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1.
Frontiers in public health ; 11, 2023.
Article in English | EuropePMC | ID: covidwho-2301343

ABSTRACT

Since December 2019 when COVID-19 was detected, it took the world by surprise in terms of spread and morbidity/mortality. The high rate of spread and casualties recorded from COVID-19 called for research in all directions to find ways to contain and reverse the incidences. It is against this background that this paper sought to measure the association of the socio-demographic factors in the hard-hit districts in Greater Accra and Ashanti to analyze its relationship with the novel COVID-19 virus. Data on COVID-19 cases from 35 Districts in both Greater Accra and Ashanti Regions were collected from the Ghana Health Service and population data from Ghana Statistical Service. Descriptive statistics and regression analysis were generated using R. We found that some socio-demographic variables have an association with COVID-19 infections. For example, age and religion especially Christianity and Islam pose risk to COVID-19. The population aged 15–64 was particularly at high risk of infections due to the high level of movement of this age group. We, therefore, recommend that places of congregation such as Churches and Mosques be targeted for vigorous sensitization on COVID-19 protocols and prevention. Also, districts with a high population between the ages of 15–64 should step sensitization efforts to educate their inhabitants on the need to reduce travel and related activities to curb the spread of the virus.

2.
Ghana Med J ; 55(2 Suppl): 10-20, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1502648

ABSTRACT

OBJECTIVE: We describe the use of integrated geospatial applications for the provision of access to timely and accurate data on samples, visualisation of Spatio-temporal patterns of cases and effective communication between field sample collectors, testing laboratories, Regional Health directors and Government Decision Makers. DESIGN: This study describes how an integrated geospatial platform based on case location and intelligence was developed and used for effective COVID-19 response during the initial stages of COVID-19 in Ghana. DATA SOURCE: Collector for ArcGIS, ArcGIS Survey123. MAIN OUTCOME MEASURE: successful development and deployment of integrated geospatial applications and analytics. RESULTS: The Collector for ArcGIS app was customised to collect COVID-19 positive cases location information. Survey 123 was introduced as a COVID-19 contact tracing application to digitise the case-based forms and provide real-time results from the laboratories to GHS and other stakeholders. The laboratory backend allowed the testing laboratories access to specific information about each patient (sample) collected by the fieldworkers. The regional supervisors' backend web application provided accessing test results for confidentiality and timely communication of results. CONCLUSION: Geospatial platforms were successfully established in Ghana to provide timely results to Regional Health Directors and Government decision-makers. This helped to improve the timeliness of response and contact tracing at the district level. FUNDING: The development and deployment of the application, COVID-19 pandemic response and writing workshop by the Ghana Field Epidemiology and Laboratory Training Programme (GFELTP) was supported with funding from President Malaria Initiative - CDC, and Korea International Cooperation Agency (on CDC CoAg 6NU2GGH001876) through AFENET and the United States Agency for International Development (USAID) through Results for Development (R4D).


Subject(s)
COVID-19 , COVID-19/epidemiology , COVID-19/prevention & control , Ghana/epidemiology , Humans , Intelligence , Pandemics , SARS-CoV-2
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