BackgroundTo identify potential environmental drivers of Japanese Encephalitis virus (JE) transmission in Nepal, we conducted an ecological study to determine the spatial association between 2005 Nepal JE incidence, and climate, agricultural, and land-cover variables at district level.MethodsDistrict-level data on JE cases were examined using Local Indicators of Spatial Association (LISA) analysis to identify spatial clusters from 2004 to 2008 and 2005 data was used to fit a spatial lag regression model with climate, agriculture and land-cover variables.ResultsPrior to 2006, there was a single large cluster of JE cases located in the Far-West and Mid-West terai regions of Nepal. After 2005, the distribution of JE cases in Nepal shifted with clusters found in the central hill areas. JE incidence during the 2005 epidemic had a stronger association with May mean monthly temperature and April mean monthly total precipitation compared to mean annual temperature and precipitation. A parsimonious spatial lag regression model revealed, 1) a significant negative relationship between JE incidence and April precipitation, 2) a significant positive relationship between JE incidence and percentage of irrigated land 3) a non-significant negative relationship between JE incidence and percentage of grassland cover, and 4) a unimodal non-significant relationship between JE Incidence and pig-to-human ratio.ConclusionJE cases clustered in the terai prior to 2006 where it seemed to shift to the Kathmandu region in subsequent years. The spatial pattern of JE cases during the 2005 epidemic in Nepal was significantly associated with low precipitation and the percentage of irrigated land. Despite the availability of an effective vaccine, it is still important to understand environmental drivers of JEV transmission since the enzootic cycle of JEV transmission is not likely to be totally interrupted. Understanding the spatial dynamics of JE risk factors may be useful in providing important information to the Nepal immunization program.

No abstract

Abstract. Wider availability of the live, attenuated SA 14-14-2 Japanese encephalitis (JE) vaccine has facilitated introduction or expansion of immunization programs in many countries. However, information on their impact is limited. In 2006, Nepal launched a JE immunization program, and by 2009, mass campaigns had been implemented in 23 districts.To describe the impact, we analyzed surveillance data from 2004 to 2009 on laboratory-confirmed JE and clinical acute encephalitis syndrome (AES) cases. The post-campaign JE incidence rate of 1.3 per 100,000 population was 72% lower than expected if no campaigns had occurred, and an estimated 891 JE cases were prevented. In addition, AES incidence was 58% lower, with an estimated 2,787 AES cases prevented, suggesting that three times as many disease cases may have been prevented than indicated by the laboratory-confirmed JE cases alone. These results provide useful information on preventable JE disease burden and the potential value of JE immunization programs.

All six World Health Organization (WHO) regions have now set goals for measles elimination by or before 2020. To prioritize measles elimination efforts and use available resources efficiently, there is a need to identify at-risk areas that are offtrack from meeting performance targets and require strengthening of programmatic efforts. This article describes the development of a WHO measles programmatic risk assessment tool to be used for monitoring, guiding, and sustaining measles elimination efforts at the subnational level. We outline the tool development process; the tool specifications and requirements for data inputs; the framework of risk categories, indicators, and scoring; and the risk category assignment. Overall risk was assessed as a function of indicator scores that fall into four main categories: population immunity, surveillance quality, program performance, and threat assessment. On the basis of the overall score, the tool assigns each district a risk of either low, medium, high, or very high. The cut-off criteria for the risk assignment categories were based on the distribution of scores from all possible combinations of individual indicator cutoffs. The results may be used for advocacy to communicate risk to policymakers, mobilize resources for corrective actions, manage population immunity, and prioritize programmatic activities. Ongoing evaluation of indicators will be needed to evaluate programmatic performance and plan risk mitigation activities effectively. The availability of a comprehensive tool that can identify at-risk districts will enhance efforts to prioritize resources and implement strategies for achieving the Global Vaccine Action Plan goals for measles elimination.

Objectives: To assess the prevalence of human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV) co-infections among people living with HIV (PLHIV) in Nepal. Methods: A sample of 677 PLHIV representing key affected populations (KAP) in Nepal, who were undergoing antiretroviral (ART) therapy in ART clinics around the country, were voluntarily enrolled in the study. Rapid kit-based testing followed by ELISA for validation was performed, focusing on HBV surface antigen (HBsAg) and antibodies against HCV (anti-HCV). A multivariate logistic regression model was used to identify factors associated with HBV and HCV co-infection. Results: HCV and HBV co-infection among the 677 PLHIV was found to be 19% (95% confidence interval (CI) 16.6-22.7%) and 4.4% (95% CI 3.1-6.6%), respectively. The Eastern Region had the highest percentage of HCV infection (48%). The age group with the highest rates of co-infection was 30-39 years (58% and 70%, respectively, for HCV and HBV co-infection). After adjusting for confounding, males were more likely to have HBV co-infection than females (adjusted odds ratio (AOR) 4.61, 95% CI 1.42-14.98). Similarly, PLHIV who were male (AOR 5.7, 95% CI 2.06-15.98), had a secondary level of education (AOR 3.04, 95% CI 1.06-8.70), or who were drug users (AOR 28.7, 95% CI 14.9-55.22) were significantly more likely to have HCV co-infection. Conclusion: This first ever national assessment of HIV, HBV, and HCV co-infection performed among PLHIV in Nepal demonstrates that HCV and HBV infections are a health threat to this population and that interventions are required to mitigate the effects of co-infection and to prevent further morbidity and mortality.