Suicide and Suicidal Behaviors in the Context of COVID-19 Pandemic in Bangladesh: A Systematic Review.

BACKGROUND: Without integration of the available information, appropriate suicide preventive actions can be hindered. Therefore, this study attempts to review the Bangladeshi COVID-19-related suicide studies for the first time.
METHODS: For conducting a systematic review, the PRISMA guideline was adhered. Bangladeshi literatures concerning the COVID-19 pandemic related to either suicide case or suicidal behavior were identified within 1 to 10 April 2021, from the databases like PubMed, Scopus, PsycINFO, Web of Science, CINAHL, etc. Finally, a total of 9 literatures were included in this review.
RESULTS: Four literatures were cross-sectional studies assessing the prevalence and risk factors of suicidal behavior, and the rest five were retrospective suicide studies concerned with either case study (n=3) or case-series study (n=2). The prevalence of suicidal ideation was identified to be ranging between 5% and 19.0%, whereas the rate increased over time of the pandemic inception. Significant risk factors concerning suicidal behavior included the factors related to (i) socio-demographic variables: female gender, being divorced or widows or widowers or single in marital status, having lower levels of education, being urban residence, belonging to higher socioeconomic class, being unemployed, and having no children, (ii) behavior and health-related variables: lack of physical exercise, cigarette smoking, alcohol consuming, abnormal sleep status, more exposure to social media, and suffering from the higher number of physical health problems; (iii) COVID-19 pandemic-related variables: lower knowledge of COVID-19, lack of preventive COVID-19 behaviors, higher levels of COVID-19 fear, living in highly COVID-19 infected area, higher economic loss due to the pandemic, and experiencing relatives or acquaintances' death by the COVID-19; (iv) psychopathological variables: depression, anxiety, stress, insomnia, suicidal thought history, suicide attempt history, and family with a history of suicide.
CONCLUSION: Implementing cost-effective mental health strategies along with social and community awareness for increasing help-seeking behaviors of suicide risky individuals is highly suggested.

Introduction

Along with the physical symptoms, the COVID-19 has psycho-neurological symptoms including irritability, reduced consciousness (associated with seizures), depressive mood, confusion, sleep problems, anxiety disorders, severe and rare neurological complications like brain inflammation, strokes, delirium and nerve damage, etc. as reported by the WHO.1 This reflects that individuals with the COVID-19 are at higher risk of mental health problems.2 Besides this, under the unexpected lockdown circumstances, general people are being reported suffering from higher levels of emotional and behavioral issues including exhaustion, detachment, irritability, poor concentration, deterioration of work performance, etc., which turns the risk of common mental health problems such as depression, insomnia, traumatic stress, anxiety disorders, etc.3,4 Adhering to the situation, 40% pooled prevalence of poor sleep quality was reported by a recent systematic review, whereas 34%, 26%, 27%, and 26% prevalence was identified for psychological distress, depression, post-traumatic stress symptoms, and anxiety, respectively.2

Suicide is the termination of psychologically vulnerable people’s life. A few prior stages ought to pass before a suicide completion, which includes suicidal ideation or thought, suicide plan, suicide attempt, etc.5,6 It is estimated by the WHO7 that there are at least 20 suicide attempts for every successful suicide completion. Yearly, about 800,000 deaths are reported due to suicide, which accounts for 1.4% of all deaths globally.7 However, there is a significant link between suicide rate increment and stressful life events like viral outbreaks. Evidently, during and aftermath of the viral outbreaks (eg, 1889–1894 Russian Influenza outbreak,8 1918 influenza outbreak,9 2003 SARS epidemic,10 etc.), the suicide rate is reportedly exacerbated. For instance, the elderly suicide rate increased during the 2003 SARS epidemic in Hong Kong in 2003 and 2004, which were not suppressed to the level of the 2002 suicide rate.10

