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Prevalence and Correlates of Neurocognitive Disorders among HIV Patients on Antiretroviral Therapy at a Kenyan Hospital.

Neurology research international

Mugendi AG, Kubo MN, Nyamu DG, Mwaniki LM, Wahome SK, Haberer JE.
PMID: 31781391
Neurol Res Int. 2019 Oct 30;2019:5173289. doi: 10.1155/2019/5173289. eCollection 2019.

BACKGROUND: HIV-associated neurocognitive disorders (HAND) represent a spectrum of cognitive abnormalities affecting attention, concentration, learning, memory, executive function, psychomotor speed, and/or dexterity. Our objectives in this analysis are to determine the prevalence of HAND and the covariates in a...

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Mugendi AG, Kubo MN, Nyamu DG, et al. Prevalence and Correlates of Neurocognitive Disorders among HIV Patients on Antiretroviral Therapy at a Kenyan Hospital. Neurol Res Int. 2019;2019:5173289doi: 10.1155/2019/5173289.
Mugendi, A. G., Kubo, M. N., Nyamu, D. G., Mwaniki, L. M., Wahome, S. K., & Haberer, J. E. (2019). Prevalence and Correlates of Neurocognitive Disorders among HIV Patients on Antiretroviral Therapy at a Kenyan Hospital. Neurology research international, 20195173289. https://doi.org/10.1155/2019/5173289
Mugendi, A G, et al. "Prevalence and Correlates of Neurocognitive Disorders among HIV Patients on Antiretroviral Therapy at a Kenyan Hospital." Neurology research international vol. 2019 (2019): 5173289. doi: https://doi.org/10.1155/2019/5173289
Mugendi AG, Kubo MN, Nyamu DG, Mwaniki LM, Wahome SK, Haberer JE. Prevalence and Correlates of Neurocognitive Disorders among HIV Patients on Antiretroviral Therapy at a Kenyan Hospital. Neurol Res Int. 2019 Oct 30;2019:5173289. doi: 10.1155/2019/5173289. eCollection 2019. PMID: 31781391; PMCID: PMC6875169.
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Potential Influence of Regulation of the Food Value Chain on Prevalence and Patterns of Antimicrobial Resistance: the Case of Tilapia (Oreochromis niloticus).

Applied and environmental microbiology

Onjong HA, Ntuli V, Wambui J, Mwaniki M, Njage PMK.
PMID: 34550759
Appl Environ Microbiol. 2021 Nov 10;87(23):e0094521. doi: 10.1128/AEM.00945-21. Epub 2021 Sep 22.

The current study was designed to evaluate the potential impact of the level of regulation on the prevalence and patterns of antimicrobial agent resistance in bacteria isolated from fish. The study sites included two large lakes and both semiregulated...

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Onjong HA, Ntuli V, Wambui J, et al. Potential Influence of Regulation of the Food Value Chain on Prevalence and Patterns of Antimicrobial Resistance: the Case of Tilapia (Oreochromis niloticus). Appl Environ Microbiol. 2021;87(23):e0094521doi: 10.1128/AEM.00945-21.
Onjong, H. A., Ntuli, V., Wambui, J., Mwaniki, M., & Njage, P. M. K. (2021). Potential Influence of Regulation of the Food Value Chain on Prevalence and Patterns of Antimicrobial Resistance: the Case of Tilapia (Oreochromis niloticus). Applied and environmental microbiology, 87(23), e0094521. https://doi.org/10.1128/AEM.00945-21
Onjong, Hillary Adawo, et al. "Potential Influence of Regulation of the Food Value Chain on Prevalence and Patterns of Antimicrobial Resistance: the Case of Tilapia (Oreochromis niloticus)." Applied and environmental microbiology vol. 87,23 (2021): e0094521. doi: https://doi.org/10.1128/AEM.00945-21
Onjong HA, Ntuli V, Wambui J, Mwaniki M, Njage PMK. Potential Influence of Regulation of the Food Value Chain on Prevalence and Patterns of Antimicrobial Resistance: the Case of Tilapia (Oreochromis niloticus). Appl Environ Microbiol. 2021 Nov 10;87(23):e0094521. doi: 10.1128/AEM.00945-21. Epub 2021 Sep 22. PMID: 34550759; PMCID: PMC8579994.
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Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982-2013): Topographical, gauge density, and model forcing influence.

