2020, Vol. 5, Issue 2, Part A
Relationship between health funding and detection of infectious diseasesAuthor(s):
Shem Otoi Sam and Edwardina NdhineAbstract: Background:
In Kenya, the County Governments manage most health facilities that handle, store and transfer biological agents in response to potential health threats with limited information including biosecurity andbiosafety. The County Government facilities include level 1, 2, 3, 4, 5 and the National Government manages level 6 facilities, national referral hos-pitals. The variables: infectious diseases; health development expenditure 2014/2015, and health current expenditure 2014/2015 indicate concern to achieve and maintain sustainable national health security. This study exam-ines the relationship between health funding and capacity of county level fa-cilities to report infectious human diseases between 2014 and 2015 in Kenya.
Results: The MLR model developed revealed that when annual develop-ment and recurrent health expenditure are held constant, the detection of new infection would remains at 78:017% (95% CI 78.4-79.4); that 1% in-crease on health development expenditure increases detected infectious dis-eases by 23,180 cases per county; 1% increase in recurrent health expenditure increases detected infections by 286,639 cases per county.
Conclusion: Timely disbursement of funds to county governments could prevent emerging, re-emerging or deliberately exposed populations to viruses and other microbes that they otherwise would not have encountered. Fund-ing for budget activities on biosecurity and biosafety facilitates e ective compliance to biological threat reduction. Creating awareness among policy decision makers on critical health security funding gaps and marginalized communities to seek healthcare may achieve and sustain disease reporting rate by 80.01%.Pages: 17-21 | Views: 647 | Downloads: 24Download Full Article: Click Here
How to cite this article:
Shem Otoi Sam, Edwardina Ndhine. Relationship between health funding and detection of infectious diseases. Int J Stat Appl Math 2020;5(2):17-21.