Cancer burden among HIV-positive persons in Nigeria: preliminary findings from the Nigerian AIDS-cancer match study
© Akarolo-Anthony et al.; licensee BioMed Central Ltd. 2014
Received: 21 August 2013
Accepted: 13 December 2013
Published: 5 March 2014
Although Nigeria has a large HIV epidemic, the impact of HIV on cancer in Nigerians is unknown.
We conducted a registry linkage study using a probabilistic matching algorithm among a cohort of HIV positive persons registered at health facilities where the Institute of Human Virology Nigeria (IHVN) provides HIV prevention and treatment services. Their data was linked to data from 2009 to 2012 in the Abuja Cancer Registry. Match compatible files with first name, last name, sex, date of birth and unique HIV cohort identification numbers were provided by each registry and used for the linkage analysis. We describe demographic characteristics of the HIV clients and compute Standardized Incidence Ratios (SIRs) to evaluate the association of various cancers with HIV infection.
Between 2005 and 2012, 17,826 persons living with HIV (PLWA) were registered at IHVN. Their median age (Interquartile range (IQR)) was 33 (27–40) years; 41% (7246/17826) were men and 59% (10580/17826) were women. From 2009 to 2012, 2,029 clients with invasive cancers were registered at the Abuja Cancer Registry. The median age (IQR) of the cancer clients was 45 (35–68) years. Among PLWA, 39 cancer cases were identified, 69% (27/39) were incident cancers and 31% (12/39) were prevalent cancers. The SIR (95% CI) for the AIDS Defining Cancers were 5.7 (4.1, 7.2) and 2.0 (0.4, 3.5), for Kaposi Sarcoma and Cervical Cancer respectively.
The risk of Kaposi Sarcoma but not Cervical Cancer or Non-Hodgkin’s Lymphoma, was significantly increased among HIV positive persons, compared to the general population in Nigeria.
KeywordsHIV Cancer AIDS-cancer match Registry linkage Nigeria
HIV infection is associated with an increased risk of diverse cancers. Classically, the Centers for Disease Control and Prevention (CDC) designated Kaposi sarcoma (KS) cervical cancer (CC) and non-Hodgkin’s lymphoma (NHL) as AIDS defining cancers (ADCs) because of the association of these cancers with increased risk of HIV infection. The advent of highly active antiretroviral therapy (HAART) in 1996 has led to significant reduction in the incidence and prevalence of these ADCs . Nevertheless, the risk of ADCs remains high in many low and middle income countries (LMIC) where there are significant populations with HIV infection who are not on treatment. In contrast, in countries with mature HIV epidemics and combination ART, there is a modest increase in other cancers which have been designated non-AIDS defining cancers (NADCs), including anal, head and neck, lung and liver cancers, Hodgkin’s lymphoma, and melanoma [2–6].
Summary of AIDS-associated malignancy studies among adults in Africa, January 2001 – December 2012
Ocheni (2004) 
University College Hospital, Ibadan, Nigeria
Oct 2001 – June 2002
KS prevalence = 0.01%
n = 6; age range =29-35; m:f = 1:1.4
CC prevalence = 0.01%
NHL prevalence = 0.02%
Cisse (2007) 
Hôpital du Point G, Bamako, Mali
Oct 2004 – Sept 2005
KS prevalence = 1.6%
n = 37; mean age = 39.5; m:f = 1:1
Ibekwe (2011) 
University college hospital Ibadan, Nigeria
Oct 2008 - Sep 2009
KS prevalence =0.5%
n = 13; age range = 26 – 56; m:f = 1:1
Abdus-Salam (2006) 
University college hospital Ibadan, Nigeria
CC prevalence = 2.7%
n = 6
Bolarinwa (2009) 
Obafemi Awolowo university teaching hospital, Ile-Ife, Nigeria
Jan 1993 – Aug 2008