A number of studies forecasted the COVID-19 pandemic impact on suicide rate increment based on rising unemployment rates.11 To give an instance, 14.8 per 100,000 was the suicide rate in the US in 2018, which was predicted to be 16.2 to 17.4 for 2021.12 To combat this scenario, the rate of suicide mortality is supposed to be increased in Bangladesh, a developing country. There are no suicide surveillance systems or authorities in the country, lacking such statistics.13 Having said that, at least 14,436 people died by suicide over one year of the pandemic inception (8 March 2020 to 8 March 2021), whereas it accounts for more than 70% of the deaths occurred by the COVID-19.14 It should be noted that the country has an average trend of yearly 10,000 suicide deaths reflects that the pandemic might aggregate additional suicide occurrences.14,15 Based on the Asian Development Bank, around 9-million people were predicted to be unemployed due to the COVID-19 pandemic impact, which would lead to approximately $3 billion GDP loss.16 As a result, accumulated mental health impacts were observed across the Bangladeshi people with financial stressors,17 which eventually leads to suicidal cases. That is, early of the pandemic, within the first 3-week of April 2020, nine COVID-19 related suicidality cases were reported, where all but one accounted for economic distress and sudden unemployment-related stressors.18,19

During the COVID-19 pandemic, considering the Bangladeshi people’s risk to extreme psychological conditions, suicide, several studies concerned with either suicide cases or suicidal behavior were already conducted. But there is no systematic integration of information from these studies, which hinders implementing appropriate actions to reduce the unexpected suicide occurrences. Thus, for the first time, this study aims to review the Bangladeshi people’s (i) suicidal behavior prevalence and risk factors based on the ecological studies and (ii) suicide stressors based on the case studies, related to the COVID-19 pandemic.

Methods

Search Strategy

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was adhered to conduct the present systematic review20 (Figure 1). Following this guideline, PubMed was first used for searching articles systematically within 1 to 10 April 2021. In addition, other databases, including Scopus, PsycINFO, Web of Science, CINAHL, even Google Scholar and ResearchGate, were used for retrieving articles and preprints that were not indexed in PubMed. The search strategy included three types of keywords: (i) outcome of interest (suicide OR suicidal ideation OR suicide plan OR suicide attempt OR suicidal behavior OR suicidality OR self-harm); AND (ii) exposure (COVID-19 OR pandemic); AND (iii) country (Bangladesh).

Figure 1

PRISMA flowchart of the present review.

Study Selection Criteria

A total of 46 articles were retrieved from several databases, where after removing the duplicate articles, 39 articles existed. Then, “Titles and Abstracts” of the retrieved articles were screened, where 19 articles were excluded for the next steps. However, a total of 20 articles” full-test was finally checked based on the inclusion criteria: (i) being a Bangladeshi study (ii) being either case/case-series or survey-based study (iii) being related to either suicide case or suicidal behaviors (eg, suicidal ideation, suicide plan, and suicide attempt), (iv) reporting either “suicide case” or “prevalence and/or risk factors of suicidal behavior”, (vi) being published in peer-reviewed journal or preprint, (vii) being published in the English language. Finally, a total of 9 articles survived in the process and were included in the present review.

Data Extraction

Two Microsoft Excel files were created to organize the information from the included studies. The data was gathered from the included survey-based studies in the first file, whereas data from the case or case-series studies were extracted in another file.

Results

Description of the Included Studies

A total of 9 articles were included in the present review after adhering to the inclusion criteria. Further, the articles are divided into two major types based on the study nature. That is, (i) survey-based study: a total of 4 cross-sectional studies assessing suicidal behaviors were retrieved (Table 1); and (ii) retrospective study: a total of 5 studies were retrieved, whereas three were case studies (reported either single suicide case or suicide-pact case) and rest 2 studies reported a series of suicide cases (Table 2). However, the cross-sectional studies were conducted from 1 April to 20 July 2020, whereas the case or case-series studies reported the suicide cases occurring within 25 March to 30 September 2020. The mean age of the included cross-sectional study’s participants ranged between 21.4 (± 1.9) to 30.7 (± 5.6) years, whereas 10 to 58 years was the age range of the suicide victims as reported by the largest case-series study.

