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Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...

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Related Experiment Video

Updated: May 26, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Predicting Fall-Related Deaths in Japan by Seasonality.

Takashi Miyazawa1,2, Nobuhiro Nasu1,3, Takehiko Asaga4

  • 1Department of Hygiene, Faculty of Medicine, Kagawa University, Kagawa, JPN.

Cureus
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

Fall-related deaths in Japan are increasing, particularly in December. Predictions show a continued rise with seasonal patterns, highlighting the need for public health strategies to address this aging population challenge.

Keywords:
air temperature parametersfallspredictionprophet analysisseasonality

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Design and Analysis for Fall Detection System Simplification
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Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

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Last Updated: May 26, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

  • Public Health
  • Gerontology
  • Epidemiology

Background:

  • Fall-related deaths are rising in Japan, coinciding with a rapidly aging population.
  • Nationwide studies on fall-related mortality are limited, posing a public health challenge.
  • Developing effective fall prevention strategies is crucial for Japan's demographic landscape.

Purpose of the Study:

  • To predict fall-related deaths in Japan, considering seasonal variations.
  • To analyze the correlation between fall fatalities, environmental factors, and aging rates.
  • To inform public health initiatives for fall prevention.

Main Methods:

  • Ecological study using monthly and prefectural data on fall-related deaths (2017-2023).
  • Inclusion of air temperature data from the Japan Meteorological Agency.
  • Utilized aging rate data from the Cabinet Office, Japan.
  • Employed Prophet analysis for future trend prediction.

Main Results:

  • Fall-related deaths peaked in December, significantly higher than in July and August.
  • Prefectural data indicated a correlation between fall fatalities and air temperature.
  • Prophet analysis projected an increasing trend in fall-related deaths with seasonal patterns.

Conclusions:

  • Fall-related deaths in Japan exhibit significant seasonality, with a notable increase in winter months.
  • Environmental factors, such as air temperature, are associated with fall fatalities.
  • Future predictions indicate a continued rise in fall-related deaths, emphasizing the need for targeted interventions.