Rethinking the role of the local community in HIV epidemic spread in sub-Saharan Africa: A proximate-determinants approach

HIV Therapy

Volumn 3, Issue 5, 2009, Pages 435-445

  Bärnighausen, Till ^a,b   Tanser, Frank ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Community; Epidemiology; HIV acquisition and transmission; Multilevel

Indexed keywords

AFRICA; ATTITUDE TO HEALTH; CAUSAL ATTRIBUTION; COMMUNITY CARE; CONCEPTUAL FRAMEWORK; CONTACT EXAMINATION; DISEASE PREDISPOSITION; DISEASE TRANSMISSION; EPIDEMIC; HEALTH PROMOTION; HIGH RISK BEHAVIOR; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; REVIEW; SEXUAL BEHAVIOR;

EID: 70349221689     PISSN: 17584310     EISSN: None     Source Type: Journal    
DOI: 10.2217/hiv.09.33     Document Type: Review

References (93)

1. UNAIDS: 2007 AIDS Epidemic Update. UNAIDS the Joint United Nations Programme on HIV/AIDS Geneva, Switzerland (2007).
2. WHO/UNAIDS/UNICEF: Towards Universal Access: Scaling Up Priority HIV/ AIDS Interventions in the Health Sector. WHO, Geneva, Switzerland (2008).
3. UNAIDS/WHO: Sub-Saharan Africa: AIDS Epidemic Update Regional Summary. UNAIDS Geneva, Switzerland (2008).
4. Bärnighausen T, Tanser F, Newell M-L: Lack of a decline in HIV incidence in a rural community with high HIV prevalence in South Africa, 2003-2007. AIDS Res. Hum. Retroviruses 25(4), 405-409 (2009).
5. Lewis JJ, Donnelly CA, Mare P, Mupambireyi Z, Garnett G, Gregson S: Evaluating the proximate determinants framework for HIV infection in rural Zimbabwe. Sex. Transm. Infect. 83(Suppl. 1), i61-i69 (2007). ■ Uses the Boerma-Weir proximate-determinants framework to analyze factors associated with HIV status.
6. Asamoah-Odei E, Garcia Calleja JM, Boerma JT: HIV prevalence and trends in sub-Saharan Africa: no decline and large subregional differences. Lancet 364(9428), 35-40 (2004).
7. Auvert B, Buve A, Ferry B et al.: Ecological and individual level ana lysis of risk factors for HIV infection in four urban populations in sub-Saharan Africa with different levels of HIV infection. AIDS 15(Suppl. 4), S15-S30 (2001).
8. Buve A, Bishikwabo-Nsarhaza K, Mutangadura G: The spread and effect of HIV-1 infection in sub-Saharan Africa. Lancet 359(9322), 2011-2017 (2002). (Pubitemid 34663721)
9. Manhart LE, Holmes KK: Randomized controlled trials of individual-level, population-level, and multilevel interventions for preventing sexually transmitted infections: what has worked? J. Infect. Dis. 191(Suppl. 1), S7-S24 (2005).
10. Boerma JT, Gregson S, Nyamukapa C, Urassa M: Understanding the uneven spread of HIV within Africa: comparative study of biologic, behavioral, and contextual factors in rural populations in Tanzania and Zimbabwe. Sex. Transm. Dis. 30(10), 779-787 (2003). (Pubitemid 37229489)
11. Hayes R, Weiss H: Understanding HIV epidemic trends in Africa. Science 311(5761), 620-621 (2006). (Pubitemid 43191297)
12. Morison L: The global epidemiology of HIV/ AIDS. Br. Med. Bull. 58(1), 7-18 (2001).
13. Bärnighausen T, Hosegood V, Timaeus IM, Newell ML: The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa. AIDS 21(Suppl. 7), S29-S38 (2007). ■ Good example of individual-level analysis of distal determinants of HIV acquisition.
14. Caldwell JC: Rethinking the African AIDS epidemic. Popul. Dev. Rev. 26(1), 117-135 (2000).
15. Quinn TC: Population migration and the spread of types 1 and 2 human immunodeficiency viruses. Proc. Natl Acad. Sci. USA 91(7), 2407-2414 (1994).