NHL = 1.5%
n = 9; age range = 24 – 60; m:f = 1:1
Chu (2010) 
3 primary care HIV clinics, Khayelitsha, Cape town, South Africa
May 2001 – Jan 2007
KS prevalence = 2.4%
n = 189; age IQR = 29 – 41; m:f = 1.4:1
Iregbu (2006) 
National hospital Abuja, Nigeria
Jan 2002 – July 2005
KS prevalence = 0.8%
n =15; age = 20–49; m:f = 2:1
Sitas (2000) 
Chris Hani-Baragwanath, Hillbrow, New Johannesburg Hospitals, South Africa
1995 – 1999
KS* = 21.9 (12.5, 38.6)
n CC = 167; n KS = 89; n = NHL = 23
NHL* = 5.0 (2.7-9.5)
CC* = 1.6 (1.1-2.3)
Stein (2008) 
Chris Hani Baragwanath, Hillbrow & New Johannesburg Hospitals, Johannesburg, South Africa
Mar 1995–June 2004
Age group 18 – 34 only
n CC = 167; n KS = 89; n NHL = 50
KS* = 58.6 (27.6, 124.5)
Age range = 18 – 55+
NH* = 6.6 (3.7, 12.0)
CC* = 1.5 (0.9, 2.4)
Mbulaiteye (2006) 
AIDS cancer registry match
Kampala cancer registry and AIDS support organization, Kyadondo, Uganda
Oct 1998 – Dec 2002
KS# = 6.4 (4.8-8.4)
Number of incident cancers = 137; age IQR = 25-35
NHL# = 6.7 (1.8-17)
CC# = 2.4 (1.1-1.4)
Chaabna (2011) 
Population-based cancer registries
Kyadondo, Uganda; Harare, Zimbabwe; Setif, Algeria; Sousse, Tunisia; and Gharbiah Egypt
1998 - 2002
KSP = <0.3– 26.3/100,000
CCP = <8-34.8/100,000
NHLP = 2.4 – 11.9/100,000
Nigeria being the most populous Country in Africa, with an estimated population of 170,123,740 (41% of whom are below age 15 years) in 2012  and the third highest population of persons living with HIV/AIDS (PLWA) in the world, is expected to bear a significant proportion of the projected AIDS associated cancer burden in Africa. The incidence and prevalence of cancer among PLWA in Nigeria is not known. This lack of data hampers the ability to formulate sound policy for clinical and public health intervention. The successful implementation of record-linkage studies in different parts of the world, e.g. Uganda, India, suggests that this may be a feasible approach to the study of AIDS associated cancers in Nigeria.
We conducted this study to evaluate the spectrum of cancers diagnosed among PLWA in Nigeria using the record-linkage technique.
Baseline characteristics of persons registered with the Institute of Human Virology Nigeria (IHVN) HIV registry
HIV registry (N = 17,826)
Sex, n (%)
Age (years), n (%)
0 – 14
15 – 24
25 – 34
35 – 44
45 – 54
55 – 64
Median age at diagnosis, IQR (years)
Calendar year of registration, n (%)
Spectrum of observed cancers and standardized incidence ratios for HIV-infected persons
Incidence/100,000 person years
SIR (95% CI)
AIDS defining cancers
5.7 (4.1, 7.2)
2.0 (0.4, 3.5)
Non AIDS defining cancers
0.3 (0, 17.8)
0.5 (0, 5.1)
Other non-epithelial skin
4.0 (0, 8.5)
1.6 (0.2, 3.0)
3.6 (0, 20.1)
0.4 (0, 16.9)
1.5 (0, 18.1)
0.5 (0, 4.7)
This study is the first to use record linkage analysis to estimate cancer incidence among PLWA in West Africa. Among the ADCs, only KS was significantly increased among HIV positive persons and there was no statistically significant increase in incidence of NHL, CC and NADCs. These results for KS and CC are consistent with the findings from studies conducted in other countries where increased risk of KS among HIV positive persons and no association between CC and HIV was found [24–26]. Although several studies suggest that the burden of NHL is increased among HIV positive persons in Africa [12, 13, 27, 28], studies from West Africa have not supported this, just like our results. Similar to Bolarinwa et al., we identified several cases of NHL in the general population but none of these were matched in the HIV registry .
