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Related papers: Forecasting mortality using Google trend

200 papers

Dengue is a mosquito-borne disease that threatens more than half of the world's population. Despite being endemic to over 100 countries, government-led efforts and mechanisms to timely identify and track the emergence of new infections are…

Applications · Statistics 2016-12-09 Shihao Yang , S. C. Kou , Fred Lu , John S. Brownstein , Nicholas Brooke , Mauricio Santillana

Dry eye disease (DED) affects approximately half of the United States population. DED is characterized by dryness on the corena surface due to a variety of causes. This study fills the spatiotemporal gaps in DED epidemiology by using Google…

Populations and Evolution · Quantitative Biology 2020-06-23 Daniel B. Azzam , Nitish Nag , Julia Tran , Lauren Chen , Kaajal Visnagra , Kailey Marshall , Matthew Wade

Google Trends reports how frequently specific queries are searched on Google over time. It is widely used in research and industry to gain early insights into public interest. However, its data generation mechanism introduces missing…

Applications · Statistics 2025-10-15 Candice Djorno , Mauricio Santillana , Shihao Yang

We study the dynamics of cause--specific mortality rates among countries by considering them as compositions of functions. We develop a novel framework for such data structure, with particular attention to functional PCA. The application of…

Methodology · Statistics 2020-08-03 Marco Stefanucci , Stefano Mazzuco

The last two centuries have seen a significant increase in life expectancy. Although past trends suggest that mortality will continue to decline in the future, uncertainty and instability about the development is greatly increased due to…

Applications · Statistics 2023-11-28 Asmik Nalmpatian , Christian Heumann , Stefan Pilz

We investigate jointly modeling Age-specific rates of various causes of death in a multinational setting. We apply Multi-Output Gaussian Processes (MOGP), a spatial machine learning method, to smooth and extrapolate multiple cause-of-death…

Applications · Statistics 2021-11-15 Nhan Huynh , Mike Ludkovski

Dengue is a life threatening disease prevalent in several developed as well as developing countries like India.In this paper we discuss various algorithm approaches of data mining that have been utilized for dengue disease prediction. Data…

Computers and Society · Computer Science 2015-02-19 Kashish Ara Shakil , Shadma Anis , Mansaf Alam

Fertility choices are linked to the different preferences and constraints of individuals and couples, and vary importantly by socio-economic status, as well by cultural and institutional context. The meaning of childbearing and…

Computers and Society · Computer Science 2017-03-14 Jussi Ojala , Emilio Zagheni , Francesco C. Billari , Ingmar Weber

Widespread population aging has made it critical to understand death rates at old ages. However, studying mortality at old ages is challenging because the data are sparse: numbers of survivors and deaths get smaller and smaller with age. We…

Applications · Statistics 2018-03-29 Dennis M. Feehan

Health is a very important prerequisite in peoples well-being and happiness. Several studies were more focused on presenting the occurrence on specific disease like forecasting the number of dengue and malaria cases. This paper utilized the…

Computers and Society · Computer Science 2021-01-06 Florence Jean B. Talirongan , Hidear Talirongan , Markdy Y. Orong

Multiple cause-of-death data provides a valuable source of information that can be used to enhance health standards by predicting health related trajectories in societies with large populations. These data are often available in large…

Computation and Language · Computer Science 2017-05-11 Hamid Reza Hassanzadeh , Ying Sha , May D. Wang

Dengue is a major threat to public health in Brazil, the world's sixth biggest country by population, with over 1.5 million cases recorded in 2019 alone. Official data on dengue case counts is delivered incrementally and, for many reasons,…

Social and Information Networks · Computer Science 2021-12-23 Giovanni Mizzi , Tobias Preis , Leonardo Soares Bastos , Marcelo Ferreira da Costa Gomes , Claudia Torres Codeço , Helen Susannah Moat

Every year in the United States, 800,000 individuals suffer a stroke - one person every 40 seconds, with a death occurring every four minutes. While individual factors vary, certain predictors are more prevalent in determining stroke risk.…

Machine Learning · Computer Science 2025-01-03 Aidan Chadha

The World Health Organization (WHO) announced that COVID-19 was a pandemic disease on the 11th of March as there were 118K cases in several countries and territories. Numerous researchers worked on forecasting the number of confirmed cases…

Machine Learning · Computer Science 2020-11-10 Hoang Long Nguyen , Zhenhe Pan , Hashim Abu-gellban , Fang Jin , Yuanlin Zhang

In recent years, the use of databases that analyze trends, sentiments or news to make economic projections or create indicators has gained significant popularity, particularly with the Google Trends platform. This article explores the…

Econometrics · Economics 2025-03-31 Juan Tenorio , Heidi Alpiste , Jakelin Remón , Arian Segil

As the COVID-19 ravaging through the globe, accurate forecasts of the disease spread is crucial for situational awareness, resource allocation, and public health decision-making. Alternative to the traditional disease surveillance data…

Applications · Statistics 2021-11-04 Simin Ma , Shihao Yang

Each year there are nearly 57 million deaths around the world, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical in public health, as institutions and government agencies rely on death…

Machine Learning · Computer Science 2021-03-11 Yuanda Zhu , Ying Sha , Hang Wu , Mai Li , Ryan A. Hoffman , May D. Wang

Mortality is different across countries, states and regions. Several empirical research works however reveal that mortality trends exhibit a common pattern and show similar structures across populations. The key element in analyzing…

Applications · Statistics 2020-09-10 Lei Fang , Wolfgang K. Härdle , Juhyun Park

Human mobility research concerns spatiotemporal individual and population movement. Accurate modeling and prediction of human mobility can provide opportunities to monitor, manage and optimize human movement for improved social-economic…

Social and Information Networks · Computer Science 2022-02-15 Liantao Li , Yang Yang

The search engine based on influenza monitoring system has been widely applied in many European and American countries. However, there are not any correlative researches reported for African developing countries. Especially, the countries…

Social and Information Networks · Computer Science 2015-11-18 Shengli Li , Xichuan Zhou
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