16. Serwadda D, Wawer MJ, Musgrave SD, Sewankambo NK, Kaplan JE, Gray RH: HIV risk factors in three geographic strata of rural Rakai District, Uganda. AIDS 6(9), 983-989 (1992).
17. Grosskurth H, Mosha F, Todd J et al.: Impact of improved treatment of sexually transmitted diseases on HIV infection in rural Tanzania: randomised controlled trial. Lancet 346(8974), 530-536 (1995).
18. Kamali A, Carpenter LM, Whitworth JA, Pool R, Ruberantwari A, Ojwiya A: Seven-year trends in HIV-1 infection rates, and changes in sexual behaviour, among adults in rural Uganda. AIDS 14(4), 427-434 (2000). (Pubitemid 30182440)
19. Wawer MJ, Sewankambo NK, Serwadda D et al.: Control of sexually transmitted diseases for AIDS prevention in Uganda: a randomised community trial. Rakai Project Study Group. Lancet 353(9152), 525-535 (1999). (Pubitemid 29078422)
20. Korenromp EL, White RG, Orroth KK et al.: Determinants of the impact of sexually transmitted infection treatment on prevention of HIV infection: a synthesis of evidence from the Mwanza, Rakai, and Masaka intervention trials. J. Infect. Dis. 191(Suppl. 1), S168-S178 (2005).
21. Aral SO, Padian NS, Holmes KK: Advances in multilevel approaches to understanding the epidemiology and prevention of sexually transmitted infections and HIV: an overview. J. Infect. Dis. 191(Suppl. 1), S1-S6 (2005). ■■ Important article reviewing the use of multilevel analysis in understanding the epidemiology of sexually transmitted infections and HIV.
22. Broome KM, Joe GW, Simpson DD: HIV risk reduction in outpatient drug abuse treatment: individual and geographic differences. AIDS Educ. Prev. 11(4), 293-306 (1999).
23. Rosel J, Oliver JC, Jara P, Caballer A: A multilevel time-series model for the incidence of AIDS cases in Spain. Health Place 6(4), 309-317 (2000). (Pubitemid 30750710)
24. Lopman B, Nyamukapa C, Mushati P et al.: HIV incidence in 3 years of follow-up of a Zimbabwe cohort - 1998-2000 to 2001-2003: contributions of proximate and underlying determinants to transmission. Int. J. Epidemiol. 37(1), 88-105 (2008). ■ Uses the Boerma-Weir proximate-determinants framework to analyze factors determining HIV acquisition.
25. Diez Roux AV, Aiello AE: Multilevel analysis of infectious diseases. J. Infect. Dis. 191(Suppl. 1), S25-S33 (2005). ■■ Provides an overview of the statistical theory and rationale for analyses that incorporate group-level effects in infectious disease epidemiology.
26. Garnett GP: The geographical and temporal evolution of sexually transmitted disease epidemics. Sex. Transm. Infect. 78(Suppl. 1), i14-i19 (2002).
27. Tanser F, Bärnighausen T, Cooke GS, Newell M-L: Localized spatial clustering of HIV infections in a widely disseminated rural South African epidemic. Int. J. Epidemiol. (2009). ■ Uses a novel spatial conceptualization of the local community to identify several localized HIV epidemics of varying intensity within a relatively small geographical area in rural South Africa.
28. Durkheim E: The Rules of Sociological Method. Free Press of Glencoe, NY, USA (1964).
29. Link BG, Phelan J: Social conditions as fundamental causes of disease. J. Health Soc. Behav. 35, 80-94 (1995).
30. Padian NS, Aral SO, Holmes KK: Individual, group and population approaches to STD/HIV prevention. In: Sexually Transmitted Diseases. Wasserheit J (Ed.). McGraw-Hill, NY, USA 1231-1238 (1999).
31. Maticka-Tyndale E, Brouillard-Coylea C: The effectiveness of community interventions targeting HIV and AIDS prevention at young people in developing countries. World Health Organ. Tech. Rep. Ser. 938, 243-285; discussion 317-341 (2006).
