Developing a dynamic HIV transmission model for 6 U.S. cities: An evidence synthesis
Acquired Immunodeficiency Syndrome
Science
Q
R
HIV
HIV Infections
United States
3. Good health
Epidemiologic Studies
Sexual and Gender Minorities
03 medical and health sciences
0302 clinical medicine
Risk Factors
Antiretroviral Therapy, Highly Active
Medicine
Humans
Pre-Exposure Prophylaxis
Cities
Research Article
DOI:
10.1371/journal.pone.0217559
Publication Date:
2019-05-30T17:28:45Z
AUTHORS (17)
ABSTRACT
Dynamic HIV transmission models can provide evidence-based guidance on optimal combination implementation strategies to treat and prevent HIV/AIDS. However, these be extremely data intensive, the availability of good-quality characterizing regional microepidemics varies substantially within across countries. We aim a comprehensive transparent description an evidence synthesis process reporting framework employed populate calibrate dynamic, compartmental model for six US cities. executed mixed-method strategy parameters in categories: (i) initial HIV-negative HIV-infected populations; (ii) used calculate probability transmission; (iii) screening, diagnosis, treatment disease progression; (iv) prevention programs; (v) costs medical care; (vi) health utility weights each stage progression. identified that required city-specific stratification by gender, risk group race/ethnicity priori sought out databases primary analysis augment our synthesis. ranked quality parameter using context- domain-specific criteria verified sources assumptions with scientific advisory committee. To inform 1,667 needed model, we synthesized from 59 peer-reviewed publications 24 public surveillance reports analyses 11 sets. Of parameters, 1,517 (91%) were 150 (9%) common all Notably, 1,074 (64%), 201 (12%) 312 (19%) corresponded categories (i), (iii), respectively. Parameters as best- moderate-quality comprised 39% ranged 56%-60% cities parameters. variation values well race/ethnic groups. Better integration modelling decision making achieved systematically is models, explicitly assessing entered into model. The effective communication this help prioritize collection most informative components local care services order reduce uncertainty strengthen conclusions.
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