scholarly journals Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases

2017 ◽  
Author(s):  
Thiripura Vino ◽  
Gurmeet R Singh ◽  
Belinda Davison ◽  
Patricia T Campbell ◽  
Michael Lydeamore ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Close Contact ◽  
Age Groups ◽  
Social Contact ◽  
Communicable Diseases ◽  
Household Structure ◽  
Indigenous Populations ◽  
Indigenous Australian ◽  
Different Populations ◽  
The Impact

Households are an important location for the transmission of communicable diseases. Social contact between household members is typically more frequent, of greater intensity, and is more likely to involve people of different age groups than contact occurring in the general community. Understanding household structure in different populations is therefore fundamental to explaining patterns of disease transmission in these populations. Indigenous populations in Australia tend to live in larger households than non Indigenous populations, but limited data is available on the structure of these households, and how they differ between remote and urban communities. We have developed a novel approach to the collection of household structure data, suitable for use in a variety of contexts, which provides a detailed view of age,gender, and room occupancy patterns in remote and urban Australian Indigenous households. Here we report analysis of data collected using this tool, which quantifies the extent of crowding in Indigenous households, particularly in remote areas. We use this data to generate matrices of age-specific contact rates, as used by mathematical models of infectious disease transmission. To demonstrate the impact of household structure, we use a mathematical model to simulate an influenza-like illness in different populations. Our simulations suggest that outbreaks in remote populations are likely to spread more rapidly and to a greater extent than outbreaks in non-Indigenous populations.

scholarly journals Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3958 ◽  
Author(s):  
Thiripura Vino ◽  
Gurmeet R. Singh ◽  
Belinda Davison ◽  
Patricia T. Campbell ◽  
Michael J. Lydeamore ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Close Contact ◽  
Age Groups ◽  
Social Contact ◽  
Communicable Diseases ◽  
Household Structure ◽  
Indigenous Populations ◽  
Indigenous Australian ◽  
Different Populations ◽  
The Impact

Households are an important location for the transmission of communicable diseases. Social contact between household members is typically more frequent, of greater intensity, and is more likely to involve people of different age groups than contact occurring in the general community. Understanding household structure in different populations is therefore fundamental to explaining patterns of disease transmission in these populations. Indigenous populations in Australia tend to live in larger households than non-Indigenous populations, but limited data are available on the structure of these households, and how they differ between remote and urban communities. We have developed a novel approach to the collection of household structure data, suitable for use in a variety of contexts, which provides a detailed view of age, gender, and room occupancy patterns in remote and urban Australian Indigenous households. Here we report analysis of data collected using this tool, which quantifies the extent of crowding in Indigenous households, particularly in remote areas. We use these data to generate matrices of age-specific contact rates, as used by mathematical models of infectious disease transmission. To demonstrate the impact of household structure, we use a mathematical model to simulate an influenza-like illness in different populations. Our simulations suggest that outbreaks in remote populations are likely to spread more rapidly and to a greater extent than outbreaks in non-Indigenous populations.

scholarly journals Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases

2017 ◽  
Author(s):  
Thiripura Vino ◽  
Gurmeet R Singh ◽  
Belinda Davison ◽  
Patricia T Campbell ◽  
Michael Lydeamore ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Close Contact ◽  
Age Groups ◽  
Social Contact ◽  
Communicable Diseases ◽  
Household Structure ◽  
Indigenous Populations ◽  
Indigenous Australian ◽  
Different Populations ◽  
The Impact

Households are an important location for the transmission of communicable diseases. Social contact between household members is typically more frequent, of greater intensity, and is more likely to involve people of different age groups than contact occurring in the general community. Understanding household structure in different populations is therefore fundamental to explaining patterns of disease transmission in these populations. Indigenous populations in Australia tend to live in larger households than non Indigenous populations, but limited data is available on the structure of these households, and how they differ between remote and urban communities. We have developed a novel approach to the collection of household structure data, suitable for use in a variety of contexts, which provides a detailed view of age,gender, and room occupancy patterns in remote and urban Australian Indigenous households. Here we report analysis of data collected using this tool, which quantifies the extent of crowding in Indigenous households, particularly in remote areas. We use this data to generate matrices of age-specific contact rates, as used by mathematical models of infectious disease transmission. To demonstrate the impact of household structure, we use a mathematical model to simulate an influenza-like illness in different populations. Our simulations suggest that outbreaks in remote populations are likely to spread more rapidly and to a greater extent than outbreaks in non-Indigenous populations.

scholarly journals Characteristics of human encounters and social mixing patterns relevant to infectious diseases spread by close contact: A survey in southwest Uganda

