Does it pay to be an artisanal fisher on the Kenyan coast?

2012 ◽  
Vol 15 (3) ◽  
pp. 308
Author(s):  
A. Allan Degen ◽  
Jan Hoorweg ◽  
Barasa C.C. Wangila
Keyword(s):  
Artisanal Fisher ◽  
Kenyan Coast

scholarly journals Crises and Resilience at the Frontline—Public Health Facility Managers under Devolution in a Sub-County on the Kenyan Coast

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0144768 ◽  
Author(s):  
Mary Nyikuri ◽  
Benjamin Tsofa ◽  
Edwine Barasa ◽  
Philip Okoth ◽  
Sassy Molyneux
Keyword(s):  
Public Health ◽  
Health Facility ◽  
Public Health Facility ◽  
Kenyan Coast

scholarly journals “When they see us, it’s like they have seen the benefits!”: experiences of study benefits negotiations in community-based studies on the Kenyan Coast

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Dorcas M Kamuya ◽  
Vicki Marsh ◽  
Patricia Njuguna ◽  
Patrick Munywoki ◽  
Michael Parker ◽  
...  
Keyword(s):  
Community Based ◽  
Kenyan Coast

scholarly journals Anopheles gambiae s.l. and Anopheles funestus Mosquito Distributions at 30 Villages along the Kenyan Coast

2005 ◽  
Vol 42 (3) ◽  
pp. 241-246 ◽  
Author(s):  
Joseph Keating ◽  
Charles M. Mbogo ◽  
Joseph Mwangangi ◽  
Joseph G. Nzovu ◽  
Weidong Gu ◽  
...  
Keyword(s):  
Anopheles Gambiae ◽  
Anopheles Funestus ◽  
Kenyan Coast

scholarly journals Validity, reliability, and measurement invariance of an adapted short version of the HIV stigma scale among perinatally HIV infected adolescents at the Kenyan coast

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Stanley W. Wanjala ◽  
Derrick Ssewanyana ◽  
Patrick N. Mwangala ◽  
Carophine Nasambu ◽  
Esther Chongwo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Age Groups ◽  
Hiv Stigma ◽  
Short Version ◽  
Stigma Scale ◽  
Gender And Age ◽  
Confirmatory Factor ◽  
Kenyan Coast

Abstract Background There is a dearth of instruments that have been developed and validated for use with children living with HIV under the age of 17 years in the Kenyan context. We examined the psychometric properties and measurement invariance of a short version of the Berger HIV stigma scale administered to perinatally HIV-infected adolescents in a rural setting on the Kenyan coast. Methods A cross-sectional study was conducted among 201 perinatally HIV-infected adolescents aged 12–17 years between November 2017 and October 2018. A short version of the Berger HIV stigma scale (HSS-40) containing twelve items (HSS-12) covering the four dimensions of stigma was evaluated. The psychometric assessment included exploratory factor analysis, confirmatory factor analysis (CFA), and multi-group CFA. Additionally, scale reliability was evaluated as internal consistency by calculating Cronbach’s alpha. Results Evaluation of the reliability and construct validity of the HSS-12 indicated insufficient reliability on three of the four subscales. Consequently, Exploratory Factor Analysis (EFA) was conducted to identify problematic items and determine ways to enhance the scale’s reliability. Based on the EFA results, two items were dropped. The Swahili version of this new 10-item HIV stigma scale (HSS-10) demonstrated excellent internal consistency with a Cronbach alpha of 0.86 (95% confidence interval (CI) 0.84–0.89). Confirmatory Factor Analysis indicated that a unidimensional model best fitted the data. The HSS-10 presented a good fit (overall Comparative Fit Index = 0.976, Tucker Lewis Index = 0.969, Root Mean Square Error of Approximation = 0.040, Standardised Root Mean Residual = 0.045). Additionally, multi-group CFA indicated measurement invariance across gender and age groups at the strict invariance level as ΔCFI was ≤ 0.01. Conclusion Our findings indicate that the HSS-10 has good psychometric properties and is appropriate for evaluating HIV stigma among perinatally HIV-infected adolescents on the Kenyan coast. Further, study results support the unidimensional model and measurement invariance across gender and age groups of the HSS-10 measure.

scholarly journals Low-Level Plasmodium falciparum Transmission and the Incidence of Severe Malaria Infections on the Kenyan Coast

1993 ◽  
Vol 49 (2) ◽  
pp. 245-253 ◽  
Author(s):  
Charles N. M. Mbogo ◽  
Kevin Marsh ◽  
Ephantus W. Kabiru ◽  
John H. Ouma ◽  
John C. Beier ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Severe Malaria ◽  
Low Level ◽  
Kenyan Coast

scholarly journals Cetacean Research and Citizen Science in Kenya

2021 ◽  
Vol 8 ◽  
Author(s):  
Michael Gilbert Mwango’mbe ◽  
Jane Spilsbury ◽  
Steve Trott ◽  
Judith Nyunja ◽  
Nina Wambiji ◽  
...  
Keyword(s):  
Citizen Science ◽  
Marine Mammal ◽  
Marine Mammals ◽  
Bottlenose Dolphins ◽  
Conservation Strategies ◽  
Science Data ◽  
Pilot Whale ◽  
Area Of Interest ◽  
Mammal Conservation ◽  
Kenyan Coast

In 2011, several non-governmental and government agencies established the Kenya Marine Mammal Network (KMMN) to provide a platform for the consistent collection of data on marine mammals along the Kenyan coast, identify areas of importance and engage marine users and the general public in marine mammal conservation. Prior to the KMMN, relatively little was known about marine mammals in Kenya, limiting conservation strategies. The KMMN collects data nationwide through dedicated surveys, opportunistic sightings and participative citizen science, currently involving more than 100 contributors. This paper reviews data on sightings and strandings for small cetaceans in Kenya collated by the KMMN. From 2011 to 2019, 792 records of 11 species of small cetaceans were documented. The most frequently reported inshore species were the Indo-Pacific bottlenose dolphin and Indian Ocean humpback dolphin. Offshore species, included killer whales, short-finned pilot whale and long-snouted spinner dolphin. Indo-Pacific bottlenose dolphins, long-snouted spinner dolphins, striped dolphins and Risso’s dolphins were recorded through stranding reports. The efforts of the KMMN were disseminated through international meetings (International Whaling Commission, World Marine Mammal Conference), national status reports, outreach and social media. Data has also supported the identification of three IUCN Important Marine Mammal Areas and one Area of Interest in Kenya. Further research is needed to improve estimates of cetacean abundance and distribution, particularly in unstudied coastal areas, and to assess the extent of anthropogenic threats associated with fisheries, coastal and port development, seismic exercises and unregulated tourism. The expansion of the network should benefit from the participation of remote coastal fishing communities, government research agencies, tourism and seismic operations, among others. The KMMN demonstrated the value of dedicated and citizen science data to enhance marine mammal conservation strategies to boost awareness and eco-tourism and to bring the public and science closer together, promoting research and effective conservation efforts.

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