A method for monitoring infectious diseases of international seafarers

By using monitoring wristbands to collect body temperature and SDNN data on international ships, a physiological baseline database was established. Combined with individual and group indicators to determine risk, the accuracy and cost issues of infectious disease monitoring on international ships were solved, and rapid response and low false alarm rates in infectious disease monitoring were achieved.

CN122158179APending Publication Date: 2026-06-05莆田海关综合技术服务中心

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
莆田海关综合技术服务中心
Filing Date
2026-02-12
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies are insufficient for accurately monitoring infectious diseases on international ships, resulting in high false alarm rates, waste of medical resources, inefficiency, and high costs.

Method used

The system uses monitoring wristbands to collect real-time data on crew members' body temperature and heart rate variability (SDNN) to establish a physiological baseline database. By combining individual and group indicators, a risk index K(t) is calculated for early warning. Combined with nucleic acid testing and positioning sensors, a rapid response can be achieved.

Benefits of technology

It reduces false alarm rates, improves monitoring effectiveness, shortens the early warning window, reduces costs, adapts to the enclosed environment of seagoing vessels, and does not affect crew operations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of infectious disease monitoring, and specifically relates to an infectious disease monitoring method for international ship crew, comprising: calibrating all crew members on the ship to be in a healthy state during a calibration period; collecting the body temperature and SDNN data of all crew members during the calibration period through a monitoring bracelet, and establishing a physiological baseline database of the ship; judging the physiological index abnormality degree of individual crew members; calculating the group abnormality degree according to the physiological index abnormality degree of individual crew members; calculating a risk index according to the group abnormality degree; setting an early warning value, and comparing the risk index with the early warning value; the present application takes the ship as a monitoring unit, adopts individual and group double-index joint determination, and reduces the false alarm rate; as long as the overall biological rhythm of the whole ship appears "resonance", the body temperature and / or SDNN of most people simultaneously rise or fall, even if the number of abnormal people is 0, the existence of the pathogenic risk can be determined, the weak group signal caused by asymptomatic infected persons can be captured, and the early warning effect is improved.
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Description

Technical Field

[0001] This invention relates to the field of infectious disease surveillance technology, specifically to a method for monitoring infectious diseases among seafarers on international seagoing vessels. Background Technology

[0002] As a typical enclosed mobile space, international seagoing vessels have crew members living in close proximity and in close contact. Once an infectious disease (such as COVID-19, norovirus, influenza, etc.) occurs, it can spread rapidly, threatening not only the lives and health of the crew members, but also causing ships to be stranded in port, routes to be interrupted, and resulting in significant economic losses.

[0003] Currently, international maritime crew infectious disease surveillance mainly relies on two types of technical means: one is traditional medical surveillance, including pre-boarding nucleic acid / antigen testing, daily manual temperature screening during voyages, and proactive symptom reporting. This method relies on manual operation and has inherent limitations such as lag (e.g., inability to detect asymptomatic infections in the early stages) and subjectivity (e.g., easy to miss symptom reports). The other is routine digital surveillance, which uses portable medical devices to collect individual physiological indicators (e.g., single body temperature and heart rate) and combines them with thresholds to determine whether there are abnormalities. This method focuses on individual indicators, but the characteristics and environment of crew members' work can easily lead to fluctuations in body temperature and heart rate. For example, night shifts, high-temperature work in the engine room, high-humidity work on deck, high-temperature work at sea, low-temperature work in refrigerated rooms, work in confined spaces, and work overboard can all cause changes in crew members' body temperature and heart rate. Therefore, traditional methods of collecting individual physiological indicators and combining them with thresholds to determine whether there are abnormalities are not very accurate in determining the occurrence of infectious diseases. It is very likely that the body's natural reaction after working in a complex environment and with high intensity may be identified as an infectious disease, leading to a high error rate in infectious disease detection, which in turn results in a waste of medical resources and low efficiency. Therefore, there is a need for a cost-effective and more efficient method for monitoring infectious diseases among seafarers on international ships. Summary of the Invention

