scholarly journals The use of molecular xenomonitoring for surveillance of mosquito-borne diseases

2020 ◽  
Vol 376 (1818) ◽  
pp. 20190816 ◽  
Author(s):  
Mary M. Cameron ◽  
Anita Ramesh
Keyword(s):  
Disease Surveillance ◽  
Control Strategies ◽  
Emerging Infectious Diseases ◽  
Early Warning Systems ◽  
Human Infection ◽  
Infection Prevalence ◽  
Surveillance Systems ◽  
Successful Control ◽  
Vector Borne ◽  
Molecular Xenomonitoring

The scientific community recognizes that molecular xenomonitoring (MX) can allow infected mosquitoes to serve as a proxy for human infection in vector-borne disease surveillance, but developing reliable MX systems for programmatic use has been challenging. The primary aim of this article is to examine the available evidence to recommend how MX can best be used for various purposes. Although much of the literature published within the last 20 years focuses on using MX for lymphatic filariasis elimination, a growing body of evidence supports its use in early warning systems for emerging infectious diseases (EIDs). An MX system design must consider the goal and target (e.g. diseases targeted for elimination versus EIDs), mosquito and pathogen characteristics, and context (e.g. setting and health system). MX is currently used as a ‘supplement’ to human surveillance and will not be considered as a ‘replacement’ until the correlation between pathogen-infection rates in human and mosquito populations is better understood. Establishing such relationships may not be feasible in elimination scenarios, due to increasingly dwindling human infection prevalence after successful control, but may still be possible for EIDs and in integrated disease surveillance systems. This article is part of the theme issue ‘Novel control strategies for mosquito-borne diseases'.

Adaptation of Animal and Human Health Surveillance Systems for Vector-Borne Diseases Accompanying Climate Change

2020 ◽  
Vol 48 (4) ◽  
pp. 694-704
Author(s):  
Sam F. Halabi
Keyword(s):  
Climate Change ◽  
Infectious Diseases ◽  
Human Health ◽  
Disease Surveillance ◽  
Surveillance Systems ◽  
Climate Conditions ◽  
Vector Borne Diseases ◽  
Disease Surveillance System ◽  
Vector Borne ◽  
Inspection Service

Anthropogenic climate change is causing temperature rise in temperate zones resulting in climate conditions more similar to subtropical zones. As a result, rising temperatures increase the range of disease-carrying insects to new areas outside of subtropical zones, and increased precipitation causes flooding that is more hospitable for vector breeding. State governments, the federal government, and governmental agencies, like the Animal and Plant Health Inspection Service (APHIS) of USDA and the National Notifiable Disease Surveillance System (NNDSS) of the U.S. Centers for Disease Control and Prevention, lack a coordinated plan for vector-borne disease accompanying climate change. APHIS focuses its surveillance primarily on the effect of illness on agricultural production, while NNDSS focuses on the emergence of pathogens affecting human health. This article provides an analysis of the current framework of surveillance of, and response to, vector-borne infectious diseases, the impacts of climate change on the spread of vector-borne infectious diseases, and recommends changes to federal law to address these threats.

scholarly journals Opportunities for improved surveillance and control of dengue from age-specific case data

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Isabel Rodriguez-Barraquer ◽  
Henrik Salje ◽  
Derek A Cummings
Keyword(s):  
Disease Surveillance ◽  
Control Strategies ◽  
Age Distribution ◽  
Environmental Drivers ◽  
Surveillance Systems ◽  
Incidence Data ◽  
Seroprevalence Data ◽  
Administrative Units ◽  
And Control ◽  
Incident Cases

One of the challenges faced by global disease surveillance efforts is the lack of comparability across systems. Reporting commonly focuses on overall incidence, despite differences in surveillance quality between and within countries. For most immunizing infections, the age distribution of incident cases provides a more robust picture of trends in transmission. We present a framework to estimate transmission intensity for dengue virus from age-specific incidence data, and apply it to 359 administrative units in Thailand, Colombia, Brazil and Mexico. Our estimates correlate well with those derived from seroprevalence data (the gold standard), capture the expected spatial heterogeneity in risk, and correlate with known environmental drivers of transmission. We show how this approach could be used to guide the implementation of control strategies such as vaccination. Since age-specific counts are routinely collected by masany surveillance systems, they represent a unique opportunity to further our understanding of disease burden and risk for many diseases.