Table 1

Description of the Included Survey-Based Cross-Sectional Studies Concerned with Suicidal Behaviors

Authors and Publication Year	Sampling Procedure	Data Collection Time	Sample Size	Specific Group and Mean Age	Assessment Tool with Cut-Off Score	Assessment Criteria	Prevalence	Risk Factors
Mamun et al 202121	Online survey, Convenience sampling	1 to 10 April, 2020	10,067	General population; 29.9 ± 9.6 y	Self-developed item: “Do you think about committing suicide, and are these thoughts persistent and related to COVID-19 issues?”	Considered the COVID-19 inception time with a binary response (Yes/No)	SI: 5%	Female, unemployed, district or divisional town residence, being single (compared to married), alcohol use status, presence of comorbidities, being social media users, more exposure to social media, lower knowledge about COVID-19, lower preventive behaviors of COVID-19, fear of COVID-19 infection, and insomnia.
Mamun et al 202022	Online survey, Sampling not reported	8 to 25 April, 2020	3388	General population (29.6 ± 6.7 y) and HCPs (30.7 ± 5.6 y)	Self-developed item: “Do you think about committing suicide, and whether these thoughts were persistent due to the COVID-19 related issues and move forward to plan and attempt?”	Considered the COVID-19 inception time with a binary response (Yes/No)	SB: 6.1% (6.0% GP & 6.1% HCPs)	Female, being divorced or married (compared to unmarried), and having no children.
Tasnim et al 202023	Online survey, Nonprobability sampling	April to May, 2020	3331	University students; 21.4 ± 1.9 y	Self-developed item: “During the COVID-19 outbreak, have you ever seriously thought about killing yourself?”	Considered the COVID-19 inception time with a binary response (Yes/No)	SI: 12.8%	Female, higher socio-economic status, urban residence, not performing physical exercise, abnormal sleep status (more or less sleep), not satisfied with studies, cigarette smoking status, suicidal thought history, suicide attempt history, family history of suicide, depression, anxiety, and stress.
Rahman et al 202124	Online survey, Convenience sampling	10 to 20 July, 2020	1415	General population; 25.42 ± 8.78 y	4-item Suicide Behaviors Questionnaire-Revised	Considered 4 months for the assessment with standard cutoff points (eg, SR ≥7/18).	SI: 19.0%SP: 18.5%SR: 33.5%	Female, marital status of divorced, widows, or widowers (compared to unmarried), lower education levels, living in highly COVID-19 exposure area, economic loss due to the COVID-19 pandemic, relatives or acquaintances who died from COVID-19, fear of COVID-19 infection, depression, and anxiety

Abbreviations: SB, suicidal behavior; SI, suicidal ideation; SP, suicide plane; SR, suicide risk; GP, general population; HCPs, healthcare professionals.

Table 2

Description of the Included Case or Case-Series Studies Concerned with Actual Suicide Cases