[0004] The technical problem to be solved by this invention is to provide a cost-effective and more efficient method for monitoring infectious diseases among seafarers on international ships.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for monitoring infectious diseases among seafarers on international ships, comprising: The scheduled number of days for normal navigation operations is designated as the calibration period, during which all crew members are in good health. With the crew's consent, body temperature and SDNN data of all crew members are collected during the calibration period to establish a ship physiological baseline database. The ship physiological baseline database includes: the average body temperature data of all crew members during the calibration period. SDNN data mean Standard deviation of crew member's body temperature during the calibration period SDNN standard deviation The average body temperature of crew member i during the calibration period SDNN mean ; For each ship, obtain the total number of crew members N, and with the crew's consent, obtain the body temperature of crew member i at time t. (t) and SDNN value (t); Determining the degree of abnormality in the physiological indicators of individual crew members (t), when ≥ and ≥ hour, (t) = 1, otherwise (t) = 0; Calculate the population anomaly R(t), R(t) = ; Calculate the risk index K(t), K(t) = R(t) × exp( ), where exp() is the exponential function, Let N be the average body temperature of the total number of people N at time t. Let N be the average SDNN value of the total number of people at time t; Set an early warning value W. When K(t) < 0.3W, continue monitoring; when 0.3W ≤ K(t) < W, strengthen monitoring; when W ≤ K(t), immediately trigger an alarm.

[0006] Preferably, the reservation period is no less than 7 days.

[0007] Preferably, the body temperature and SDNN data are collected via a monitoring wristband; Enhanced monitoring includes increasing the sampling frequency of monitoring wristbands, and... Crew members with (t) = 1 underwent nucleic acid testing.

[0008] Preferably, when for When a crew member with (t) = 1 tests positive for nucleic acid, an alarm should be immediately triggered and the alarm information, the identity information of the crew member who tested positive for nucleic acid, and the infectious disease information should be sent to the management agency and the prevention and control center to which the ship belongs.

[0009] Preferably, the monitoring wristband further includes a positioning sensor and a memory. The positioning sensor acquires the location of the nucleic acid positive crew member and stores it in the memory to form trajectory information; the trajectory information is simultaneously sent to the management agency and prevention and control center to which the ship belongs.

[0010] Preferably, the sampling frequency of the monitoring wristband is increased from once per hour to 2-3 times per hour.

[0011] Preferably, when 0.3W≤K(t)<W, an early warning message is sent to the management agency and control center to which the ship belongs.

[0012] Preferably, when W≤K(t), an alarm is immediately triggered, and alarm information is sent to the management agency and control center to which the ship belongs.

[0013] Preferably, when there are non-crew members on board, the monitoring wristbands are worn after obtaining their consent; The total number of people N changes to the number of people wearing the monitoring bracelet.

[0014] Preferably, the average body temperature of non-crew members SDNN mean All values ​​are fixed.

[0015] Preferably, if some crew members do not have an average body temperature SDNN mean When the same fixed value is used for over-calculation, if all crew members are in good health for the scheduled number of days of operation, then the body temperature and SDNN data for the scheduled number of days of operation will be the data source for the ship's physiological baseline database.

[0016] The beneficial effects of this invention are as follows: Heart rate variability (HRV) is measured using the time-domain index SDNN (standard deviation of normal RR intervals, reflecting the overall HRV level). Therefore, it can be directly calculated by SDNN without converting it to HRV, reducing the computational load. By treating the ship as a monitoring unit and using a combined individual and group index for judgment, alarms will not be triggered by changes in the body temperature or heart rate variability of a few individuals, avoiding false alarms caused by fluctuations in the work or environment of one or more crew members, thus reducing the false alarm rate. As long as the overall biorhythm of the entire ship experiences a "resonance" disorder, such as a simultaneous increase or decrease in the body temperature and / or SDNN of most people, even if the number of abnormal individual crew members is 0, It can detect the presence of pathogenic risks and issue alarms, as well as capture weak cluster signals caused by asymptomatic infections, greatly improving the early warning effect. Furthermore, through the monitoring wristband, it can sample in real time or at predetermined intervals, such as every 10 minutes or 1 hour, significantly shortening the warning window period as needed, buying crucial time for emergency prevention and control on board, and effectively blocking the spread of infectious diseases. At the same time, the monitoring wristband is well-suited to the enclosed environment of seagoing vessels, is highly practical, and the wearable device is lightweight, non-invasive, low-cost, and technologically mature, without affecting the normal work of the crew. Moreover, the entire calculation system is simple and can be deployed locally on the ship, avoiding the need for excessive data computation in the cloud and eliminating the need for remote monitoring using satellite communication services, thus reducing costs. Attached Figure Description

[0017] Figure 1This is a flowchart illustrating a method for monitoring infectious diseases among seafarers on international ships, as described in a specific embodiment of the present invention. Detailed Implementation

