3 research outputs found

    Prevalence and associated factors of occupational injuries in an industrial city in Ghana.

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    BackgroundWorkers are exposed to workplace hazards which increase their risk of occupational injury. Data on occupational injuries and associated factors are important for planning and informing national policy regarding workplace health and safety. This study sought to estimate the prevalence and factors associated with occupational injuries among workers in an industrial city in Ghana.MethodsA community-based cross-sectional survey was conducted among 459 workers in the Tema industrial enclave in Ghana from 22nd December 2020 to 27th February 2021. Participants were recruited using a two-stage sampling technique. Eight communities were randomly selected from twenty-five communities in the first stage while households in each community were randomly selected in the second stage. Data on socio-demographic characteristics, occupational health and safety and occupational injuries were collected. Logistic regression was used to examine the relationship between occupational injuries and associated factors.ResultsThe mean age of the workers was 33.9 (±6.8) years with a range of 21-53 while over 18.1% of them were working at the Port and Harbour. The prevalence of occupational injury among the workers in the preceding twelve months was 64.7%. The mechanism of injury was mainly the use of working tools (45.8%) and hot surfaces, substances or chemicals (14.1%). Being a casual staff (AOR: 2.26, 95%CI: 1.04-4.92), working at Port and Harbour (AOR: 3.77, 95%CI: 1.70-8.39), no health and safety training (AOR: 2.18, 95%CI: 1.08-4.39), dissatisfaction with health and safety measures (AOR: 4.31, 95%CI: 2.12-8.78) and tertiary education (AOR: 0.03, 95%CI: 0.01-0.10) were significantly associated with occupational injuries.ConclusionThe prevalence of occupational injuries in this study was high. Promoting machine tools' safety, health and safety training, and satisfaction with health and safety measures through rewarding workers who do not sustain injuries could be key to employees' health and safety

    Using drones to transport suspected COVID-19 samples; experiences from the second largest testing centre in Ghana, West Africa.

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    BackgroundThe declaration of COVID-19 as a pandemic on March 11 2020, by the World Health Organisation prompted the need for a sustained and a rapid international response. In a swift response, the Government of Ghana, in partnership with Zipline company, launched the use of Unmanned Automated Vehicles (UAV) to transport suspected samples from selected districts to two foremost testing centres in the country. Here, we present the experiences of employing this technology and its impact on the transport time to the second largest testing centre, the Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR) in Kumasi, Ghana.MethodsSwab samples collected from suspected COVID-19 patients were transported to the Zipline office by health workers. Information on the samples were sent to laboratory personnel located at KCCR through a WhatsApp platform to get them ready to receive the suspected COVID-19 samples while Zipline repackaged samples and transported them via drone. Time of take-off was reported as well as time of drop-off.ResultsA total of 2537 COVID-19 suspected samples were received via drone transport from 10 districts between April 2020 to June 2021 in 440 deliveries. Ejura-Sekyedumase District Health Directorate delivered the highest number of samples (765; 30%). The farthest district to use the drone was Pru East, located 270 km away from KCCR in Kumasi and 173 km to the Zipline office in Mampong. Here, significantly, it took on the average 39 minutes for drones to deliver samples compared to 117 minutes spent in transporting samples by road (pConclusionThe use of drones for sample transport during the COVID-19 pandemic significantly reduced the travel time taken for samples to be transported by road to the testing site. This has enhanced innovative measures to fight the pandemic using technology
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