Factors Associated With Human Immunodeficiency Virus Infections Linked in Genetic Clusters But Disconnected in Partner Tracing.

BACKGROUND: Successful partner notification can improve community-level outcomes by increasing the proportion of persons living with human immunodeficiency virus (HIV) who are linked to HIV care and virally suppressed, but it is resource intensive. Understanding where HIV transmission pathways may be undetected by routine partner notification may help improve case finding strategies. METHODS: We combined partner notification interview and HIV sequence data for persons diagnosed with HIV in Wake County, NC in 2012 to 2013 to evaluate partner contact networks among persons with HIV pol gene sequences 2% or less pairwise genetic distance. We applied a set of multivariable generalized estimating equations to identify correlates of disparate membership in genetic versus partner contact networks. RESULTS: In the multivariable model, being in a male-male pair (adjusted odds ratio [AOR], 16.7; P = 0.01), chronic HIV infection status (AOR, 4.5; P < 0.01), and increasing percent genetic distance between each dyad member's HIV pol gene sequence (AOR, 8.3 per each 1% increase, P < 0.01) were all associated with persons with HIV clustering but not being identified in the partner notification network component. Having anonymous partners or other factors typically associated with risk behavior were not associated. CONCLUSIONS: Based on genetic networks, partnerships which may be stigmatized, may have occurred farther back in time or may have an intervening partner were more likely to be unobserved in the partner contact network. The HIV genetic cluster information contributes to public health understanding of HIV transmission networks in these settings where partner identifying information is not available.

Community health needs assessment in Wake County, North Carolina: partnership of public health, hospitals, academia, and other stakeholders.

BACKGROUND: Hospitals and other health care agencies are required to conduct a community health needs assessment (CHNA) every 3 years to obtain information about the health needs and concerns of the population. In 2013, to avoid duplication of efforts and to achieve a more comprehensive CHNA, Wake County Human Services, WakeMed Health and Hospitals, Duke Raleigh Hospital, Rex Healthcare, Wake Health Services, United Way of the Greater Triangle, and the North Carolina Institute for Public Health partnered to conduct a joint assessment for Wake County. METHODS: Information was collected from the community through opinion surveys and focus groups. To understand the social, economic, and health status of Wake County residents, statistics were also collected from state, county, and local sources. Analysis of all data sources allowed 9 areas of community concern to be identified. Five community forums were held simultaneously at locations in east, south, west, north, and central Wake County to inform residents about the main findings of the assessment and to prioritize the 9 areas of concern. RESULTS: The top 3 priority areas identified were poverty and unemployment, health care access and utilization, and mental health and substance use. LIMITATIONS: Results may not be generalizable to counties in North Carolina that are more rural or to counties outside North Carolina. CONCLUSIONS: The success of this unique collaborative process provides further opportunity for the project partners and other organizations to coordinate action plans, pool resources, and jointly address the priorities of this assessment over the next 3 years.

Clostridium perfringens infections initially attributed to norovirus, North Carolina, 2010.

We investigated an outbreak initially attributed to norovirus; however, Clostridium perfringens toxicoinfection was subsequently confirmed. C. perfringens is an underrecognized but frequently observed cause of food-borne disease outbreaks. This investigation illustrates the importance of considering epidemiologic and laboratory data together when evaluating potential etiologic agents that might require unique control measures.

Leveraging Phylogenetics to Understand HIV Transmission and Partner Notification Networks.

BACKGROUND: Partner notification is an important component of public health test and treat interventions. To enhance this essential function, we assessed the potential for molecular methods to supplement routine partner notification and corroborate HIV networks. METHODS: All persons diagnosed with HIV infection in Wake County, NC, during 2012-2013 and their disclosed sexual partners were included in a sexual network. A data set containing HIV-1 pol sequences collected in NC during 1997-2014 from 15,246 persons was matched to HIV-positive persons in the network and used to identify putative transmission clusters. Both networks were compared. RESULTS: The partner notification network comprised 280 index cases and 383 sexual partners and high-risk social contacts (n = 131 HIV-positive). Of the 411 HIV-positive persons in the partner notification network, 181 (44%) did not match to a HIV sequence, 61 (15%) had sequences but were not identified in a transmission cluster, and 169 (41%) were identified in a transmission cluster. More than half (59%) of transmission clusters bridged sexual network partnerships that were not recognized in the partner notification; most of these clusters were dominated by men who have sex with men. CONCLUSIONS: Partner notification and HIV sequence analysis provide complementary representations of the existent partnerships underlying the HIV transmission network. The partner notification network components were bridged by transmission clusters, particularly among components dominated by men who have sex with men. Supplementing the partner notification network with phylogenetic data highlighted avenues for intervention.