This Project Tycho dataset includes a CSV file with COVID-19 data reported in GHANA: 2020-01-03 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Ghana recorded 171653 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Ghana reported 1456 Coronavirus Deaths. This dataset includes a chart with historical data for Ghana Coronavirus Cases.

Ghana Central Government: Revenue and Grants: Revenue: Tax: GS: Covid-19 Health Levy data was reported at 203,992.709 GHS th in Jun 2024. This records an increase from the previous number of 89,181.881 GHS th for May 2024. Ghana Central Government: Revenue and Grants: Revenue: Tax: GS: Covid-19 Health Levy data is updated monthly, averaging 141,131.709 GHS th from Jan 2021 (Median) to Jun 2024, with 42 observations. The data reached an all-time high of 296,817.384 GHS th in Mar 2022 and a record low of 0.000 GHS th in Apr 2021. Ghana Central Government: Revenue and Grants: Revenue: Tax: GS: Covid-19 Health Levy data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Ghana – Table GH.F001: Central Government Operations.

Between May 2020 and January 2021, during the post coronavirus (COVID-19) lockdown period in Ghana, around **** thousand firms reported decreases in sales, while **** thousand of them registered increases. Compared to the periods before and during the lockdown, post-lockdown sale increases were higher. On the other hand, agribusiness sales decreased the most during the lockdown period, while they decreased minimally before the lockdown. Overall, according to the same survey, over ** thousand agribusiness workers were laid off after the lockdown.

Predictors of stigma and discriminatory tendencies towards COVID-19 survivors.

COVID-19 related knowledge among respondents.

During the coronavirus (COVID-19) pandemic, between ******** and ************, agribusinesses in the North East and Central regions of Ghana recorded the highest increases in sales, registered by ** percent and **** percent of the firms, respectively. On the other hand, the agribusinesses in Savannah and Northern regions achieved the lowest increases, at zero and *** percent, respectively. Overall, over the said period, around **** thousand agribusinesses in Ghana reported increases in sales.

BackgroundMalaria is a common and severe public health problem in Ghana and largely responsible for febrile symptoms presented at health facilities in the country. Other infectious diseases, including COVID-19, may mimic malaria due to their shared non-specific symptoms such as fever and headache thus leading to misdiagnosis. This study therefore investigated COVID-19 among patients presenting with malaria-like symptoms at Korle-Bu Polyclinic, Accra, Ghana.MethodsThis study enrolled 300 patients presenting with malaria-like symptoms aged ≥18yrs. After consent was obtained from study patients, two to three millilitres of whole blood, nasopharyngeal and oropharyngeal swab samples, were collected for screening of Plasmodium falciparum using malaria rapid diagnostic test, microscopy and nested PCR, and SARS-CoV-2 using SARS-CoV-2 antigen test and Real-time PCR, respectively. The plasma and whole blood were also used for COVID-19 antibody testing and full blood counts using hematological analyser. SARS-CoV-2 whole genome sequencing was performed using MinIon sequencing.ResultsThe prevalence of malaria by microscopy, RDT and nested PCR were 2.3%, 2.3% and 2.7% respectively. The detection of SARS-CoV-2 by COVID-19 Rapid Antigen Test and Real-time PCR were 8.7% and 20% respectively. The Delta variant was reported in 23 of 25 SARS-CoV-2 positives with CT values below 30. Headache was the most common symptom presented by study participants (95%). Comorbidities reported were hypertension, asthma and diabetes. One hundred and thirteen (37.8%) of the study participants had prior exposure to SARS CoV-2 and (34/51) 66.7% of Astrazeneca vaccinated patients had no IgG antibody.ConclusionIt may be difficult to use clinical characteristics to distinguish between patients with COVID-19 having malaria-like symptoms. Detection of IgM using RDTs may be useful in predicting CT values for SARS-CoV-2 real-time PCR and therefore transmission.

As societies urbanize, their populations have become increasingly dependent on the private sector for essential services. The way the private sector responds to health emergencies such as the COVID-19 pandemic can determine the health and economic wellbeing of urban populations, an effect amplified for poorer communities. Here we present a qualitative document analysis of media reports and policy documents in four low resource settings-Bangladesh, Ghana, Nepal, Nigeria-between January and September 2020. The review focuses on two questions: (i) Who are the private sector actors who have engaged in the COVID-19 first wave response and what was their role?; and (ii) How have national and sub-national governments engaged in, and with, the private sector response and what have been the effects of these engagements? Three main roles of the private sector were identified in the review. (1) Providing resources to support the public health response. (2) Mitigating the financial impact of the pandemic on individuals and businesses. (3) Adjustment of services delivered by the private sector, within and beyond the health sector, to respond to pandemic-related business challenges and opportunities. The findings suggest that a combination of public-private partnerships, contracting, and regulation have been used by governments to influence private sector involvement. Government strategies to engage the private sector developed quickly, reflecting the importance of private services to populations. However, implementation of regulatory responses, especially in the health sector, has often been weak reflecting the difficulty governments have in ensuring affordable, quality private services. Lessons for future pandemics and other health emergencies include the need to ensure that essential non-pandemic health services in the government and non-government sector can continue despite elevated risks, surge capacity to minimize shortages of vital public health supplies is available, and plans are in place to ensure private workplaces remain safe and livelihoods protected.

As of July 26, 2022, no new confirmed cases of coronavirus (COVID-19) were registered in Ghana. As of the same date, 167,215 cases of the virus were confirmed in the country.