32. Wegbreit J, Bertozzi S, DeMaria LM, Padian NS: Effectiveness of HIV prevention strategies in resource-poor countries: tailoring the intervention to the context. AIDS 20(9), 1217-1235 (2006). (Pubitemid 44030370)
33. Auerbach JD, Hayes RJ, Kandathil SM: Overview of effective and promising interventions to prevent HIV infection. World Health Organ. Tech. Rep. Ser. 938, 43-78; discussion 317-341 (2006).
34. Crepaz N, Lyles CM, Wolitski RJ et al.: Do prevention interventions reduce HIV risk behaviours among people living with HIV? A meta-analytic review of controlled trials. AIDS 20(2), 143-157 (2006).
35. Bonell C, Imrie J: Behavioural interventions to prevent HIV infection: rapid evolution, increasing rigour, moderate success. Br. Med. Bull. 58, 155-170 (2001). (Pubitemid 33070769)
36. Sikkema KJ, Kelly JA, Winett RA et al.: Outcomes of a randomized community-level HIV prevention intervention for women living in 18 low-income housing developments. Am. J. Public Health 90(1), 57-63 (2000).
37. Kelly JA, Murphy DA, Sikkema KJ et al.: Randomised, controlled, community-level HIV-prevention intervention for sexual-risk behaviour among homosexual men in US cities. Community HIV Prevention Research Collaborative. Lancet 350(9090), 1500-1505 (1997).
38. Kaleeba N, Kadowe JN, Lalinaki D, Williams BG: Open Secret: People Facing Up to HIV and AIDS in Uganda. ACTIONAID, London, UK (2000).
39. Koopman JS: Emerging objectives and methods in epidemiology. Am. J. Public Health 86(5), 630-632 (1996).
40. Koopman JS, Lynch JW: Individual causal models and population system models in epidemiology. Am. J. Public Health 89(8), 1170-1174 (1999).
41. Garnett GP: Theory is critical in understanding the risks of acquiring HIV. Sex. Transm. Dis. 34(10), 737-738 (2007).
42. Menken J: Proximate determinants of fertility and mortality: a review of recent findings. Sociological Forum 2(4), 697-717 (1987).
43. Davis K, Blake J: Social structure and fertility: an analytical framework. Econ. Dev. Cult. Change 4(3), 211-235 (1956).
44. Bongaarts J: A framework for analyzing the proximate determinants of fertility. Popul. Dev. Rev. 4(1), 105-132 (1978). ■■ One of the classic articles developing a proximate-determinants framework of fertility.
45. Boerma JT, Weir SS: Integrating demographic and epidemiological approaches to research on HIV/AIDS: the proximate-determinants framework. J. Infect. Dis. 191(Suppl. 1), S61-S67 (2005). ■■ Individual-level proximate-determinants framework of HIV transmission.
46. Mosley WH, Chen LC: An analytical framework for the study of child survival in developing countries. Popul. Dev. Rev. 10(Suppl.), 25-45 (1984). ■ One of the classic articles developing a proximate-determinants framework of child survival.
47. Van Norren B, Boerma JT, Sempebwa EK: Simplifying the evaluation of primary health care programmes. Soc. Sci. Med. 28(10), 1091-1097 (1989). (Pubitemid 19098663)
48. Mosley WH, Becker S: Demographic models for child survival and implications for health interventions programmes. Health Policy Plan. 6, 6218-16133 (1991).
49. Becker S, Black RE: A model of child morbidity, mortality, and health interventions. Popul. Dev. Rev. 22(3), 431-456 (1996). (Pubitemid 27358640)
50. Anderson R, May R: Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, NY, USA (1991).
51. Hue S, Pillay D, Clewley JP, Pybus OG: Genetic analysis reveals the complex structure of HIV-1 transmission within defined risk groups. Proc. Natl Acad. Sci. USA 102(12), 4425-4429 (2005).
52. de Oliveira T, Pybus OG, Rambaut A et al.: Molecular epidemiology: HIV-1 and HCV sequences from Libyan outbreak. Nature 444(7121), 836-837 (2006).
