B

Beksinska, A, Jama, Z, Kabuti, R, Kungu, M, Babu, H, Nyariki, E, Shah, P, Gwala, D, Oside, D, Kamene, R, Watata, A, Atieno, A, Njau, F, Njeri, E, Orobi, E, Lwingi, I, Nyabuto, C, Okumu, M, Mahero, A, Ngurukiri, P, Irungu, E, Adhiambo, W, Muthoga, P, Kaul, R, Seeley, J, Beattie, TS, Weiss, HA and Kimani, J (2021). Additional file 1 of Prevalence and correlates of common mental health problems and recent suicidal thoughts and behaviours among female sex workers in Nairobi, Kenya. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16815531.v1

D

Dennis, M, Radovich, E, Wong, K, Owolabi, O, Cavallaro, F, Mbizvo, MT, Binagwaho, A, Waiswa, P, Lynch, C and Benova, L (2017). Pathways to increased coverage: an analysis of time trends in contraceptive need and use among adolescents and young women in Kenya, Rwanda, Tanzania, and Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3907207

Dianati, K, Zimmermann, N, Milner, J, Muindi, K, Ezeh, A, Chege, M, Mberu, B, Kyobutungi, C, Fletcher, H, Wilkinson, P and Davies, M (2019). Household air pollution in Nairobi's slums: A long-term policy evaluation using participatory system dynamics. [Data Collection]. BMC Medicine. https://doi.org/10.1186/s12916-019-1260-6

Doyle, AM, Floyd, S, Baisley, K, Orindi, B, Kwaro, D, Mthiyane, TN, Muuo, S, Shahmanesh, M, Ziraba, A and Birdthistle, I (2018). Who are the male sexual partners of adolescent girls and young women? Comparative analysis of population data in three settings prior to DREAMS roll-out. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0198783

F

Falconer, J and Brunn, A (2024). Search strategies for "A Scoping Review of the Influence of Environmental Exposures on Health Outcomes in Kenya". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00004364.

G

Gitonga, CW, Noor, AM, Brooker, SJ and Snow, RW (2022). Nationwide school health surveys 2009-2010 in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UQLTO5

H

Halliday, K, Oswald, W, Mcharo, C, Beaumont, E, Gichuki, P, Kepha, S, Witek-mcmanus, S, Matendechero, S, El-Busaidy, H, Muendo, R, Chiguzo, A, Cano, J, Karanja, M, Musyoka, L, Safari, T, Mutisya, L, Muye, I, Sidigu, M, Anderson, R, Allen, E, Brooker, S, Mwandawiro, C, Njenga, S and Pullan, RL (2019). Household and Parasitology Survey, Kwale County, Kenya, 2015. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001170.

Hoyt, J, Hill, J, Achieng, F, Ouma, P, Kariuki, S, Desai, M and Webster, J (2021). Additional file 1 of Healthcare provider and pregnant women’s perspectives on the implementation of intermittent screening and treatment with dihydroartemisinin–piperaquine for malaria in pregnancy in western Kenya: a qualitative study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14880473.v1

Hoyt, J, Hill, J, Achieng, F, Ouma, P, Kariuki, S, Desai, M and Webster, J (2021). Additional file 2 of Healthcare provider and pregnant women’s perspectives on the implementation of intermittent screening and treatment with dihydroartemisinin–piperaquine for malaria in pregnancy in western Kenya: a qualitative study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14880476.v1

K

Kapulu, MC, Muthumbi, E, Otieno, E, Rossi, O, Ferruzzi, P, Necchi, F, Acquaviva, A, Martin, LB, Orindi, B, Mwai, K, Mwanzu, A, Bigogo, GM, Verani, JR, Mbae, C, Nyundo, C, Agoti, CN, Nakakana, UN, Conti, V, Bejon, P, Kariuki, S, Scott, JAG, Micoli, F and Podda, A (2023). Replication Data for: Age-dependent acquisition of IgG antibodies to Shigella serotypes – a retrospective analysis of sero-prevalence in Kenyan children. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/F5AV5G

Koech, A, Omuse, G, Mugo, A, Mwaniki, I, Mutunga, J, Mukhanya, M, Wanje, O, Mwashigadi, G, Katana, G, Craik, R, Von Dadelszen, P, Le Doare, K, Temmermen, M and The PRECISE Network (2024). SARS-CoV-2 Seroprevalence in Kenya dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003755.