[0018] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0019] Please refer to Figure 1 A method for monitoring infectious diseases among seafarers on international ships, comprising: The scheduled number of days for normal navigation operations is designated as the calibration period, during which all crew members are in good health. With the crew's consent, body temperature and SDNN data of all crew members are collected during the calibration period to establish a ship physiological baseline database. The ship physiological baseline database includes: the average body temperature data of all crew members during the calibration period. SDNN data mean Standard deviation of crew member's body temperature during the calibration period SDNN standard deviation The average body temperature of crew member i during the calibration period SDNN mean ; For each ship, obtain the total number of crew members N, and with the crew's consent, obtain the body temperature of crew member i at time t. (t) and SDNN value (t); Determining the degree of abnormality in the physiological indicators of individual crew members (t), when ≥ and ≥ hour, (t) = 1, otherwise (t) = 0; Calculate the population anomaly R(t), R(t) = ; Calculate the risk index K(t), K(t) = R(t) × exp( ), where exp() is the exponential function, Let N be the average body temperature of the total number of people N at time t. Let N be the average SDNN value of the total number of people at time t; Set an early warning value W. When K(t) < 0.3W, continue monitoring; when 0.3W ≤ K(t) < W, strengthen monitoring; when W ≤ K(t), immediately trigger an alarm.

[0020] As described above, heart rate variability (HRV) is measured using the time-domain index SDNN (standard deviation of normal RR intervals, reflecting the overall HRV level). Therefore, it can be directly calculated by SDNN without converting it to HRV, reducing computational load. By treating the ship as a monitoring unit and using a combined individual and group index approach, alarms are not triggered by changes in the body temperature or heart rate variability of a few individuals, avoiding false alarms caused by fluctuations in the work or environment of a particular crew member, thus reducing the false alarm rate. As long as the overall biorhythm of the entire ship experiences a "resonance" disturbance, such as a simultaneous increase or decrease in the body temperature and / or SDNN of most individuals, even if the number of individual crew members with abnormalities is 0, an alarm can still be triggered. The system can detect and trigger alarms when a disease risk is identified, and can also capture weak signals from asymptomatic carriers, greatly improving early warning effectiveness. Furthermore, the monitoring wristband allows for real-time or scheduled sampling at intervals, such as every 10 minutes or 1 hour, significantly shortening the warning window and providing crucial time for emergency response on board, effectively preventing the spread of infectious diseases. The wristband is also well-suited to the enclosed environment of ships, offering high practicality. The wearable device is lightweight, non-invasive, low-cost, and technologically mature, without interfering with crew operations. The entire system is simple to compute and can be deployed locally on board, avoiding the need for cloud computing due to excessive data volume and eliminating the need for remote monitoring via satellite communication services, thus reducing costs.

[0021] Furthermore, the reservation period must be no less than 7 days.

[0022] As described above, the incubation period for most pathogens is 1-5 days, but there are others that may have a longer incubation period, such as tuberculosis, HIV, and rabies, which can last for weeks or months. These incubation periods that are too long do not affect the effectiveness of the calibration period, because international flights generally have incubation periods of 2-5 days for short flights and 28-50 days for long flights. If the incubation period is too long, it is not meaningful to monitor. Therefore, choosing 7 days is a more appropriate time.

[0023] Furthermore, the body temperature and SDNN data are collected via a monitoring wristband; Enhanced monitoring includes increasing the sampling frequency of monitoring wristbands, and... Crew members with (t) = 1 underwent nucleic acid testing.

[0024] As described above, by increasing the sampling frequency, the trend of K(t) can be determined in a timely manner, and an alarm can be triggered promptly if a problem occurs; furthermore, it can also... Crew members with t = 1 can be tested for nucleic acid in a timely manner to determine their status. It is possible to determine whether the crew member with (t) = 1 is infected with the disease, so that timely action can be taken.

[0025] Furthermore, when regarding When a crew member with (t) = 1 tests positive for nucleic acid, an alarm should be immediately triggered and the alarm information, the identity information of the crew member who tested positive for nucleic acid, and the infectious disease information should be sent to the management agency and the prevention and control center to which the ship belongs.

[0026] As can be seen from the above description, a positive nucleic acid test indicates the presence of an infected person, which may lead to a subsequent ship-wide infection. Therefore, it is necessary to immediately alert the authorities and report the infectious disease information to facilitate timely response from management agencies and disease control centers.

[0027] Furthermore, the monitoring wristband also includes a positioning sensor and a memory. The positioning sensor acquires the location of the nucleic acid positive crew member and stores it in the memory to form trajectory information; the trajectory information is simultaneously sent to the management agency and prevention and control center to which the ship belongs.