53. Borgdorff MW, Barongo LR, Klokke AH et al.: HIV-1 incidence and HIV-1 associated mortality in a cohort of urban factory workers in Tanzania. Genitourin. Med. 71(4), 212-215 (1995).
54. Bulterys M, Chao A, Habimana P, Dushimimana A, Nawrocki P, Saah A: Incident HIV-1 infection in a cohort of young women in Butare, Rwanda. AIDS 8(11), 1585-1591 (1994). (Pubitemid 24335096)
55. Ahmed S, Lutalo T, Wawer M et al.: HIV incidence and sexually transmitted disease prevalence associated with condom use: a population study in Rakai, Uganda. AIDS 15(16), 2171-2179 (2001). (Pubitemid 33101825)
56. Auvert B, Taljaard D, Lagarde E, Sobngwi-Tambekou J, Sitta R, Puren A: Randomized, controlled intervention trial of male circumcision for reduction of HIV infection risk: the ANRS 1265 Trial. PLoS Med. 2(11), e298 (2005).
57. Mermin J, Musinguzi J, Opio A et al.: Risk factors for recent HIV infection in Uganda. JAMA 300(5), 540-549 (2008).
58. Bärnighausen T, Wallrauch C, Welte A et al.: HIV incidence in rural South Africa: comparison of estimates from longitudinal surveillance and cross-sectional cBED assay testing. PLoS ONE 3(11), e3640 (2008).
59. Auld MC: Estimating behavioral response to the AIDS epidemic. Contrib. Econ. Anal. Pol. 5(1) (Article 12) (2006).
60. Philipson T, Ahituv A, Hotz J: The responsiveness of the demand for condoms to the local prevalence of AIDS. J. Hum. Resour. 31(4), 869-897 (1996).
61. Morris M, Kretzschmar M: Concurrent partnerships and the spread of HIV. AIDS 11(5), 641-648 (1997).
62. Mandell GL, Bennett JE, Dolin R: Principles and Practice of Infectious Diseases. Elsevier, Philadelphia, PA, USA (2005).
63. Kraut-Becher JR, Aral SO: Gap length: an important factor in sexually transmitted disease transmission. Sex. Transm. Dis. 30(3), 221-225 (2003).
64. Morris M, Kurth AE, Hamilton DT, Moody J, Wakefield S: Concurrent partnerships and HIV prevalence disparities by race: linking science and public health practice. Am. J. Public Health 99(6), 1023-1031 (2009).
65. Jennings JM, Curriero FC, Celentano D, Ellen JM: Geographic identification of high gonorrhea transmission areas in Baltimore, Maryland. Am. J. Epidemiol. 161(1), 73-80 (2005). (Pubitemid 40053281)
66. Becker KM, Glass GE, Brathwaite W, Zenilman JM: Geographic epidemiology of gonorrhea in Baltimore, Maryland, using a geographic information system. Am. J. Epidemiol. 147(7), 709-716 (1998). (Pubitemid 28180315)
67. Bernstein KT, Curriero FC, Jennings JM, Olthoff G, Erbelding EJ, Zenilman J: Defining core gonorrhea transmission utilizing spatial data. Am. J. Epidemiol. 160(1), 51-58 (2004). (Pubitemid 38856801)
68. Ellen JM, Hessol NA, Kohn RP, Bolan GA: An investigation of geographic clustering of repeat cases of gonorrhea and chlamydial infection in San Francisco, 1989-1993: evidence for core groups. J. Infect. Dis. 175(6), 1519-1522 (1997).
69. Schleihauf E, Watkins RE, Plant AJ: Heterogeneity in the spatial distribution of bacterial STIs. Sex. Transm. Infect. 85(1), 45-49 (2009).
70. Bloom SS, Urassa M, Isingo R, Ng'weshemi J, Boerma JT: Community effects on the risk of HIV infection in rural Tanzania. Sex. Transm. Infect. 78(4), 261-266 (2002).
71. Msisha WM, Kapiga SH, Earls FJ, Subramanian SV: Place matters: multilevel investigation of HIV distribution in Tanzania. AIDS 22(6), 741-748 (2008).
