Early detection of dengue infections using cluster sampling around index cases

Charmagne G. Beckett*, Herman Kosasih, Indra Faisal, Nurhayati, Ratna Tan, Susana Widjaja, Erlin Listiyaningsih, Chairin Ma'Roef, Suharyono Wuryadi, Michael J. Bangs, Tatang K. Samsi, Djoko Yuwono, Curtis G. Hayes, Kevin R. Porter

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


A two-year study using a cluster investigation method was conducted in West Jakarta, Indonesia to demonstrate the detection of dengue cases prior to onset of clinical illness. The clusters consisted of family members and neighbors of 53 hospitalized dengue index cases. Among 785 adult and child volunteers enrolled, 17 (2.2%) post-enrollment dengue (PED) infections were identified. Eight PED cases were asymptomatic and nine were symptomatic. Symptomatic cases included eight with dengue fever and one with dengue hemorrhagic fever (DHF) (grade II). Among the eight asymptomatic PED cases, viremia was detected in two. Eleven volunteers had acute dengue infections at the time of enrollment. Four of the 11 developed DHF, resulting in a total of five DHF cases detected during the investigation. This study design can serve as a benchmark for future investigations that seek to define early immunologic events following dengue infections that contribute to the development of DHF.

Original languageEnglish
Pages (from-to)777-782
Number of pages6
JournalAmerican Journal of Tropical Medicine and Hygiene
Issue number6
StatePublished - Jun 2005


Dive into the research topics of 'Early detection of dengue infections using cluster sampling around index cases'. Together they form a unique fingerprint.

Cite this