The relatively low incidence of cancers among HIV positive persons in Nigeria is probably multifactorial. An important possibility may be due to lack of cancer diagnosis. Given the size of the HIV/AIDS epidemic and main focus to diagnose and treat HIV or roll out prevention programs, care providers may miss clinical features suggestive of cancer in persons with HIV infection or fail to investigate those clients thoroughly. Although not well documented, our causal impression is that some physicians who are concerned about occupational exposure to HIV may provide limited quality services to HIV positive persons [29, 30]. Finally, the infrastructure to diagnose, refer, and register patients may also have caused low levels of utilization of diagnostic procedures needed to confirm cancer diagnosis in PLWA .
There is some evidence that ascertainment of cancer by the ABCR may not be complete. For example, the Kampala Cancer Registry, which covers a population of about 2.1 million, registered 4235 cancer cases during 2007 - 2009 . ABCR, which covers a population of about 1.4 million, registered 1815 cancer cases from 2009–2011 registered. This may be due to a longer experience with cancer registration resulting in more complete data or a lifestyle with a higher cancer risk profile in Uganda. We also note that the HIV prevalence is higher in Kyadondo compared to Abuja, 15% and 8.6%, respectively [12, 32], which may lead to a higher burden of HIV-associated cancers, such as KS in Uganda. In this regard, it is worth noting that the prevalence of human herpesvirus 8 is lower in Nigeria compared to Uganda , which would also explain the lower prevalence of cancer in ABCR, particularly KS. Our study highlights the opportunity to improve case finding methods of cancer registries in Nigeria. Similar to other countries in Africa, the infrastructure for population-based cancer registries is poorly developed and not fully linked to the HIV screening and registration process. Increased utilization of electronic medical records and databases, improved collaboration between registries and a multidisciplinary approach to data collection and management will improve case ascertainment of HIV and cancer cases, their report to registries and the linkage of registry data. A separate study evaluating the completeness of data obtained by the ABCR is under way.
Other possible explanations for the low cancer incidence include the availability of HAART, which would be associated with improved immune function and reduced risk of AIDS-associated cancers, such as KS [34, 35]. The coverage of HAART in HIV positive persons in Nigeria is relatively low (24% of individuals who should be on HAART ), thus the contribution of this factor is uncertain. Loss to follow-up is another possible explanation , as is competing mortality from common diseases, such as tuberculosis and malaria.
Our study is also limited by the small sample size thus we were unable to compare prevalent versus incident cancers and we lacked sufficient power to detect small differences that may exist between the general population and the HIV positive population. Another limitation is lack of unique individual personal identification numbers, such as social security numbers, which would increase the specificity and accuracy of the match. Nevertheless, thorough clerical review of the linked records increased our confidence in the matched records in study. Additional research is needed to understand and improve the specificity of matches in resource-limited settings, where unique individual identification numbers are generally lacking. As the HIV positive population in Nigeria continues to age, coverage with HAART improves and the registry systems are strengthened, more record linkage studies to examine the growing public health impact of cancers occurring in people living with HIV/AIDS will be warranted.
We used record-linkage analysis to evaluate AIDS-defining cancers in Nigeria and provide insights about their risk. Consistent with the findings from other studies, the risk of Kaposi Sarcoma but not Cervical Cancer or Non-Hodgkin’s Lymphoma, was significantly increased among HIV positive persons, compared to the general population in Sub-Saharan Africa. Further studies are required to more thoroughly examine the relationship between cancers and HIV in West Africa and its determinants.
Abuja where this study was conducted is Nigeria’s Federal Capital Territory, it had a population of 1.4 million in 2006 . Because of its role as the capital of Nigeria, individuals from all the Country’s ethnic groups, tribes and religions live there. Muslims make up approximately 50% of the population, Christians 40%, while the remainder adhere to indigenous beliefs. Abuja has five districts and several surrounding towns and villages. The estimated HIV prevalence in Abuja FCT was 8.6% in 2010, the fifth highest in Nigeria .