The Science of the total environment

Agutu NO, Awange JL, Ndehedehe C, Mwaniki M.
PMID: 31881473
Sci Total Environ. 2020 Mar 20;709:135149. doi: 10.1016/j.scitotenv.2019.135149. Epub 2019 Nov 23.

The negative impact of Upper Greater Horn of Africa's (UGHA) complex topography on drought characterization exacerbated by gauge density and model forcing parameters has not been investigated. In order to fill this gap, this study employs a combination of...

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Agutu NO, Awange JL, Ndehedehe C, et al. Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982-2013): Topographical, gauge density, and model forcing influence. Sci Total Environ. 2019;709:135149doi: 10.1016/j.scitotenv.2019.135149.
Agutu, N. O., Awange, J. L., Ndehedehe, C., & Mwaniki, M. (2020). Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982-2013): Topographical, gauge density, and model forcing influence. The Science of the total environment, 709135149. https://doi.org/10.1016/j.scitotenv.2019.135149
Agutu, N O, et al. "Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982-2013): Topographical, gauge density, and model forcing influence." The Science of the total environment vol. 709 (2020): 135149. doi: https://doi.org/10.1016/j.scitotenv.2019.135149
Agutu NO, Awange JL, Ndehedehe C, Mwaniki M. Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982-2013): Topographical, gauge density, and model forcing influence. Sci Total Environ. 2020 Mar 20;709:135149. doi: 10.1016/j.scitotenv.2019.135149. Epub 2019 Nov 23. PMID: 31881473.
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Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities.

International journal of environmental research and public health

Nowicki S, Bukachi SA, Hoque SF, Katuva J, Musyoka MM, Sammy MM, Mwaniki M, Omia DO, Wambua F, Charles KJ.
PMID: 35010851
Int J Environ Res Public Health. 2022 Jan 05;19(1). doi: 10.3390/ijerph19010597.

Reducing disease from unsafe drinking-water is a key environmental health objective in rural Sub-Saharan Africa, where water management is largely community-based. The effectiveness of environmental health risk reporting to motivate sustained behaviour change is contested but as efforts to...

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Nowicki S, Bukachi SA, Hoque SF, et al. Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities. Int J Environ Res Public Health. 2022;19(1)doi: 10.3390/ijerph19010597.
Nowicki, S., Bukachi, S. A., Hoque, S. F., Katuva, J., Musyoka, M. M., Sammy, M. M., Mwaniki, M., Omia, D. O., Wambua, F., & Charles, K. J. (2022). Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities. International journal of environmental research and public health, 19(1), . https://doi.org/10.3390/ijerph19010597
Nowicki, Saskia, et al. "Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities." International journal of environmental research and public health vol. 19,1 (2022). doi: https://doi.org/10.3390/ijerph19010597
Nowicki S, Bukachi SA, Hoque SF, Katuva J, Musyoka MM, Sammy MM, Mwaniki M, Omia DO, Wambua F, Charles KJ. Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities. Int J Environ Res Public Health. 2022 Jan 05;19(1). doi: 10.3390/ijerph19010597. PMID: 35010851; PMCID: PMC8744942.
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Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities.

International journal of environmental research and public health

Nowicki S, Bukachi SA, Hoque SF, Katuva J, Musyoka MM, Sammy MM, Mwaniki M, Omia DO, Wambua F, Charles KJ.
PMID: 35010851
Int J Environ Res Public Health. 2022 Jan 05;19(1). doi: 10.3390/ijerph19010597.

Reducing disease from unsafe drinking-water is a key environmental health objective in rural Sub-Saharan Africa, where water management is largely community-based. The effectiveness of environmental health risk reporting to motivate sustained behaviour change is contested but as efforts to...