Author(s) and Publication Year	Sampling Procedure	Suicide Onset Date	Case (s)	Age (Years)	Gender	Suicide Stressors or Reasons	Suicide Method	Comment(s)
Mamun & Griffiths 202018	Not applicable	25 March, 2020	1	36 y	Male	While the man returned to his village, the villagers thought him infected with COVID-19 based on his fever and flu symptoms and weight loss. The man feared the virus. As of social avoidance and attitudes (ie, xenophobia) by others, he died by suicide.	Hanging	The first case of Bangladeshi suicide related to the COVID-19 pandemic issues, emphasis the public fear
Mamun et al 202025	Not applicable	20 May, 2020	1	40 y	Female	At a hospital, a woman was not treated as being infected with COVID-19 by doctors and nurses and did not want to get infected themselves. They also forbidden others not to help the women or go near her.	Hanging	This case reflects fear in the healthcare sittings, where treatment negligence was alleged.
Mamun et al 202026	Not applicable	11 June, 2020	2	22 y (son) and 47 y (mother)	Male & Female	The son was not interested in taking the online exam although his father arranged a broadband connection. This leads to argument within the father and son, leading the son oppressed. Further, the son’s parents had arguments at night. The next day, the mother and son killed themselves.	Poisoning	Unusual suicide-pact, considering the relationship of the victims (mother-son).
Bhuiyan et al 202019	Not reported	6 April, 2020	1	30 y	Male	Died by suicide due to pressure of unpaid debts, and his family being half-fed and starved for a week after losing work.	Hanging	The first case-series suicide study, that considered the suicide cases occurred in the first 3-week of April.
		10 April, 2020	1	10 y	Female	She was rebuked by her father for asking for food, who had to close his small factory, and therefore, the family had starved for a couple of days.	Hanging
		12 April, 2020	1	35 y	Female	After losing her husband’s job, the mother thought that her decreasing could provide more food for the starved children, and attempted suicide.	Hanging
		13 April, 2020	1	27 y	Male	Day laborer, who lost job, and was reported struggling with starvation and to compound the situation, his wife left him (prior to the pandemic) and the loneliness made the situation worse.	Hanging
		14 April, 2020	1	Not reported	Female	The family lost jobs and earning from tea shop, which led economic hardship; in addition, the female, who attempted suicide by killing her two children was asked by her father-in-law to leave the house with husband and children.	Fire with kerosene oil
		16 April, 2020	1	30 y	Male	An auto-rickshaw driver was unable to earn any for his family, and his help financial relief approach was denied by the local government calming him to be not deserving cases.	Not reported
		24 April, 2020	2	30 y (husband) and 24 y (wife)	Male & Female	A poverty-stricken couple, who had a 3-year old child husband and wife died by suicide due to lockdown-related economic distress and due to existing debts.	Hanging
Boshra et al 202027	Google & Bing search	1 March to 30 September, 2020	37	10 to 58 y (mean age: 35.2)	65% Male (n=24)	In most of the cases, multiple suicide stressors were retrieved, where the final list included: lockdown related unemployment (n=17), depression (n=13), family arguments (n=8), fear (n=6), debt (n=6), hunger (n=4), poverty (n=3), parental abuse (n=2), and single cases for xenophobia, social stigma, parental dispute, and lack of access to treatment.	Hanging (n=27), Poisoning (n=5), Jumping (n=4), and Setting on fire (n=1)	This study provided largest suicide data, although the categorization of suicide stressors is not consisted with the prior studies.

Suicidal Behaviors: Prevalence Rates

A total of 4 cross-sectional studies identified the prevalence rate of suicidal behavior, whereas the rate was assessed from the point of the COVID-19 pandemic inception in Bangladesh to survey time. First of all, Mamun et al21 compromised with the largest sample, a total of 10,067 participants, reported a 5% prevalence of suicidal ideation based on a survey conducted within 1 to 10 April 2020. The rate increased to 6% while the survey was conducted between 8 and 25 April 2020, considering more exposure time to the lockdown situation.22 About 12.8% of suicidal ideation was reported in another study, while it was conducted from April to May 2020.23 Finally, during the month of July, 19.0% and 18.5% of the participants reported suicidal ideation and suicide plan, respectively, where 33.5% of people at high risk of suicide were also found.24

Suicidal Behaviors: Risk Factors

All of the cross-sectional studies assessed wide-ranging risk factors related to suicidal behaviors. These factors are divided into four categories, (i) socio-demographic, (ii) behavior and health, (iii) COVID-19 pandemic, and (iv) psychopathological risk factors.

Socio-Demographic Risk Factors

Of the socio-demographic factors, the female gender was reported to significantly increase the fold of suicidal behavior in all of the included studies.21–24 Marital status was reported to be a significant risk factor in a total of 3 studies; however, heterogeneity of its risk in suicidality was also observed. For instance, 1.599 and 3.770 times higher suicidal ideation risk was observed of unmarried and divorced participants, respectively, compared to the married ones,22 consistent with Mamun et al’s study.21 But compared to the unmarried participants, either divorced or widows or widowers were found being at 6.369 folds of suicidality risk in another study.24 Similarly, a lower level of education was reported increasing the risk of suicidal ideation; that is, 2.694 and 1.690 times higher risk was found for the education levels of secondary or below, and higher secondary/diploma, respectively; than the graduate or higher as education level.24 Mamun et al21 reported that suicidal ideation risk increased in a commensurate manner with the residence of the village to district and divisional cities. In contrast, another study observed that 2.34-times higher risk of suicidal ideation among the urban participants compared to rural ones.23 Regarding the socioeconomic status, only one study found a significant relationship; that is, the participants with higher socioeconomic statuses were at increased risk of suicidal ideation;23 but unemployed participants were also reported at 2-time higher risk in another study.21 In addition, having no children of the respondents reported a 1.793-fold higher risk of suicidal behavior.22