L

Lucinde, RK, Mugo, D, Bottomley, C, Karani, A, Gardiner, E, Aziza, R, Gitonga, JN, Karanja, H, Nyagwange, J, Tuju, J, Wanjiku, P, Nzomo, E, Kamuri, E, Thuranira, K, Agunda, S, Nyutu, G, Etyang, AO, Adetifa, IMO, Kagucia, E, Uyoga, S, Otiende, M, Otieno, E, Ndwiga, L, Agoti, CN, Aman, RA, Mwangangi, M, Amoth, P, Kasera, K, Nyaguara, A, Ng’ang’a, W, Ochola, LB, Namdala, E, Gaunya, O, Okuku, R, Barasa, E, Bejon, P, Tsofa, B, Ochola-Oyier, LI, Warimwe, GM, Agweyu, A, Scott, JAG and Gallagher, KE (2022). Stan code and input data for estimating adjusted seroprevalence. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0265478.s005

M

Maitland, K, Ohuma, EO, Mpoya, A, Uyoga, S, Hassall, O and Williams, TN (2019). Admission records, including haemoglobin measurements, for 29,226 children admitted to a paediatric ward in a rural Kenyan hospital for the period 2002-2009. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7635908.v1

Malla, L, Langat, R and Akech, S (2021). CIN paediatric admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/C0CDP9

Mbau, R, Vassall, A, Gilson, L and Barasa, E (2023). Additional file 1 of Factors influencing institutionalization of health technology assessment in Kenya. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.23564916.v1

N

Nyundo, C, Doyle, AM, Walumbe, D, Otiende, M, Kinuthia, M, Amadi, D, Jibendi, B, Mochamah, G, Kihuha, N, Williams, TN, Ross, DA and Bauni, E (2017). Dataset Files 1 and 2 for version 1 of "Linking health facility data from young adults aged 18-24 years to longitudinal demographic data: Experience from The Kilifi Health and Demographic Surveillance System". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5202850.v1

Nyundo, C, Doyle, AM, Walumbe, D, Otiende, M, Kinuthia, M, Amadi, D, Jibendi, B, Mochamah, G, Kihuha, N, Williams, T, Ross, DA and Bauni, E (2020). Supplementary files 2 and 3 for "Linking health facility data from young adults aged 18-24 years to longitudinal demographic data: Experience from The Kilifi Health and Demographic Surveillance System". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11880657.v2

O

Oswald, W, Halliday, K, Mcharo, C, Witek-McManus, S, Kepha, S, Gichuki, PM, Cano, J, Diaz-Ordaz, K, Allen, E, Mwandawiro, CS, Anderson, RM, Brooker, S, Pullan, RL and Njenga, SM (2019). Sanitation conditions and STH infection among school-aged children in Kwale County, Kenya, 2015. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001306.

Oswald, W and Okiya, S (2024). TUMIKIA Project Household Questionnaire & Stool Sample Collection Form. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003812.

Otiende, M, Bauni, E, Nyaguara, A, Amadi, D, Nyundo, C, Tsory, E, Walumbe, D, Kinuthia, M, Kihuha, N, Kahindi, M, Nyutu, G, Moisi, J, Deribew, A, Agweyu, A, Marsh, K, Tsofa, B, Bejon, P, Bottomley, C, Williams, TN and Scott, JAG (2021). Replication Data for: Mortality in rural coastal Kenya measured using the Kilifi Health and Demographic Surveillance System: a 16-year descriptive analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/DDX7OK

Otiende, M, Nyaguara, A, Bottomley, C, Walumbe, D, Mochamah, G, Amadi, D, Nyundo, C, Kagucia, E, Etyang, A, Adetifa, I, Brand, S, Maitha, E, Chondo, E, Nzomo, E, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng'ang'a, W, Barasa, E, Tsofa, B, Mwangangi, J, Bejon, P, Agweyu, A, Williams, TN and Scott, JAG (2023). Replication Data for: Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/HAGRAK

P

Pullan, RL, Halliday, K, Oswald, W, Mcharo, C, Beaumont, E, Kepha, S, Witek-McManus, S, Gichuki, PM, Allen, E, Drake, T, Pitt, C, Matendechero, S, Gwayi-Chore, MC, Anderson, RM, Njenga, SM, Brooker, S and Mwandawiro, CS (2019). Household and Parasitology Surveys, Kwale County, Kenya, 2015-2017. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001305.

W

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between DREAMS and experiences of violence among AGYW followed up in 2019 by site and age group using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s005

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and any experience of violence among AGYW in Gem using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s007

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and any experience of violence among AGYW in Nairobi using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s006

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and emotional violence among AGYW in Gem using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s013

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and emotional violence among AGYW in Nairobi using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s012

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and physical violence among AGYW in Gem using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s010

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and physical violence among AGYW in Nairobi using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s009

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and sexual violence among AGYW in Gem using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s016

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and sexual violence among AGYW in Nairobi using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s015

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Characteristics of DREAMS beneficiaries and non-beneficiaries at time of cohort enrolment by invitation to DREAMS in Nairobi, Gem and uMkhanyakude. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s004

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Proportions of AGYW retained in the study vs lost to follow up by 2019, by AGYW characteristics in Gem. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s002

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Proportions of AGYW retained in the study vs lost to follow up by 2019, by AGYW characteristics in Nairobi. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s001

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Sensitivity analyses on the effect of DREAMS on experiences of violence among AGYW. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s018