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Nowicki S, Bukachi SA, Hoque SF, et al. Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities. Int J Environ Res Public Health. 2022;19(1)doi: 10.3390/ijerph19010597.
Nowicki, S., Bukachi, S. A., Hoque, S. F., Katuva, J., Musyoka, M. M., Sammy, M. M., Mwaniki, M., Omia, D. O., Wambua, F., & Charles, K. J. (2022). Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities. International journal of environmental research and public health, 19(1), . https://doi.org/10.3390/ijerph19010597
Nowicki, Saskia, et al. "Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities." International journal of environmental research and public health vol. 19,1 (2022). doi: https://doi.org/10.3390/ijerph19010597
Nowicki S, Bukachi SA, Hoque SF, Katuva J, Musyoka MM, Sammy MM, Mwaniki M, Omia DO, Wambua F, Charles KJ. Fear, Efficacy, and Environmental Health Risk Reporting: Complex Responses to Water Quality Test Results in Low-Income Communities. Int J Environ Res Public Health. 2022 Jan 05;19(1). doi: 10.3390/ijerph19010597. PMID: 35010851.
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Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya.

Wellcome open research

Mawji A, Akech S, Mwaniki P, Dunsmuir D, Bone J, Wiens MO, Görges M, Kimutai D, Kissoon N, English M, Ansermino MJ.
PMID: 33997296
Wellcome Open Res. 2019 Aug 14;4:121. doi: 10.12688/wellcomeopenres.15387.1. eCollection 2019.

No abstract available.

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Mawji A, Akech S, Mwaniki P, et al. Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya. Wellcome Open Res. 2019;4:121doi: 10.12688/wellcomeopenres.15387.1.
Mawji, A., Akech, S., Mwaniki, P., Dunsmuir, D., Bone, J., Wiens, M. O., Görges, M., Kimutai, D., Kissoon, N., English, M., & Ansermino, M. J. (2019). Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya. Wellcome open research, 4121. https://doi.org/10.12688/wellcomeopenres.15387.1
Mawji, Alishah, et al. "Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya." Wellcome open research vol. 4 (2019): 121. doi: https://doi.org/10.12688/wellcomeopenres.15387.1
Mawji A, Akech S, Mwaniki P, Dunsmuir D, Bone J, Wiens MO, Görges M, Kimutai D, Kissoon N, English M, Ansermino MJ. Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya. Wellcome Open Res. 2019 Aug 14;4:121. doi: 10.12688/wellcomeopenres.15387.1. eCollection 2019. PMID: 33997296; PMCID: PMC8097734.
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[No title available]

PeerJ

Kinyanyi D, Obiero G, Obiero GFO, Amwayi P, Mwaniki S, Wamalwa M.
PMID: 29492339
PeerJ. 2018 Feb 22;6:e4396. doi: 10.7717/peerj.4396. eCollection 2018.

African swine fever virus (ASFV) is the etiological agent of ASF, a fatal hemorrhagic fever that affects domestic pigs. There is currently no vaccine against ASFV, making it a significant threat to the pork industry. The ASFV genome sequence...

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Kinyanyi D, Obiero G, Obiero GFO, et al. . PeerJ. 2018;6:e4396doi: 10.7717/peerj.4396.
Kinyanyi, D., Obiero, G., Obiero, G. F. O., Amwayi, P., Mwaniki, S., & Wamalwa, M. (2018). . PeerJ, 6e4396. https://doi.org/10.7717/peerj.4396
Kinyanyi, Dickson, et al. "." PeerJ vol. 6 (2018): e4396. doi: https://doi.org/10.7717/peerj.4396
Kinyanyi D, Obiero G, Obiero GFO, Amwayi P, Mwaniki S, Wamalwa M. . PeerJ. 2018 Feb 22;6:e4396. doi: 10.7717/peerj.4396. eCollection 2018. PMID: 29492339; PMCID: PMC5825884.
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ADAPTING A STIGMA SCALE FOR ASSESSMENT OF TUBERCULOSIS-RELATED STIGMA AMONG ENGLISH/SWAHILI-SPEAKING PATIENTS IN AN AFRICAN SETTING.

Stigma and health

Marangu D, Mwaniki H, Nduku S, Maleche-Obimbo E, Jaoko W, Babigumira J, John-Stewart G, Rao D.
PMID: 29399635
Stigma Health. 2017 Nov;2(4):326. doi: 10.1037/sah0000056.