[0028] As described above, the location sensors can determine the movement trajectory of positive crew members, facilitating timely disinfection and identification of close contacts.

[0029] Furthermore, the sampling frequency of the monitoring wristband will be increased from once per hour to 2-3 times per hour.

[0030] Furthermore, when 0.3W≤K(t)<W, an early warning message is sent to the management agency and control center to which the ship belongs.

[0031] As can be seen from the above description, when 0.3W≤K(t), there may be an infectious disease. By sending information to the management agency and prevention and control center to which the ship belongs, such as the shipping company / shore-based prevention and control center, the customs at the port of entry / call, the county-level or above disease prevention and control center (CDC) at the port of entry, the relevant maritime / health management agency of the flag state, and the World Health Organization (WHO), a timely response can be achieved.

[0032] Furthermore, when W≤K(t), an alarm is immediately triggered, and alarm information is sent to the management agency and control center to which the ship belongs.

[0033] Furthermore, when there are non-crew members on board, monitoring wristbands should be worn after obtaining their consent; The total number of people N changes to the number of people wearing the monitoring bracelet.

[0034] As can be seen from the above description, international routes are not always staffed by crew members, such as cruise ships which have many tourists, so voluntary participation is the primary method; after the change, it is possible to monitor the infectious disease status of all personnel on the ship.

[0035] Furthermore, the average body temperature of non-crew members SDNN mean All values ​​are fixed. If some crew members do not have a mean body temperature... SDNN mean When the same fixed value is used for over-calculation, if all crew members are in good health for the scheduled number of days of operation, then the body temperature and SDNN data for the scheduled number of days of operation will be the data source for the ship's physiological baseline database.

[0036] As can be seen from the above description, since it is impossible to determine whether the tourists are healthy, and many of the tourists are elderly or children, and no manual work is required, only a fixed value needs to be taken, for example... =36.8℃, =130ms, convenient for calculation. Some new crew members may not have basic data, so the same fixed value can be used for over-calculation. If the scheduled work days are all healthy, this data can be regarded as the source of the ship's physiological baseline database.

[0037] Example 1 A method for monitoring infectious diseases among seafarers on international ships, comprising: The calibration period is a period of no less than 7 days during normal navigation operations (intercontinental routes may be extended according to actual conditions). During the calibration period, all crew members on board the ship must be in good health and wear monitoring wristbands. With the consent of the crew members, body temperature and SDNN data of all crew members during the calibration period are collected through the monitoring wristbands (heart rate variability (HRV) is calculated directly by collecting SDNN data (the standard deviation of normal RR intervals, reflecting the overall level of HRV) using the time-domain index SDNN (the standard deviation of normal RR intervals, reflecting the overall level of HRV), without having to be converted to HRV, thus reducing the amount of calculation). A physiological baseline database for the ship is established. The ship physiological baseline database includes: the mean body temperature data of all crew members during the calibration period. SDNN data mean Standard deviation of crew member's body temperature during the calibration period SDNN standard deviation The average body temperature of crew member i during the calibration period SDNN mean ; For each ship, obtain the total number N of crew members on board, with each crew member wearing a monitoring wristband. With the crew member's consent, obtain the body temperature of crew member i at time t through the monitoring wristband. (t) (obtained via temperature sensor) and SDNN value (t) (obtained via PPG photoelectric sensor) and location information (obtained via positioning sensor), and various data are stored in a memory. The positioning sensor acquires the location where the crew member has passed and stores it in the memory to form trajectory information. If the subsequent nucleic acid test is positive, the crew member's movement trajectory information is uploaded.

[0038] Determining the degree of abnormality in the physiological indicators of individual crew members (t), when ≥ and ≥ hour, (t) = 1, otherwise (t) = 0; Calculate the population anomaly R(t), R(t) = ; Calculate the risk index K(t), K(t) = R(t) × exp( ), where exp() is the exponential function, Let N be the average body temperature of the total number of people N at time t. Let N be the average SDNN value of the total number of people at time t; Set the warning value W. If K(t) < 0.3W, then monitoring should be maintained; When 0.3W ≤ K(t) < W, an early warning message is sent to the ship's management agency and control center; at the same time, monitoring is strengthened, and the sampling frequency of the monitoring wristbands is increased (e.g., 1 time / hour → 2-3 times / hour). Crew members with t = 1 underwent nucleic acid testing; when... When a crew member with (t) = 1 tests positive for nucleic acid, an alarm should be immediately triggered and the alarm information, the identity information of the crew member with positive nucleic acid test, infectious disease information, and trajectory information should be sent to the management agency and prevention and control center to which the ship belongs.

