scholarly journals Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis

10.2196/27317 ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e27317 ◽  
Author(s):  
Amanda MY Chu ◽  
Jacky NL Chan ◽  
Jenny TY Tsang ◽  
Agnes Tiwari ◽  
Mike KP So
Keyword(s):  
Public Health ◽  
Time Series ◽  
Large Scale ◽  
Early Recognition ◽  
Communicable Disease ◽  
Control Measure ◽  
Communicable Diseases ◽  
Civil Aviation ◽  
Temporal Database ◽  
Health Events

Communicable diseases including COVID-19 pose a major threat to public health worldwide. To curb the spread of communicable diseases effectively, timely surveillance and prediction of the risk of pandemics are essential. The aim of this study is to analyze free and publicly available data to construct useful travel data records for network statistics other than common descriptive statistics. This study describes analytical findings of time-series plots and spatial-temporal maps to illustrate or visualize pandemic connectedness. We analyzed data retrieved from the web-based Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, which contains up-to-date and comprehensive meta-information on civil flights from 193 national governments in accordance with the airport, country, city, latitude, and the longitude of flight origin and the destination. We used the database to visualize pandemic connectedness through the workflow of travel data collection, network construction, data aggregation, travel statistics calculation, and visualization with time-series plots and spatial-temporal maps. We observed similar patterns in the time-series plots of worldwide daily flights from January to early-March of 2019 and 2020. A sharp reduction in the number of daily flights recorded in mid-March 2020 was likely related to large-scale air travel restrictions owing to the COVID-19 pandemic. The levels of connectedness between places are strong indicators of the risk of a pandemic. Since the initial reports of COVID-19 cases worldwide, a high network density and reciprocity in early-March 2020 served as early signals of the COVID-19 pandemic and were associated with the rapid increase in COVID-19 cases in mid-March 2020. The spatial-temporal map of connectedness in Europe on March 13, 2020, shows the highest level of connectedness among European countries, which reflected severe outbreaks of COVID-19 in late March and early April of 2020. As a quality control measure, we used the aggregated numbers of international flights from April to October 2020 to compare the number of international flights officially reported by the International Civil Aviation Organization with the data collected from the Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, and we observed high consistency between the 2 data sets. The flexible design of the database provides users access to network connectedness at different periods, places, and spatial levels through various network statistics calculation methods in accordance with their needs. The analysis can facilitate early recognition of the risk of a current communicable disease pandemic and newly emerging communicable diseases in the future.

scholarly journals Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis (Preprint)

2021 ◽  
Author(s):  
Amanda MY Chu ◽  
Jacky NL Chan ◽  
Jenny TY Tsang ◽  
Agnes Tiwari ◽  
Mike KP So
Keyword(s):  
Public Health ◽  
Time Series ◽  
Large Scale ◽  
Early Recognition ◽  
Communicable Disease ◽  
Control Measure ◽  
Communicable Diseases ◽  
Civil Aviation ◽  
Temporal Database ◽  
Health Events

UNSTRUCTURED Communicable diseases including COVID-19 pose a major threat to public health worldwide. To curb the spread of communicable diseases effectively, timely surveillance and prediction of the risk of pandemics are essential. The aim of this study is to analyze free and publicly available data to construct useful travel data records for network statistics other than common descriptive statistics. This study describes analytical findings of time-series plots and spatial-temporal maps to illustrate or visualize pandemic connectedness. We analyzed data retrieved from the web-based Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, which contains up-to-date and comprehensive meta-information on civil flights from 193 national governments in accordance with the airport, country, city, latitude, and the longitude of flight origin and the destination. We used the database to visualize pandemic connectedness through the workflow of travel data collection, network construction, data aggregation, travel statistics calculation, and visualization with time-series plots and spatial-temporal maps. We observed similar patterns in the time-series plots of worldwide daily flights from January to early-March of 2019 and 2020. A sharp reduction in the number of daily flights recorded in mid-March 2020 was likely related to large-scale air travel restrictions owing to the COVID-19 pandemic. The levels of connectedness between places are strong indicators of the risk of a pandemic. Since the initial reports of COVID-19 cases worldwide, a high network density and reciprocity in early-March 2020 served as early signals of the COVID-19 pandemic and were associated with the rapid increase in COVID-19 cases in mid-March 2020. The spatial-temporal map of connectedness in Europe on March 13, 2020, shows the highest level of connectedness among European countries, which reflected severe outbreaks of COVID-19 in late March and early April of 2020. As a quality control measure, we used the aggregated numbers of international flights from April to October 2020 to compare the number of international flights officially reported by the International Civil Aviation Organization with the data collected from the Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, and we observed high consistency between the 2 data sets. The flexible design of the database provides users access to network connectedness at different periods, places, and spatial levels through various network statistics calculation methods in accordance with their needs. The analysis can facilitate early recognition of the risk of a current communicable disease pandemic and newly emerging communicable diseases in the future.