72. Weir SS, Pailman C, Mahlalela X, Coetzee N, Meidany F, Boerma JT: From people to places: focusing AIDS prevention efforts where it matters most. AIDS 17(6), 895-903 (2003).
73. Humblet O, Paul C, Dickson N: Core group evolution over time: high-risk sexual behavior in a birth cohort between sexual debut and age 26. Sex. Transm. Dis. 30(11), 818-824 (2003). (Pubitemid 37386211)
74. Fichtenberg CM, Ellen JM: Moving from core groups to risk spaces. Sex. Transm. Dis. 30(11), 825-826 (2003).
75. Kawachi I, Subramanian SV: Neighbourhood influences on health. J. Epidemiol. Community Health 61(1), 3-4 (2007).
76. Snijders T, Bosker R: Multilevel Analysis: an Introduction to Basic and Advanced Multilevel Modelling. Sage, London, UK (1999).
77. Diez-Roux AV: Bringing context back into epidemiology: variables and fallacies in multilevel ana lysis. Am. J. Public Health 88(2), 216-222 (1998).
78. Newell ML, Bärnighausen T: Male circumcision to cut HIV risk in the general population. Lancet 369(9562), 617-619 (2007).
79. Van Damme L, Govinden R, Mirembe FM et al.: Lack of effectiveness of cellulose sulfate gel for the prevention of vaginal HIV transmission. N. Engl. J. Med. 359(5), 463-472 (2008).
80. Watson-Jones D, Weiss HA, Rusizoka M et al.: Effect of herpes simplex suppression on incidence of HIV among women in Tanzania. N. Engl. J. Med. 358(15), 1560-1571 (2008).
81. Pronyk PM, Hargreaves JR, Kim JC et al.: Effect of a structural intervention for the prevention of intimate-partner violence and HIV in rural South Africa: a cluster randomised trial. Lancet 368(9551), 1973-1983 (2006).
82. Khumalo-Sakutukwa G, Morin SF, Fritz K et al.: Project Accept (HPTN 043): a community-based intervention to reduce HIV incidence in populations at risk for HIV in sub-Saharan Africa and Thailand. J. Acquir. Immune Defic. Syndr. 49(4), 422-431 (2008).
83. Agha S, Van Rossem R: Impact of a school-based peer sexual health intervention on normative beliefs, risk perceptions, and sexual behavior of Zambian adolescents. J. Adolesc. Health 34(5), 441-452 (2004). (Pubitemid 38496332)
84. Wawer MJ, Sewankambo NK, Berkley S et al.: Incidence of HIV-1 infection in a rural region of Uganda. BMJ 308(6922), 171-173 (1994). (Pubitemid 2012875)
85. Imbens G, Angrist J, Rubin D: Identification of causal effects using instrumental variables. J. Econom. 71(1-2), 145-160 (1996).
86. Heckman JL: Causal parameters and policy analysis in economics: a twentieth century retrospective. Q. J. Econ. 115(1), 45-97 (2000).
87. Heckman JL, Leamer E: Handbook of Econometrics. Elsevier Science, Amsterdam, The Netherlands (2001).
88. Heckman J: Sample selection bias as a specification error. Econometrica 47, 153-161 (1979).
89. Winship C: Models for sample selection bias. Annu. Rev. Sociol. 18, 327-350 (1992).
90. Angrist JD, Krueger AB: Instrumental variables and the search for identification: from supply and demand to natural experiments. J. Econ. Perspect. 15(4), 69-85 (2001).
91. Susser M: Causal Thinking in the Health Sciences Concepts and Strategies of Epidemiology. Oxford University Press, NY, USA (1973).
92. Poundstone KE, Strathdee SA, Celentano DD: The social epidemiology of human immunodeficiency virus/acquired immunodeficiency syndrome. Epidemiol. Rev. 26(1), 22-35 (2004).
93. Zielhuis GA, Kiemeney LALM: Social epidemiology? No way. Int. J. Epidemiol. 30(1), 43-44 (2001).