Skip to main content

Table 1 Characteristics of studies using RS techniques in disease control studies during 1996-2003

From: Remote sensing and disease control in China: past, present and future

Disease

Study area

Study aim

RS

Spatial analysis

Reference

schistosomiasis

South of the Yellow River

To explore the possibility of using prediction model for schistosomiasis surveillance.

NOAA-AVHRR, 1 km

Overlay analysis

[33]

schistosomiasis

Dantu county, Zhenjiang city, Jiangsu province

To quantitatively measure the changes of marshland area related to schistosomiasis.

Aerial photography maps

Manual measurement

[34]

schistosomiasis

Anning River, Xichang city, Sichuan province

To determine whether environmental conditions observable via Landsat TM imagery correlate with the presence of snails.

Landsat TM, 30 m

Unsupervised and supervised classification

[35]

schistosomiasis

Yangtze River within Nanjing city, Jiangsu province

To understand the distribution of snail habitats in the lake and marshland regions.

Landsat MSS, 30 m

Tasseled Cap Transformation

[36–38]

schistosomiasis

Liupo village, Guichi region, Anhui province

To identify the suitable vegetation types for snails.

Landsat TM, 30 m

Unsupervised classification

[39]

schistosomiasis

Poyang Lake

Identify the water regions in schistosomiasis epidemic regions.

Landsat TM, 30 m

Visual interpretation

[40]

schistosomiasis

Poyang lake

To identify snail habitats in Poyang Lake regions.

Landsat TM, 30 m

Unsupervised classification

[41]

Malaria

Jiangsu Province

To explore the possibilities of predict the trend of malaria epidemic with RS images.

NOAA-AVHRR, 1 km

Correlation analysis

[42]

schistosomiasis

Jiangning county

To explore the relationship of NDVI and snail habitats.

NOAA-AVHRR and MODIS Terra, 1 km

Linear regression

[43]

Dengue fever

Guangdong province

To explore the relationship of NDVI and Aedes density.

NOAA-AVHRR, 1 km

Linear regression

[44]