Dual strategy involving hospital-based study and community-based screening to eliminate hepatitis C in remote areas.

BACKGROUND: /Purpose: To achieve the World Health Organization goal of eliminating viral hepatitis by 2030, a key strategy in resource-limited areas is to identify the areas with high prevalence and to prioritize screening and treatment intervention. We hypothesized that a hospital-based laboratory database could be used to estimate the township- and village-specific anti-hepatitis C virus (HCV) prevalence. METHODS: Yunlin County Public Health Bureau has been collecting anti-HCV test data from eight major hospitals. Township- and village-specific screening testing rates and anti-HCV prevalence were calculated for residents 40 years or older. A township with a wide range of anti-HCV prevalence rates was selected for outreach universal screening and for validating the village-specific prevalence of anti-HCV in the analysis of the data from the hospitals. RESULTS: The overall anti-HCV screening testing rate in Yunlin County was 30.4 %, whereas the anti-HCV prevalence rate for persons 40 years or older was 15.4 %. The village-specific anti-HCV prevalence rates ranged from 3.8 % to 85.8 %. Community-based screening was conducted in Kouhu Township. The village-specific anti-HCV prevalence rates ranged from 0 % to 18.8 %. Three of the four villages had the highest village-specific anti-HCV prevalence in the community-based study and the hospital-based study. Additionally, 95.8 % of the new HCV cases detected by universal screening received anti-HCV therapy. CONCLUSION: The hospital-based database provided a framework for identifying the villages with high anti-HCV prevalence. Additionally, community-based universal screening should be prioritized for villages with high prevalence in hospital-based databases.

Dengue fever scoring system: new strategy for the early detection of acute dengue virus infection in Taiwan.

BACKGROUND/PURPOSE: Dengue fever is an important public health problem in Southern Taiwan. The purpose of this study was to develop a dengue scoring system using a three-stage process, which may be used as a guidance tool for the early diagnosis of dengue fever. METHODS: A retrospective study was conducted to identify factors useful for the early diagnosis of dengue fever. We assessed the clinical and laboratory features of 89 adult patients with dengue from 2002 to 2004 at a community-based hospital. They were compared with 14 patients with scrub typhus, 104 with Q fever, and 35 with murine typhus, which might present similar symptoms and signs as dengue infection. A scoring system was designed after analysis of the retrospective study and with the assistance of 10 expert clinicians. For the second stage, we evaluated efficiency in differentiating dengue fever from Q fever, scrub typhus and murine typhus in three hospitals from 2002 to 2005. For the third stage, we prospectively used the dengue scoring system for 498 cases that clinically were suspected as having dengue infection in the city of Kaohsiung from January 2006 to September 2006. RESULTS: The performance of the scoring system was 88.1% sensitivity, 94.9% specificity, 95.7% positive predictive value (PPV), and 86.1% negative predictive value (NPV). Evaluation of the scoring system at the third stage revealed 90.7% sensitivity, 86.9% specificity, 81.4% PPV, and 93.6% NPV. CONCLUSION: The dengue scoring system had a high NPV that might be helpful in the early diagnosis of dengue fever in adults before laboratory data are available.