scholarly journals Peer Review #1 of "Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases (v0.2)"

2017 ◽  
Author(s):  
B Cooper
Keyword(s):  
Data Collection ◽  
Peer Review ◽  
Close Contact ◽  
Communicable Diseases ◽  
Household Structure ◽  
Data Collection Tool ◽  
Indigenous Australian ◽  
Contact Transmission ◽  
Close Contact Transmission

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 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 Simulating social distancing measures in household and close contact transmission of SARS-CoV-2

2020 ◽  
Vol 36 (5) ◽  
Author(s):  
Carlos Garcia Filho
Keyword(s):  
Close Contact ◽  
Contact Rate ◽  
Rate Reduction ◽  
Agent Based ◽  
Social Distancing ◽  
Infected People ◽  
Contact Transmission ◽  
Close Contact Transmission ◽  
The Relationship ◽  
Close Contacts

We sought to evaluate contact rate reduction goals for household and close contacts and to provide preventive recommendations during the coronavirus pandemic. We applied an agent-based model to simulate the transmission dynamics of SARS-CoV-2 within household or close contacts through a social network of 150 nodes. there is no great difference in total infected people within modifications in number of links per node for networks with average number of links per node greater than three. For six nodes, total infected people are 149.85; for five nodes, 148.97; and for four nodes, 141.57. On the other hand, for three nodes, total infected are 82.39, for two nodes, 13.95; and for one node, 2.96. This model indicates a possible pitfall if social distancing measures are not stepwise suspended and close surveillance of cases are not provided, since the relationship between average links per node and number of infected people seems to be s-shaped, and not linear.

scholarly journals VAKSINASI MASAL COVID-19 DI PELABUHAN LEMBAR LOMBOK BARAT

2021 ◽  
Vol 5 (1) ◽  
pp. 404
Author(s):  
Desi Rofita ◽  
Evi Diliana Rospia ◽  
Dwi Kartika Cahyaningtyas ◽  
Catur Esty Pamungkas ◽  
Aulia Amini ◽  
...  
Keyword(s):  
World Health Organization ◽  
Close Contact ◽  
Herd Immunity ◽  
The Elderly ◽  
Health Problems ◽  
Mass Vaccination ◽  
World Health ◽  
Contact Transmission ◽  
Health Organization ◽  
Close Contact Transmission

ABSTRAKWHO (World  Health  Organization) secara  resmi  mendeklarasikan  virus  corona (Covid-19)  sebagai  pandemi. Virus Covid-19 menyebabkan gejala seperti demam dan batuk, dan kebanyakan bisa sembuh dalam beberapa minggu. Tapi bagi sebagian orang yang berisiko tinggi (kelompok lanjut  usia  dan  orang  dengan masalah  kesehatan  menahun, seperti  penyakit  jantung,  tekanan darah  tinggi,  atau diabetes), virus corona dapat menyebabkan masalah kesehatan yang serius. Ada dua  jalur  utama  penularan COVID-19, yakni penularan droplet pernapasan dan penularan kontak dekat. Dalam rangka penanggulangan pandemi COVID-19 tidak hanya dilaksanakan dari sisi penerapan protokol kesehatan, namun juga intervensi dengan vaksinasi sebagai bagian dari upaya pencegahan dan Pengendalian COVID-19. Kegiatan vaksinasi masal ini bertujuan agar dapat terbentuk herd immunity (kekebalan kelompok) dan berkurangnya angka kematian akibat COVID-19 pada masyarakat.Jenis vaksin yang digunakan pada kegiatan vaksinasi masal ini adalah Moderna. Jumlah responden yang mengikuti kegiatan ini sebanyak 1.581 orang. Hasil pengabdian didapatkan bahwa jumlah yang melakukan vaksinasi sebanyak 1.581 orang yang terdiri remaja sebanyak 60 orang dewasa sebanyak 1497 orang dan lansia sebanyak 24 orang, diberikan vaksin sebanyak 1.536 orang, ditunda sebanyak 45 orang. Kata kunci: vaksinasi; covid-19; komunitas. ABSTRACTWHO (World Health Organization) has officially declared the coronavirus (Covid-19) as a pandemic. The Covid-19 virus causes symptoms such as fever and cough, and most recover within a few weeks. But for some people who are at high risk (the elderly and people with chronic health problems, such as heart disease, high blood pressure, or diabetes), the coronavirus can cause serious health problems. There are two main routes of transmission of COVID-19, namely respiratory droplet transmission and close contact transmission. In the context of dealing with the COVID-19 pandemic, it is not only implemented in terms of implementing health protocols but also interventions with vaccinations as part of efforts to prevent and control COVID-19. This mass vaccination activity aims to form herd immunity and reduce the mortality rate due to COVID-19 in the community. The type of vaccine used in this mass vaccination activity is Moderna. The number of respondents who participated in this activity was 1,581 people. The results of the service found that the number of people who registered for Pcare was 1,581 people, consisting of 60 teenagers, 1497 adults, and 24 elderly people, 1,536 people were given the vaccine, 45 people were delayed. Keywords: vaccination; covid-19; community. 

Age-prevalence and household clustering ofStrongyloides stercoralisinfection in Jamaica

Parasitology ◽  
1995 ◽  
Vol 110 (1) ◽  
pp. 97-102 ◽  
Author(s):  
J. F. Lindo ◽  
R. D. Robinson ◽  
S. I. Terry ◽  
P. Vogel ◽  
A. A. Gam ◽  
...  
Keyword(s):  
Close Contact ◽  
Spatial Separation ◽  
Strongyloides Stercoralis ◽  
Stool Examination ◽  
Place Of Residence ◽  
General Study ◽  
Reference Case ◽  
Contact Transmission ◽  
Study Population ◽  
Close Contact Transmission

The epidemiology ofStrongyloides stercoraliswas studied in families of clinical (reference) cases and their neighbours at endemic foci in Jamaica. Thirteen foci were studied based on the place of residence of a reference case. For each household of a reference case, the 4 most proximal neighbourhood households (spatial controls) were included in the study. Out of 312 persons contacted 244 were followed up using questionnaires, stool examination and serology. Prevalence of infection based on stool examination was 3·5% and on ELISA 24·2%. Prevalence increased with age but was not related to gender. Reference cases were significantly older than the general study population. The prevalence of infection based on both serology and stool examination was significantly higher in reference than in neighbouring households (the reference cases, themselves, were not included in the analysis). Furthermore, prevalence of infection was highest among persons who shared a bedroom with a reference case and decreased significantly with increasing spatial separation. This is indicative of close contact transmission which has not been previously shown for a geohelminth, but which is common among microparasites.

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