Leptospirosis, Climate and Satellite-based Environmental Factors: A Temporal Modeling

Leptospirosis is a zoonotic disease caused by the pathogenic Leptospira bacteria and is ubiquitously distributed in tropical and subtropical regions. Leptospirosis transmission driven by complex factors include climatic, environmental and local social conditions [1]. Each year, there are about 1 million cases of human leptospirosis reported globally and it causes approximately 60,000 people lost their lives due to infection [2].

June 18, 2019

Using Syndromic Surveillance and Climatic Data to Detect High Intensity HFMD Seasons

Hand, foot, and mouth disease is a highly infectious disease common among early childhood populations caused by human enteroviruses (Enterovirus genus).1 The enteroviruses responsible for HFMD generally cause mild illness among children in the United States with symptoms of fever and rash/blisters, but have also been linked to small outbreaks of severe neurological disease such as meningitis, encephalitis, and acute flaccid myelitis.2 Enteroviruses circulate year-round but increase in the summer-fall months across much of the United States.3 The drivers of this seasonality are not fully und

June 18, 2019

CEDESAP and REDesastres network with 'One Health" surveillance approach for the sanitary risk reduction in the agricultural sector

CEDESAP-REDesastres was developed as a result of the holistic approach needed to cope increases of sanitary disaster risks by emerging and reemerging diseases animal and plant diseases with high negative impact on human health, as well as other challenges as consequences of the human activity and climate change upon the pathogen-environment interactions.

September 25, 2017

Utilizing syndromic surveillance systems for climate-related outcomes

Adverse health effects related to climate change are currently being seen, and these adverse outcomes are likely to increase in the future. Syndromic surveillance systems can provide near-real time information which may be used for situational awareness as communities react to these adverse events. These systems may also provide another source of retrospective information, such as triage notes or diagnostic data at time of visit (e.g. blood pressure), which can also be used for planning and response.

June 30, 2017

Two-stage Approach for Detecting Aberration of Influenza-like Illness

Pandemic 2009 H1N1 influenza and recent H7N9 influenza outbreaks made the public aware of the threat of influenza infection. In fact, annual influenza epidemic caused heavy disease burden and high economic loss around the world [1, 2]. Although the virological surveillance provided the high sensitivity and specificity for testing results, the timeliness and the cost of the test were not feasible for extensive public health surveillance. In addition, traditional sentinel physician surveillance also encountered many challenges such as the representativeness and reporting bias.

May 02, 2019

Use of Syndromic Surveillance Information for Expanded Assessment of Wildfire Disaster

Syndromic surveillance information can be a useful for the early recognition of outbreaks, acute public health events and in response to natural disasters. Inhalation of particulate matter from wildland fire smoke has been linked to various acute respiratory and cardiovascular health effects. Historically, wildfire disasters occur across Southern California on a recurring basis. During 2003 and 2007, wildfires ravaged San Diego County and resulted in historic levels of population evacuation, significant impact on air quality and loss of lives and infrastructure.

October 12, 2017

Using Google Dengue Trends to Estimate Climate Effects in Mexico

The incidence of dengue fever (DF) has increased 30 fold between 1960 and 2010. The literature suggests that temperature plays a major role in the life cycle of the mosquito vector and in turn, the timing of DF outbreaks. We use real-time data from GDT and real-time temperature estimates from NASA Earth observing systems to examine the relationship between dengue and climate in 17 Mexican states from 2003–2011. For the majority of states, we predict that a warming climate will increase the number of days the minimum temperature is within the risk range for dengue.


July 13, 2018

Does Climate Predict the Timing of Peak Influenza Activity in the United States?

Though spatio-temporal patterns of influenza spread have often suggested that environmental factors, such as temperature, solar radiation and humidity play a key role, few studies have directly assessed their effect on the timing of annual epidemics. Finkelman et al observed a significant positive relationship between the latitudinal position of temperate countries and epidemic timing. It is hypothesized that during winter months, in temperate regions, decreased skin exposure to sunlight affects immune function by altering the production of certain immunomodulators (e.g.

July 30, 2018

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