[0039] When W≤K(t), the ship will immediately sound an alarm and send alarm information to the management agency and control center to which the ship belongs.

[0040] Management agencies and control centers generally include: the shipping company / shore-based control center to which the ship belongs, the customs office at the port of entry / call, the disease prevention and control center (CDC) at the county level or above in the port of entry, the relevant maritime / health management agency of the flag state, and the World Health Organization (WHO), which are able to respond in a timely manner.

[0041] Example 2 A method for monitoring infectious diseases among seafarers on international ships, which is the same as that in Example 1, will not be repeated here, wherein: When there are non-crew members on board, monitoring wristbands shall be worn after obtaining their consent; The total number of people N changes to the number of people wearing the monitoring bracelet.

[0042] Average body temperature of non-crew members SDNN mean All are fixed values. For example =36.8℃, =130ms, for easy calculation. Mean body temperature is not included. SDNN mean New crew members are also given the same values ​​for transition. If they are healthy and do not experience illness or abnormalities within 7 days (the specific duration is determined according to the calibration period), the data from these 7 days can be used as a source of data for the ship's physiological baseline database.

[0043] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for monitoring infectious diseases among seafarers on international seagoing vessels, characterized in that, include: The number of days that a vessel is scheduled to conduct normal navigation operations is the calibration period, during which all crew members on board the vessel are in good health. With the consent of the crew, body temperature and SDNN data of all crew members were collected during the calibration period to establish a ship physiological baseline database. The ship physiological baseline database includes: the mean body temperature data of all crew members during the calibration period. SDNN data mean Standard deviation of crew member's body temperature during the calibration period SDNN standard deviation The average body temperature of crew member i during the calibration period SDNN mean ; For each ship, obtain the total number of crew members N, and with the crew's consent, obtain the body temperature of crew member i at time t. (t) and SDNN value (t); Determining the degree of abnormality in the physiological indicators of individual crew members (t), when ≥ and ≥ hour, (t) = 1, otherwise (t) = 0; Calculate the population anomaly R(t), R(t) = ; Calculate the risk index K(t), K(t) = R(t) × exp( ), where exp() is the exponential function, Let N be the average body temperature of the total number of people N at time t. Let N be the average SDNN value of the total number of people at time t; Set an early warning value W. When K(t) < 0.3W, continue monitoring; when 0.3W ≤ K(t) < W, strengthen monitoring; when W ≤ K(t), immediately trigger an alarm.

2. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 1, characterized in that, The reservation period must be no less than 7 days.

3. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 1, characterized in that, The body temperature and SDNN data were collected via a monitoring wristband; Enhanced monitoring includes increasing the sampling frequency of monitoring wristbands, and... Crew members with (t) = 1 underwent nucleic acid testing.

4. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 3, characterized in that, When on When a crew member with (t) = 1 tests positive for nucleic acid, an alarm should be immediately triggered and the alarm information, the identity information of the crew member who tested positive for nucleic acid, and the infectious disease information should be sent to the management agency and the prevention and control center to which the ship belongs.

5. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 4, characterized in that, The monitoring wristband also includes a positioning sensor and a memory. The positioning sensor acquires the location of the nucleic acid positive crew member and stores it in the memory to form trajectory information; the trajectory information is simultaneously sent to the management agency and prevention and control center to which the ship belongs.

6. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 3, characterized in that, The sampling frequency of the monitoring wristband has been increased from once per hour to 2-3 times per hour.

7. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 1, characterized in that, When 0.3W≤K(t)<W, an early warning message is sent to the management agency and control center to which the ship belongs.

8. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 1, characterized in that, If W≤K(t), an alarm will be triggered immediately, and alarm information will be sent to the management agency and control center to which the ship belongs.

9. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 3, characterized in that, When there are non-crew members on board, monitoring wristbands shall be worn after obtaining their consent; The total number of people N changes to the number of people wearing the monitoring bracelet.

10. The method for monitoring infectious diseases among seafarers on international seagoing vessels according to claim 9, characterized in that, Average body temperature of non-crew members SDNN mean All are fixed values; If some crew members do not have average body temperature SDNN mean When the same fixed value is used for over-calculation, if all crew members are in good health for the scheduled number of days of operation, then the body temperature and SDNN data for the scheduled number of days of operation will be the data source for the ship's physiological baseline database.