Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A systematic review of dengue outbreak prediction models: Current scenario and future directions
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks
often overwhelm the health system and result in huge morbidity and mortality in its endemic …
often overwhelm the health system and result in huge morbidity and mortality in its endemic …
A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk
Abstract Background Aedes (Stegomyia)-borne diseases are an expanding global threat,
but gaps in surveillance make comprehensive and comparable risk assessments …
but gaps in surveillance make comprehensive and comparable risk assessments …
Excess death rates for republican and democratic registered voters in Florida and Ohio during the COVID-19 pandemic
Importance There is evidence that Republican-leaning counties have had higher COVID-19
death rates than Democratic-leaning counties and similar evidence of an association …
death rates than Democratic-leaning counties and similar evidence of an association …
Estimation of excess deaths associated with the COVID-19 pandemic in the United States, March to May 2020
Importance Efforts to track the severity and public health impact of coronavirus disease 2019
(COVID-19) in the United States have been hampered by state-level differences in …
(COVID-19) in the United States have been hampered by state-level differences in …
Deep learning models for forecasting dengue fever based on climate data in Vietnam
Background Dengue fever (DF) represents a significant health burden in Vietnam, which is
forecast to worsen under climate change. The development of an early-warning system for …
forecast to worsen under climate change. The development of an early-warning system for …
Trends in non-COVID-19 hospitalizations prior to and during the COVID-19 pandemic period, United States, 2017–2021
COVID-19 pandemic-related shifts in healthcare utilization, in combination with trends in non-
COVID-19 disease transmission and non-pharmaceutical intervention use, had clear …
COVID-19 disease transmission and non-pharmaceutical intervention use, had clear …
A dynamic neural network model for predicting risk of Zika in real time
Abstract Background In 2015, the Zika virus spread from Brazil throughout the Americas,
posing an unprecedented challenge to the public health community. During the epidemic …
posing an unprecedented challenge to the public health community. During the epidemic …
Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in
Africa, the Americas, and Asia. This arboviral disease affects around 400 million people …
Africa, the Americas, and Asia. This arboviral disease affects around 400 million people …
Forecasting dengue epidemics using a hybrid methodology
Dengue case management is an alarmingly important global health issue. The effective
allocation of resources is often difficult due to external and internal factors imposing …
allocation of resources is often difficult due to external and internal factors imposing …