Panel 2.2: Surveillance, Early Warning Alert, and Response: Communicable and Vector-Borne Diseases

2005 ◽  
Vol 20 (6) ◽  
pp. 399-403 ◽  
Author(s):  
Collette Roure ◽  
Asheena Khalakdina ◽  
Kumnuan Ungchusak ◽  
Media Yulizar ◽  
P. Ravindran ◽  
...  
Keyword(s):  
Early Warning ◽  
Disease Surveillance ◽  
Early Warning Systems ◽  
World Health ◽  
Vector Borne Diseases ◽  
Tsunami Disaster ◽  
Laboratory Capacity ◽  
Vector Borne ◽  
Health Organization ◽  
Key Questions

AbstractThis is a summary of the presentations and discussion of Surveillance, Early Warning Alert and Response at the Conference, Health Aspects of the Tsunami Disaster in Asia, convened by the World Health Organization (WHO)in Phuket, Thailand, 04–06 May 2005. The topics discussed included issues related to the surveillance, early warning alert, and response to communicable and vector-borne diseases as pertaining to the responses to the damage created bythe Tsunami. It is presented in the following major sections: (1) key questions; (2) needs assessment; (3) coordination(4) gap filling; and (5) capacity building. The key questions section is presented in six sub-sections: (1) communicable diseases; (2) early warning; (3) laboratory capacity and referral networking; (4) coordination of disease surveillance, early warning, and response; (5) health infrastructure rebuilding; and (6) using existing national surveillance plans toenhance disease surveillance and early warning systems.

scholarly journals Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease-19 Self-Testing

Diagnostics ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 198 ◽  
Author(s):  
Tivani P. Mashamba-Thompson ◽  
Ellen Debra Crayton
Keyword(s):  
Artificial Intelligence ◽  
Low Income ◽  
Disease Surveillance ◽  
Transmission Rate ◽  
Low Cost ◽  
Emerging Infectious Diseases ◽  
Low Income Countries ◽  
Surveillance Systems ◽  
Self Testing ◽  
Novel Coronavirus

The novel coronavirus disease 19 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle to cope with this COVID-19 outbreak and this calls for a tailored strategic response for these settings. Here, we recommend a low cost blockchain and artificial intelligence-coupled self-testing and tracking systems for COVID-19 and other emerging infectious diseases. Prompt deployment and appropriate implementation of the proposed system have the potential to curb the transmissions of COVID-19 and the related mortalities, particularly in settings with poor access to laboratory infrastructure.

Will integrated surveillance systems for vectors and vector-borne diseases be the future of controlling vector-borne diseases? A practical example from China

2016 ◽  
Vol 144 (9) ◽  
pp. 1895-1903 ◽  
Author(s):  
Y. WU ◽  
F. LING ◽  
J. HOU ◽  
S. GUO ◽  
J. WANG ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Monitoring Systems ◽  
Disease Monitoring ◽  
Surveillance Systems ◽  
Control Vector ◽  
Notifiable Disease ◽  
Vector Borne Diseases ◽  
Vector Borne

SUMMARYVector-borne diseases are one of the world's major public health threats and annually responsible for 30–50% of deaths reported to the national notifiable disease system in China. To control vector-borne diseases, a unified, effective and economic surveillance system is urgently needed; all of the current surveillance systems in China waste resources and/or information. Here, we review some current surveillance systems and present a concept for an integrated surveillance system combining existing vector and vector-borne disease monitoring systems. The integrated surveillance system has been tested in pilot programmes in China and led to a 21·6% cost saving in rodent-borne disease surveillance. We share some experiences gained from these programmes.

scholarly journals Opportunities for improved surveillance and control of infectious diseases from age-specific case data

2019 ◽  
Author(s):  
Isabel Rodríguez-Barraquer ◽  
Henrik Salje ◽  
Derek AT Cummings
Keyword(s):  
Disease Surveillance ◽  
Control Strategies ◽  
Age Distribution ◽  
Environmental Drivers ◽  
Surveillance Systems ◽  
Incidence Data ◽  
Seroprevalence Data ◽  
Administrative Units ◽  
And Control ◽  
Incident Cases

AbstractOne of the challenges faced by global disease surveillance efforts is the lack of comparability across systems. Reporting commonly focuses on overall incidence, despite differences in surveillance quality between and within countries. For most immunizing infections, the age-distribution of incident cases provides a more robust picture of trends in transmission. We present a framework to estimate transmission intensity for dengue virus from age-specific incidence data, and apply it to 363 administrative units in Thailand, Colombia, Brazil and Mexico. Our estimates correlate well with those derived from seroprevalence data (the gold-standard), capture the expected spatial heterogeneity in risk, and correlate with known environmental drivers of transmission. We show how this approach could be used to guide the implementation of control strategies such as vaccination. Since age-specific counts are routinely collected by many surveillance systems, they represent a unique opportunity to further our understanding of disease burden and risk for many diseases.