The study population is a cohort of 18,929 HIV positive persons, who were registered at the Institute of Human Virology Nigeria (IHVN) HIV Care and Treatment programs in Abuja, Nigeria between 2005 and 2012. The IHVN HIV cohort was established in 2005, and has accrued ~2,000 new clients per year on average, of whom the majority (>90%) have Abuja as their permanent address. Upon registration, each person is given a unique HIV cohort identification number, in addition to the hospital number. Information on age, date of birth, first name and last name, sex, marital status, educational level, occupation, address (street/city/state) and phone number are obtained. In addition, anthropometric measurements and physical examinations are performed, biologic samples are collected for quantitative and qualitative tests and referrals to appropriate departments are made when indicated. More than 90% of the clients have complete demographic information.
Abuja Cancer Registry (ABCR) is a population based cancer registry established in 2009. It covers the population of Abuja where majority of its clients (>97%) permanently reside. National Hospital Abuja (NHA), which is located in one of Abuja’s main districts, and University of Abuja Teaching Hospital (UATH), which is located in the main suburban district of Abuja are the main sources of data for the ABCR. Other ABCR data sources include public and private hospitals, and free-standing pathology laboratories in Abuja. Cancer registrars visit the data sources once a month to perform medical chart abstraction and identify new cases of cancer diagnosed during the month. For each new case, hospital number, first and last names, age and date birth, sex, tribe, address, date of diagnosis, tumor site and histology are collected.
The registry linkage was performed with a probabilistic matching algorithm, using the software for automated linkage in Italy (SALI) software. SALI is a software designed for a linkage analysis of small registries, with few expected linked cases . Files with first name, last name, sex, date of birth and HIV or cancer registration numbers were provided by each registry and used for the linkage analysis. The names were edited by deleting titles, prefixes, suffixes and by correcting common variations in spelling in order to improve match sensitivity. The registry linkage was conducted in collaboration with the developers of SALI. Linkage was done by researchers who were independent of the HIV and cancer registries. To ascertain the validity of the linkage analysis, an extensive review of the medical records was conducted, to confirm the identifiers and diagnosis on all matched cases.
Descriptive analyses were performed to characterize the demographic attributes of the clients in the IHVN and ABCR registries. Cancer incidence rates among HIV positive persons, were estimated by dividing the number of cancers by person-years of follow-up. In addition, we categorized cancers in persons with HIV or AIDS occurring 60 months before to 3 months after registration at IHVN’s HIV treatment and prevention sites as prevalent; cancers occurring 4 to 27 months after registration as early-incident; and cancers occurring 28 months after registration as late-incident cancers . Standardized incidence ratios (SIRs), a ratio of the number of cancers observed among subjects, to the number of cancers expected, were estimated and used to evaluate the association of various cancers with HIV infection in the incident period. The number of expected cases for each cancer type was calculated as a sum of the product of person-time of HIV positive clients and the corresponding sex, age and period specific cancer rates from the ABCR. The source of the population count was Nigeria’s National Population Council (NPC) data, which is stratified by age, sex and geographic location . As in the Ugandan record-linkage study, we considered cancers to be associated with HIV infection if SIRs were significantly increased in the incident period . Statistical analyses were performed with SAS for UNIX statistical software (version 9.2; SAS Institute).
Written informed consent was obtained from the patient for the publication of this report and any accompanying images.
The study was conducted according to the Nigerian National Code for Health Research Ethics and the Declaration of Helsinki. Ethical approval to conduct this study was obtained from the Institute of Human Virology Health Research Ethics Committee.
Abuja cancer registry
AIDS defining cancers
Acquired immunodeficiency syndrome
Center for disease control
Highly active antiretroviral therapy
Human immunodeficiency virus
International classification of diseases
Institute of human virology Nigeria
National agency for the control of AIDS
Non-AIDS defining cancers
People living with HIV/AIDS
Software for automated linkage in Italy.
We thank Serraino Diego for his contribution to the registry linkage analysis. This research was supported by the IHV-UM Capacity Development for Research into AIDS Associated Malignancies (CADRE), a U.S. National Institutes of Health grant (NIH/NCI D43CA153792-01) awarded to CAA.
