RS/GIS Applied for Predicting Malaria Transmission Risk in Villages of Lombok Island, Indonesia

Sumiko Anno, Masahiro Takagi, Yoshio Tsuda, Masaji Ono, Masato Kawabata

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)144-144
JournalParasitology International
Volume48
Publication statusPublished - 1999 Jul 1

Cite this

Anno, S., Takagi, M., Tsuda, Y., Ono, M., & Kawabata, M. (1999). RS/GIS Applied for Predicting Malaria Transmission Risk in Villages of Lombok Island, Indonesia. Parasitology International, 48, 144-144.

RS/GIS Applied for Predicting Malaria Transmission Risk in Villages of Lombok Island, Indonesia. / Anno, Sumiko; Takagi, Masahiro; Tsuda, Yoshio; Ono, Masaji; Kawabata, Masato.

In: Parasitology International, Vol. 48, 01.07.1999, p. 144-144.

Research output: Contribution to journalArticle

Anno, S, Takagi, M, Tsuda, Y, Ono, M & Kawabata, M 1999, 'RS/GIS Applied for Predicting Malaria Transmission Risk in Villages of Lombok Island, Indonesia', Parasitology International, vol. 48, pp. 144-144.
Anno, Sumiko ; Takagi, Masahiro ; Tsuda, Yoshio ; Ono, Masaji ; Kawabata, Masato. / RS/GIS Applied for Predicting Malaria Transmission Risk in Villages of Lombok Island, Indonesia. In: Parasitology International. 1999 ; Vol. 48. pp. 144-144.
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