scholarly journals The Empowerment of Integrated Development Post of Non-Communicable Diseases in Efforts to Prevent and Control Non- Communicable Diseases

2016 ◽  
Vol 5 (3) ◽  
pp. 294
Author(s):  
Yandrizal Yandrizal ◽  
Rizanda Machmud ◽  
Melinda Noer ◽  
Hardisman Hardisman ◽  
Afrizal Afrizal ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Early Detection ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
Combination Method ◽  
Integrated Development ◽  
Non Communicable Diseases ◽  
And Control ◽  
Non Communicable Disease

Non-Communicable disease has already been the main cause of death in many countries, as many as 57 million death in the world in 2008, 36 million (63 percent) is because of un-infectious disease, specifically heart illness, diabetes, cancer, and chronic respiratory diseases. Prevention and controlling efforts of un-infectious diseases developing in Indonesia is non-communicable disease integrated development post (Pospindu PTM). This research used combination method approach with exploratory design. Exploratory design with sequential procedure used combination consecutively, the first is qualitative and the second is quantitative method. Public Health Center formed Posbindu PTM has not disseminate yet to all stakeholders. Posbindu PTM members felt benefit by following this activity. Some of them did not know follow the activity because of unknown about it. There was  connection between coming behavior to Posbindu PTM to preventing behavior of non-communicable disease.Percentage for high blood pressure risk indicated 20-25 percent from all visitors. Formulation of its policy implementation started with stakeholder analysis; head of sub district, head of urban village, head of health department in regency/city, head of public health service, head of neighborhood Association, and the head of family welfare development.  Analysis of perception, power and authority found that every stakeholder had authority to manage the member directly or indirectly. It was not implemented because of the lack knowledge of stakeholders about the Posbindu PTM function.They would play a role after knowing the aim and advantage of the post by motivate the people to do early detection, prevention and control the non-communicable disease. The members were given wide knowledge about  early detection, preventing  and control the un-infectious disease, measuring and checking up their healthy continuously so that keep feeling the advantage of coming to the post.

The Geographical Matrix

2009 ◽  
Author(s):  
A. D. Cliff ◽  
M.R. Smallman-Raynor ◽  
P. Haggett ◽  
D.F. Stroup ◽  
S.B. Thacker
Keyword(s):  
Public Health ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
League Of Nations ◽  
Morbidity And Mortality ◽  
Significant Public Health ◽  
Degree Of Certainty ◽  
The Times ◽  
Health Organization

A historical–geographical exploration of disease emergence is confronted by a series of fundamental questions: Which diseases have emerged? When? And where? For some high-profile diseases, such as Legionnaires’ disease, Ebola viral disease, and severe acute respiratory syndrome (SARS), the first recognized outbreaks are well documented in the scientific literature and the space–time coordinates of these early events can be fixed with a high degree of certainty. But, for some other diseases—especially those that, over the decades, have periodically resurfaced as significant public health problems—the times and places of their rise to prominence can be harder to specify. Accordingly, in this chapter we undertake a content analysis of three major epidemiological sources to identify patterns in the recognition and recording of communicable diseases of public health significance in the twentieth and early twenty-first centuries. Our analysis begins, in Section 3.2, with an examination of global and world regional patterns of communicable disease surveillance as documented in the annual statistical reports of the League of Nations/World Health Organization, 1923–83. In Section 3.3, we turn to the US Centers for Disease Control and Prevention’s (CDC’s) landmark publication Morbidity and Mortality Weekly Report (MMWR) to identify ‘headline trends’ in the national and international coverage of communicable diseases, 1952–2005. Finally, in Section 3.4, the inventory of epidemic assistance investigations (Epi-Aids) undertaken by CDC’s Epidemic Intelligence Service (EIS), 1946– 2005, provides a unique series of insights from the front line of epidemic investigative research. Informed by the evidence presented in these sections, Section 3.5 concludes by specifying the regional–thematic matrix of diseases for analysis in Chapters 4–9. The systematic international recording of information about morbidity and mortality from disease begins with the Health Organization of the League of Nations, established in the aftermath of the Great War. The first meeting of the Health Committee of the Health Section of the League took place in August 1921 to consider ‘the question of organising means of more rapid interchange of epidemiological information’ (Health Section of the League of Nations 1922: 3).