- Centers for Disease Control and Prevention: HIV/AIDS surveillance report, 8.http://www.cdc.gov/hiv/pdf/statistics_hivsur82.pdf,
- Goedert JJ, Cote TR, Virgo P, Scoppa SM, Kingma DW, Gail MH, Jaffe ES, Biggar RJ: Spectrum of AIDS-associated malignant disorders. Lancet. 1998, 351: 1833-1839. 10.1016/S0140-6736(97)09028-4.PubMedView ArticleGoogle Scholar
- Cooksley CD, Hwang LY, Waller DK, Ford CE: HIV-related malignancies: community-based study using linkage of cancer registry and HIV registry data. Int J STD AIDS. 1999, 10: 795-802. 10.1258/0956462991913574.PubMedView ArticleGoogle Scholar
- Frisch M, Biggar RJ, Engels EA, Goedert JJ: Association of cancer with AIDS-related immunosuppression in adults. JAMA. 2001, 285: 1736-1745. 10.1001/jama.285.13.1736.PubMedView ArticleGoogle Scholar
- Selik RM, Rabkin CS: Cancer death rates associated with human immunodeficiency virus infection in the United States. J Natl Cancer Inst. 1998, 90: 1300-1302. 10.1093/jnci/90.17.1300.PubMedView ArticleGoogle Scholar
- Powles T, Robinson D, Stebbing J, Shamash J, Nelson M, Gazzard B, Mandelia S, Moller H, Bower M: Highly active antiretroviral therapy and the incidence of non-AIDS-defining cancers in people with HIV infection. J Clin Oncol. 2009, 27: 884-890. 10.1200/JCO.2008.19.6626.PubMedView ArticleGoogle Scholar
- Parkin DM, Wabinga H, Nambooze S, Wabwire-Mangen F: AIDS-related cancers in Africa: maturation of the epidemic in Uganda. AIDS. 1999, 13: 2563-2570. 10.1097/00002030-199912240-00010.PubMedView ArticleGoogle Scholar
- Parkin DM, Garcia-Giannoli H, Raphael M, Martin A, Katangole-Mbidde E, Wabinga H, Ziegler J: Non-Hodgkin lymphoma in Uganda: a case–control study. AIDS. 2000, 14: 2929-2936. 10.1097/00002030-200012220-00015.PubMedView ArticleGoogle Scholar
- Chokunonga E, Levy LM, Bassett MT, Mauchaza BG, Thomas DB, Parkin DM: Cancer incidence in the African population of Harare, Zimbabwe: second results from the cancer registry 1993–1995. Int J Cancer. 2000, 85: 54-59. 10.1002/(SICI)1097-0215(20000101)85:1<54::AID-IJC10>3.0.CO;2-D.PubMedView ArticleGoogle Scholar
- Dal Maso L, Serraino D, Franceschi S: Epidemiology of AIDS-related tumours in developed and developing countries. Eur J Cancer. 2001, 37: 1188-1201. 10.1016/S0959-8049(01)00120-4.PubMedView ArticleGoogle Scholar
- Dal Maso L, Serraino D, Franceschi S: Epidemiology of HIV-associated malignancies. Cancer Treat Res. 2001, 104: 1-18. 10.1007/978-1-4615-1601-9_1.PubMedView ArticleGoogle Scholar
- Mbulaiteye SM, Katabira ET, Wabinga H, Parkin DM, Virgo P, Ochai R, Workneh M, Coutinho A, Engels EA: Spectrum of cancers among HIV-infected persons in Africa: the Uganda AIDS-cancer registry match study. Int J Cancer. 2006, 118: 985-990. 10.1002/ijc.21443.PubMedView ArticleGoogle Scholar
- Sitas F, Pacella-Norman R, Carrara H, Patel M, Ruff P, Sur R, Jentsch U, Hale M, Rowji P, Saffer D, et al: The spectrum of HIV-1 related cancers in South Africa. Int J Cancer. 2000, 88: 489-492. 10.1002/1097-0215(20001101)88:3<489::AID-IJC25>3.0.CO;2-Q.PubMedView ArticleGoogle Scholar
