Query Results for New Mexico Infectious Disease Data (data updated nightly) - Shiga toxin-producing E. coli (STEC) Cases per 100,000 Population
|Case status Filter:||Confirmed, Probable|
|Data Grouped By:||Calendar Month, Calendar Year|
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Shiga toxin-producing E. coliShiga toxin-producing E. coli (STEC) are diarrhea-causing strains of a group of bacteria called Escherichia coli. E. coli O157 is the most well-known type of STEC, but there are many other types that can cause illness in humans. Illness caused by STEC often begins with non-bloody diarrhea and severe abdominal cramping, 3 to 4 days after exposure to the bacteria. After several days the diarrhea usually becomes bloody. Fever occurs in less than one third of cases. Some people infected with STEC, particularly E. coli O157, may develop a serious complication called hemolytic-uremic syndrome (HUS) that can lead to chronic kidney failure. Children under the age of 5 and the elderly are more likely to develop HUS. STEC live in the intestines of healthy cattle, deer, sheep and goats. STEC infections usually result from handling or eating raw or undercooked ground beef, drinking unpasteurized milk, or improper hand-washing following contact with infected animals or surfaces contaminated with feces from an infected animal. However, recent outbreaks of STEC infection have been associated with sprouts, lettuce, spinach, salami, unpasteurized apple juice, and swimming in or drinking sewage-contaminated water. STEC may also be passed from one person to another. For more information, please see [http://ibis.health.state.nm.us/view/docs/Query/IDEpi/E.Coli.0208.pdf].[[br]][[br]]
Statistical StabilityStatistical stability, reported in the data table, is based on a statistic called the "Relative Standard Error," or RSE, which is the standard error expressed as a proportion of the point estimate (e.g., 30% of the point estimate). The following conventions are used here to interpret the RSE. * A dash (-) means that the relative standard error (RSE) is below 0.30 and the count or rate may be considered stable. * "Unstable" is displayed when the RSE is 0.30-0.50. An unstable count or rate may fluctuate widely across time periods due to random variation (chance). * "Very Unstable" is displayed when the RSE is greater than 0.50. A very unstable count or rate should not be used to inform decisions. You may combine years or otherwise increase the population size used in the query to achieve a more stable count or rate. Problems with statistical instability typically occur when there is a small number of health events in a small population. For more information on statistical stability, visit the NM-IBIS Reliability & Validity page [https://ibis.health.state.nm.us/resource/ReliabilityValidity.html].
Infectious Disease DataInfectious disease data on NM-IBIS are updated nightly. When querying data by month or year, please be aware that data for the current time period will not be complete until after the end of the time period (i.e., after the end of the month or year).
Data for the current year are provisional and may change significantly upon the completion of ongoing investigations. Data for prior years are also subject to minor revisions due to corrections or identification of historical cases.
For MMWR Week calendar dates, please see [http://ibis.health.state.nm.us/resources/MMWRWeekCalendar.html].
When querying data by race/ethnicity, please be aware that cases missing race/ethnicity information may not be displayed as a separate category, but will be included in the "Total" row, reflecting overall New Mexico counts or rates.[[br]][[br]]
Denominator for Rate CalculationA disease incidence rate is the number of persons who became ill in a given time period divided by the number of persons at risk during the same time period. Incidence rates in this IBIS module use a year as the time frame of reference and "person-years" in the denominator of the calculation. For events counted over an entire year, person-years is the total (July 1) population for that geography and sub-population (e.g., age group). For monthly estimates, person-years is calculated as the annual population divided by 12. To get current population estimates for New Mexico, use the IBIS Query module for population estimates.
Rates for 2017 are currently calculated using 2016 population estimates.
NM-IBIS Map GuidanceFor guidance on NM-IBIS map categories, please visit [https://ibis.health.state.nm.us/resource/MapChoroClasses.html].
- New Mexico Electronic Disease Surveillance System (NM-EDSS), New Mexico Department of Health
- Population Estimates: University of New Mexico, Geospatial and Population Studies (GPS) Program, http://gps.unm.edu/.
Infectious Disease DataDisease incidence data are derived from reports of notifiable infectious diseases. NMDOH relies on health care providers, laboratories, hospitals, clinics, institutions and individuals to report suspected and confirmed notifiable infectious diseases in accordance with New Mexico Administrative Code 188.8.131.52. Under-reporting can occur due to of lack of awareness about reporting requirements or lack of compliance with those requirements. Not all cases of infectious diseases can be detected for various reasons including lack of access to health care services, lack of laboratory testing or concerns about confidentiality. Specific and standardized national case definitions are used to classify disease reports by case status. To report a disease incident included in the Administrative Code, contact the Epidemiology and Response Division at the New Mexico Department of Health, 505-827-0006.[[br]][[br]]
Population DataPopulation estimates for previous years are occasionally revised as new information becomes available. When publishing trend data, always be sure that your rates for earlier years match current rates on NM-IBIS that have been calculated with the most up-to-date population estimates.
These data were queried on: Tue, 2 Jun 2020 03:00:03 MDT
The dataset was last updated on: Mon, 1 Jun 2020 03:48:31 MDT
The dataset was last updated on: Mon, 1 Jun 2020 03:48:31 MDT
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