scholarly journals Notifiable diseases after implementation of COVID-19 public health prevention measures in Central Queensland, Australia

2021 ◽  
Vol 45 ◽  
Author(s):  
Odewumi Adegbija ◽  
Jacina Walker ◽  
Nicholas Smoll ◽  
Arifuzzaman Khan ◽  
Julieanne Graham ◽  
...  
Keyword(s):  
Public Health ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
Prevention Measures ◽  
Vector Borne Diseases ◽  
Vaccine Preventable Diseases ◽  
Notifiable Diseases ◽  
Health Measures ◽  
Travel Restrictions

The implementation of public health measures to control the current COVID-19 pandemic (such as wider lockdowns, overseas travel restrictions and physical distancing) is likely to have affected the spread of other notifiable diseases. This is a descriptive report of communicable disease surveillance in Central Queensland (CQ) for six months (1 April to 30 September 2020) after the introduction of physical distancing and wider lockdown measures in Queensland. The counts of notifiable communicable diseases in CQ in the six months were observed and compared with the average for the same months during the years 2015 to 2019. During the study’s six months, there were notable decreases in notifications of most vaccine-preventable diseases such as influenza, pertussis and rotavirus. Conversely, notifications increased for disease groups such as blood-borne viruses, sexually transmitted infections and vector-borne diseases. There were no reported notifications for dengue fever and malaria which are mostly overseas acquired. The notifications of some communicable diseases in CQ were variably affected and the changes correlated with the implementation of the COVID-19 public health measures.

scholarly journals Communicable disease surveillance, prevention and control in Slovenia

2004 ◽  
Vol 8 (25) ◽  
Author(s):  
I Klavs ◽  
A Hocevar-Grom ◽  
M Socan ◽  
M Grgic-Vitek ◽  
L Pahor ◽  
...  
Keyword(s):  
Public Health ◽  
Disease Surveillance ◽  
Prevention And Control ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
The Republic ◽  
And Control

National communicable disease surveillance, prevention and control in Slovenia is coordinated by the Communicable Diseases Centre of the Institute of Public Health of the Republic of Slovenia

scholarly journals Communicable disease surveillance, prevention and control in Latvia

2004 ◽  
Vol 8 (25) ◽  
Author(s):  
A Bormane ◽  
I Lucenko ◽  
J Perevoščikovs
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Health Service ◽  
Health Risk ◽  
Disease Surveillance ◽  
Prevention And Control ◽  
Public Health Service ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
And Control

The Latvian public health service dates back to 1947. The Sanitary Epidemiological Service, created in Soviet times, provided two main functions – assessment of health risk factors, including surveillance of communicable diseases, and inspection.

scholarly journals From the editors: European politics and communicable disease surveillance

1998 ◽  
Vol 2 (4) ◽  
Author(s):  
J Weinberg
Keyword(s):  
Public Health ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
European Politics ◽  
The Public ◽  
The Past ◽  
Highly Effective

The surveillance of communicable diseases in Europe as a whole has progressed steadily over the past few years. Several highly effective networks enable experts to interchange data and information. They have also demonstrated their ability to identify threats to the public health and have helped to ensure that effective responses have been made to those threats. The description of the outbreak of legionellosis below is an excellent example of this.

scholarly journals Eurosurveillance moves on…

2008 ◽  
Vol 13 (1) ◽  
pp. 1-2
Author(s):  
K Ekdahl ◽  
I Steffens
Keyword(s):  
Public Health ◽  
Prevention And Control ◽  
Editorial Policy ◽  
Communicable Diseases ◽  
European Perspective ◽  
Health Events ◽  
And Control

From this issue of Eurosurveillance, the two previous electronic releases (weekly and monthly) of the journal have been merged into one. The new Eurosurveillance is published every Thursday, with rapid updates on major public health events and news items alongside longer scientific articles and reviews. At the same time we are updating our editorial policy (http://www.eurosurveillance.org/editorial_policy/index.asp) and reviewing the types of articles (http://www.eurosurveillance.org/authors/index.asp) to better reflect our commitment to covering all aspects of epidemiology, prevention and control of communicable diseases from a European perspective.

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