OBJECTIVE: To adapt a validated instrument that quantitatively measures stigma among English/Swahili speaking TB (tuberculosis) patients in Kenya, a high burden TB country.METHODS: Following ethical approval, we elicited feedback on the English and Swahili translated Stigma Scale for Chronic...

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Marangu D, Mwaniki H, Nduku S, et al. ADAPTING A STIGMA SCALE FOR ASSESSMENT OF TUBERCULOSIS-RELATED STIGMA AMONG ENGLISH/SWAHILI-SPEAKING PATIENTS IN AN AFRICAN SETTING. Stigma Health. 2017;2(4):326doi: 10.1037/sah0000056.
Marangu, D., Mwaniki, H., Nduku, S., Maleche-Obimbo, E., Jaoko, W., Babigumira, J., John-Stewart, G., & Rao, D. (2017). ADAPTING A STIGMA SCALE FOR ASSESSMENT OF TUBERCULOSIS-RELATED STIGMA AMONG ENGLISH/SWAHILI-SPEAKING PATIENTS IN AN AFRICAN SETTING. Stigma and health, 2(4), 326. https://doi.org/10.1037/sah0000056
Marangu, Diana, et al. "ADAPTING A STIGMA SCALE FOR ASSESSMENT OF TUBERCULOSIS-RELATED STIGMA AMONG ENGLISH/SWAHILI-SPEAKING PATIENTS IN AN AFRICAN SETTING." Stigma and health vol. 2,4 (2017): 326. doi: https://doi.org/10.1037/sah0000056
Marangu D, Mwaniki H, Nduku S, Maleche-Obimbo E, Jaoko W, Babigumira J, John-Stewart G, Rao D. ADAPTING A STIGMA SCALE FOR ASSESSMENT OF TUBERCULOSIS-RELATED STIGMA AMONG ENGLISH/SWAHILI-SPEAKING PATIENTS IN AN AFRICAN SETTING. Stigma Health. 2017 Nov;2(4):326. doi: 10.1037/sah0000056. PMID: 29399635; PMCID: PMC5793924.
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Correction to: An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya.

BMC medicine

Tuti T, Agweyu A, Mwaniki P, Peek N, English M.
PMID: 29207988
BMC Med. 2017 Dec 05;15(1):212. doi: 10.1186/s12916-017-0980-8.

CORRECTION: The original article contains an omission in the Acknowledgements sub-section of the Declarations.

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Tuti T, Agweyu A, Mwaniki P, et al. Correction to: An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya. BMC Med. 2017;15(1):212doi: 10.1186/s12916-017-0980-8.
Tuti, T., Agweyu, A., Mwaniki, P., Peek, N., English, M. (2017). Correction to: An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya. BMC medicine, 15(1), 212. https://doi.org/10.1186/s12916-017-0980-8
Tuti, Timothy, et al. "Correction to: An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya." BMC medicine vol. 15,1 (2017): 212. doi: https://doi.org/10.1186/s12916-017-0980-8
Tuti T, Agweyu A, Mwaniki P, Peek N, English M. Correction to: An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya. BMC Med. 2017 Dec 05;15(1):212. doi: 10.1186/s12916-017-0980-8. PMID: 29207988; PMCID: PMC5715507.
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Fully immunized child: coverage, timing and sequencing of routine immunization in an urban poor settlement in Nairobi, Kenya.

Tropical medicine and health

Mutua MK, Kimani-Murage E, Ngomi N, Ravn H, Mwaniki P, Echoka E.
PMID: 27433132
Trop Med Health. 2016 May 16;44:13. doi: 10.1186/s41182-016-0013-x. eCollection 2016.

BACKGROUND: More efforts have been put in place to increase full immunization coverage rates in the last decade. Little is known about the levels and consequences of delaying or vaccinating children in different schedules. Vaccine effectiveness depends on the...

