Steve Cygu
Biographic Data
| ID | 7002375 |
|---|---|
| NAME | Steve Cygu |
| GIVEN NAMES | Steve |
| FAMILY NAME | Cygu |
| SIGNATURE | CYGU S |
| AFFILIATIONS | African Population and Health Research Center |
| ORCID | 0000-0002-9284-8863 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Food purchase patterns in Nairobi before, during, and after the Covid-19 pandemic lockdown measures
The nationwide lockdown measures implemented during the coronavirus disease 2019 (COVID-19) pandemic disrupted food supply systems, potentially altering consumer purchasing behaviour. There is limited evidence quantifying these changes in low- and middle-income settings. This study aimed to examine the impact of COVID-19 on grocery purchase patterns among consumers in Nairobi. Using generalized least squares (GLS), we conducted an interrupted tim…
Data science without borders
Background: Effective public health data science in Africa requires a comprehensive understanding of institutional capabilities across multiple dimensions. This study conducted a multidimensional assessment of three African health institutions to examine the availability of health data, healthcare training, data governance needs, and infrastructure capabilities, to inform the use of data science tools to address health challenges. Methods: The st…
A century of weekly notifiable disease incidence data by province in Canada
Canadian notifiable disease surveillance programmes have recorded communicable disease incidence data, dating back to the late 19th century. A Public Health Agency of Canada web-portal provides summaries of these data from 1924–2023, but lacks details on how incidence varies seasonally and geographically among provinces. The sub-annual (weekly, monthly, quarterly) and sub-national (provincial, territorial) data required to study such patterns app…
Factors associated with self-reported diagnosis of depression in Kenya
The proportion of participants who self-reported depression was low. Besides, there was a considerable variation in self-reported depression across different counties in Kenya. Furthermore, there was variability in depression among different socio-demographic groups. Therefore, there is a need to target mental health interventions to persons with chronic conditions and those in middle economic class as they are greatly affected with depression
Analyzing Demographic Grocery Purchase Patterns in Kenyan Supermarkets Through Unsupervised Learning Techniques
Kenya is experiencing a significant increase in the prevalence of non-communicable diseases (NCDs) such as cardiovascular diseases, hypertension, Type 2 diabetes, and certain cancers (bowel, lung, prostate, and uterine). This case is not unique to Kenya but is common in many Low and Middle-Income Countries (LMICs) in Africa. Many NCDs, are linked to diets high in added sugars, sodium, saturated fat, and low in fiber. There is a notable lack of in…
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Data science without borders
Background: Effective public health data science in Africa requires a comprehensive understanding of institutional capabilities across multiple dimensions. This study conducted a multidimensional assessment of three African health institutions to examine the availability of health data, healthcare training, data governance needs, and infrastructure capabilities, to inform the use of data science tools to address health challenges. Methods: The st…
A century of weekly notifiable disease incidence data by province in Canada
Canadian notifiable disease surveillance programmes have recorded communicable disease incidence data, dating back to the late 19th century. A Public Health Agency of Canada web-portal provides summaries of these data from 1924–2023, but lacks details on how incidence varies seasonally and geographically among provinces. The sub-annual (weekly, monthly, quarterly) and sub-national (provincial, territorial) data required to study such patterns app…
Factors associated with self-reported diagnosis of depression in Kenya
The proportion of participants who self-reported depression was low. Besides, there was a considerable variation in self-reported depression across different counties in Kenya. Furthermore, there was variability in depression among different socio-demographic groups. Therefore, there is a need to target mental health interventions to persons with chronic conditions and those in middle economic class as they are greatly affected with depression
Analyzing Demographic Grocery Purchase Patterns in Kenyan Supermarkets Through Unsupervised Learning Techniques
Kenya is experiencing a significant increase in the prevalence of non-communicable diseases (NCDs) such as cardiovascular diseases, hypertension, Type 2 diabetes, and certain cancers (bowel, lung, prostate, and uterine). This case is not unique to Kenya but is common in many Low and Middle-Income Countries (LMICs) in Africa. Many NCDs, are linked to diets high in added sugars, sodium, saturated fat, and low in fiber. There is a notable lack of in…
Food purchase patterns in Nairobi before, during, and after the Covid-19 pandemic lockdown measures
The nationwide lockdown measures implemented during the coronavirus disease 2019 (COVID-19) pandemic disrupted food supply systems, potentially altering consumer purchasing behaviour. There is limited evidence quantifying these changes in low- and middle-income settings. This study aimed to examine the impact of COVID-19 on grocery purchase patterns among consumers in Nairobi. Using generalized least squares (GLS), we conducted an interrupted tim…
Consumer Attitudes and Food Labeling (2 works) · Environmental health (2 works) · Medicine (2 works) · Public health (2 works) · Purchasing (2 works) · Artificial Intelligence in Healthcare and Education (1 works) · Association rule learning (1 works) · Biostatistics (1 works) · Business (1 works) · Capacity building (1 works)