Nagelkerke NJD - Search Results

1

Mapping and characterising areas with high levels of HIV transmission in sub-Saharan Africa: A geospatial analysis of national survey data.

Bulstra CA, Hontelez JAC, Giardina F, Steen R, Nagelkerke NJD, Bärnighausen T, de Vlas SJ. Bulstra CA, et al. Among authors: nagelkerke njd. PLoS Med. 2020 Mar 6;17(3):e1003042. doi: 10.1371/journal.pmed.1003042. eCollection 2020 Mar. PLoS Med. 2020. PMID: 32142509 Free PMC article.

2

Validation of parasite transmission models: the example of onchocerciasis.

Nagelkerke NJ, de Vlas SJ, Alley ES. Nagelkerke NJ, et al. Neth J Med. 2002 Aug;60(7 Suppl):44-9; discussion 50-1. Neth J Med. 2002. PMID: 12430590

3

The potential impact of RV144-like vaccines in rural South Africa: a study using the STDSIM microsimulation model.

Hontelez JA, Nagelkerke N, Bärnighausen T, Bakker R, Tanser F, Newell ML, Lurie MN, Baltussen R, de Vlas SJ. Hontelez JA, et al. Vaccine. 2011 Aug 18;29(36):6100-6. doi: 10.1016/j.vaccine.2011.06.059. Epub 2011 Jun 22. Vaccine. 2011. PMID: 21703321 Free PMC article.

4

Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa.

van der Werf MJ, de Vlas SJ, Brooker S, Looman CW, Nagelkerke NJ, Habbema JD, Engels D. van der Werf MJ, et al. Acta Trop. 2003 May;86(2-3):125-39. doi: 10.1016/s0001-706x(03)00029-9. Acta Trop. 2003. PMID: 12745133

5

Modelling the public health impact of male circumcision for HIV prevention in high prevalence areas in Africa.

Nagelkerke NJ, Moses S, de Vlas SJ, Bailey RC. Nagelkerke NJ, et al. BMC Infect Dis. 2007 Mar 13;7:16. doi: 10.1186/1471-2334-7-16. BMC Infect Dis. 2007. PMID: 17355625 Free PMC article.

6

The impact of pre-exposure prophylaxis (PrEP) on HIV epidemics in Africa and India: a simulation study.

Vissers DC, Voeten HA, Nagelkerke NJ, Habbema JD, de Vlas SJ. Vissers DC, et al. PLoS One. 2008 May 7;3(5):e2077. doi: 10.1371/journal.pone.0002077. PLoS One. 2008. PMID: 18461185 Free PMC article.

7

The rise and fall of HIV in high-prevalence countries: a challenge for mathematical modeling.

Nagelkerke NJ, Arora P, Jha P, Williams B, McKinnon L, de Vlas SJ. Nagelkerke NJ, et al. PLoS Comput Biol. 2014 Mar 13;10(3):e1003459. doi: 10.1371/journal.pcbi.1003459. eCollection 2014 Mar. PLoS Comput Biol. 2014. PMID: 24626088 Free PMC article. Review.

8

Heterogeneity in host HIV susceptibility as a potential contributor to recent HIV prevalence declines in Africa.

Nagelkerke N, de Vlas SJ, Jha P, Luo M, Plummer FA, Kaul R. Nagelkerke N, et al. AIDS. 2009 Jan 2;23(1):125-30. doi: 10.1097/QAD.0b013e3283177f20. AIDS. 2009. PMID: 19050394 Free PMC article.

9

Modelling HIV/AIDS epidemics in Botswana and India: impact of interventions to prevent transmission.

Nagelkerke NJ, Jha P, de Vlas SJ, Korenromp EL, Moses S, Blanchard JF, Plummer FA. Nagelkerke NJ, et al. Bull World Health Organ. 2002;80(2):89-96. Bull World Health Organ. 2002. PMID: 11953786 Free PMC article.

10

Estimating the magnitude of STD cofactor effects on HIV transmission: how well can it be done?

Korenromp EL, de Vlas SJ, Nagelkerke NJ, Habbema JD. Korenromp EL, et al. Sex Transm Dis. 2001 Nov;28(11):613-21. doi: 10.1097/00007435-200111000-00001. Sex Transm Dis. 2001. PMID: 11677381

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