Water, sanitation and hygiene from One Health perspective

Yasobnat, Sandul; Tadvi, Ravina; Patel, Krupali; Saxena, Deepak

doi:10.4103/2773-0344.350691

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The stable area had a clean water source in the form of a dug well, which was used as a water source to provide drinking water for the livestock and clean the stable area. Sufficient clean water is important in maintaining the cleanliness of the cage (15,16). The availability and adequacy of clean water also influence workers' behavior in maintaining personal hygiene while working (17).…”

Section: Discussionmentioning

confidence: 99%

Prevention of Ancylostomiasis Transmission in Livestock and Stockmen with Good Hygiene Behavior and Cage Sanitation

Indriyanti,

Sayono,

Handoyo

et al. 2024

Int J Med Parasitol Epidemiol Sci

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Introduction: Livestock farming is a vulnerable area for the transmission of zoonotic diseases. Good cage management affects the health of livestock and workers. Furthermore, clean and healthy farm conditions help to maintain the health of the people living around the farm. This study was centered on the early detection of worm infections in livestock. Methods: This exploratory study was conducted on a village farm containing 52 cows with 20 workers. Helminthiasis screening was performed with the saturated NaCl flotation technique via laboratory testing. Results: It was found that one cow was infected with hookworm, and all the workers were in healthy condition. Conclusion: Transmission of ancylostomiasis can be prevented by maintaining cage sanitation and worker hygiene behavior.

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Section: Discussionmentioning

confidence: 99%

Prevention of Ancylostomiasis Transmission in Livestock and Stockmen with Good Hygiene Behavior and Cage Sanitation

Indriyanti,

Sayono,

Handoyo

et al. 2024

Int J Med Parasitol Epidemiol Sci

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“…For any diseases, the preventions play a very import role in protecting the human health, which demands to establish a new disease warning system monitoring the comprehensive early warning information about the diseases. In recent years, the one health concepts composed by the environment, human and wild animals health have been proposed and widely developed in the control and prevention of human diseases, especially the zoonoses (Ebani 2022;Wu et al, 2022;Yasobnat et al, 2022). Compared with the traditional disease warning system, the one health system claims to detect and monitor the early warning information related the diseases, such as the environmental factors (e.g., land use and land cover, temperature, precipitation and wind) and the wild animal factors (e.g., wild animal population, density and behaviours) (Baker et al, 2020;Zinsstag et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Dynamical variations of the COVID-19 with the SARS-CoV-2 Omicron of Kazakhstan and Pakistan

Cui

Shi

et al. 2022

Preprint

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Background The ongoing coronavirus disease 2019 (COVID-19) pandemic with the Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) Omicron virus bring a formidable challenge to control and prevention for all the countries, especially for the low development countries. Hence, taking Kazakhstan and Pakistan as examples, this study aims to explore the COVID-19 transmissions with the omicron virus at different contact rates, quarantined rates and test rates. Methods A disease dynamical model is applied in which the population is divided into different individuals. Three time stages are divided according to the omicron transmission characteristics: first outbreak period, calm period and the second outbreak period. The population contact, population quarantine and disease test are considered with five different scenarios to analysis their impacts on the disease. Four statistical metrics are employed to quantify the model's performance, including the correlation coefficient (CC), normalized absolute error (NAE), normalized root mean square error (RMSE) and distance between indices of simulation and observation (DISO). Results Our model has high performance in simulating the COVID-19 transmission in the two countries with high CC bigger than 0.9, and the DISO smaller than 0.5. Compared with the present measures (base line), decreasing (increasing) the contact rates or increasing (decreasing) the quarantined rates can reduce (increase) the peak values of daily new cases and forward (delay) the peak value times. The impacts of the test rates on the disease are weak. When the start times of stage II is brought forward 6 days, the daily new cases are more than 8 and 5 times for Kazakhstan and Pakistan. The impacts of the start times of the stage III on the disease are contradict with the stage II. Conclusions For the two low development countries: Kazakhstan and Pakistan, stronger intensity of control and prevention measures can be more effective on the COVID-19 control. Therefore, to reduce or cut down the omicron transmission, the strict management of the population movement should be employed. Moreover, the timely application of the strategies also plays a key role in the disease control.

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Dynamic variations in COVID-19 with the SARS-CoV-2 Omicron variant in Kazakhstan and Pakistan

Cui

Yimamaidi

et al. 2023

Infect Dis Poverty

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Background The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) and the Omicron variant presents a formidable challenge for control and prevention worldwide, especially for low- and middle-income countries (LMICs). Hence, taking Kazakhstan and Pakistan as examples, this study aims to explore COVID-19 transmission with the Omicron variant at different contact, quarantine and test rates. Methods A disease dynamic model was applied, the population was segmented, and three time stages for Omicron transmission were established: the initial outbreak, a period of stabilization, and a second outbreak. The impact of population contact, quarantine and testing on the disease are analyzed in five scenarios to analysis their impacts on the disease. Four statistical metrics are employed to quantify the model’s performance, including the correlation coefficient (CC), normalized absolute error, normalized root mean square error and distance between indices of simulation and observation (DISO). Results Our model has high performance in simulating COVID-19 transmission in Kazakhstan and Pakistan with high CC values greater than 0.9 and DISO values less than 0.5. Compared with the present measures (baseline), decreasing (increasing) the contact rates or increasing (decreasing) the quarantined rates can reduce (increase) the peak values of daily new cases and forward (delay) the peak value times (decreasing 842 and forward 2 days for Kazakhstan). The impact of the test rates on the disease are weak. When the start time of stage II is 6 days, the daily new cases are more than 8 and 5 times the rate for Kazakhstan and Pakistan, respectively (29,573 vs. 3259; 7398 vs. 1108). The impact of the start times of stage III on the disease are contradictory to those of stage II. Conclusions For the two LMICs, Kazakhstan and Pakistan, stronger control and prevention measures can be more effective in combating COVID-19. Therefore, to reduce Omicron transmission, strict management of population movement should be employed. Moreover, the timely application of these strategies also plays a key role in disease control. Graphical abstract

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Water, sanitation and hygiene from One Health perspective

Cited by 4 publications

References 8 publications

Prevention of Ancylostomiasis Transmission in Livestock and Stockmen with Good Hygiene Behavior and Cage Sanitation

Prevention of Ancylostomiasis Transmission in Livestock and Stockmen with Good Hygiene Behavior and Cage Sanitation

Dynamical variations of the COVID-19 with the SARS-CoV-2 Omicron of Kazakhstan and Pakistan

Dynamic variations in COVID-19 with the SARS-CoV-2 Omicron variant in Kazakhstan and Pakistan

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