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Mutua MK, Kimani-Murage E, Ngomi N, et al. Fully immunized child: coverage, timing and sequencing of routine immunization in an urban poor settlement in Nairobi, Kenya. Trop Med Health. 2016;44:13doi: 10.1186/s41182-016-0013-x.
Mutua, M. K., Kimani-Murage, E., Ngomi, N., Ravn, H., Mwaniki, P., & Echoka, E. (2016). Fully immunized child: coverage, timing and sequencing of routine immunization in an urban poor settlement in Nairobi, Kenya. Tropical medicine and health, 4413. https://doi.org/10.1186/s41182-016-0013-x
Mutua, Martin Kavao, et al. "Fully immunized child: coverage, timing and sequencing of routine immunization in an urban poor settlement in Nairobi, Kenya." Tropical medicine and health vol. 44 (2016): 13. doi: https://doi.org/10.1186/s41182-016-0013-x
Mutua MK, Kimani-Murage E, Ngomi N, Ravn H, Mwaniki P, Echoka E. Fully immunized child: coverage, timing and sequencing of routine immunization in an urban poor settlement in Nairobi, Kenya. Trop Med Health. 2016 May 16;44:13. doi: 10.1186/s41182-016-0013-x. eCollection 2016. PMID: 27433132; PMCID: PMC4940963.
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Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya.

Wellcome open research

Mawji A, Akech S, Mwaniki P, Dunsmuir D, Bone J, Wiens MO, Görges M, Kimutai D, Kissoon N, English M, Ansermino MJ.
PMID: 33997296
Wellcome Open Res. 2020 Dec 15;4:121. doi: 10.12688/wellcomeopenres.15387.2. eCollection 2019.

No abstract available.

Cite
Mawji A, Akech S, Mwaniki P, et al. Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya. Wellcome Open Res. 2020;4:121doi: 10.12688/wellcomeopenres.15387.2.
Mawji, A., Akech, S., Mwaniki, P., Dunsmuir, D., Bone, J., Wiens, M. O., Görges, M., Kimutai, D., Kissoon, N., English, M., & Ansermino, M. J. (2019). Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya. Wellcome open research, 4121. https://doi.org/10.12688/wellcomeopenres.15387.2
Mawji, Alishah, et al. "Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya." Wellcome open research vol. 4 (2019): 121. doi: https://doi.org/10.12688/wellcomeopenres.15387.2
Mawji A, Akech S, Mwaniki P, Dunsmuir D, Bone J, Wiens MO, Görges M, Kimutai D, Kissoon N, English M, Ansermino MJ. Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya. Wellcome Open Res. 2020 Dec 15;4:121. doi: 10.12688/wellcomeopenres.15387.2. eCollection 2019. PMID: 33997296; PMCID: PMC8097734.2.
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Determinants of preconception care among pregnant women in an urban and a rural health facility in Kenya: a qualitative study.

BMC pregnancy and childbirth

Okemo JK, Kamya D, Mwaniki AM, Temmerman M.
PMID: 34743694
BMC Pregnancy Childbirth. 2021 Nov 08;21(1):752. doi: 10.1186/s12884-021-04201-w.

BACKGROUND: Preconception care (PCC) is a form of preventive health care that is offered to women and couples before conception, with the aim of improving their health status and mitigating various risk factors that could contribute to poor maternal...

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Okemo JK, Kamya D, Mwaniki AM, et al. Determinants of preconception care among pregnant women in an urban and a rural health facility in Kenya: a qualitative study. BMC Pregnancy Childbirth. 2021;21(1):752doi: 10.1186/s12884-021-04201-w.
Okemo, J. K., Kamya, D., Mwaniki, A. M., & Temmerman, M. (2021). Determinants of preconception care among pregnant women in an urban and a rural health facility in Kenya: a qualitative study. BMC pregnancy and childbirth, 21(1), 752. https://doi.org/10.1186/s12884-021-04201-w
Okemo, J K, et al. "Determinants of preconception care among pregnant women in an urban and a rural health facility in Kenya: a qualitative study." BMC pregnancy and childbirth vol. 21,1 (2021): 752. doi: https://doi.org/10.1186/s12884-021-04201-w
Okemo JK, Kamya D, Mwaniki AM, Temmerman M. Determinants of preconception care among pregnant women in an urban and a rural health facility in Kenya: a qualitative study. BMC Pregnancy Childbirth. 2021 Nov 08;21(1):752. doi: 10.1186/s12884-021-04201-w. PMID: 34743694; PMCID: PMC8573977.
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