Behavior and Health-Related Risk Factors

Unhealthy lifestyle factors such as not performing physical exercise,23 being cigarette smokers,23 and using alcohol21 were reported as being 2, 2.885, and 1.419 times higher risk of suicidal ideation. Participants reporting their sleep status to be abnormal (ie, 3.252 folds for less than normal, whereas it was 2.190 times for more than normal) were at higher risk of suicidality.23 Similarly, social media users and using it more time were independently identified as suicidal ideation risk factors.21 In addition, participants suffering from a higher number of physical health problems showed a higher risk of suicidal ideation.21

COVID-19 Pandemic-Related Risk Factors

Participants who reported having lower knowledge about COVID-19, lack of preventive COVID-19 behaviors, and a higher level of fear of COVID-19 infection were at higher suicidal ideation risk.21,24 Likewise, other COVID-19 related risk factors such as living in highly COVID-19 exposure area increased 1.347-times higher suicide risk, whereas 2.295 and 1.299 times higher suicide risk was identified for the participants reporting economic loss due to the COVID-19 pandemic and experiencing relatives or acquaintances’ died from the COVID-19, respectively.24

Psychopathological Risk Factors

The common psychopathological factors such as depression, anxiety and stress were the significant risk factors of suicidal ideation. That is, the risk of suicidal ideation risk was increased by 13.810, 6.454, and 9.530 times to the participants who suffered from depression, anxiety, and stress, respectively.23,24 In contrast, another study reported insomnia to be a risk factor.21 Personal history of suicidality such as suicidal thought history and suicide attempt history also increased the risk of suicidality by 7.147 and 5.290 times.23 Similarly, participants reported being 5.354 times highly prone to suicidal ideation if they were from a family with a history of suicidality.23

Actual Suicide: Suicide Stressors

Suicide Stressors Reported from Case Study

After a few days of the COVID-19 pandemic inception in Bangladesh, on 25 March 2020, Mamun and Griffiths18 reported the first COVID-19 suicide case. The suicide victim was alleged to be decreased because of fear of being infected with the COVID-19, for which he was imposed social avoidance by the native villagers.18 In addition, a woman patient’s suicide case was reported by hanging from a hospital’s bathroom window grill.25 Once the woman was admitted to the hospital, nurses and doctors refused to treat her as a thought she might be infected with the virus as she had reported vomiting blood and complained of a sore throat 2-day prior to the suicide incident. Other patients were also forbidden from helping her or go near her by the healthcare staff. Finally, because of treatment negligence, the patient decreased by suicide.25 Furthermore, an unusual suicide pact considering the victims’ relationship (mother and son) was reported on 11 June 2020.26 The son was interested in taking part in the online exam, although his father arranged a broadband connection for the online exam. The conflict led to the argument between the father and son, making the son oppressed as quarreling; which led to further arguments within the son’s parents at night. The next day while the man was outside for work, the mother and son killed themselves.26

Suicide Stressors Reported from Case-Series Study

The first case-series study reported a total of 8 suicidality cases (two rescued) occurring within the first three weeks of April 2020.19 All of the suicidality cases were reported because of economic and financial crisis-related issues. For instance, the victims, either being already poverty-stricken or losing jobs/earning sources after the lockdown imposed in Bangladesh, had to pass days with half-feeding or starving. The starving situation was visualized by the suicide of an adolescent girl, who was rebuked by her father for asking for food, while her father’s small factory was closed down. In another case, a mother attempted suicide by thinking that her decrease could provide more food for the starving children because their starving faces were unbearable to her. Besides, losing the job and earning sources led to turning up familiar conflict, as reported in a case where a woman was asked to leave her father-in-law’s house with her husband and children, who attempted suicide with the killing of two children. In another case, an auto-rickshaw driver who could not earn anything, and his financial relief approach was denied by the local government, calming him to be not deserving ones, committed suicide. Finally, a poverty-stricken couple, who had a 3-year-old child, died by suicide due to the lockdown-related economic distress and existing debts.19