- Ocheni S, Aken’Ova YA: Association between HIV/AIDS and malignancies in a Nigerian tertiary institution. West Afr J Med. 2004, 23: 151-155.PubMedGoogle Scholar
- Cisse H, Dao S, Oumar AA, Dembele JP, Cisse IA, Traore CB, Fongoro: [AIDS related Kaposi’s disease in Hospital area in Bamako]. Mali Med. 2007, 22: 29-32.PubMedGoogle Scholar
- Ibekwe PU, Ogunbiyi OA, Ogun GO, George OA: Kaposi’s sarcoma in HIV-infected women and men in Nigeria. AIDS Patient Care STDS. 2011, 25: 635-637. 10.1089/apc.2011.0122.PubMedView ArticleGoogle Scholar
- Abdus-Salam A, Ogunnorin O, Abdus-Salam R: HIV seroprevalence in patients with carcinoma of the cervix in Ibadan, Nigeria. Ghana Med J. 2008, 42: 141-143.PubMedPubMed CentralGoogle Scholar
- Bolarinwa RA, Ndakotsu MA, Oyekunle AA, Salawu L, Akinola NO, Durosinmi MA: AIDS-related lymphomas in Nigeria. Braz J Infect Dis. 2009, 13: 359-361.PubMedView ArticleGoogle Scholar
- Chu KM, Mahlangeni G, Swannet S, Ford NP, Boulle A, Van Cutsem G: AIDS-associated Kaposi’s sarcoma is linked to advanced disease and high mortality in a primary care HIV programme in South Africa. J Int AIDS Soc. 2010, 13: 23-10.1186/1758-2652-13-23.PubMedPubMed CentralView ArticleGoogle Scholar
- Iregbu KC, Elegba OY: Prevalence of Kaposi’s sarcoma among adult HIV-seropositive patients seen in a designated HIV treatment and care center in Abuja, Nigeria. J Int Assoc Physicians AIDS Care (Chic). 2006, 5: 115-118. 10.1177/1545109706290176.View ArticleGoogle Scholar
- Stein L, Urban MI, O’Connell D, Yu XQ, Beral V, Newton R, Ruff P, Donde B, Hale M, Patel M, Sitas F: The spectrum of human immunodeficiency virus-associated cancers in a South African black population: results from a case–control study, 1995–2004. Int J Cancer. 2008, 122: 2260-2265. 10.1002/ijc.23391.PubMedView ArticleGoogle Scholar
- Chaabna K, Boniol M, de Vuyst H, Vanhems P, Antonio de Avila Vitoria M, Curado MP: Geographical patterns of Kaposi’s sarcoma, nonHodgkin lymphomas, and cervical cancer associated with HIV infection in five African populations. Eur J Cancer Prev. 2011, 21: 1-9.View ArticleGoogle Scholar
- The world factbook.https://www.cia.gov/library/publications/the-world-factbook/geos/ni.html,
- Grulich AE, Li Y, McDonald AM, Correll PK, Law MG, Kaldor JM: Decreasing rates of Kaposi’s sarcoma and non-Hodgkin’s lymphoma in the era of potent combination anti-retroviral therapy. AIDS. 2001, 15: 629-633. 10.1097/00002030-200103300-00013.PubMedView ArticleGoogle Scholar
- Dal Maso L, Franceschi S, Polesel J, Braga C, Piselli P, Crocetti E, Falcini F, Guzzinati S, Zanetti R, Vercelli M, Rezza G: Risk of cancer in persons with AIDS in Italy, 1985–1998. Br J Cancer. 2003, 89: 94-100. 10.1038/sj.bjc.6601017.PubMedPubMed CentralView ArticleGoogle Scholar
- Mbulaiteye SM, Parkin DM, Rabkin CS: Epidemiology of AIDS-related malignancies an international perspective. Hematol Oncol Clin North Am. 2003, 17: 673-696. 10.1016/S0889-8588(03)00048-0. vPubMedView ArticleGoogle Scholar