Development of the pandemic

On March 14, 2020, the first

COVID-19 related attitudes of respondents.

In 2020, most financial institutions (** percent) in Ghana revealed that they would be able to return to business as usual in the two years following or beyond. This was reported in a survey conducted during the coronavirus (COVID-19) post crisis phase after **********, which assessed the impact of the pandemic on banks in Ghana. Close to this share (** percent) were those banks that stated that they would return to normal business in a year. Furthermore, ** percent of the surveyed entities offering financial services said that they would bounce back to business immediately. Overall, the source finds that the COVID-19 outbreak significantly affected bank credit operations.

Following the development of a vaccine for COVID-19, the expectation was instantaneous widespread distribution and uptake to halt further spread, severe illness and deaths from the virus. However, studies show very low uptake, especially in resource-poor settings, and little is documented about the drivers of vaccine uptake in populations classified as high-risk. In this study, we explored access and uptake of COVID-19 vaccines among people living with non-communicable diseases (PLWNCDs) in Ghana. A qualitative study using in-depth interviews and focus group discussions was conducted among adults (>18 years) PLWNCDs stratified by sex, age, and type of non-communicable diseases (NCDs) at the community level (non-users of the health service) and health facility levels. Purposive sampling was used to select eligible participants. Topic guides were used to facilitate the face-to-face in-depth interviews and focus group discussions. The interviews and discussions were all digitally audio recorded. All transcripts and field notes were thematically analysed. Overall, 62 participants were recruited for this study. Family members, friends/peers, health workers and media were identified as the main sources of information for COVID-19 vaccines. Several barriers that mediated access to the COVID-19 vaccines in Ghana were reported including mistrust of vaccine efficacy and fears of vaccine side-effects, long distance to and waiting hours at vaccination centres, shortages of vaccines at vaccination centres and non-prioritization of NCD patients for the vaccine. To improve uptake, intensified education and sensitization, house-to-house vaccination, expansion of vaccination centers and increased supply of vaccines were recommended by participants. Compared to studies elsewhere, misinformation and disinformation were not major causes of vaccine hesitancy. If policymakers can improve community-based vaccine delivery, reduce queues and waiting times, prioritize PLWNCDs and other vulnerable groups, and improve sensitization and communication–our findings suggest there will be major improvements in COVID-19 vaccine coverage in Ghana.

Health workers in Ghana, have reported fear, stress, and low perceived preparedness to respond to COVID-19 and those who had not received training related COVID-19 were at the highest risk. Accordingly, PNEP COVID-19 Response program designed, implemented, and evaluated a set of four continuing professional development courses delivered through a two-prong approach: e-learning and in-person.

Ghana Net Official Flows from UN Agencies: UNCOVID data was reported at -0.007 USD mn in 2022. This records a decrease from the previous number of -0.001 USD mn for 2021. Ghana Net Official Flows from UN Agencies: UNCOVID data is updated yearly, averaging -0.004 USD mn from Dec 2021 (Median) to 2022, with 2 observations. The data reached an all-time high of -0.001 USD mn in 2021 and a record low of -0.007 USD mn in 2022. Ghana Net Official Flows from UN Agencies: UNCOVID data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ghana – Table GH.World Bank.WDI: Defense and Official Development Assistance. Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO), United Nations Institute for Disarmament Research (UNIDIR), United Nations Capital Development Fund (UNCDF), WHO-Strategic Preparedness and Response Plan (SPRP), United Nations Women (UNWOMEN), Covid-19 Response and Recovery Multi-Partner Trust Fund (UNCOVID), Joint Sustainable Development Goals Fund (SDGFUND), Central Emergency Response Fund (CERF), WTO-International Trade Centre (WTO-ITC), United National Conference on Trade and Development (UNCTAD), and United Nations Industrial Development Organization (UNIDO). Data are in current U.S. dollars.;Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://data-explorer.oecd.org/.;Sum;

Descriptive characteristics of individuals who reported AEFIs following COVID-19 vaccination in Ghana.

The Wave I Ghana Financial Incentive trial confirmed that financial incentives have a positive effect on COVID-19 vaccine intentions, reported vaccination status and verified vaccination status. Wave II provides an opportunity to understand whether this financial incentive effect generalizes to other types of health behavior: Does a similar financial incentive design with tuberculosis screening produce similar positive results? The Wave I trial was designed to identify any spillover effects across treatment arms or on untreated individuals within treated communities. We found no evidence of negative spillover effects of cash incentives on individuals who received no cash compensations. An unanswered question is whether the financial incentives affect within-subject behavior. Wave II examines the willingness of those who received financial incentives in the initial TB screening treatment to adopt similar preventative health behaviors six months later. Wave II is also designed to evaluate the relative impact of financial incentives compared to simple informational reminders.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Localities with less than 100 inhabitants were excluded from the sample. The excluded areas represent approximately 4 percent of the total population

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Ghana is 1000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Digital shopping in Africa increased since the coronavirus (COVID-19) outbreak. According to an online survey conducted in 2020 and 2021, ** percent of consumers in Nigeria are shopping more online since the beginning of the pandemic. The health crisis led to increasing demand for e-commerce in Africa. Kenya and Ghana registered an increment of ** percent in online purchases. In South Africa, online shopping grew by ** percent. There, over half of consumers reported that they were buying more groceries and clothing items online.