Background: Haiti has the highest incidence rate of TB in the Western Hemisphere, with an estimated 170 cases per 100,000 in 2019. Since 2010, control efforts have focused on targeted case-finding activities in urban areas, implementation of rapid molecular diagnostics at high-volume TB centers, and improved reporting. TB analyses are rarely focused on lower geographic units; thus, the major goal was to determine if there were focal areas of TB transmission from 2011 to 2016 at operational geographic levels useful for the National TB Control Program (PNLT).

Methods: We created a geocoder to locate TB cases at the smallest geographic level. Kulldorff's space-time permutation scan, Anselin Moran's , and Getis-Ord Gi* statistics were used to determine the spatial distribution and clusters of TB.

Results: With 91% of cases linked using the geocoder, TB clusters were identified each year. Getis-Ord Gi* analysis revealed 14 distinct spatial clusters of high incidences in the Port-au-Prince metropolitan area. One hundred retrospective space-time clusters were detected.

Conclusion: Our study confirms the presence of TB hotspots in the Ouest , with most clusters in the Port-au-Prince metropolitan area. Results will help the PNLT and its partners better design case-finding strategies for these areas.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202626PMC
http://dx.doi.org/10.5588/pha.20.0085DOI Listing

Publication Analysis

Top Keywords

space-time clusters
8
hotspots ouest
8
getis-ord gi*
8
port-au-prince metropolitan
8
metropolitan area
8
clusters
6
identification space-time
4
clusters hotspots
4
ouest haiti
4
haiti 2011-2016
4

Similar Publications

Spatial, temporal, and space-time analysis of leptospirosis cases in Acre, 2001-2022.

Rev Bras Epidemiol

January 2025

Universidade de São Paulo, Faculty of Public Health, Postgraduate Degree in Public Health - São Paulo (SP), Brasil.

Objective: To identify clusters of high and low risk for the occurrence of leptospirosis in space and space-time in Acre, between 2001 and 2022, as well as to characterize temporal trends and epidemiological profiles of the disease in the state.

Methods: An ecological study of cases mandatorily reported by health services in Brazil. For the analysis of clusters in space and space-time, the SaTScan software was used, which calculated the relative risks (RR).

View Article and Find Full Text PDF

The land use transition plays an important role for terrestrial environmental services, which had a mixed impact of positive and negative on the groundwater and terrestrial water resource. The health of ecological systems and groundwater depends on the mapping and management of land use. The Ganga basin is one of the most densely populated and agriculture-intensive river systems in the South Asia and the world.

View Article and Find Full Text PDF

Dengue fever poses a significant public health burden in tropical regions, including Thailand, where periodic epidemics strain healthcare resources. Effective disease surveillance is essential for timely intervention and resource allocation. Various methods exist for spatiotemporal cluster detection, but their comparative performance remains unclear.

View Article and Find Full Text PDF

Examining the Boost Account for Repeat and Near Repeat Burglary in Canada.

Int Crim Justice Rev

March 2025

Department of Psychology, Carleton University, Ottawa, Ontario, Canada.

Research suggests that previously burglarized targets, and targets located near such locations, are at an increased risk of being victimized. However, this elevated risk is only temporary and appears to subside over time. The boost account is one theory that attempts to describe the occurrence of repeat, and near repeat, burglaries.

View Article and Find Full Text PDF

Background: The global seasonal influenza activity has decreased during the coronavirus disease 2019 (COVID-19) pandemic. Non-pharmaceutical interventions (NPIs), such as reducing gatherings and wearing masks, can have varying impacts on the spread of influenza. We aim to analyse the basic characteristics, epidemiology and space-time clustering of influenza in Quzhou city before and after the COVID-19 pandemic based on five years of surveillance data.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!