{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T15:20:38Z","timestamp":1783610438588,"version":"3.55.0"},"reference-count":30,"publisher":"PAGEPress Publications","issue":"1","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geospat Health"],"abstract":"<jats:p>Tuberculosis (TB) remains a major public health concern in India, with an estimated 2.69 million cases annually. This study aimed to identify priority TB burden groups in Mysuru District using the Analytic Hierarchy Process (AHP) to support targeted interventions. A retrospective cross-sectional analysis was conducted using 8,459 TB case records reported between 2017 and 2019. Urban areas accounted for most cases (64.8%), with Mysuru City alone contributing 36.5%. Integrating AHP with Geographic Information Systems (GIS), a secondary surveillance approach was used to prioritize high-risk populations and geographic zones. Type of resi- dence, gender, age group, and co-morbidities were selected as key risk criteria based on epidemiological evidence and expert judgement. Relative weights were derived through pair-wise comparisons, with consistency verified using Consistency Ratio (CR), a metric used in the AHP to measure how logically consistent a decision-maker's subjective judgments are when comparing pairs of items. Rankings were assigned based on the highest (4) and lowest (1) proportional burden. The analysis identified urban males aged 40- 59 and 20-39 years as the highest-risk groups, classified as \u201cvery high\u201d priority, followed by urban females aged 20-39 years and elderly males as \u201chigh\u201d priority. Younger and older age groups constituted moderate to low-risk categories. The findings highlight a disproportionately higher TB burden among urban, male, and working-age populations and demonstrate the utility of AHP in guiding targeted, evidence-based TB control strategies used.<\/jats:p>","DOI":"10.4081\/gh.2026.1454","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:03:38Z","timestamp":1781535818000},"source":"Crossref","is-referenced-by-count":0,"title":["Prioritizing the tuberculosis burden by the analytic hierarchy process for effective targeted intervention"],"prefix":"10.4081","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8293-6309","authenticated-orcid":false,"given":"Madhu","family":"Basavegowda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2291-8843","authenticated-orcid":false,"given":"Manjunatha M.","family":"Chikkapapanna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9119-7029","authenticated-orcid":false,"given":"Sahana","family":"K. Suresh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1005-1795","authenticated-orcid":false,"given":"Bhuvanesh","family":"Giriya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2549","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"37589","unstructured":"AffairsCloud.com. 2024. WHO report: India records 17.7% decline in TB incidence from 2015 to 2023. Affairs Cloud. Accessed 2024 Nov 14. Available from: https:\/\/affairscloud.com\/who-report-india-records-17-7-decline-in-tb-incidence-from-2015-to-2023\/"},{"key":"37590","doi-asserted-by":"publisher","DOI":"10.4103\/jfmpc.jfmpc_129_25"},{"key":"37591","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3601031"},{"key":"37592","doi-asserted-by":"publisher","DOI":"10.1186\/s13012-021-01082-7"},{"key":"37593","doi-asserted-by":"publisher","DOI":"10.15212\/ZOONOSES-2024-0061"},{"key":"37594","doi-asserted-by":"publisher","DOI":"10.1016\/j.gloepi.2024.100174"},{"key":"37595","doi-asserted-by":"publisher","DOI":"10.1111\/hex.13022"},{"key":"37596","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-019-6756-7"},{"key":"37597","doi-asserted-by":"publisher","DOI":"10.4103\/jehp.jehp_7_19"},{"key":"37598","doi-asserted-by":"publisher","DOI":"10.4103\/lungindia.lungindia_181_24"},{"key":"37599","doi-asserted-by":"publisher","DOI":"10.1016\/j.cegh.2024.101554"},{"key":"37600","doi-asserted-by":"publisher","DOI":"10.4103\/0975-2870.122753"},{"key":"37601","doi-asserted-by":"publisher","DOI":"10.1016\/j.lanepe.2025.101370"},{"key":"37602","unstructured":"Manjunatha MC, Basavarajappa HT. 2017. Geomatics technique on climate change and its impact on groundwater table fluctuation in Mysuru district, Karnataka State, India. J Environ Sci Comput Sci Eng Technol 6:404\u2013420."},{"key":"37603","unstructured":"Manjunatha MC, Madhu B, Rekha S, Veena Murthy N, Veeresh SJ, Smitha MC, et al. 2025. Evaluation of landfill sites as per Mysuru\u2013Nanjangud Master Plan (2031) using weighted overlay method in GIS platform. Int J Geoinformatics 21:53\u201366."},{"key":"37604","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-025-12547-6"},{"key":"37605","doi-asserted-by":"publisher","DOI":"10.1002\/jcla.25122"},{"key":"37606","unstructured":"Mysore District Population Census 2011 - 2021 - 2025, Karnataka literacy sex ratio and density. Census2011.co.in. Available from: https:\/\/www.census2011.co.in\/census\/district\/263-mysore.html"},{"key":"37607","unstructured":"National Centre for Infectious Diseases. 2025. Latent and active tuberculosis: what is the difference. NCID. Available from: https:\/\/www.ncid.sg\/Health-Professionals\/Articles\/Pages\/Latent-and-Active-Tuberculosis,-What-Is-the-Difference.aspx"},{"key":"37608","unstructured":"Press Information Bureau. 2025. Press release. PIB. Available from: https:\/\/www.pib.gov.in\/PressReleseDetailm.aspx?PRID=2003225"},{"key":"37609","doi-asserted-by":"publisher","DOI":"10.7324\/JABB.2021.9211"},{"key":"37610","doi-asserted-by":"publisher","DOI":"10.1002\/9781119563501.ch3"},{"key":"37611","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijregi.2024.100556"},{"key":"37612","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e35997"},{"key":"37613","doi-asserted-by":"publisher","DOI":"10.18203\/2394-6040.ijcmph20190189"},{"key":"37614","unstructured":"Tun KH, Hong SA. 2020. Patterns of tobacco and alcohol misuse among presumptive TB patients in Myanmar: prevalence and sociodemographic associations. Nagoya J Med Sci 82:685\u201395."},{"key":"37615","doi-asserted-by":"publisher","DOI":"10.5588\/ijtldopen.23.0529"},{"key":"37616","unstructured":"World Health Organization. 2025. TB incidence. WHO. Available from: https:\/\/www.who.int\/teams\/global-programme-on-tuberculosis-and-lung-health\/tb-reports\/global-tuberculosis-report-2024\/tb-disease-burden\/1-1-tb-incidence"},{"key":"37617","unstructured":"World Health Organization. 2025. Tuberculosis. WHO. 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