- Newton R, Ziegler J, Beral V, Mbidde E, Carpenter L, Wabinga H, Mbulaiteye S, Appleby P, Reeves G, Jaffe H: A case–control study of human immunodeficiency virus infection and cancer in adults and children residing in Kampala, Uganda. Int J Cancer. 2001, 92: 622-627. 10.1002/1097-0215(20010601)92:5<622::AID-IJC1256>3.0.CO;2-K.PubMedView ArticleGoogle Scholar
- Newton R, Grulich A, Beral V, Sindikubwabo B, Ngilimana PJ, Nganyira A, Parkin DM: Cancer and HIV infection in Rwanda. Lancet. 1995, 345: 1378-1379.PubMedView ArticleGoogle Scholar
- Adebamowo CA, Ezeome ER, Ajuwon JA, Ogundiran TO: Survey of the knowledge, attitude and practice of Nigerian surgery trainees to HIV-infected persons and AIDS patients. BMC Surgery. 2002, 2: 7-10.1186/1471-2482-2-7.PubMedPubMed CentralView ArticleGoogle Scholar
- Reis C, Heisler M, Amowitz LL, Moreland RS, Mafeni JO, Anyamele C, Iacopino V: Discriminatory attitudes and practices by health workers toward patients with HIV/AIDS in Nigeria. PLoS Med. 2005, 2: e246-10.1371/journal.pmed.0020246.PubMedPubMed CentralView ArticleGoogle Scholar
- KAMPALA CANCER REGISTRY REPORT for the Period 2007 – 2009. Book KAMPALA CANCER REGISTRY REPORT for the Period 2007 – 2009. Edited by: (Editor ed.^eds.), AFCRN edition. 2012, Kampla, Uganda
- Global AIDS Response Progress Report (GARPR) Nigeria.http://www.unaids.org/en/dataanalysis/monitoringCountryprogress/progressreports/2012countries/ce_NG_Narrative_Report%5B1%5D.pdf,
- Pfeiffer RM, Wheeler WA, Mbisa G, Whitby D, Goedert JJ, de The G, Mbulaiteye SM: Geographic heterogeneity of prevalence of the human herpesvirus 8 in sub-Saharan Africa: clues about etiology. Ann Epidemiol. 2010, 20: 958-963. 10.1016/j.annepidem.2010.07.098.PubMedView ArticleGoogle Scholar
- Detels R, Munoz A, McFarlane G, Kingsley LA, Margolick JB, Giorgi J, Schrager LK, Phair JP: Effectiveness of potent antiretroviral therapy on time to AIDS and death in men with known HIV infection duration. Multicenter AIDS cohort study investigators. JAMA. 1998, 280: 1497-1503. 10.1001/jama.280.17.1497.PubMedView ArticleGoogle Scholar
- Palella FJ, Delaney KM, Moorman AC, Loveless MO, Fuhrer J, Satten GA, Aschman DJ, Holmberg SD: Declining morbidity and mortality among patients with advanced human immunodeficiency virus infectio. HIV outpatient study investigatorsn. N Engl J Med. 1998, 338: 853-860. 10.1056/NEJM199803263381301.PubMedView ArticleGoogle Scholar
- Charurat M, Oyegunle M, Benjamin R, Habib A, Eze E, Ele P, Ibanga I, Ajayi S, Eng M, Mondal P, et al: Patient retention and adherence to antiretrovirals in a large antiretroviral therapy program in Nigeria: a longitudinal analysis for risk factors. PLoS One. 2010, 5: e10584-10.1371/journal.pone.0010584.PubMedPubMed CentralView ArticleGoogle Scholar
- National population commission: 2006 population & housing census, Nigeria.http://www.population.gov.ng/index.php/state-population,
- Dal Maso L, Braga C, Franceschi S: Methodology used for “software for automated linkage in Italy” (SALI). J Biomed Inform. 2001, 34: 387-395. 10.1006/jbin.2002.1036.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.