseases, 2020
openaire   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

UTILIZING A CAPTURE-RECAPTURE STRATEGY TO ACCELERATE INFECTIOUS DISEASE SURVEILLANCE. [PDF]

Ann Appl Stat
Ge L, Zhang Y, Waller L, Lyles R.
europepmc   +1 more source

Infectious disease surveillance system in Pakistan: challenges and way forward. [PDF]

Trop Med Health, 2022
Shaikh TG, Waseem S, Ahmed SH, Swed S, Hasan MM.   +4 more
europepmc   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

Infectious disease surveillance update [PDF]

The Lancet Infectious Diseases, 2016
  +4 more sources

[Airport and Port Wastewater-based Infectious Disease Surveillance]. [PDF]

Jugan Geongang Gwa Jilbyeong
Lee DI, Kim SH, Kim OS.
europepmc   +1 more source

Spatial and temporal epidemiological analysis in the Big Data era [PDF]

, 2015
Alvarado-Serrano, Anderson, Andrienko, Anon, Anon, Anon, Anon, Baker, Bell, Breiman, Brownstein, Brownstein, Brownstein, Brunker, Butler, Butler, Carneiro, Carrel, Carroll, Chan, Chew, Chunara, Clements, Collier, Collins, Correa, Costa, Cowen, de Glanville, Dhar, Dirk U. Pfeiffer, Dodge, Eastman, Elith, Elith, Eysenbach, Faghmous, Faria, Feizizadeh, Fernández, Firestone, Firestone, França, Freifeld, Gandomi, Gartner, Gibney, Giebultowicz, Gilbert, Ginsberg, Goodchild, Goodchild, Grein, Haklay, Hartley, Hay, Hay, Heipke, Heymann, Hirzel, Hirzel, Hongoh, Istepanian, Jankowski, Jones, Kambatla, Kamel Boulos, Kamel Boulos, Keller, Kim B. Stevens, Kuhn, Lawson, Lazer, Lee, Leetaru, Li, Liang, Ligmann-Zielinska, Malczewski, Malczewski, Martin, Mayer-Schönberger, Milinovich, Milinovich, Mortari, Mullins, Murray, Mykhalovskiy, Okabe, Oliver, Olsen, O’Driscoll, Peters, Pfeiffer, Pfeiffer, Pigliucci, Pigott, Porter, Prates, Pybus, Rutten, Sanchez-Matamoros, Sarojinie Fernando, Schadt, Scholkopf, Schutt, See, Signorini, Solanas, Sorensen, St Louis, Stevens, Stevens, Tatem, Tatem, Tolentino, Tran, van Zyl, van Zyl, Vatsavai, Wesolowski, Wesolowski, Wilson, Wilson, Wilson, Wing, Yemshanov, You, Zeldenrust, Ziegler   +129 more
core   +2 more sources