Another case-series study gathered a total of 37 suicide cases that occurred from 1 March to 30 September 2020.27 Males were predominantly dying as reported in 24 cases (out of 37; 65%), whereas 64.9% and 75.7% of the victims were married and lived in a rural setting. The victims’ age range was 10–58 years, whereas 35.2 years were reported as the mean age. Multiple interrelated factors were reported attributing suicide in most of the suicide cases. For instance, unemployment usually turns to family arguments, whereas that study reported these two factors as distinct factors. However, suicide stressors were found to be lockdown related unemployment (n=17), depression (n=13), family arguments (n=8), fear (n=6), debt (n=6), hunger (n=4), poverty (n=3), parental abuse (n=2), and single suicide cases for the factors including xenophobia, social stigma, parental dispute, and lack of treatment access. In the narrow view, issues related to economic and/or financial conditions appeared as the most affecting suicide stressor.27

Discussion

Due to the lockdown related to public health restricted measures, people are being reported suffering psychologically and economically, contributing to mental health problems. As a result, suicide rate increment is not unusual for a country like Bangladesh. However, the present study is the first systematic approach to review the Bangladeshi suicide and suicidal behavior-related studies concerned with the COVID-19 pandemic, which is anticipated to be helpful for the mental health policy and practice.

On 7 March 2020, Bangladesh reported the first confirmed COVID-19 case; and within a few days, the country imposed social restrictions in response to the pandemic.28 On 25 March 2020, the first COVID-19 suicide case was reported alleging fear of COVID-19 infection and social negligence or xenophobia as the suicide stressors.18 However, the first survey assessing the suicidal ideation was conducted around one month of the pandemic inception, where 5% of the prevalence rate was reported.21 The rate increased to 6% in another study while it was conducted a few days after the first survey-based study.22 However, about 19.0% suicidal ideation rate was found after 4-month of the pandemic inception.24 Therefore, it is evident that the more time pandemic persists in the country, the more people will be at risk of suicide.

Of the socio-demographic factors, the female gender is one of the risk factors of suicidal behavior, although they commit less suicide than males as per the WHO.29 Globally, twice times higher suicide rates were found in males (13.7 vs 7.5 per 100,000 population).29 The gender-based disparities in suicidal behavior and suicide (that is, the female has more suicidal behaviors, but less likely to commit suicide) can be attributed due to the diversities of their participating roles and responsibilities in the society, social status as well as differences in social interaction due to their biological differences.30,31 As estimated by this review, females being at higher risk of suicidal behavior,21–24 attention should be paid to ensure their mental wellbeing. However, other socio-demographic factors increasing suicidal behavior risk included being divorced or widows or widowers or single in marital status,21,22,24 having a low level of education,24 being an urban resident,21,23 belonging to higher socioeconomic status,23 being unemployed,21 having no children22 etc. It is evident that these individuals having no partner or children became more lonely as of the lockdown and social restrictions imposed, which are also reported worsening psychological wellbeing, including occurring suicide outside Bangladesh.4,32 Thus, strategies related to online engagement with friends and relatives along with having access to telepsychiatry services are highly recommended.

Participants reporting behavioral and health-related factors such as lack of physical exercise,23 cigarette smoking,23 alcohol-consuming,21 having abnormal sleep statues,23 being more exposed to social media,21 and suffering from the higher number of health problems21 were significantly prone to suicidality. These findings reflect that individuals with unhealthy lifestyles are at a higher risk of suicidal ideation, which is supposed to modify the behavioral risk factors. Consistent with the prior studies, the modifiable behaviors risk factors, lack of physical activities, for example, was found associating with either mental health issues or suicidal behaviors in a dose-response manner.33

Also, lower knowledge of COVID-19, lack of preventive COVID-19 behaviors, higher levels of COVID-19 fear, living in highly COVID-19 infected area, experiencing economic loss due to the pandemic, and having relatives or acquaintances died from the COVID-19, etc., were the COVID-19-related suicidal ideation risk factors.21,24 Therefore, there is a need for urgent initiation of community-based health education and awareness programs, facilitation of authentic, reliable and updated information, and strict monetization of propaganda, misinformation, conspiracy theories, etc., related to the pandemic.34 These strategies can help increase public knowledge and preventive behaviors and decrease their fear regarding COVID-19; in a final turn, to reduce suicidality.