Health research based on geospatial tools: a timely approach in a changing environment

2009 ◽  
Vol 84 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Robert Bergquist ◽  
Laura Rinaldi
Keyword(s):  
Disease Surveillance ◽  
Geographical Information Systems ◽  
Weather Forecasting ◽  
Practical Importance ◽  
Epidemiological Data ◽  
Early Warning Systems ◽  
Life Cycles ◽  
Geographical Information ◽  
Surveillance Systems ◽  
Intermediate Hosts

AbstractThe possibilities of disease prediction based on the environmental characteristics of geographical areas and specific requirements of the causative infectious agents are reviewed and, in the case of parasites whose life cycles involve more than one host, the needs of the intermediate hosts are also referred to. The geographical information systems framework includes epidemiological data, visualization (in the form of maps), modelling and exploratory analysis using spatial statistics. Examples include climate-based forecast systems, based on the concept of growing degree days, which now exist for several parasitic helminths such as fasciolosis, schistosomiasis, dirofilariasis and also for malaria. The paper discusses the limits of data collection by remote sensing in terms of resolution capabilities (spatial, temporal and spectral) of sensors on-board satellites. Although the data gained from the observation of oceans, land, elevations, land cover, land use, surface temperatures, rainfall, etc. are primarily for weather forecasting, military and commercial use, some of this information, particularly that from the climate research satellites, is of direct epidemiological utility. Disease surveillance systems and early-warning systems (EWS) are prime examples of academic approaches of practical importance. However, even commercial activities such as the construction of virtual globes, i.e. computer-based models of the Earth, have been used in this respect. Compared to conventional world maps, they do not only show geographical and man-made features, but can also be spatially annotated with data on disease distribution, demography, economy and other measures of particular interest.

Awareness of symptomatic differences Covid-19, SARS, Swine Flu, Common cold among dental students

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1026-1033
Author(s):  
Nivedha Valliammai Mahalingam ◽  
Abilasha R ◽  
Kavitha S
Keyword(s):  
Infectious Diseases ◽  
Undergraduate Students ◽  
Common Cold ◽  
Emerging Infectious Diseases ◽  
Dental Students ◽  
Swine Flu ◽  
Viral Diseases ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
The Impact

Enormous successes have been obtained against the control of major epidemic diseases, such as SARS, MERS, Ebola, Swine Flu in the past. Dynamic interplay of biological, socio-cultural and ecological factors, together with novel aspects of human-animal interphase, pose additional challenges with respect to the emergence of infectious diseases. The important challenges faced in the control and prevention of emerging and re-emerging infectious diseases range from understanding the impact of factors that are necessary for the emergence, to development of strengthened surveillance systems that can mitigate human suffering and death. The aim of the current study is to assess the awareness of symptomatic differences between viral diseases like COVID-19, SARS, Swine flu and common cold among dental students that support the prevention of emergence or re-emergence. Cross-sectional type of study conducted among the undergraduate students comprising 100 Subjects. A questionnaire comprising 15 questions in total were framed, and responses were collected in Google forms in SPSS Software statistical analysis. The study has concluded that dental students have an awareness of the symptomatic differences between infectious viral disease. The study concluded that the awareness of symptomatic differences between viral diseases like COVID-19, SARS, Swine flu, Common cold is good among the dental students who would pave the way for early diagnosis and avoid spreading of such diseases. A further awareness can be created by regular webinars, seminars and brainstorming sessions among these healthcare professionals.

scholarly journals Predicting the Presence of Leptospires in Rodents from Environmental Indicators Opens Up Opportunities for Environmental Monitoring of Human Leptospirosis

2021 ◽  
Vol 13 (2) ◽  
pp. 325
Author(s):  
Leon Biscornet ◽  
Christophe Révillion ◽  
Sylvaine Jégo ◽  
Erwan Lagadec ◽  
Yann Gomard ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Environmental Factors ◽  
Control Strategies ◽  
Sampling Site ◽  
Rattus Rattus ◽  
Environmental Parameters ◽  
Environmental Indicators ◽  
Small Island ◽  
Urban Landscapes ◽  
Infection Prevalence

Leptospirosis, an environmental infectious disease of bacterial origin, is the infectious disease with the highest associated mortality in Seychelles. In small island territories, the occurrence of the disease is spatially heterogeneous and a better understanding of the environmental factors that contribute to the presence of the bacteria would help implement targeted control. The present study aimed at identifying the main environmental parameters correlated with animal reservoirs distribution and Leptospira infection in order to delineate habitats with highest prevalence. We used a previously published dataset produced from a large collection of rodents trapped during the dry and wet seasons in most habitats of Mahé, the main island of Seychelles. A land use/land cover analysis was realized in order to describe the various environments using SPOT-5 images by remote sensing (object-based image analysis). At each sampling site, landscape indices were calculated and combined with other geographical parameters together with rainfall records to be used in a multivariate statistical analysis. Several environmental factors were found to be associated with the carriage of leptospires in Rattus rattus and Rattus norvegicus, namely low elevations, fragmented landscapes, the proximity of urbanized areas, an increased distance from forests and, above all, increased precipitation in the three months preceding trapping. The analysis indicated that Leptospira renal carriage could be predicted using the species identification and a description of landscape fragmentation and rainfall, with infection prevalence being positively correlated with these two environmental variables. This model may help decision makers in implementing policies affecting urban landscapes and/or in balancing conservation efforts when designing pest control strategies that should also aim at reducing human contact with Leptospira-laden rats while limiting their impact on the autochthonous fauna.

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