Impact of COVID-19 Disease Control Committee (CDCC) policies on prevention of the disease using Bayes network inference in west of Iran
Background The start of the COVID-19 pandemic was an emergency situation that led each country to adopt specific regional strategies to control it. Given the spread of COVID-19 disease, it is crucial to evaluate which policy is more effective in reducing disease transmission. The purpose of this study was to determine the impact of policies made by COVID-19 Disease Control Committee (CDCC) to reduce the risk of the disease in Hamadan province. Methods In the observational study, the data were extracted from three sources in Hamadan, west of Iran; first, the session reports of CDCC; second, information on periodic evaluations conducted by the primary health care directory in Hamadan from April to August 2021 and third, expert panel opinion. Bayes network analysis was used to determine the effect of each policy on mortality rate by GeNIe software version 2.2. Results Among the policies adopted by CDCC in Hamadan, seven policies, i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene had the most impact to prevent the spread of COVID-19, respectively. In this study, the prevalence of the disease was 17.64% with the implementation of these policies. Now, if all these policies are observed 30% more, the prevalence will decrease to 14.18%. Conclusion This study showed that if the seven policies (i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene) are followed simultaneously in the community, the risk of contracting the disease will be greatly reduced. Therefore, in the pandemic of infectious diseases, such policies can help prevent the spread of the disease..
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
|---|---|
| Enthalten in: |
BMC public health - 23(2023), 1 vom: 16. Okt. |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Soltanian, Ali Reza [VerfasserIn] |
|---|
| Links: |
Volltext [kostenfrei] |
|---|
| BKL: | |
|---|---|
| Themen: |
Bayes theorem |
| Anmerkungen: |
© The Author(s) 2023 |
|---|
| doi: |
10.1186/s12889-023-16879-y |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
SPR05342476X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR05342476X | ||
| 003 | DE-627 | ||
| 005 | 20240319064708.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231017s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12889-023-16879-y |2 doi | |
| 035 | |a (DE-627)SPR05342476X | ||
| 035 | |a (SPR)s12889-023-16879-y-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 44.00 |2 bkl | ||
| 100 | 1 | |a Soltanian, Ali Reza |e verfasserin |0 (orcid)0000-0002-7483-3502 |4 aut | |
| 245 | 1 | 0 | |a Impact of COVID-19 Disease Control Committee (CDCC) policies on prevention of the disease using Bayes network inference in west of Iran |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © The Author(s) 2023 | ||
| 520 | |a Background The start of the COVID-19 pandemic was an emergency situation that led each country to adopt specific regional strategies to control it. Given the spread of COVID-19 disease, it is crucial to evaluate which policy is more effective in reducing disease transmission. The purpose of this study was to determine the impact of policies made by COVID-19 Disease Control Committee (CDCC) to reduce the risk of the disease in Hamadan province. Methods In the observational study, the data were extracted from three sources in Hamadan, west of Iran; first, the session reports of CDCC; second, information on periodic evaluations conducted by the primary health care directory in Hamadan from April to August 2021 and third, expert panel opinion. Bayes network analysis was used to determine the effect of each policy on mortality rate by GeNIe software version 2.2. Results Among the policies adopted by CDCC in Hamadan, seven policies, i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene had the most impact to prevent the spread of COVID-19, respectively. In this study, the prevalence of the disease was 17.64% with the implementation of these policies. Now, if all these policies are observed 30% more, the prevalence will decrease to 14.18%. Conclusion This study showed that if the seven policies (i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene) are followed simultaneously in the community, the risk of contracting the disease will be greatly reduced. Therefore, in the pandemic of infectious diseases, such policies can help prevent the spread of the disease. | ||
| 650 | 4 | |a SARS-CoV-2 |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Bayes theorem |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Health policy |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Surveillance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Emergency management |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Ahmaddoost-razdari, Roya |4 aut | |
| 700 | 1 | |a Mahjub, Hossein |0 (orcid)0000-0002-9375-3807 |4 aut | |
| 700 | 1 | |a Poorolajal, Jalal |0 (orcid)0000-0002-3758-3006 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t BMC public health |d BioMed Central, 2001 |g 23(2023), 1 vom: 16. Okt. |w (DE-627)SPR027821633 |w (DE-600)2041338-5 |x 1471-2458 |7 nnns |
| 773 | 1 | 8 | |g volume:23 |g year:2023 |g number:1 |g day:16 |g month:10 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1186/s12889-023-16879-y |z kostenfrei |3 Volltext |
| 912 | |a GBV_SPRINGER | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 44.00 |q VZ |
| 951 | |a AR | ||
| 952 | |d 23 |j 2023 |e 1 |b 16 |c 10 | ||