en تجهیزات پزشکی برای کمک به جانبازان يا معلولان Assistive Medical Device for Veterans or Handicapped توصیفی و نظرسنجی Descriptive & Survey <span style="font-size:11pt"><span style="line-height:150%"><span style="tab-stops:72.0pt 193.5pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:">Background:</span></span></span></b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:"> Increased incidence of infectious diseases and disruptions of existing health systems are likely to occur among populations living in or affected by accident and disaster affected areas, where exposure risks may be elevated. This study aimed to examine the role of technology-enabled risk-surveillance in infection surveillance by assessing the mediating effect of early threat detection capacity.</span></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="line-height:150%"><span style="tab-stops:72.0pt 193.5pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:">Methods:</span></span></span></b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:"> A quantitative cross-sectional study was conducted among 250 Community Health Workers in Kut City; Iraq in 2026. Data where collected wsing established measures of technology enabled infection risk surveillance, early threat detection capacity, and infection risk surveillance. Pearson correlation, multiple linear regression, and Hayes PROCESS macro Model 4 with 5000 bootstrap samples were applied.</span></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="line-height:150%"><span style="tab-stops:72.0pt 193.5pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:">Results:</span></span></span></b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:"> Technology- enabled surveillance was positively and significantly associated with early threat detection capacity (r = .62, p < .001) and risk for detecting infections (r = .58, p < .001). There was also a strong association between the capacity for detecting potential threats early and infection risk surveillance (r = .65, p < .001). In the multiple linear regression model, technology-enabled surveillance was independently associated with infection risk surveillance ( B= .39, p < .001). Mediation analysis indicated a significant indirect effect (B = 0.30, 95% bootstrap CI: 0.20-0.42), supporting partial mediation.</span></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="line-height:150%"><span style="tab-stops:72.0pt 193.5pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:">Conclusion:</span></span></span></b><span style="font-size:10.0pt"><span style="line-height:150%"><span cambria="" style="font-family:"> Technology-enabled surveillance was associated with higher levels of infection risk surveillance, with early threat-detection capacity partially accounting for this association. The combination of digital surveillance technologies with training of health workers and emergency readiness could better support community-based infection surveillance.</span></span></span></span></span></span></span><br> &nbsp; 1001 1012 http://ijwph.ir/browse.php?a_code=A-10-2182-2&slc_lang=en&sid=1 Q.A.K. Al-Eqabi qasim.abbas.kh@gmail.com 15300319475328460029336 15300319475328460029336 Yes