Disease:

area:

sex:

City/County Ranking

Gender Comparisons

Temporal Trend

Top 10 Causes of Death

Nationwide Temporal Trends

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## Funding Sources

## Chief Investigators

## Principal Investigator

## Co-Principal Investigators

## Authors

## Copyright and Sources

## Note

## Reference Method

Academia Sinica - Multidisciplinary Health Cloud Research Program: Technology Development and Application of Big Health Data

Vice President Andrew H.-J. Wang (Academia Sinica), Vice President Fan-sen Wang (Academia Sinica)

Chief Executive Officer I-chun Fan (Center for GIS)

Associate Researcher Pei-Shan Liao (Center for Survey Research), Associate Researcher Ta-Chien Chan (Center for GIS)

Ta-Chien Chan
Yung-Chu Teng
Chiao-Ling Kuo
Chien-Chou Chen
Bo-Cheng Lin
Jui-Hung Kao
Yao-Hsien Yeh
Po-Yao Chen

OpenStreetMap
Highcharts
CC BY 3.0
DATA.GOV.TW

Sources of Population Data:

1991-2000: 統計博覽繪,Center for GIS, RCHSS, Academia Sinica, year-end population.

2001-2005: Taiwan-Fukien Demographic Fact Book, Republic of China, year-end population.

2006-2007: Demographic Fact Book, Republic of China, year-end population.

2008-2021: Socio-Economic Database, Mistry of Interior, year-end population.

World Standard Population:The World Health Organization's (WHO) new World Standard Population (2000).

- Standardized Incidence Rate：Our map uses age-adjusted incidence rate to compare different area and removed the effect of age structure. The method of calculating standardized incidence rate is following:
- First, calculate incidence rate, the number of new cases per population, in each age group ( 18 groups in total: 0–4, 5–9, 10–14,…,80–84,and more then 85).
- Multiply each incidence rate byWorld Standard Population (2000) in each age group to get age-sepcific standardized incidence rates.
- Sum across all the age-sepcific standardized incidence rates to get the standardized incidence rates.

- Local Moran's I：Local Moran's I is the measurement of the relevance among an individual region and adjacent areas. When the value of Local Moran’s I statistic is positive, it means positive correlation. Local Moran’s I（ ） is computed as:

,

where,is Local Moran’s I statistic of town i,is the standardized incidence r of town i,is the mean of standardized incidence rates of towns,is the spatial weight between town i and j, and n is the total number of towns.

The z score for the statistics are computed as:

where Z score represents the statistical significance of the computed index value, is expected Value, is variance, and

References：Chan TC, King CC. Surveillance and Epidemiology of Infectious Diseases Using Spatial and Temporal Clustering Methods. In: Castillo-Chavez C, Chen H, Lober WB, Thurmond M, Zeng D, eds. Infectious Disease Informatics and Biosurveillance: Research, Systems and Case Studies. U.S.A.: Springer; 2010; 208-234.

Ta-Chien Chan, Yung-Chu Teng, Chiao-Ling Kuo, Chien-Chou Chen, Bo-Cheng Lin, Jui-Hung Kao, Yao-Hsien Yeh, Po-Yao Chen. (2016). [online] Taiwan Mortality Map. Available at: http://mortality.geohealth.tw/ [Accessed Date].

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