Along with these, a number of psychopathological factors (eg, depression, anxiety, stress, insomnia, suicidal thought history, suicide attempt history, and family with a history of suicide) were found to be significantly intensifying the suicidal ideation risk;21,23,24 which should be considered more critically. Because mental health problems being the proximal suicide risk factors,5,6 whereas psychological disorders attribute around 90% of the global suicide occurrences. In addition, other factors reported in this review may also play a significant role in intensifying the contribution of mental disorders to acquire more capability in suicide completion as mediators. Fear of COVID-19 infection, which was also identified as the actual suicide stressor to this review, indirectly mediated the relationship of psychological conditions (ie, depression from COVID-19 and future career anxiety) reported by a Bangladeshi study.35 Thus, the pandemic-related issues might have significant attribution in suicidality by worsening the mental health problems, which should be considered in the policy strategies.

In addition to the suicidal ideation risk factors, as found in the present review that the Bangladeshi people are mostly committing suicide due to the issues related to (i) economic crisis, (ii) fear of infection, (iii) mental health problems like depression, (iv) family arguments or conflicts, (v) parental abuse, (vi) xenophobia, (vii) social negligence, (viii) social stigma, (ix) parental dispute, (x) lack of access to treatment or treatment negligence etc.;18,19,25–27 where economic issues included unemployment, debt, hunger, and poverty.19,27 The contributing role of economic conditions such as diminished wealth, worse economic status, and unemployment in a higher rate of suicidal behavior are reported in lower- and-middle-income countries during the normal period.36 Adhering to the situation, economic recession and job loss was also reported outside Bangladesh as the leading suicide stressors in the COVID-19 context. For instance, in Pakistan, it was reported as a prominent suicide risk attributor,37 whereas it was the second most affecting stressor after fear of COVID-19 infection in India.32 The same Indian study also identified other stressors such as being uncomfortable in quarantine, xenophobia, social boycott, missing family and loneliness, COVID-19 work-related stress, lack of alcohol access, feeling distressed as of exam postponement, etc.32 In the prior pandemic studies, mainly four types of suicide factors were identified; that is (i) fear of being infected, (ii) being socially isolated, (iii) experiencing disruption in normal life, and (iv) experiencing the burden of long-term illness.10,38 In contrast, Bangladesh had reported most of the suicide cases concerning economic-related issues. However, it is recommended that the suicide risky stressors presented in this review should be focused on while taking mental wellbeing initiatives.

The present review can be limited because of not including the potential articles beyond the search strategies. Besides this, no quality appraisal was performed, which may limit this review. Despite these limitations, this review provides the first observation of suicide and suicidal behavior during the COVID-19 pandemic in Bangladesh, which may facilitate the implementation of mental health strategies. The strategies can be focused on the identified suicidality risk factors and actual suicide stressors, focusing on specific cohorts. In this regard, I have already provided cohort-specific detailed strategies in my prior studies, which can be referred. For instance, in the first COVID-19 suicide study, I and Griffiths18 recommended several mental health intervention programs for the general people. Similar strategies can be found in my other studies with the cohort-specific focus that includes healthcare professionals,25,39 students,40,41 economically vulnerable individuals37,42 etc.

Conclusions

Being a limited resource country, Bangladesh has the imperfect capability to fight the stressful situation turned by the COVID-19 pandemic, whereas a lack of initiatives is taken regarding mental health. In this regard, a systematic evaluation on the extreme mental health condition, suicide, is supposed to be worthy of help. Being the first review on suicide during the COVID-19 pandemic in Bangladesh, it is anticipated to have implications for mental health policymaking and practice. Considering the present review findings, the cost-effective mental health strategies with social and community awareness for increasing the suicide risky individuals’ help-seeking behaviors are highly suggested.