2017 ◽  
Author(s):  
O le Polain de Waroux ◽  
S Cohuet ◽  
D Ndazima ◽  
A J Kucharski ◽  
A Juan-Giner ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Close Contact ◽  
Control Strategies ◽  
Social Contact ◽  
The Elderly ◽  
Human Interactions ◽  
Contact Patterns ◽  
Social Mixing ◽  
Contact Survey ◽  
The Impact

ABSTRACTQuantification of human interactions relevant to infectious disease transmission through social contact is central to predict disease dynamics, yet data from low-resource settings remain scarce. We undertook a social contact survey in rural Uganda, whereby participants were asked to recall details about the frequency, type, and socio-demographic characteristics of any conversational encounter that lasted for ≥5 minutes (henceforth defined as ‘contacts’) during the previous day. An estimate of the number of ‘casual contacts’ (i.e. <5 minutes) was also obtained. A total of 568 individuals were included. On average participants reported having routine contact with 7.2 individuals (range 1-25). Children aged 5-14 years had the highest frequency of contacts and the elderly (≥65 years) the fewest (P<0.001). A strong age-assortative pattern was seen, particularly outside the household and increasingly so for contacts occurring further away from home. Adults aged 25-64 years tended to travel more and further than others, and males travelled more frequently than females. Our study provides detailed information on contact patterns and their spatial characteristics in an African setting. It therefore fills an important knowledge gap that will help more accurately predict transmission dynamics and the impact of control strategies in such areas.

scholarly journals The differential impact of physical distancing strategies on social contacts relevant for the spread of COVID-19: Evidence from a multi-country survey

2020 ◽  
Author(s):  
Emanuele Del Fava ◽  
Jorge Cimentada ◽  
Daniela Perrotta ◽  
André Grow ◽  
Francesco Rampazzo ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Age Groups ◽  
Social Contact ◽  
The United States ◽  
Social Contacts ◽  
Contact Patterns ◽  
The Uk ◽  
Facebook Advertising ◽  
Net Reproduction ◽  
The Impact

AbstractPhysical distancing measures are intended to mitigate the spread of COVID-19, even though their impact on social contacts and disease transmission remains unclear. Obtaining timely data on social contact patterns can help to assess the impact of such protective measures. We conducted an online opt-in survey based on targeted Facebook advertising campaigns across seven European countries (Belgium, France, Germany, Italy, Netherlands, Spain, United Kingdom (UK)) and the United States (US), achieving a sample of 53,708 questionnaires in the period March 13–April 13, 2020. Post-stratification weights were produced to correct for biases. Data on social contact numbers, as well as on protective behaviour and perceived level of threat were collected and used to the expected net reproduction number by week, Rt, with respect to pre-pandemic data. Compared to social contacts reported prior to COVID-19, in mid-April daily social contact numbers had decreased between 49% in Germany and 83% in Italy, ranging from below three contacts per day in France, Spain, and the UK up to four in Germany and the Netherlands. Such reductions were sufficient to bring Rt to one or even below in all countries, except Germany. Evidence from the US and the UK showed that the number of daily social contacts mainly decreased after governments issued the first physical distancing guidelines. Finally, although contact numbers decreased uniformly across age groups, older adults reported the lowest numbers of contacts, indicating higher levels of protection. We provided a comparable set of statistics on social contact patterns during the COVID-19 pandemic for eight high-income countries, disaggregated by week. As these estimates offer a more grounded alternative to the theoretical assumptions often used in epidemiological models, the scientific community could draw on this information for developing more realistic epidemic models of COVID-19.

COVID-19 and cancer: Strategic health promotion for indigenous Australians during a pandemic.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e24028-e24028
Author(s):  
Carolyn Der Vartanian ◽  
Vivienne Milch ◽  
Gail Garvey ◽  
Cleola Anderiesz ◽  
Jane Salisbury ◽  
...  
Keyword(s):  
Health Promotion ◽  
Information Needs ◽  
Indigenous Populations ◽  
Indigenous Australians ◽  
Culturally Appropriate ◽  
Access To Health Services ◽  
Positive Health ◽  
Indigenous Australian ◽  
Australian Community ◽  
The Impact

e24028 Background: Given the impact of COVID-19 on Indigenous and ethnic minority populations observed globally, keeping COVID-19 out of vulnerable Aboriginal and Torres Strait Islander (Indigenous Australian) communities remains a priority. Compared to non-Indigenous Australians, Indigenous Australians experience disparities in cancer incidence and outcomes due to social disadvantage, increased cancer-related modifiable risk factors, poorer access to health services and lower participation in screening. During the pandemic, cancer-related investigations and treatment reduced significantly in Australia, leading to potential decreases in cancer diagnoses and consequences for future survival outcomes. Concerned about the risk of morbidity and mortality due to COVID-19 for Indigenous Australians, as well as worsening cancer outcomes, Cancer Australia undertook strategic health promotion initiatives, to inform and support optimal cancer care. Methods: In consultation with respected Indigenous colleagues to ensure cultural appropriateness of language and information, we published a dedicated webpage titled ‘ Cancer and COVID-19 – what it means for our Mob*’ with tailored information, advice, and links to key resources and support services for Indigenous Australians. We also released a video titled ‘ Act early for our Mob’s Health’, providing targeted, culturally appropriate, consumer-friendly information to encourage Indigenous Australians to see their doctor or Aboriginal Health Worker with symptoms that may be due to cancer. Results: The information hub has been well-received among the Indigenous Australian community, receiving over 3,200 visits, and the social media campaigns have received over 1.4 million impressions and 46,000 video views between mid-March 2020 to mid-February 2021. This campaign has supported proactivity among the Indigenous population in keeping their communities safe during the pandemic, maintaining a population rate of COVID-19 of less than one percent of all confirmed cases in Australia. Conclusions: Culturally appropriate information and resources developed through the process of co-design can help to influence positive health behaviour change in Indigenous populations. We predict that our strategic, multi-channel health promotion campaign is contributing to keeping the Indigenous Australian community safe and informed during the pandemic, with additional work needed to monitor cancer rates and outcomes and address the ongoing information needs of the community. *Mob is a colloquial term to identify a group of Indigenous Australians associated with a family or community from a certain place.

scholarly journals Vaccinating Adolescents and Children Significantly Reduces COVID-19 Morbidity and Mortality across All Ages: A Popula-Tion-Based Modeling Study Using the UK as an Example

Vaccines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1180
Author(s):  
Tinevimbo Shiri ◽  
Marc Evans ◽  
Carla A. Talarico ◽  
Angharad R. Morgan ◽  
Maaz Mussad ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Age Groups ◽  
Population Level ◽  
Vital Role ◽  
Morbidity And Mortality ◽  
Transmission Model ◽  
Base Case ◽  
Global Public Health ◽  
The Uk ◽  
The Impact

Debate persists around the risk–benefit balance of vaccinating adolescents and children against COVID-19. Central to this debate is quantifying the contribution of adolescents and children to the transmission of SARS-CoV-2, and the potential impact of vaccinating these age groups. In this study, we present a novel SEIR mathematical disease transmission model that quantifies the impact of different vaccination strategies on population-level SARS-CoV-2 infections and clinical outcomes. The model employs both age- and time-dependent social mixing patterns to capture the impact of changes in restrictions. The model was used to assess the impact of vaccinating adolescents and children on the natural history of the COVID-19 pandemic across all age groups, using the UK as an example. The base case model demonstrates significant increases in COVID-19 disease burden in the UK following a relaxation of restrictions, if vaccines are limited to those ≥18 years and vulnerable adolescents (≥12 years). Including adolescents and children in the vaccination program could reduce overall COVID-related mortality by 57%, and reduce cases of long COVID by 75%. This study demonstrates that vaccinating adolescents and children has the potential to play a vital role in reducing SARS-CoV-2 infections, and subsequent COVID-19 morbidity and mortality, across all ages. Our results have major global public health implications and provide valuable information to inform a potential pandemic exit strategy.

scholarly journals The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic

2021 ◽  
Author(s):  
James Wambua ◽  
Lisa Hermans ◽  
Pietro Coletti ◽  
Frederik Verelst ◽  
Lander Willem ◽  
...  
Keyword(s):  
Public Health ◽  
Health Communication ◽  
Risk Perceptions ◽  
Close Contact ◽  
Social Contact ◽  
Perceived Severity ◽  
Public Health Communication ◽  
Contact Behaviour ◽  
Contact Frequency ◽  
The Impact

Abstract Human behaviour is known to be crucial in the propagation of infectious diseases through respiratory or close-contact routes like the current SARS-CoV-2 virus. Intervention measures implemented to curb the spread of the virus mainly aim at limiting the number of close contacts, until vaccine roll-out is complete. Our main objective was to assess the relationships between SARS-CoV-2 perceptions and social contact behaviour in Belgium. Understanding these relationships is crucial to maximize interventions' effectiveness, e.g. by tailoring public health communication campaigns. In this study, we surveyed a representative sample of adults in Belgium in two longitudinal surveys (8 waves of survey 1 in April 2020 to August 2020, and 11 waves of survey 2 in November 2020 to April 2021). Generalized linear mixed effects models were used to analyse the two surveys. Participants with low and neutral perceptions on perceived severity made a significantly higher number of social contacts as compared to participants with high levels of perceived severity after controlling for other variables. Furthermore, participants with higher levels of perceived effectiveness of measures and perceived adherence to measures made fewer contacts. However, the differences were small. Our results highlight the key role of perceived severity on social contact behaviour during a pandemic. Nevertheless, additional research is required to investigate the impact of public health communication on severity of COVID-19 in terms of changes in social contact behaviour.

Sign in / Sign up

Export Citation Format

Share Document